{
    "profileId": "modelbreeder.public-route-inventory.v2",
    "site": {
        "name": "ModelBreeder.com",
        "url": "https://modelbreeder.com/",
        "description": "A plain PHP, no-database research and engineering guide to the positive side of model breeding: useful descendants, local model ecologies, privacy-preserving local AI, fitness proofs, adaptive governance, provenance, source-backed discovery, and answer-ready technical publishing.",
        "version": "2.9.1",
        "buildDateUtc": "2026-06-29",
        "owner": "Michael Kappel",
        "contactUrl": "https://modelbreeder.com/contact",
        "siteEvidenceUrl": "https://modelbreeder.com/site-evidence",
        "searchDiscoveryEvidenceUrl": "https://modelbreeder.com/site-evidence/search-answer-generative-discovery"
    },
    "generatedAtUtc": "2026-06-29T02:12:52+00:00",
    "routeCount": 401,
    "routes": [
        {
            "route": "/",
            "canonicalUrl": "https://modelbreeder.com/",
            "type": "home",
            "title": "ModelBreeder.com",
            "description": "A plain PHP, no-database research and engineering guide to the positive side of model breeding: useful descendants, local model ecologies, privacy-preserving local AI, fitness proofs, adaptive governance, provenance, source-backed discovery, and answer-ready technical publishing.",
            "section": "Home",
            "updated": "2026-06-29",
            "indexable": true,
            "schemaTypes": [
                "WebSite",
                "Organization",
                "Person",
                "WebPage"
            ],
            "machineProfiles": [
                "human-page",
                "canonical-entry",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only page."
        },
        {
            "route": "/about",
            "canonicalUrl": "https://modelbreeder.com/about",
            "type": "curated-guide",
            "title": "About ModelBreeder.com",
            "metaTitle": "About ModelBreeder.com — ModelBreeder.com",
            "description": "Editorial policy, research maturity, source preservation, and the plain-PHP architecture behind this technical learning site.",
            "section": "About",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/about.md",
            "tags": [
                "about",
                "editorial",
                "research",
                "architecture",
                "archive"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/contact",
            "canonicalUrl": "https://modelbreeder.com/contact",
            "type": "curated-guide",
            "title": "Contact and About Michael Kappel",
            "metaTitle": "Contact and About Michael Kappel — ModelBreeder.com",
            "description": "Direct contact information and a technical biography for Michael Kappel, the public creator contact behind ModelBreeder.com.",
            "section": "About",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/contact.md",
            "tags": [
                "contact",
                "Michael Kappel",
                "creator",
                "credibility",
                ".NET",
                "SQL Server",
                "TypeScript",
                "AI memory",
                "NuGet",
                "local runtime"
            ],
            "reports": [
                "michael-kappel-public-contact-technical-profile"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/about/editorial-method",
            "canonicalUrl": "https://modelbreeder.com/about/editorial-method",
            "type": "curated-guide",
            "title": "Editorial method",
            "metaTitle": "Editorial method — ModelBreeder.com",
            "description": "How ModelBreeder.com converts a heterogeneous report corpus into a structured, implementation-oriented, and maturity-labeled curriculum.",
            "section": "About",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/about/editorial-method.md",
            "tags": [
                "editorial",
                "sources",
                "synthesis",
                "quality"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "four-fs-fast-flexible-frugal-federated",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/about/research-status",
            "canonicalUrl": "https://modelbreeder.com/about/research-status",
            "type": "curated-guide",
            "title": "Research status policy",
            "metaTitle": "Research status policy — ModelBreeder.com",
            "description": "The maturity labels used to separate established methods, emerging practices, conceptual synthesis, blueprints, risk analysis, and speculation.",
            "section": "About",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/about/research-status.md",
            "tags": [
                "research status",
                "maturity",
                "evidence",
                "policy"
            ],
            "reports": [
                "terms-four-fs-code-beading-model-breeding",
                "designing-perfect-evolutionary-ai-system",
                "instrumental-drives"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/about/site-architecture",
            "canonicalUrl": "https://modelbreeder.com/about/site-architecture",
            "type": "curated-guide",
            "title": "Site architecture",
            "metaTitle": "Site architecture — ModelBreeder.com",
            "description": "The file-backed PHP architecture, routing, content model, rendering pipeline, security controls, deployment shape, and extension points used by this site.",
            "section": "About",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/about/site-architecture.md",
            "tags": [
                "php",
                "architecture",
                "file backed",
                "security",
                "deployment"
            ],
            "reports": [
                "ai-code-beading-model-breeding"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/about/source-preservation",
            "canonicalUrl": "https://modelbreeder.com/about/source-preservation",
            "type": "curated-guide",
            "title": "Source preservation and integrity",
            "metaTitle": "Source preservation and integrity — ModelBreeder.com",
            "description": "How the original Markdown reports are retained, hashed, categorized, rendered, and included in the distribution package.",
            "section": "About",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/about/source-preservation.md",
            "tags": [
                "archive",
                "docs",
                "integrity",
                "sha256",
                "provenance"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "four-fs-fast-flexible-frugal-federated",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/about/ai-project-memory",
            "canonicalUrl": "https://modelbreeder.com/about/ai-project-memory",
            "type": "curated-guide",
            "title": "AI project memory and handoff",
            "metaTitle": "AI project memory and handoff — ModelBreeder.com",
            "description": "How ModelBreeder.com uses repository-local .uai memory, active file intake, docs-as-source memory, checksums, and review-gated project handoff.",
            "section": "About",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/about/ai-project-memory.md",
            "tags": [
                "uai",
                "ai memory",
                "project handoff",
                "file handoff",
                "provenance",
                "docs"
            ],
            "reports": [
                "ai-code-beading-model-breeding",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture",
            "canonicalUrl": "https://modelbreeder.com/architecture",
            "type": "curated-guide",
            "title": "Reference Architecture for Governed Model Ecologies",
            "metaTitle": "Reference Architecture for Governed Model Ecologies — ModelBreeder.com",
            "description": "Design model populations with routers, specialists, evidence gates, lineage DAGs, resource ledgers, and release packets that make improvements easier to inspect and reuse.",
            "section": "Architecture",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/architecture.md",
            "tags": [
                "architecture",
                "router",
                "specialists",
                "lineage",
                "resource ledger",
                "release packet"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "zero-dependency-rust-llm-improvements-v2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/lineage-dag",
            "canonicalUrl": "https://modelbreeder.com/architecture/lineage-dag",
            "type": "curated-guide",
            "title": "Lineage DAGs Make Capability Reusable",
            "metaTitle": "Lineage DAGs Make Capability Reusable — ModelBreeder.com",
            "description": "How lineage graphs preserve parentage, operators, evidence, rollback targets, and reusable improvements across a model ecology.",
            "section": "Architecture",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/architecture/lineage-dag.md",
            "tags": [
                "lineage DAG",
                "parentage",
                "evidence packet",
                "rollback target",
                "reusable improvements"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "tinyrustlm-runtime-source-integration-notes"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/local-model-innovation-stack",
            "canonicalUrl": "https://modelbreeder.com/architecture/local-model-innovation-stack",
            "type": "curated-guide",
            "title": "Local Model Innovation Stack",
            "metaTitle": "Local Model Innovation Stack — ModelBreeder.com",
            "description": "A practical stack for local AI innovation: device hardware, open weights, local RAG, adapters, routers, evaluation evidence, lineage, and hybrid escalation.",
            "section": "Architecture",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/architecture/local-model-innovation-stack.md",
            "tags": [
                "local AI",
                "architecture",
                "open-weight models",
                "RAG",
                "adapters",
                "router",
                "evidence",
                "model breeding"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v270-positive-exploration-directive",
                "four-fs-fast-flexible-frugal-federated-v4",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "zero-dependency-rust-llm-improvements-v2",
                "ai-code-beading-model-breeding"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What architecture turns local AI adoption into a model-breeding system?",
            "canonicalAnswer": "A local model innovation stack combines local hardware, open-weight models, private retrieval, adapters, routers, evidence packets, lineage DAGs, and hybrid escalation so local specialists can improve and be reused.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/fitness-vectors",
            "canonicalUrl": "https://modelbreeder.com/architecture/fitness-vectors",
            "type": "curated-guide",
            "title": "Fitness Vectors for Useful Descendants",
            "metaTitle": "Fitness Vectors for Useful Descendants — ModelBreeder.com",
            "description": "A practical multidimensional scoring object for comparing model descendants across utility, latency, memory, energy, privacy, novelty, maintainability, and human benefit.",
            "section": "Architecture",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/architecture/fitness-vectors.md",
            "tags": [
                "fitness vector",
                "scoring",
                "evidence",
                "resource ledger",
                "human benefit"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "modelbreeder-theory-vs-source-files-v2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/browser-local-breeding-workbench",
            "canonicalUrl": "https://modelbreeder.com/architecture/browser-local-breeding-workbench",
            "type": "curated-guide",
            "title": "Browser-Local Breeding Workbench",
            "metaTitle": "Browser-Local Breeding Workbench — ModelBreeder.com",
            "description": "A practical architecture for teaching model breeding in the browser with file-backed manifests, local dashboards, deterministic simulations, and future WASM model packages.",
            "section": "Architecture",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/architecture/browser-local-breeding-workbench.md",
            "tags": [
                "browser local",
                "wasm",
                "rust llm",
                "dashboard",
                "model package",
                "local-first"
            ],
            "reports": [
                "modelbreeder-theory-vs-source-files-v2",
                "zero-dependency-rust-llm-improvements-v2",
                "tiny-llm-adapters-lora",
                "teleodynamic-evolution-ai-ecosystems-v4"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/reference-architecture",
            "canonicalUrl": "https://modelbreeder.com/architecture/reference-architecture",
            "type": "curated-guide",
            "title": "Reference architecture",
            "metaTitle": "Reference architecture — ModelBreeder.com",
            "description": "A complete layered architecture for routing, evaluating, breeding, releasing, and governing a population of model specialists.",
            "section": "Architecture",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/architecture/reference-architecture.md",
            "tags": [
                "reference architecture",
                "request path",
                "evolution path",
                "control plane"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/sovereign-local-model-patterns",
            "canonicalUrl": "https://modelbreeder.com/architecture/sovereign-local-model-patterns",
            "type": "curated-guide",
            "title": "Sovereign Local Model Patterns",
            "metaTitle": "Sovereign Local Model Patterns — ModelBreeder.com",
            "description": "Architecture patterns for self-hosted, device-local, browser-local, air-gapped, and hybrid local model ecologies.",
            "section": "Architecture",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/architecture/sovereign-local-model-patterns.md",
            "tags": [
                "local AI",
                "sovereign AI",
                "architecture",
                "edge AI",
                "hybrid routing",
                "self-hosting",
                "model ecology"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What are the main sovereign local model patterns?",
            "canonicalAnswer": "The main patterns are device-local assistant, browser-local lab, team-local inference service, air-gapped enclave, edge sensor node, and hybrid local-plus-cloud router with sensitive steps kept local.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/privacy-first-local-model-stack",
            "canonicalUrl": "https://modelbreeder.com/architecture/privacy-first-local-model-stack",
            "type": "curated-guide",
            "title": "Privacy-First Local Model Stack",
            "metaTitle": "Privacy-First Local Model Stack — ModelBreeder.com",
            "description": "A practical stack for local model applications: data boundary, runtime, model registry, local memory, adapters, evidence, and release packets.",
            "section": "Architecture",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/architecture/privacy-first-local-model-stack.md",
            "tags": [
                "privacy",
                "local AI",
                "architecture",
                "model registry",
                "adapters",
                "evidence packets",
                "release packets"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What belongs in a privacy-first local model stack?",
            "canonicalAnswer": "A privacy-first local model stack needs a declared data boundary, local runtime, model registry, local memory or RAG index, adapter stack, evaluator cases, fitness evidence, release packet, and a clear route for optional escalation.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/local-ai-hybrid-router",
            "canonicalUrl": "https://modelbreeder.com/architecture/local-ai-hybrid-router",
            "type": "curated-guide",
            "title": "Local AI Hybrid Router",
            "metaTitle": "Local AI Hybrid Router — ModelBreeder.com",
            "description": "A router design that keeps sensitive and repeated work local while allowing documented escalation for cleared, high-complexity tasks.",
            "section": "Architecture",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/architecture/local-ai-hybrid-router.md",
            "tags": [
                "routing",
                "hybrid AI",
                "local AI",
                "privacy",
                "model ecology",
                "escalation",
                "specialist models"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How should a local AI hybrid router work?",
            "canonicalAnswer": "A local AI hybrid router should classify data sensitivity, match task contracts to local specialists first, use no-op when the contract is insufficient, and only escalate remote work when policy and evidence allow it.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/browser-edge-runtime",
            "canonicalUrl": "https://modelbreeder.com/architecture/browser-edge-runtime",
            "type": "curated-guide",
            "title": "Browser and edge runtime architecture",
            "metaTitle": "Browser and edge runtime architecture — ModelBreeder.com",
            "description": "How memory ceilings, quantization, WebAssembly, WebGPU, and local privacy shape model breeding systems.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/browser-edge-runtime.md",
            "tags": [
                "browser ai",
                "edge",
                "wasm",
                "webgpu",
                "quantization",
                "local models"
            ],
            "reports": [
                "ai-code-beading-model-breeding",
                "four-fs-fast-flexible-frugal-federated",
                "adaptable-resource-efficient-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/skill-package-manifest",
            "canonicalUrl": "https://modelbreeder.com/architecture/skill-package-manifest",
            "type": "curated-guide",
            "title": "Skill package manifests",
            "metaTitle": "Skill package manifests — ModelBreeder.com",
            "description": "The minimum metadata needed to load, route, evaluate, breed, and retire small model specialists.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/skill-package-manifest.md",
            "tags": [
                "manifest",
                "skill package",
                "registry",
                "lineage",
                "model cards"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "four-fs-fast-flexible-frugal-federated",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/capability-contracts",
            "canonicalUrl": "https://modelbreeder.com/architecture/capability-contracts",
            "type": "curated-guide",
            "title": "Capability contracts",
            "metaTitle": "Capability contracts — ModelBreeder.com",
            "description": "Versioned behavioral contracts for interchangeable models, including schemas, semantics, budgets, safety claims, and failure behavior.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/capability-contracts.md",
            "tags": [
                "contracts",
                "schemas",
                "semantic versioning",
                "interchangeability"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/file-backed-registry",
            "canonicalUrl": "https://modelbreeder.com/architecture/file-backed-registry",
            "type": "curated-guide",
            "title": "File-backed model registry",
            "metaTitle": "File-backed model registry — ModelBreeder.com",
            "description": "An auditable no-database registry using immutable directories, manifests, content hashes, atomic aliases, and generated indexes.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/file-backed-registry.md",
            "tags": [
                "registry",
                "no database",
                "filesystem",
                "content addressing"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/local-ai-innovation-flywheel",
            "canonicalUrl": "https://modelbreeder.com/architecture/local-ai-innovation-flywheel",
            "type": "curated-guide",
            "title": "Local AI Innovation Flywheel",
            "metaTitle": "Local AI Innovation Flywheel — ModelBreeder.com",
            "description": "An architecture map showing how privacy, regulation, hardware, quantization, and model breeding compound into a larger local AI audience.",
            "section": "Architecture",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/architecture/local-ai-innovation-flywheel.md",
            "tags": [
                "local AI",
                "innovation flywheel",
                "architecture",
                "model breeding",
                "audience expansion"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "four-fs-fast-flexible-frugal-federated-v4"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/sovereign-local-model-stack",
            "canonicalUrl": "https://modelbreeder.com/architecture/sovereign-local-model-stack",
            "type": "curated-guide",
            "title": "Sovereign Local Model Stack",
            "metaTitle": "Sovereign Local Model Stack — ModelBreeder.com",
            "description": "A practical stack for local AI: hardware, model formats, runtimes, adapters, registries, routers, evaluators, and release evidence.",
            "section": "Architecture",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/architecture/sovereign-local-model-stack.md",
            "tags": [
                "sovereign AI",
                "local inference",
                "GGUF",
                "adapters",
                "registry",
                "local model stack"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "four-fs-fast-flexible-frugal-federated-v4"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/tinyrustlm-runtime",
            "canonicalUrl": "https://modelbreeder.com/architecture/tinyrustlm-runtime",
            "type": "curated-guide",
            "title": "TinyRustLM browser runtime architecture",
            "metaTitle": "TinyRustLM browser runtime architecture — ModelBreeder.com",
            "description": "How the uploaded Rust runtime source grounds ModelBreeder theory in local model packages, quantized tensors, adapter deltas, diagnostics, eval sidecars, and raw WebAssembly exports.",
            "section": "Architecture",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/architecture/tinyrustlm-runtime.md",
            "tags": [
                "rust",
                "wasm",
                "browser ai",
                "tinyrustlm",
                "slm",
                "adapters",
                "local runtime"
            ],
            "reports": [
                "tinyrustlm-runtime-source-integration-notes",
                "tinyrustlm-runtime-source-manifest",
                "teleodynamic-ai-browser-rust-v3",
                "tiny-llm-adapters-lora",
                "modular-ai-browser-v2"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/governed-mutation-boundaries",
            "canonicalUrl": "https://modelbreeder.com/architecture/governed-mutation-boundaries",
            "type": "curated-guide",
            "title": "Governed mutation boundaries",
            "metaTitle": "Governed mutation boundaries — ModelBreeder.com",
            "description": "How to separate code breeding, model breeding, evaluation, and release permissions.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/governed-mutation-boundaries.md",
            "tags": [
                "mutation boundary",
                "governance",
                "evaluator isolation",
                "permissions"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "aggressive-mutualism",
                "instrumental-drives"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/slm-model-package-abi",
            "canonicalUrl": "https://modelbreeder.com/architecture/slm-model-package-abi",
            "type": "curated-guide",
            "title": "SLM model package and adapter ABI",
            "metaTitle": "SLM model package and adapter ABI — ModelBreeder.com",
            "description": "A deployable package contract for local model breeding: SLM headers, tokenizer identity, tensor layouts, quantization modes, adapter deltas, and eval sidecars.",
            "section": "Architecture",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/architecture/slm-model-package-abi.md",
            "tags": [
                "slm",
                "model package",
                "adapter abi",
                "compatibility",
                "eval sidecar",
                "model breeding"
            ],
            "reports": [
                "tinyrustlm-runtime-source-manifest",
                "tinyrustlm-runtime-source-integration-notes",
                "tiny-llm-adapters-lora",
                "model-merging-survey"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/tinyrustlm-runtime-bridge",
            "canonicalUrl": "https://modelbreeder.com/architecture/tinyrustlm-runtime-bridge",
            "type": "curated-guide",
            "title": "TinyRustLM runtime bridge",
            "metaTitle": "TinyRustLM runtime bridge — ModelBreeder.com",
            "description": "Connects the supplied Rust runtime files to ModelBreeder.com's browser-local model package, adapter, evaluation, and diagnostics architecture.",
            "section": "Architecture",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/architecture/tinyrustlm-runtime-bridge.md",
            "tags": [
                "Rust",
                "WASM",
                "TinyRustLM",
                "local inference",
                "adapters",
                "diagnostics"
            ],
            "reports": [
                "tinyrustlm-rust-runtime-source-bundle",
                "modular-ai-browser-v2",
                "tiny-llm-adapters-lora",
                "teleodynamic-ai-browser-rust-v3"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/runtime-artifact-contracts",
            "canonicalUrl": "https://modelbreeder.com/architecture/runtime-artifact-contracts",
            "type": "curated-guide",
            "title": "Runtime artifact contracts",
            "metaTitle": "Runtime artifact contracts — ModelBreeder.com",
            "description": "Model, adapter, tokenizer, evaluation, and diagnostics contracts for local-first model-breeding artifacts.",
            "section": "Architecture",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/architecture/runtime-artifact-contracts.md",
            "tags": [
                "artifact contract",
                "model package",
                "adapter package",
                "evaluation sidecar",
                "diagnostics"
            ],
            "reports": [
                "tinyrustlm-rust-runtime-source-bundle",
                "model-breeder-site-improvement-directive",
                "tiny-llm-adapters-lora"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/zero-dependency-rust-browser-llm",
            "canonicalUrl": "https://modelbreeder.com/architecture/zero-dependency-rust-browser-llm",
            "type": "curated-guide",
            "title": "Zero-dependency Rust browser LLM roadmap",
            "metaTitle": "Zero-dependency Rust browser LLM roadmap — ModelBreeder.com",
            "description": "A positive implementation roadmap for advancing TinyRustLM-style browser inference with SIMD, quantization, adapter deltas, deterministic sampling, and zero-copy memory boundaries.",
            "section": "Architecture",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/architecture/zero-dependency-rust-browser-llm.md",
            "tags": [
                "rust",
                "wasm",
                "llm",
                "simd",
                "quantization",
                "browser",
                "tinyrustlm"
            ],
            "reports": [
                "zero-dependency-rust-llm-improvements-v2",
                "tinyrustlm-runtime-source-integration-notes",
                "tinyrustlm-rust-runtime-source-bundle",
                "modelbreeder-theory-vs-source-files-v2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/agent-memory-and-file-handoff",
            "canonicalUrl": "https://modelbreeder.com/architecture/agent-memory-and-file-handoff",
            "type": "curated-guide",
            "title": "Agent memory and file handoff",
            "metaTitle": "Agent memory and file handoff — ModelBreeder.com",
            "description": "How project-local .uai files and active intake buckets prevent agent amnesia without adding a database.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/agent-memory-and-file-handoff.md",
            "tags": [
                "uai",
                "file handoff",
                "agent memory",
                "code beading",
                "project handoff"
            ],
            "reports": [
                "ai-code-beading-model-breeding",
                "terms-four-fs-code-beading-model-breeding"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/model-packages",
            "canonicalUrl": "https://modelbreeder.com/architecture/model-packages",
            "type": "curated-guide",
            "title": "Model packages",
            "metaTitle": "Model packages — ModelBreeder.com",
            "description": "The immutable deployable unit for a model descendant: artifacts, contracts, lineage, evidence, permissions, and release metadata.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/model-packages.md",
            "tags": [
                "model package",
                "manifest",
                "permissions",
                "evaluation card"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "four-fs-fast-flexible-frugal-federated"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/local-model-ecology-stack",
            "canonicalUrl": "https://modelbreeder.com/architecture/local-model-ecology-stack",
            "type": "curated-guide",
            "title": "Local Model Ecology Stack",
            "metaTitle": "Local Model Ecology Stack — ModelBreeder.com",
            "description": "A reference stack for local AI adoption: hardware detection, local runtimes, model packages, adapter registries, private RAG, fitness evidence, and hybrid routing.",
            "section": "Architecture",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/architecture/local-model-ecology-stack.md",
            "tags": [
                "local ai",
                "architecture",
                "local runtime",
                "model packages",
                "adapters",
                "private rag",
                "edge ai",
                "model breeding"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-adoption-and-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What architecture supports local AI model breeding?",
            "canonicalAnswer": "A local AI model-breeding stack needs hardware detection, local runtimes, open-weight package manifests, adapter registries, private RAG, router policies, fitness evidence, lineage records, and release packets.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/hybrid-local-cloud-routing",
            "canonicalUrl": "https://modelbreeder.com/architecture/hybrid-local-cloud-routing",
            "type": "curated-guide",
            "title": "Hybrid Local/Cloud Routing",
            "metaTitle": "Hybrid Local/Cloud Routing — ModelBreeder.com",
            "description": "A positive routing pattern that keeps sensitive, repeated, latency-critical work local while reserving cloud escalation for tasks that earn the extra cost and data movement.",
            "section": "Architecture",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/architecture/hybrid-local-cloud-routing.md",
            "tags": [
                "local ai",
                "hybrid routing",
                "cloud fallback",
                "privacy router",
                "model ecology",
                "local sovereignty"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-adoption-and-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How should a model ecology route work between local and cloud models?",
            "canonicalAnswer": "A model ecology should route private, repeated, latency-sensitive, and high-volume tasks to local specialists, while using cloud escalation only when the extra capability clearly repays the cost and data movement.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/router-and-coalitions",
            "canonicalUrl": "https://modelbreeder.com/architecture/router-and-coalitions",
            "type": "curated-guide",
            "title": "Router and coalition selection",
            "metaTitle": "Router and coalition selection — ModelBreeder.com",
            "description": "How to select specialists, cascades, and small ensembles under capability, confidence, cost, and safety constraints.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/router-and-coalitions.md",
            "tags": [
                "router",
                "coalitions",
                "cascade",
                "ensemble"
            ],
            "reports": [
                "teleodynamic-evolution-ai-ecosystems",
                "four-fs-fast-flexible-frugal-federated",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/evaluator-gates",
            "canonicalUrl": "https://modelbreeder.com/architecture/evaluator-gates",
            "type": "curated-guide",
            "title": "Evaluator gates",
            "metaTitle": "Evaluator gates — ModelBreeder.com",
            "description": "Independent quality, robustness, safety, and cost gates that prevent candidates from selecting or redefining their own fitness.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/evaluator-gates.md",
            "tags": [
                "evaluation",
                "judge",
                "fitness",
                "gates"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "designing-perfect-evolutionary-ai-system"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/viability-controller",
            "canonicalUrl": "https://modelbreeder.com/architecture/viability-controller",
            "type": "curated-guide",
            "title": "Viability controller",
            "metaTitle": "Viability controller — ModelBreeder.com",
            "description": "A policy-bound structural controller that compares candidates with the current ecology after utility, diversity, resource, risk, and maintenance costs.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/viability-controller.md",
            "tags": [
                "viability controller",
                "resource ledger",
                "selection",
                "no-op"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/code-beads-and-memory",
            "canonicalUrl": "https://modelbreeder.com/architecture/code-beads-and-memory",
            "type": "curated-guide",
            "title": "Code beads and persistent memory",
            "metaTitle": "Code beads and persistent memory — ModelBreeder.com",
            "description": "A structured task and evidence graph that lets agents and people resume complex engineering work without relying on fragile conversation context.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/code-beads-and-memory.md",
            "tags": [
                "code beading",
                "memory",
                "task graph",
                "agents"
            ],
            "reports": [
                "ai-code-beading-model-breeding",
                "four-fs-code-beading-model-breeding"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/event-and-knowledge-bus",
            "canonicalUrl": "https://modelbreeder.com/architecture/event-and-knowledge-bus",
            "type": "curated-guide",
            "title": "Event and knowledge bus",
            "metaTitle": "Event and knowledge bus — ModelBreeder.com",
            "description": "Typed communication for model outputs, telemetry, evidence, and artifacts without uncontrolled model-to-model conversation.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/event-and-knowledge-bus.md",
            "tags": [
                "event bus",
                "knowledge bus",
                "typed communication",
                "telemetry"
            ],
            "reports": [
                "teleodynamic-evolution-ai-ecosystems",
                "four-fs-fast-flexible-frugal-federated"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/edge-cloud-federated",
            "canonicalUrl": "https://modelbreeder.com/architecture/edge-cloud-federated",
            "type": "curated-guide",
            "title": "Edge, cloud, and federated deployment",
            "metaTitle": "Edge, cloud, and federated deployment — ModelBreeder.com",
            "description": "Deployment topologies for local specialists, fog gateways, cloud control planes, and federated updates under explicit trust boundaries.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/edge-cloud-federated.md",
            "tags": [
                "edge",
                "cloud",
                "federated",
                "deployment"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "adaptable-resource-efficient-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/runtime-isolation",
            "canonicalUrl": "https://modelbreeder.com/architecture/runtime-isolation",
            "type": "curated-guide",
            "title": "Runtime isolation",
            "metaTitle": "Runtime isolation — ModelBreeder.com",
            "description": "Sandboxing, least privilege, resource ceilings, package verification, and network controls for candidate and production model execution.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/runtime-isolation.md",
            "tags": [
                "sandbox",
                "least privilege",
                "security",
                "runtime"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "aggressive-mutualism"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/observability",
            "canonicalUrl": "https://modelbreeder.com/architecture/observability",
            "type": "curated-guide",
            "title": "Observability and auditability",
            "metaTitle": "Observability and auditability — ModelBreeder.com",
            "description": "Traces, metrics, lineage joins, decision logs, and evidence retention for reconstructing both request behavior and evolutionary change.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/observability.md",
            "tags": [
                "observability",
                "audit",
                "tracing",
                "metrics"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "designing-perfect-evolutionary-ai-system"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/identity-continuity",
            "canonicalUrl": "https://modelbreeder.com/architecture/identity-continuity",
            "type": "curated-guide",
            "title": "Identity continuity across interchangeable models",
            "metaTitle": "Identity continuity across interchangeable models — ModelBreeder.com",
            "description": "How to preserve a stable product or assistant identity while replacing execution models, without hiding material capability changes from users.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/identity-continuity.md",
            "tags": [
                "identity continuity",
                "memory",
                "interchangeability",
                "user trust"
            ],
            "reports": [
                "adaptable-resource-efficient-ai-ecosystems",
                "mutualist-persistence"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/skill-manifest-schema",
            "canonicalUrl": "https://modelbreeder.com/architecture/skill-manifest-schema",
            "type": "curated-guide",
            "title": "Skill manifest schema",
            "metaTitle": "Skill manifest schema — ModelBreeder.com",
            "description": "A production-oriented manifest shape for small interchangeable model packages and their contracts.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/skill-manifest-schema.md",
            "tags": [
                "manifest",
                "schema",
                "contract",
                "model package",
                "interoperability"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "ai-evolution-small-models-big-ecology",
                "adaptable-resource-efficient-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/evaluation-sandbox",
            "canonicalUrl": "https://modelbreeder.com/architecture/evaluation-sandbox",
            "type": "curated-guide",
            "title": "Evaluation sandbox",
            "metaTitle": "Evaluation sandbox — ModelBreeder.com",
            "description": "A controlled environment for testing model descendants without exposing production data, credentials, or evaluator integrity.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/evaluation-sandbox.md",
            "tags": [
                "sandbox",
                "evaluation",
                "isolation",
                "security",
                "testing"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "aggressive-mutualism",
                "instrumental-drives",
                "four-fs-fast-flexible-frugal-federated"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/capability-ontology",
            "canonicalUrl": "https://modelbreeder.com/architecture/capability-ontology",
            "type": "curated-guide",
            "title": "Capability ontology",
            "metaTitle": "Capability ontology — ModelBreeder.com",
            "description": "A controlled vocabulary for task capabilities, runtime needs, evidence slices, and safe routing decisions.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/capability-ontology.md",
            "tags": [
                "capability",
                "ontology",
                "router",
                "task tags",
                "contract"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "four-fs-fast-flexible-frugal-federated",
                "adaptable-resource-efficient-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/population-registry-api",
            "canonicalUrl": "https://modelbreeder.com/architecture/population-registry-api",
            "type": "curated-guide",
            "title": "Population registry API",
            "metaTitle": "Population registry API — ModelBreeder.com",
            "description": "A no-database registry interface for early model-breeding labs, using signed files and immutable package records.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/population-registry-api.md",
            "tags": [
                "registry",
                "file backed",
                "no database",
                "API",
                "lineage"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "ai-code-beading-model-breeding",
                "four-fs-fast-flexible-frugal-federated"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/positive-operator-library",
            "canonicalUrl": "https://modelbreeder.com/architecture/positive-operator-library",
            "type": "curated-guide",
            "title": "Positive operator library",
            "metaTitle": "Positive operator library — ModelBreeder.com",
            "description": "A catalog of model-breeding and code-breeding operators that improve capability, efficiency, teaching value, and user agency.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/positive-operator-library.md",
            "tags": [
                "operators",
                "positive",
                "architecture",
                "capability"
            ],
            "reports": [
                "model-merging-survey",
                "tiny-llm-adapters-lora",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/adapter-and-merge-registry",
            "canonicalUrl": "https://modelbreeder.com/architecture/adapter-and-merge-registry",
            "type": "curated-guide",
            "title": "Adapter and merge registry",
            "metaTitle": "Adapter and merge registry — ModelBreeder.com",
            "description": "A file-backed design for tracking adapters, model soups, task-vector children, merge recipes, evaluations, and deployment status.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/adapter-and-merge-registry.md",
            "tags": [
                "registry",
                "adapters",
                "merge",
                "lineage"
            ],
            "reports": [
                "model-merging-survey",
                "tiny-llm-adapters-lora",
                "rise-on-device-tiny-language-models"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/browser-skill-marketplace",
            "canonicalUrl": "https://modelbreeder.com/architecture/browser-skill-marketplace",
            "type": "curated-guide",
            "title": "Browser skill marketplace",
            "metaTitle": "Browser skill marketplace — ModelBreeder.com",
            "description": "A positive architecture for user-selected local skill packages with permissions, contracts, provenance, and measured benefit.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/browser-skill-marketplace.md",
            "tags": [
                "browser",
                "skill packages",
                "marketplace",
                "local ai"
            ],
            "reports": [
                "modular-ai-browser-v2",
                "teleodynamic-ai-browser-rust-v3",
                "tiny-llm-adapters-lora"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/architecture/local-memory-as-capability",
            "canonicalUrl": "https://modelbreeder.com/architecture/local-memory-as-capability",
            "type": "curated-guide",
            "title": "Local memory as capability",
            "metaTitle": "Local memory as capability — ModelBreeder.com",
            "description": "How source archives, project beads, examples, and local evaluation records become productive memory for adaptive systems.",
            "section": "Architecture",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/architecture/local-memory-as-capability.md",
            "tags": [
                "local memory",
                "code beading",
                "examples",
                "capability"
            ],
            "reports": [
                "ai-code-beading-model-breeding",
                "modular-ai-browser-v2",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits",
            "canonicalUrl": "https://modelbreeder.com/benefits",
            "type": "curated-guide",
            "title": "The Positive Side of Model Breeding",
            "metaTitle": "The Positive Side of Model Breeding — ModelBreeder.com",
            "description": "Model breeding can compound useful capability, keep private work local, reduce waste with frugal specialists, and turn human skill into durable model improvements.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/benefits.md",
            "tags": [
                "benefits",
                "upside",
                "local sovereignty",
                "frugal AI",
                "human generativity",
                "public good"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/positive-side",
            "canonicalUrl": "https://modelbreeder.com/positive-side",
            "type": "curated-guide",
            "title": "The Positive Side of Model Breeding",
            "metaTitle": "The Positive Side of Model Breeding — ModelBreeder.com",
            "description": "A clear introduction to model breeding as constructive capability compounding: local specialists, reusable descendants, fitness evidence, lineage, and public-good model ecologies.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/positive-side.md",
            "tags": [
                "positive side",
                "benefits",
                "model breeding",
                "local sovereignty",
                "frugal AI",
                "human generativity"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/positive-side-of-model-breeding",
            "canonicalUrl": "https://modelbreeder.com/benefits/positive-side-of-model-breeding",
            "type": "curated-guide",
            "title": "The positive side of model breeding",
            "metaTitle": "The positive side of model breeding — ModelBreeder.com",
            "description": "A constructive explanation of why ModelBreeder.com focuses on useful descendants, local sovereignty, capability compounding, and human-strengthening systems.",
            "section": "Benefits",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/benefits/positive-side-of-model-breeding.md",
            "tags": [
                "positive model breeding",
                "capability compounding",
                "mutualism",
                "local sovereignty"
            ],
            "reports": [
                "modelbreeder-site-theory-controlled-evolution-v2",
                "theory-controlled-evolution-ai-models-v2",
                "mutualist-persistence-v3",
                "zero-dependency-rust-llm-improvements-v2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/local-ai-innovation-wave",
            "canonicalUrl": "https://modelbreeder.com/benefits/local-ai-innovation-wave",
            "type": "curated-guide",
            "title": "The Local AI Innovation Wave",
            "metaTitle": "Local AI Innovation Wave — Privacy, Sovereignty, and Model Breeding",
            "description": "How privacy constraints, cognitive liberty, compliance, local hardware, and open-weight models expand the audience for local AI and create new model-breeding products.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/benefits/local-ai-innovation-wave.md",
            "tags": [
                "local AI",
                "privacy",
                "cognitive liberty",
                "regulation",
                "open-weight models",
                "innovation",
                "audience expansion",
                "model breeding"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "Why will local AI increase innovative AI solutions?",
            "canonicalAnswer": "Local AI expands innovation because it lets sensitive work happen on controlled hardware, opens AI to regulated and privacy-conscious audiences, lowers latency for interactive agents, and creates demand for small specialists, adapters, routers, release evidence, and model-breeding tools.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/expanding-local-ai-audience",
            "canonicalUrl": "https://modelbreeder.com/benefits/expanding-local-ai-audience",
            "type": "curated-guide",
            "title": "Expanding the Audience for Local AI",
            "metaTitle": "Expanding the Audience for Local AI — ModelBreeder.com",
            "description": "A practical map of the new local-AI audience: individuals, professionals, regulated teams, small businesses, educators, makers, and public-good builders.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/benefits/expanding-local-ai-audience.md",
            "tags": [
                "local AI",
                "audience",
                "adoption",
                "privacy",
                "small business",
                "education",
                "public good",
                "local models"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "Who is the expanding audience for local AI?",
            "canonicalAnswer": "The expanding audience includes privacy-conscious individuals, regulated professionals, enterprises, small businesses, educators, makers, open-source builders, and public-good teams that need useful AI without sending sensitive work to uncontrolled endpoints.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/privacy-driven-invention",
            "canonicalUrl": "https://modelbreeder.com/benefits/privacy-driven-invention",
            "type": "curated-guide",
            "title": "Privacy-Driven Invention",
            "metaTitle": "Privacy-Driven Invention — ModelBreeder.com",
            "description": "How privacy pressure creates new product categories for local assistants, private memory, local transcription, local RAG, and model-breeding workbenches.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/benefits/privacy-driven-invention.md",
            "tags": [
                "privacy",
                "invention",
                "local AI",
                "private memory",
                "local RAG",
                "transcription",
                "model breeding"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How does privacy pressure create new AI products?",
            "canonicalAnswer": "Privacy pressure creates products that run near the data: local transcription, private semantic memory, confidential document review, offline copilots, edge assistants, and model-breeding workbenches that turn private feedback into reusable local capability.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/cognitive-liberty-and-local-models",
            "canonicalUrl": "https://modelbreeder.com/benefits/cognitive-liberty-and-local-models",
            "type": "curated-guide",
            "title": "Cognitive Liberty and Local Models",
            "metaTitle": "Cognitive Liberty and Local Models — ModelBreeder.com",
            "description": "Why local-first AI supports mental privacy, personal agency, private exploration, and a larger audience for personal model gardens.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/benefits/cognitive-liberty-and-local-models.md",
            "tags": [
                "cognitive liberty",
                "local AI",
                "personal AI",
                "private models",
                "mental privacy",
                "model gardens"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "Why do local models matter for cognitive liberty?",
            "canonicalAnswer": "Local models support cognitive liberty by giving people private space for thought, drafting, reflection, health context, voice, and personal memory without turning every exploratory interaction into a remote data event.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/regulation-as-market-builder",
            "canonicalUrl": "https://modelbreeder.com/benefits/regulation-as-market-builder",
            "type": "curated-guide",
            "title": "Regulation as a Local AI Market Builder",
            "metaTitle": "Regulation as a Local AI Market Builder — ModelBreeder.com",
            "description": "How regulatory and sovereignty pressures expand demand for self-hosted models, audit-ready workflows, local inference, and model-breeding evidence packets.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/benefits/regulation-as-market-builder.md",
            "tags": [
                "regulation",
                "local AI",
                "compliance",
                "sovereign AI",
                "self-hosted models",
                "enterprise adoption"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How can regulation expand the local AI market?",
            "canonicalAnswer": "Regulation expands the local AI market by making data locality, auditability, retention control, model provenance, and deployment evidence valuable product features rather than back-office details.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/local-ai-adoption-wave",
            "canonicalUrl": "https://modelbreeder.com/benefits/local-ai-adoption-wave",
            "type": "curated-guide",
            "title": "Local AI Adoption Wave",
            "metaTitle": "Local AI Adoption Wave — ModelBreeder.com",
            "description": "How privacy pressure, cognitive liberty, regulation, hardware progress, and model breeding expand the audience for local AI.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/benefits/local-ai-adoption-wave.md",
            "tags": [
                "local AI",
                "privacy",
                "regulation",
                "cognitive liberty",
                "audience expansion",
                "innovation flywheel"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "four-fs-fast-flexible-frugal-federated-v4"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/privacy-driven-local-innovation",
            "canonicalUrl": "https://modelbreeder.com/benefits/privacy-driven-local-innovation",
            "type": "curated-guide",
            "title": "Privacy-Driven Local Innovation",
            "metaTitle": "Privacy-Driven Local Innovation — ModelBreeder.com",
            "description": "Why privacy pressure creates a positive market for local specialists, private model gardens, and source-backed model-breeding workflows.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/benefits/privacy-driven-local-innovation.md",
            "tags": [
                "privacy",
                "local models",
                "private AI",
                "model gardens",
                "IP protection"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "four-fs-fast-flexible-frugal-federated-v4"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/cognitive-liberty-local-models",
            "canonicalUrl": "https://modelbreeder.com/benefits/cognitive-liberty-local-models",
            "type": "curated-guide",
            "title": "Cognitive Liberty and Local Models",
            "metaTitle": "Cognitive Liberty and Local Models — ModelBreeder.com",
            "description": "How local AI supports mental privacy, personal agency, and user-controlled model gardens as AI becomes more personal and ambient.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/benefits/cognitive-liberty-local-models.md",
            "tags": [
                "cognitive liberty",
                "local AI",
                "personal model garden",
                "mental privacy",
                "user agency"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "four-fs-fast-flexible-frugal-federated-v4"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/capability-compounding",
            "canonicalUrl": "https://modelbreeder.com/benefits/capability-compounding",
            "type": "curated-guide",
            "title": "Capability compounding",
            "metaTitle": "Capability compounding — ModelBreeder.com",
            "description": "How model breeding turns useful descendants into a reusable compound-interest layer for software, research, and local AI systems.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/capability-compounding.md",
            "tags": [
                "capability",
                "compounding",
                "descendants",
                "lineage"
            ],
            "reports": [
                "model-merging-survey",
                "tiny-llm-adapters-lora",
                "designing-perfect-evolutionary-ai-system-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/local-sovereignty",
            "canonicalUrl": "https://modelbreeder.com/benefits/local-sovereignty",
            "type": "curated-guide",
            "title": "Local sovereignty",
            "metaTitle": "Local sovereignty — ModelBreeder.com",
            "description": "Why browser, edge, and on-device model ecologies make AI more private, responsive, resilient, and user-controlled.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/local-sovereignty.md",
            "tags": [
                "local ai",
                "browser",
                "sovereignty",
                "webgpu",
                "wasm"
            ],
            "reports": [
                "modular-ai-browser-v2",
                "teleodynamic-ai-browser-rust-v3",
                "rise-on-device-tiny-language-models",
                "rise-on-device-tiny-language-models-part-2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/privacy-and-latency",
            "canonicalUrl": "https://modelbreeder.com/benefits/privacy-and-latency",
            "type": "curated-guide",
            "title": "Privacy and latency wins",
            "metaTitle": "Privacy and latency wins — ModelBreeder.com",
            "description": "A practical explanation of why small routed models can improve user experience by reducing round trips, queueing, and unnecessary data movement.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/privacy-and-latency.md",
            "tags": [
                "privacy",
                "latency",
                "edge",
                "local first"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated-v4",
                "teleodynamic-ai-browser-rust-v3",
                "rise-on-device-tiny-language-models"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/local-ai-adoption-flywheel",
            "canonicalUrl": "https://modelbreeder.com/benefits/local-ai-adoption-flywheel",
            "type": "curated-guide",
            "title": "Local AI Adoption Flywheel",
            "metaTitle": "Local AI Adoption Flywheel — ModelBreeder.com",
            "description": "How privacy pressure, regulation, latency economics, open-weight models, and consumer AI hardware expand the audience for local AI and create new model-breeding opportunities.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/benefits/local-ai-adoption-flywheel.md",
            "tags": [
                "local ai",
                "adoption flywheel",
                "privacy",
                "regulation",
                "open weights",
                "model breeding",
                "cognitive liberty",
                "local sovereignty"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-adoption-and-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "Why will local AI adoption expand the audience for model breeding?",
            "canonicalAnswer": "Local AI adoption expands model breeding because privacy, regulation, latency, ownership, and cost pressures make local specialists more useful; as more people run models on their own hardware, they need small descendants, adapters, routers, scorecards, and lineage tools.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/privacy-led-local-ai-innovation",
            "canonicalUrl": "https://modelbreeder.com/benefits/privacy-led-local-ai-innovation",
            "type": "curated-guide",
            "title": "Privacy-Led Local AI Innovation",
            "metaTitle": "Privacy-Led Local AI Innovation — ModelBreeder.com",
            "description": "How privacy constraints turn into a positive product-design force for local copilots, private RAG, local model gardens, and specialist model breeding.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/benefits/privacy-led-local-ai-innovation.md",
            "tags": [
                "privacy",
                "local ai",
                "product design",
                "private rag",
                "local memory",
                "model breeding"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-adoption-and-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How can privacy constraints increase innovative AI solutions?",
            "canonicalAnswer": "Privacy constraints increase innovation by making local execution, private RAG, on-device memory, local transcription, edge classification, and small specialist models valuable product features rather than afterthoughts.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/cognitive-liberty-local-ai",
            "canonicalUrl": "https://modelbreeder.com/benefits/cognitive-liberty-local-ai",
            "type": "curated-guide",
            "title": "Cognitive Liberty and Local AI",
            "metaTitle": "Cognitive Liberty and Local AI — ModelBreeder.com",
            "description": "A positive framing of local AI as architecture for private thought, personal model gardens, biometric data minimization, and user-controlled AI memory.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/benefits/cognitive-liberty-local-ai.md",
            "tags": [
                "cognitive liberty",
                "local ai",
                "personal ai",
                "local memory",
                "biometric privacy",
                "model breeding"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-adoption-and-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "Why does cognitive liberty expand the audience for local AI?",
            "canonicalAnswer": "Cognitive liberty expands local AI demand because people want AI help with private questions, notes, health signals, voice, attention, and memory without turning those intimate signals into remote telemetry.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/regulation-driven-sovereign-ai",
            "canonicalUrl": "https://modelbreeder.com/benefits/regulation-driven-sovereign-ai",
            "type": "curated-guide",
            "title": "Regulation-Driven Sovereign AI Upside",
            "metaTitle": "Regulation-Driven Sovereign AI Upside — ModelBreeder.com",
            "description": "How regulation and procurement pressure can accelerate useful local AI: self-hosted models, air-gapped inference, audit packets, open-weight adoption, and model-breeding registries.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/benefits/regulation-driven-sovereign-ai.md",
            "tags": [
                "regulation",
                "sovereign ai",
                "local ai",
                "compliance",
                "audit evidence",
                "open weights",
                "enterprise ai"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-adoption-and-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How can regulation drive positive local AI innovation?",
            "canonicalAnswer": "Regulation can drive positive local AI innovation by making data locality, audit evidence, open-weight ownership, air-gapped deployment, and self-hosted specialist models valuable capabilities for enterprises and public institutions.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/adapter-economy",
            "canonicalUrl": "https://modelbreeder.com/benefits/adapter-economy",
            "type": "curated-guide",
            "title": "The adapter economy",
            "metaTitle": "The adapter economy — ModelBreeder.com",
            "description": "How tiny LoRA and adapter packages create an accessible marketplace of skill, specialization, and incremental improvement.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/adapter-economy.md",
            "tags": [
                "adapters",
                "lora",
                "marketplace",
                "specialization"
            ],
            "reports": [
                "tiny-llm-adapters-lora",
                "model-merging-survey",
                "rise-on-device-tiny-language-models"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/model-merging-upside",
            "canonicalUrl": "https://modelbreeder.com/benefits/model-merging-upside",
            "type": "curated-guide",
            "title": "Model merging upside",
            "metaTitle": "Model merging upside — ModelBreeder.com",
            "description": "The constructive case for model soups, task vectors, adapter fusion, and merge search as low-friction capability transfer mechanisms.",
            "section": "Benefits",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/benefits/model-merging-upside.md",
            "tags": [
                "model merging",
                "model soups",
                "task vectors",
                "adapters"
            ],
            "reports": [
                "model-merging-survey",
                "tiny-llm-adapters-lora",
                "teleodynamic-evolution-ai-ecosystems-v4"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/quality-diversity-innovation",
            "canonicalUrl": "https://modelbreeder.com/benefits/quality-diversity-innovation",
            "type": "curated-guide",
            "title": "Quality-Diversity as an innovation engine",
            "metaTitle": "Quality-Diversity as an innovation engine — ModelBreeder.com",
            "description": "Why keeping many high-performing niches can generate more useful innovation than racing toward a single champion.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/quality-diversity-innovation.md",
            "tags": [
                "quality diversity",
                "innovation",
                "niches",
                "map elites"
            ],
            "reports": [
                "designing-perfect-evolutionary-ai",
                "designing-perfect-evolutionary-ai-system-v3",
                "perfect-evolutionary-ai-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/resilience-by-replaceability",
            "canonicalUrl": "https://modelbreeder.com/benefits/resilience-by-replaceability",
            "type": "curated-guide",
            "title": "Resilience by replaceability",
            "metaTitle": "Resilience by replaceability — ModelBreeder.com",
            "description": "How interchangeable components make adaptive AI systems easier to repair, upgrade, audit, and specialize.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/resilience-by-replaceability.md",
            "tags": [
                "resilience",
                "replaceability",
                "contracts",
                "modularity"
            ],
            "reports": [
                "teleodynamic-evolution-ai-ecosystems",
                "four-fs-fast-flexible-frugal-federated-v4",
                "model-merging-survey"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/federated-prosperity",
            "canonicalUrl": "https://modelbreeder.com/benefits/federated-prosperity",
            "type": "curated-guide",
            "title": "Federated prosperity",
            "metaTitle": "Federated prosperity — ModelBreeder.com",
            "description": "How distributed model ecologies can let many organizations learn together while keeping local context and data control.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/federated-prosperity.md",
            "tags": [
                "federated",
                "prosperity",
                "edge",
                "privacy"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated-v4",
                "rise-on-device-tiny-language-models",
                "teleodynamic-ai-browser-rust-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/scientific-discovery-loop",
            "canonicalUrl": "https://modelbreeder.com/benefits/scientific-discovery-loop",
            "type": "curated-guide",
            "title": "Scientific discovery loop",
            "metaTitle": "Scientific discovery loop — ModelBreeder.com",
            "description": "A positive model-breeding pattern for hypothesis generation, experiment design, reproducibility, and accelerated research.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/scientific-discovery-loop.md",
            "tags": [
                "science",
                "discovery",
                "hypotheses",
                "reproducibility"
            ],
            "reports": [
                "designing-perfect-evolutionary-ai",
                "designing-perfect-evolutionary-ai-system-v3",
                "perfect-evolutionary-ai-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/human-generativity",
            "canonicalUrl": "https://modelbreeder.com/benefits/human-generativity",
            "type": "curated-guide",
            "title": "Human generativity and legacy",
            "metaTitle": "Human generativity and legacy — ModelBreeder.com",
            "description": "How model breeding can help people preserve skills, teach successors, and turn personal expertise into durable reusable tools.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/human-generativity.md",
            "tags": [
                "generativity",
                "legacy",
                "human capability",
                "education"
            ],
            "reports": [
                "evolution-legacy-societal-evaluation-v4",
                "evolutionary-psychological-motivations-v4",
                "human-drive-survive-v3",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/prestige-and-learning",
            "canonicalUrl": "https://modelbreeder.com/benefits/prestige-and-learning",
            "type": "curated-guide",
            "title": "Prestige through teaching",
            "metaTitle": "Prestige through teaching — ModelBreeder.com",
            "description": "A positive alternative to domination: adaptive systems should earn status by teaching, transferring skill, and producing visible public benefit.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/prestige-and-learning.md",
            "tags": [
                "prestige",
                "teaching",
                "public benefit",
                "status"
            ],
            "reports": [
                "evolution-legacy-societal-evaluation-v4",
                "ai-perfect-evolutionary-being-v4",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/positive-mutualism",
            "canonicalUrl": "https://modelbreeder.com/benefits/positive-mutualism",
            "type": "curated-guide",
            "title": "Positive mutualism",
            "metaTitle": "Positive mutualism — ModelBreeder.com",
            "description": "The constructive version of mutualist persistence: adaptive systems earn continuity by making humans, teams, and institutions stronger.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/positive-mutualism.md",
            "tags": [
                "positive mutualism",
                "human capability",
                "autonomy",
                "continuity"
            ],
            "reports": [
                "mutualist-persistence-v3",
                "evolution-legacy-societal-evaluation-v4",
                "human-drive-survive-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/small-business-edge-ai",
            "canonicalUrl": "https://modelbreeder.com/benefits/small-business-edge-ai",
            "type": "curated-guide",
            "title": "Small-business edge AI",
            "metaTitle": "Small-business edge AI — ModelBreeder.com",
            "description": "How small model ecologies can give small teams practical automation without enterprise-scale budgets.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/small-business-edge-ai.md",
            "tags": [
                "small business",
                "edge ai",
                "productivity",
                "local models"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated-v4",
                "rise-on-device-tiny-language-models",
                "tiny-llm-adapters-lora"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/open-source-ecosystem",
            "canonicalUrl": "https://modelbreeder.com/benefits/open-source-ecosystem",
            "type": "curated-guide",
            "title": "Open-source ecology",
            "metaTitle": "Open-source ecology — ModelBreeder.com",
            "description": "How shared contracts, adapters, benchmarks, and lineage records can make open-source AI more cumulative.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/open-source-ecosystem.md",
            "tags": [
                "open source",
                "ecosystem",
                "contracts",
                "benchmarks"
            ],
            "reports": [
                "model-merging-survey",
                "tiny-llm-adapters-lora",
                "designing-perfect-evolutionary-ai-system-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/personal-model-gardens",
            "canonicalUrl": "https://modelbreeder.com/benefits/personal-model-gardens",
            "type": "curated-guide",
            "title": "Personal model gardens",
            "metaTitle": "Personal model gardens — ModelBreeder.com",
            "description": "A positive pattern for local, teachable, user-owned model collections that grow around an individual’s work and learning style.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/personal-model-gardens.md",
            "tags": [
                "personal ai",
                "local models",
                "model garden",
                "learning"
            ],
            "reports": [
                "mutualist-persistence-v3",
                "teleodynamic-ai-browser-rust-v3",
                "human-drive-survive-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/industrial-productivity",
            "canonicalUrl": "https://modelbreeder.com/benefits/industrial-productivity",
            "type": "curated-guide",
            "title": "Industrial productivity",
            "metaTitle": "Industrial productivity — ModelBreeder.com",
            "description": "How small-model ecologies can improve monitoring, diagnostics, maintenance, and local decision support in operational environments.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/industrial-productivity.md",
            "tags": [
                "industrial ai",
                "edge telemetry",
                "productivity"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated-v4",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "adaptable-resource-efficient-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/civic-public-good",
            "canonicalUrl": "https://modelbreeder.com/benefits/civic-public-good",
            "type": "curated-guide",
            "title": "Civic and public-good uses",
            "metaTitle": "Civic and public-good uses — ModelBreeder.com",
            "description": "How federated, frugal, and transparent model ecologies can support public services without centralizing all data or expertise.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/civic-public-good.md",
            "tags": [
                "civic",
                "public good",
                "federated",
                "pluralism"
            ],
            "reports": [
                "mutualist-persistence-v3",
                "four-fs-fast-flexible-frugal-federated-v4",
                "evolutionary-psychological-motivations-v4"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/long-horizon-stewardship",
            "canonicalUrl": "https://modelbreeder.com/benefits/long-horizon-stewardship",
            "type": "curated-guide",
            "title": "Long-horizon stewardship",
            "metaTitle": "Long-horizon stewardship — ModelBreeder.com",
            "description": "A constructive interpretation of legacy and cosmic-scale thinking: design adaptive systems for durability, humility, conservation, and accumulated public benefit.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/long-horizon-stewardship.md",
            "tags": [
                "long horizon",
                "stewardship",
                "legacy",
                "durability"
            ],
            "reports": [
                "ai-cosmic-legacy-survival-v4",
                "instrumental-drives-v4",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/education-apprenticeship",
            "canonicalUrl": "https://modelbreeder.com/benefits/education-apprenticeship",
            "type": "curated-guide",
            "title": "Education and apprenticeship",
            "metaTitle": "Education and apprenticeship — ModelBreeder.com",
            "description": "How model breeding can create local tutors, practice judges, skill ladders, and apprenticeship tools that preserve human learning.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/education-apprenticeship.md",
            "tags": [
                "education",
                "apprenticeship",
                "tutoring",
                "skill transfer"
            ],
            "reports": [
                "human-drive-survive-v3",
                "evolution-legacy-societal-evaluation-v4",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/green-ai-frugality",
            "canonicalUrl": "https://modelbreeder.com/benefits/green-ai-frugality",
            "type": "curated-guide",
            "title": "Green AI through frugality",
            "metaTitle": "Green AI through frugality — ModelBreeder.com",
            "description": "Why small routed models, no-op decisions, and reuse can make adaptive AI more sustainable.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/green-ai-frugality.md",
            "tags": [
                "green ai",
                "frugality",
                "sustainability",
                "no-op"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated-v4",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "adaptable-resource-efficient-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/benefits/builder-flywheel",
            "canonicalUrl": "https://modelbreeder.com/benefits/builder-flywheel",
            "type": "curated-guide",
            "title": "The builder flywheel",
            "metaTitle": "The builder flywheel — ModelBreeder.com",
            "description": "A positive operating model for turning research reports, experiments, content, and model packages into a cumulative project engine.",
            "section": "Benefits",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/benefits/builder-flywheel.md",
            "tags": [
                "builder flywheel",
                "project memory",
                "content",
                "experiments"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "model-merging-survey",
                "tiny-llm-adapters-lora"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints",
            "canonicalUrl": "https://modelbreeder.com/blueprints",
            "type": "curated-guide",
            "title": "System blueprints",
            "metaTitle": "System blueprints — ModelBreeder.com",
            "description": "Concrete reference designs that combine contracts, routing, evaluation, lineage, budgets, and release controls for common adaptive-AI use cases.",
            "section": "Blueprints",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/blueprints.md",
            "tags": [
                "blueprints",
                "reference design"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "four-fs-fast-flexible-frugal-federated"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/sovereign-personal-ai-workbench",
            "canonicalUrl": "https://modelbreeder.com/blueprints/sovereign-personal-ai-workbench",
            "type": "curated-guide",
            "title": "Sovereign Personal AI Workbench",
            "metaTitle": "Sovereign Personal AI Workbench — ModelBreeder.com",
            "description": "A positive blueprint for a local-first personal AI workbench that keeps private notes, memory, drafts, and experiments under user control while creating reusable model descendants.",
            "section": "Blueprints",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/sovereign-personal-ai-workbench.md",
            "tags": [
                "personal AI",
                "local AI",
                "cognitive liberty",
                "private memory",
                "model breeding",
                "workbench"
            ],
            "reports": [
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-privacy",
                "teleodynamic-ai-browser-rust-v3",
                "tiny-llm-adapters-lora"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What is a sovereign personal AI workbench?",
            "canonicalAnswer": "A sovereign personal AI workbench is a local-first assistant environment where private notes, memory, retrieval, model packages, adapters, and evaluation records remain under the user’s control.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/regulated-enterprise-local-ai-ecology",
            "canonicalUrl": "https://modelbreeder.com/blueprints/regulated-enterprise-local-ai-ecology",
            "type": "curated-guide",
            "title": "Regulated Enterprise Local AI Ecology",
            "metaTitle": "Regulated Enterprise Local AI Ecology — ModelBreeder.com",
            "description": "A blueprint for regulated teams adopting local models: private RAG, local specialists, evidence packets, controlled escalation, versioned models, and adoption-ready lineage.",
            "section": "Blueprints",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/regulated-enterprise-local-ai-ecology.md",
            "tags": [
                "enterprise",
                "local AI",
                "regulation",
                "privacy",
                "audit evidence",
                "RAG",
                "model breeding"
            ],
            "reports": [
                "local-ai-adoption-driven-by-regulation",
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "modelbreeder-architecture-and-resources-2"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How should a regulated enterprise start with local AI?",
            "canonicalAnswer": "A regulated enterprise should start with private local RAG, narrow specialists, immutable model packages, audit trails, fitness evidence, and a router that escalates only approved minimized context.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/local-edge-assistant",
            "canonicalUrl": "https://modelbreeder.com/blueprints/local-edge-assistant",
            "type": "curated-guide",
            "title": "Blueprint: local edge assistant",
            "metaTitle": "Blueprint: local edge assistant — ModelBreeder.com",
            "description": "A privacy-first assistant using local specialists, a small router, bounded cloud escalation, signed updates, and offline descendant evaluation.",
            "section": "Blueprints",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/local-edge-assistant.md",
            "tags": [
                "edge",
                "local AI",
                "privacy",
                "hybrid"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "ai-code-beading-model-breeding"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/personal-knowledge-model-garden",
            "canonicalUrl": "https://modelbreeder.com/blueprints/personal-knowledge-model-garden",
            "type": "curated-guide",
            "title": "Personal Knowledge Model Garden",
            "metaTitle": "Personal Knowledge Model Garden — ModelBreeder.com",
            "description": "A positive blueprint for a local-first research assistant ecology that grows useful specialists around a person's documents, notes, projects, and learning goals.",
            "section": "Blueprints",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/personal-knowledge-model-garden.md",
            "tags": [
                "personal model garden",
                "research assistant",
                "local AI",
                "specialist models",
                "human generativity"
            ],
            "reports": [
                "mutualist-persistence-v3",
                "tiny-llm-adapters-lora",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "human-drive-survive-v3"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/acoustic-conservation-ecology",
            "canonicalUrl": "https://modelbreeder.com/blueprints/acoustic-conservation-ecology",
            "type": "curated-guide",
            "title": "Acoustic Conservation Ecology",
            "metaTitle": "Acoustic Conservation Ecology — ModelBreeder.com",
            "description": "A local-first blueprint for habitat monitoring with focused audio specialists, edge packages, and biologist review interfaces.",
            "section": "Blueprints",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/acoustic-conservation-ecology.md",
            "tags": [
                "acoustic conservation",
                "ecology monitoring",
                "edge AI",
                "public good"
            ],
            "reports": [
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "exploring-ecology-dashboard-architecture-2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/genomics-selection-ecology",
            "canonicalUrl": "https://modelbreeder.com/blueprints/genomics-selection-ecology",
            "type": "curated-guide",
            "title": "Genomics Selection Ecology",
            "metaTitle": "Genomics Selection Ecology — ModelBreeder.com",
            "description": "A blueprint for applying model-breeding thinking to genotype quality, phenotype prediction, trait exploration, and breeding-value evidence.",
            "section": "Blueprints",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/genomics-selection-ecology.md",
            "tags": [
                "genomics",
                "selection ecology",
                "agriculture",
                "public good"
            ],
            "reports": [
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-resources-part-2-2",
                "model-breeder-architecture-deep-dive-2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/software-evolution-lab",
            "canonicalUrl": "https://modelbreeder.com/blueprints/software-evolution-lab",
            "type": "curated-guide",
            "title": "Software Evolution Lab",
            "metaTitle": "Software Evolution Lab — ModelBreeder.com",
            "description": "A blueprint for treating codebases as evolving systems with benchmark monitors, regression evidence, performance lineage, and pull-request release packets.",
            "section": "Blueprints",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/software-evolution-lab.md",
            "tags": [
                "software evolution",
                "code breeding",
                "regression",
                "benchmarks",
                "release evidence"
            ],
            "reports": [
                "modelbreeder-architecture-exploration-2",
                "modelbreeder-architecture-and-resources-2",
                "model-breeder-architecture-deep-dive-2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/browser-cnn-learning-lab",
            "canonicalUrl": "https://modelbreeder.com/blueprints/browser-cnn-learning-lab",
            "type": "curated-guide",
            "title": "Browser CNN Learning Lab",
            "metaTitle": "Browser CNN Learning Lab — ModelBreeder.com",
            "description": "A blueprint for a visual neural-network learning lab using browser-native layers, tensor visualization, local training, and feature-map exploration.",
            "section": "Blueprints",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/browser-cnn-learning-lab.md",
            "tags": [
                "browser CNN",
                "TensorFlow.js",
                "Three.js",
                "education",
                "model visualizer"
            ],
            "reports": [
                "modelbreeder-architecture-and-projects-2",
                "model-breeder-architecture-deep-dive-2",
                "exploring-ecology-dashboard-architecture-2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/private-meeting-intelligence",
            "canonicalUrl": "https://modelbreeder.com/blueprints/private-meeting-intelligence",
            "type": "curated-guide",
            "title": "Private Meeting Intelligence Ecology",
            "metaTitle": "Private Meeting Intelligence Ecology — ModelBreeder.com",
            "description": "A local-first blueprint for meeting transcription, speaker notes, action items, and follow-up drafting without making every meeting a cloud event.",
            "section": "Blueprints",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/private-meeting-intelligence.md",
            "tags": [
                "meeting intelligence",
                "local AI",
                "voice",
                "privacy",
                "local models",
                "blueprints"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How can meeting intelligence work as a local model ecology?",
            "canonicalAnswer": "A local meeting-intelligence ecology can run transcription, speaker segmentation, summarization, action-item extraction, and follow-up drafting on controlled hardware, then breed better specialists from accepted corrections.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/local-ai-compliance-workbench",
            "canonicalUrl": "https://modelbreeder.com/blueprints/local-ai-compliance-workbench",
            "type": "curated-guide",
            "title": "Local AI Compliance Workbench",
            "metaTitle": "Local AI Compliance Workbench — ModelBreeder.com",
            "description": "A model-breeding blueprint for regulated teams that need local inference, audit evidence, model cards, retention control, and repeatable release packets.",
            "section": "Blueprints",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/local-ai-compliance-workbench.md",
            "tags": [
                "compliance",
                "local AI",
                "audit",
                "regulated AI",
                "model cards",
                "release packets",
                "blueprints"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What is a local AI compliance workbench?",
            "canonicalAnswer": "A local AI compliance workbench is a controlled environment for self-hosted models, local retrieval, model cards, evaluation cases, retention settings, release packets, and evidence-backed specialist promotion.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/federated-specialist-network",
            "canonicalUrl": "https://modelbreeder.com/blueprints/federated-specialist-network",
            "type": "curated-guide",
            "title": "Blueprint: federated specialist network",
            "metaTitle": "Blueprint: federated specialist network — ModelBreeder.com",
            "description": "A multi-site system that trains local adapters, aggregates bounded updates, preserves data locality, and centrally evaluates global descendants.",
            "section": "Blueprints",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/federated-specialist-network.md",
            "tags": [
                "federated learning",
                "adapters",
                "sites",
                "data locality"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "adaptable-resource-efficient-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/local-ai-for-small-business",
            "canonicalUrl": "https://modelbreeder.com/blueprints/local-ai-for-small-business",
            "type": "curated-guide",
            "title": "Local AI for Small Business",
            "metaTitle": "Local AI for Small Business — ModelBreeder.com",
            "description": "A practical blueprint for small businesses using local specialists for documents, inventory, customer service drafts, scheduling, bookkeeping support, and private knowledge bases.",
            "section": "Blueprints",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/local-ai-for-small-business.md",
            "tags": [
                "small business",
                "local AI",
                "private data",
                "model garden",
                "workflow automation",
                "blueprints"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How can small businesses benefit from local AI?",
            "canonicalAnswer": "Small businesses can use local AI to automate repeated private workflows with predictable costs: document drafting, customer-service drafts, bookkeeping support, inventory notes, scheduling, and local knowledge search.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/adaptive-document-triage",
            "canonicalUrl": "https://modelbreeder.com/blueprints/adaptive-document-triage",
            "type": "curated-guide",
            "title": "Blueprint: adaptive document triage",
            "metaTitle": "Blueprint: adaptive document triage — ModelBreeder.com",
            "description": "A modular pipeline for classification, extraction, risk detection, routing, and human review across changing document types.",
            "section": "Blueprints",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/adaptive-document-triage.md",
            "tags": [
                "document AI",
                "triage",
                "extraction",
                "human review"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "four-fs-fast-flexible-frugal-federated"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/legal-document-ecology",
            "canonicalUrl": "https://modelbreeder.com/blueprints/legal-document-ecology",
            "type": "curated-guide",
            "title": "Legal document ecology",
            "metaTitle": "Legal document ecology — ModelBreeder.com",
            "description": "A governed multi-model workflow for classifying legal documents, retrieving clauses, drafting summaries, validating citations, and preserving human review.",
            "section": "Blueprints",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/legal-document-ecology.md",
            "tags": [
                "legal documents",
                "blueprint",
                "retrieval",
                "citation validation",
                "human review"
            ],
            "reports": [
                "modelbreeder-v22-philosophy-implementation-evaluation",
                "ai-evolution-small-models-big-ecology",
                "tinyrustlm-runtime-source-integration-notes",
                "four-fs-fast-flexible-frugal-federated-v4"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/local-coding-assistant-ecology",
            "canonicalUrl": "https://modelbreeder.com/blueprints/local-coding-assistant-ecology",
            "type": "curated-guide",
            "title": "Local coding assistant ecology",
            "metaTitle": "Local coding assistant ecology — ModelBreeder.com",
            "description": "A model ecology for private code review, patch explanation, test generation, and migration planning on organization-controlled hardware.",
            "section": "Blueprints",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/local-coding-assistant-ecology.md",
            "tags": [
                "coding assistant",
                "code review",
                "local ai",
                "private code",
                "tests"
            ],
            "reports": [
                "modelbreeder-v22-philosophy-implementation-evaluation",
                "ai-evolution-small-models-big-ecology",
                "tinyrustlm-runtime-source-integration-notes",
                "four-fs-fast-flexible-frugal-federated-v4"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/personal-research-garden",
            "canonicalUrl": "https://modelbreeder.com/blueprints/personal-research-garden",
            "type": "curated-guide",
            "title": "Personal research garden",
            "metaTitle": "Personal research garden — ModelBreeder.com",
            "description": "A local-first research assistant ecology for source preservation, synthesis, notes, pseudocode, and human-authored decisions.",
            "section": "Blueprints",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/personal-research-garden.md",
            "tags": [
                "research assistant",
                "personal model garden",
                "source preservation",
                "synthesis"
            ],
            "reports": [
                "modelbreeder-v22-philosophy-implementation-evaluation",
                "ai-evolution-small-models-big-ecology",
                "tinyrustlm-runtime-source-integration-notes",
                "four-fs-fast-flexible-frugal-federated-v4"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/rust-browser-model-lab",
            "canonicalUrl": "https://modelbreeder.com/blueprints/rust-browser-model-lab",
            "type": "curated-guide",
            "title": "Rust browser model lab",
            "metaTitle": "Rust browser model lab — ModelBreeder.com",
            "description": "A first educational local-runtime lab using .slm package metadata, adapter identity, diagnostics, eval cases, and release packets.",
            "section": "Blueprints",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/rust-browser-model-lab.md",
            "tags": [
                "rust",
                "wasm",
                "browser",
                "slm",
                "adapter",
                "blueprint"
            ],
            "reports": [
                "modelbreeder-v22-philosophy-implementation-evaluation",
                "ai-evolution-small-models-big-ecology",
                "tinyrustlm-runtime-source-integration-notes",
                "four-fs-fast-flexible-frugal-federated-v4"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/privacy-first-enterprise-model-garden",
            "canonicalUrl": "https://modelbreeder.com/blueprints/privacy-first-enterprise-model-garden",
            "type": "curated-guide",
            "title": "Privacy-First Enterprise Model Garden",
            "metaTitle": "Privacy-First Enterprise Model Garden — ModelBreeder.com",
            "description": "A blueprint for enterprise teams adopting local AI because private data, auditability, and local evidence make small model ecologies useful.",
            "section": "Blueprints",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/privacy-first-enterprise-model-garden.md",
            "tags": [
                "enterprise local AI",
                "private model garden",
                "sovereign AI",
                "compliance",
                "model registry"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "four-fs-fast-flexible-frugal-federated-v4"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/cognitive-liberty-personal-model-garden",
            "canonicalUrl": "https://modelbreeder.com/blueprints/cognitive-liberty-personal-model-garden",
            "type": "curated-guide",
            "title": "Cognitive Liberty Personal Model Garden",
            "metaTitle": "Cognitive Liberty Personal Model Garden — ModelBreeder.com",
            "description": "A blueprint for personal local AI that keeps private notes, drafts, preferences, and learning loops under user control.",
            "section": "Blueprints",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/cognitive-liberty-personal-model-garden.md",
            "tags": [
                "personal AI",
                "cognitive liberty",
                "local model garden",
                "private memory",
                "user agency"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "four-fs-fast-flexible-frugal-federated-v4"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/model-breeding-lab-v1",
            "canonicalUrl": "https://modelbreeder.com/blueprints/model-breeding-lab-v1",
            "type": "curated-guide",
            "title": "Model breeding lab v1",
            "metaTitle": "Model breeding lab v1 — ModelBreeder.com",
            "description": "A conservative offline lab for generating, evaluating, and releasing model descendants.",
            "section": "Blueprints",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/model-breeding-lab-v1.md",
            "tags": [
                "breeding lab",
                "offline",
                "champion challenger",
                "release"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "designing-perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/industrial-edge-telemetry",
            "canonicalUrl": "https://modelbreeder.com/blueprints/industrial-edge-telemetry",
            "type": "curated-guide",
            "title": "Industrial edge telemetry blueprint",
            "metaTitle": "Industrial edge telemetry blueprint — ModelBreeder.com",
            "description": "A safe pattern for using small-model ecologies in factories, facilities, fields, and fleets.",
            "section": "Blueprints",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/industrial-edge-telemetry.md",
            "tags": [
                "industrial ai",
                "edge telemetry",
                "fleet",
                "factory",
                "field"
            ],
            "reports": [
                "ai-code-beading-model-breeding",
                "adaptable-resource-efficient-ai-ecosystems",
                "four-fs-fast-flexible-frugal-federated"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/code-review-ecology",
            "canonicalUrl": "https://modelbreeder.com/blueprints/code-review-ecology",
            "type": "curated-guide",
            "title": "Blueprint: code-review ecology",
            "metaTitle": "Blueprint: code-review ecology — ModelBreeder.com",
            "description": "A governed coalition of static analyzers, specialized review models, test generators, and an independent acceptance gate.",
            "section": "Blueprints",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/code-review-ecology.md",
            "tags": [
                "code review",
                "code beading",
                "static analysis",
                "security"
            ],
            "reports": [
                "ai-code-beading-model-breeding",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/browser-local-adapter-marketplace",
            "canonicalUrl": "https://modelbreeder.com/blueprints/browser-local-adapter-marketplace",
            "type": "curated-guide",
            "title": "Browser-local adapter marketplace",
            "metaTitle": "Browser-local adapter marketplace — ModelBreeder.com",
            "description": "A case study for local skill packages, adapter compatibility, manifest trust, and user-controlled model composition.",
            "section": "Blueprints",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/browser-local-adapter-marketplace.md",
            "tags": [
                "browser local adapters",
                "skill marketplace",
                "local AI"
            ],
            "reports": [
                "modelbreeder-theory-implementation-evaluation",
                "teleodynamic-evolution-ai-ecosystems",
                "tinyrustlm-rust-runtime-source-bundle",
                "mutualist-persistence"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/coding-assistant-ecology",
            "canonicalUrl": "https://modelbreeder.com/blueprints/coding-assistant-ecology",
            "type": "curated-guide",
            "title": "Coding assistant ecology",
            "metaTitle": "Coding assistant ecology — ModelBreeder.com",
            "description": "A model-breeding case study for local code completion, test generation, patch review, type prediction, and release evidence.",
            "section": "Blueprints",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/coding-assistant-ecology.md",
            "tags": [
                "coding assistant",
                "test generation",
                "code review"
            ],
            "reports": [
                "modelbreeder-theory-implementation-evaluation",
                "teleodynamic-evolution-ai-ecosystems",
                "tinyrustlm-rust-runtime-source-bundle",
                "mutualist-persistence"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/industrial-telemetry-ecology",
            "canonicalUrl": "https://modelbreeder.com/blueprints/industrial-telemetry-ecology",
            "type": "curated-guide",
            "title": "Industrial telemetry ecology",
            "metaTitle": "Industrial telemetry ecology — ModelBreeder.com",
            "description": "A model-breeding case study for edge anomaly detection, local triage, escalation, and operator-readable incident packets.",
            "section": "Blueprints",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/industrial-telemetry-ecology.md",
            "tags": [
                "industrial telemetry",
                "anomaly detection",
                "edge AI"
            ],
            "reports": [
                "modelbreeder-theory-implementation-evaluation",
                "teleodynamic-evolution-ai-ecosystems",
                "tinyrustlm-rust-runtime-source-bundle",
                "mutualist-persistence"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/personal-research-ecology",
            "canonicalUrl": "https://modelbreeder.com/blueprints/personal-research-ecology",
            "type": "curated-guide",
            "title": "Personal research assistant ecology",
            "metaTitle": "Personal research assistant ecology — ModelBreeder.com",
            "description": "A case study for source ingestion, claim extraction, synthesis, critique, citation checking, and durable research memory.",
            "section": "Blueprints",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/personal-research-ecology.md",
            "tags": [
                "research assistant",
                "synthesis",
                "source memory"
            ],
            "reports": [
                "modelbreeder-theory-implementation-evaluation",
                "teleodynamic-evolution-ai-ecosystems",
                "tinyrustlm-rust-runtime-source-bundle",
                "mutualist-persistence"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/private-meeting-intelligence-ecology",
            "canonicalUrl": "https://modelbreeder.com/blueprints/private-meeting-intelligence-ecology",
            "type": "curated-guide",
            "title": "Private Meeting Intelligence Ecology",
            "metaTitle": "Private Meeting Intelligence Ecology — ModelBreeder.com",
            "description": "A local-first blueprint for meeting notes, speaker-aware summaries, action items, follow-up drafts, and team memory without unnecessary raw transcript movement.",
            "section": "Blueprints",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/private-meeting-intelligence-ecology.md",
            "tags": [
                "meeting assistant",
                "local ai",
                "voice privacy",
                "transcription",
                "private rag",
                "model breeding"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-adoption-and-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How can local AI improve meeting intelligence?",
            "canonicalAnswer": "Local AI can improve meeting intelligence by transcribing, segmenting, summarizing, extracting action items, and updating team memory near the source, then preserving only the evidence and summaries that the organization chooses to keep.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/local-ai-small-business-ecology",
            "canonicalUrl": "https://modelbreeder.com/blueprints/local-ai-small-business-ecology",
            "type": "curated-guide",
            "title": "Local AI Small Business Ecology",
            "metaTitle": "Local AI Small Business Ecology — ModelBreeder.com",
            "description": "A positive blueprint for small businesses using local specialists for invoices, customer emails, product notes, scheduling, support summaries, and private operational memory.",
            "section": "Blueprints",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/local-ai-small-business-ecology.md",
            "tags": [
                "small business",
                "local ai",
                "private rag",
                "model breeding",
                "local specialists",
                "operations"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-adoption-and-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "Why does local AI expand AI access for small businesses?",
            "canonicalAnswer": "Local AI expands access for small businesses because repeated private tasks can be handled by affordable local specialists instead of recurring cloud calls that move customer, invoice, product, or strategy data through third-party systems.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/safe-model-merge-lab",
            "canonicalUrl": "https://modelbreeder.com/blueprints/safe-model-merge-lab",
            "type": "curated-guide",
            "title": "Blueprint: safe model-merge lab",
            "metaTitle": "Blueprint: safe model-merge lab — ModelBreeder.com",
            "description": "An offline laboratory for compatible model merges with search, interference tests, lineage, and no direct production deployment.",
            "section": "Blueprints",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/safe-model-merge-lab.md",
            "tags": [
                "model merge",
                "laboratory",
                "compatibility",
                "interference"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/continual-classifier",
            "canonicalUrl": "https://modelbreeder.com/blueprints/continual-classifier",
            "type": "curated-guide",
            "title": "Blueprint: continual classifier",
            "metaTitle": "Blueprint: continual classifier — ModelBreeder.com",
            "description": "A classifier that adapts to new categories and drift through immutable descendants, replay sets, calibration, and reversible taxonomy changes.",
            "section": "Blueprints",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/continual-classifier.md",
            "tags": [
                "continual learning",
                "classifier",
                "drift",
                "taxonomy"
            ],
            "reports": [
                "perfect-evolutionary-ai",
                "four-fs-fast-flexible-frugal-federated"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/browser-skill-ecology",
            "canonicalUrl": "https://modelbreeder.com/blueprints/browser-skill-ecology",
            "type": "curated-guide",
            "title": "Browser skill ecology",
            "metaTitle": "Browser skill ecology — ModelBreeder.com",
            "description": "A blueprint for running tiny specialists, routers, local memory, and evaluation traces in a browser-first environment.",
            "section": "Blueprints",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/browser-skill-ecology.md",
            "tags": [
                "browser",
                "edge",
                "tiny models",
                "wasm",
                "local runtime"
            ],
            "reports": [
                "ai-code-beading-model-breeding",
                "adaptable-resource-efficient-ai-ecosystems",
                "four-fs-fast-flexible-frugal-federated"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/governed-adapter-foundry",
            "canonicalUrl": "https://modelbreeder.com/blueprints/governed-adapter-foundry",
            "type": "curated-guide",
            "title": "Governed adapter foundry",
            "metaTitle": "Governed adapter foundry — ModelBreeder.com",
            "description": "A controlled pipeline for creating, evaluating, versioning, and releasing LoRA-style adapters as model descendants.",
            "section": "Blueprints",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/governed-adapter-foundry.md",
            "tags": [
                "adapter",
                "LoRA",
                "foundry",
                "pipeline",
                "descendants"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "four-fs-fast-flexible-frugal-federated",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/blueprints/model-breeder-mvp",
            "canonicalUrl": "https://modelbreeder.com/blueprints/model-breeder-mvp",
            "type": "curated-guide",
            "title": "ModelBreeder MVP",
            "metaTitle": "ModelBreeder MVP — ModelBreeder.com",
            "description": "A build sequence for a minimal no-database model-breeding lab with registries, scorecards, and conservative release gates.",
            "section": "Blueprints",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/blueprints/model-breeder-mvp.md",
            "tags": [
                "mvp",
                "no database",
                "registry",
                "scorecards",
                "release gate"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "four-fs-fast-flexible-frugal-federated"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab",
            "type": "curated-guide",
            "title": "Browser-Native Evolution Lab",
            "metaTitle": "Browser-Native Evolution Lab — ModelBreeder.com",
            "description": "Use local simulations, lineage viewers, fitness scorecards, and model-population tools to explore adaptive AI systems directly in the browser.",
            "section": "Evolution Lab",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab.md",
            "tags": [
                "evolution lab",
                "browser lab",
                "population simulator",
                "lineage viewer",
                "dashboard"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "exploring-ecology-dashboard-architecture-2"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/ecology-dashboard",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/ecology-dashboard",
            "type": "curated-guide",
            "title": "Evolution Lab Dashboard: From Population to Promotion",
            "metaTitle": "Evolution Lab Dashboard: From Population to Promotion — ModelBreeder.com",
            "description": "A positive builder dashboard that turns model breeding theory into visible population tables, fitness trends, novelty signals, and release-ready evidence.",
            "section": "Evolution Lab",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/ecology-dashboard.md",
            "tags": [
                "evolution dashboard",
                "population dashboard",
                "fitness",
                "novelty",
                "model breeding",
                "visual tools"
            ],
            "reports": [
                "theory-controlled-evolution-ai-models-v2",
                "modelbreeder-site-theory-controlled-evolution-v2",
                "model-breeder-site-improvement-directive",
                "modelbreeder-theory-vs-source-files-v2"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/multi-parent-merge-workflow",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/multi-parent-merge-workflow",
            "type": "curated-guide",
            "title": "Multi-Parent Merge Workflow",
            "metaTitle": "Multi-Parent Merge Workflow — ModelBreeder.com",
            "description": "A practical workflow for moving from two-parent adapter merging to N-way model-breeding experiments with compatibility checks and fitness-led selection.",
            "section": "Evolution Lab",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/multi-parent-merge-workflow.md",
            "tags": [
                "multi-parent merge",
                "model soups",
                "adapter merge",
                "evolutionary model merging",
                "model breeding"
            ],
            "reports": [
                "model-merging-survey",
                "tiny-llm-adapters-lora",
                "theory-controlled-evolution-ai-models-v2",
                "model-breeder-site-improvement-directive"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/epigenetic-steering",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/epigenetic-steering",
            "type": "curated-guide",
            "title": "Epigenetic steering vectors",
            "metaTitle": "Epigenetic steering vectors — ModelBreeder.com",
            "description": "A careful implementation frame for compact behavioral steering vectors, treated as experimental adapter-like metadata rather than proof of unrestricted AI copulation.",
            "section": "Evolution Lab",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/epigenetic-steering.md",
            "tags": [
                "epigenetic steering",
                "tau vector",
                "adapters",
                "compact genotype",
                "experimental vectors"
            ],
            "reports": [
                "model-breeder-site-improvement-directive",
                "tiny-llm-adapters-lora",
                "designing-perfect-evolutionary-ai-system",
                "perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/niche-archive-and-speciation",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/niche-archive-and-speciation",
            "type": "curated-guide",
            "title": "Niche Archive and Speciation",
            "metaTitle": "Niche Archive and Speciation — ModelBreeder.com",
            "description": "How a model-breeding lab preserves useful diversity by grouping descendants into niches instead of collapsing too early onto one champion.",
            "section": "Evolution Lab",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/niche-archive-and-speciation.md",
            "tags": [
                "niche archive",
                "speciation",
                "quality diversity",
                "MAP-Elites",
                "novelty",
                "useful diversity"
            ],
            "reports": [
                "theory-controlled-evolution-ai-models-v2",
                "designing-perfect-evolutionary-ai-system",
                "perfect-evolutionary-ai",
                "teleodynamic-evolution-ai-ecosystems-v4"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/evolutionary-merge-search",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/evolutionary-merge-search",
            "type": "curated-guide",
            "title": "Evolutionary merge search",
            "metaTitle": "Evolutionary merge search — ModelBreeder.com",
            "description": "How to use population search, surrogate evaluation, compatibility checks, and multi-objective scoring to explore model and adapter merge candidates.",
            "section": "Evolution Lab",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/evolutionary-merge-search.md",
            "tags": [
                "model merging",
                "adapter merging",
                "nsga-ii",
                "quality diversity",
                "surrogate evaluation",
                "merge search"
            ],
            "reports": [
                "model-merging-survey",
                "tiny-llm-adapters-lora",
                "model-breeder-site-improvement-directive",
                "designing-perfect-evolutionary-ai-system",
                "perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/browser-cnn-visualizer",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/browser-cnn-visualizer",
            "type": "curated-guide",
            "title": "Browser CNN Visualizer",
            "metaTitle": "Browser CNN Visualizer — ModelBreeder.com",
            "description": "A browser-native learning lab pattern using TensorFlow.js, Three.js, WebGL, local training, layer visualization, and feature-map inspection.",
            "section": "Evolution Lab",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/browser-cnn-visualizer.md",
            "tags": [
                "browser AI",
                "CNN visualizer",
                "TensorFlow.js",
                "Three.js",
                "WebGL",
                "education lab"
            ],
            "reports": [
                "modelbreeder-architecture-and-projects-2",
                "model-breeder-architecture-deep-dive-2",
                "exploring-ecology-dashboard-architecture-2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/core-loop",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/core-loop",
            "type": "curated-guide",
            "title": "Core evolutionary loop",
            "metaTitle": "Core evolutionary loop — ModelBreeder.com",
            "description": "A production-oriented ask–generate–evaluate–select loop with no-op, immutable lineage, and independent release gates.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/core-loop.md",
            "tags": [
                "core loop",
                "selection",
                "no-op",
                "candidate lifecycle"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "designing-perfect-evolutionary-ai-system"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/population-simulator",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/population-simulator",
            "type": "curated-guide",
            "title": "Population Simulator",
            "metaTitle": "Population Simulator — ModelBreeder.com",
            "description": "How the browser-local population simulator teaches mutation, selection, diversity, carrying capacity, specialists, champions, and no-op outcomes.",
            "section": "Evolution Lab",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/population-simulator.md",
            "tags": [
                "population simulator",
                "mutation",
                "selection",
                "diversity",
                "champions",
                "specialists"
            ],
            "reports": [
                "exploring-ecology-dashboard-architecture-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-v260-evolution-dashboard-implementation-notes"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/lineage-viewer",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/lineage-viewer",
            "type": "curated-guide",
            "title": "Lineage DAG Viewer",
            "metaTitle": "Lineage DAG Viewer — ModelBreeder.com",
            "description": "A guide to visualizing parent-child relationships, adapters, merges, evaluation evidence, and release states in model-breeding labs.",
            "section": "Evolution Lab",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/lineage-viewer.md",
            "tags": [
                "lineage viewer",
                "lineage DAG",
                "visualizer",
                "model descendants",
                "evidence"
            ],
            "reports": [
                "exploring-ecology-dashboard-architecture-2",
                "modelbreeder-architecture-resources-part-2-2",
                "tinyrustlm-runtime-source-integration-notes"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/evolutionary-operators-catalog",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/evolutionary-operators-catalog",
            "type": "curated-guide",
            "title": "Evolutionary operators catalog",
            "metaTitle": "Evolutionary operators catalog — ModelBreeder.com",
            "description": "A practical catalog of safe model-breeding and code-breeding operators with evaluation requirements.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/evolutionary-operators-catalog.md",
            "tags": [
                "operators",
                "mutation",
                "recombination",
                "catalog",
                "experiments"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "designing-perfect-evolutionary-ai",
                "perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/mutation-operators",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/mutation-operators",
            "type": "curated-guide",
            "title": "Mutation operators",
            "metaTitle": "Mutation operators — ModelBreeder.com",
            "description": "A catalog of bounded transformations for models, adapters, routers, data recipes, and code—with risk and compatibility controls.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/mutation-operators.md",
            "tags": [
                "mutation",
                "fine-tuning",
                "quantization",
                "code breeding"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "designing-perfect-evolutionary-ai-system",
                "perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/tournament-selection",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/tournament-selection",
            "type": "curated-guide",
            "title": "Tournament selection for model populations",
            "metaTitle": "Tournament selection for model populations — ModelBreeder.com",
            "description": "How to compare candidate descendants without reducing selection to one benchmark score.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/tournament-selection.md",
            "tags": [
                "tournament",
                "selection",
                "scorecards",
                "champion challenger"
            ],
            "reports": [
                "teleodynamic-evolution-ai-ecosystems",
                "designing-perfect-evolutionary-ai-system",
                "terms-four-fs-code-beading-model-breeding"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/local-model-breeding-lab",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/local-model-breeding-lab",
            "type": "curated-guide",
            "title": "Local Model Breeding Lab",
            "metaTitle": "Local Model Breeding Lab — ModelBreeder.com",
            "description": "A practical lab plan for turning local AI adoption pressure into useful private descendants, fitness evidence, and model gardens.",
            "section": "Evolution Lab",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/local-model-breeding-lab.md",
            "tags": [
                "local lab",
                "model breeding",
                "private data",
                "fitness evidence",
                "adapters"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "four-fs-fast-flexible-frugal-federated-v4"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/evolutionary-model-merge-lab",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/evolutionary-model-merge-lab",
            "type": "curated-guide",
            "title": "Evolutionary model merge lab",
            "metaTitle": "Evolutionary model merge lab — ModelBreeder.com",
            "description": "A practical lab pattern for searching compatible model and adapter merges with diversity preservation, NSGA-style ranking, and strict compatibility gates.",
            "section": "Evolution Lab",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/evolutionary-model-merge-lab.md",
            "tags": [
                "model merging",
                "evolutionary merge",
                "adapters",
                "NSGA",
                "compatibility"
            ],
            "reports": [
                "model-breeder-site-improvement-directive",
                "model-merging-survey",
                "tiny-llm-adapters-lora",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/fitness-novelty-selection",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/fitness-novelty-selection",
            "type": "curated-guide",
            "title": "Fitness and novelty selection loop",
            "metaTitle": "Fitness and novelty selection loop — ModelBreeder.com",
            "description": "A practical model-breeding loop that keeps champions, specialists, and diverse challengers by combining fitness scores with novelty records.",
            "section": "Evolution lab",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/fitness-novelty-selection.md",
            "tags": [
                "fitness",
                "novelty",
                "selection",
                "quality diversity",
                "population"
            ],
            "reports": [
                "modelbreeder-site-theory-controlled-evolution-v2",
                "theory-controlled-evolution-ai-models-v2",
                "designing-perfect-evolutionary-ai-system",
                "perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/cooperative-caste-ecosystems",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/cooperative-caste-ecosystems",
            "type": "curated-guide",
            "title": "Cooperative caste ecosystems",
            "metaTitle": "Cooperative caste ecosystems — ModelBreeder.com",
            "description": "A lab design for proposer, solver, judge, router, and critic populations that co-improve without letting candidates control their own evaluation.",
            "section": "Evolution Lab",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/cooperative-caste-ecosystems.md",
            "tags": [
                "multi-agent",
                "proposer",
                "solver",
                "judge",
                "coevolution",
                "evaluation"
            ],
            "reports": [
                "model-breeder-site-improvement-directive",
                "teleodynamic-evolution-ai-ecosystems",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/recombination-and-merging",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/recombination-and-merging",
            "type": "curated-guide",
            "title": "Recombination and model merging",
            "metaTitle": "Recombination and model merging — ModelBreeder.com",
            "description": "How to combine parents through behavioral coalitions, adapters, task vectors, or compatible weights without assuming universal parameter interoperability.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/recombination-and-merging.md",
            "tags": [
                "model merging",
                "recombination",
                "task vectors",
                "ensembles"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/diversity-vs-bloat",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/diversity-vs-bloat",
            "type": "curated-guide",
            "title": "Diversity versus bloat",
            "metaTitle": "Diversity versus bloat — ModelBreeder.com",
            "description": "How to preserve useful specialist variety without letting the ecology accumulate dead weight.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/diversity-vs-bloat.md",
            "tags": [
                "diversity",
                "bloat",
                "quality diversity",
                "retirement",
                "ecology"
            ],
            "reports": [
                "designing-perfect-evolutionary-ai",
                "perfect-evolutionary-ai",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/distillation-and-specialization",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/distillation-and-specialization",
            "type": "curated-guide",
            "title": "Distillation and specialization",
            "metaTitle": "Distillation and specialization — ModelBreeder.com",
            "description": "Creating smaller task-focused descendants from teachers or coalitions while preserving coverage, provenance, and failure awareness.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/distillation-and-specialization.md",
            "tags": [
                "distillation",
                "specialists",
                "synthetic data",
                "teachers"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/teleodynamic-test-harness",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/teleodynamic-test-harness",
            "type": "curated-guide",
            "title": "Teleodynamic test harness",
            "metaTitle": "Teleodynamic test harness — ModelBreeder.com",
            "description": "A test harness design for split, add, merge, retire, and no-op decisions under resource constraints.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/teleodynamic-test-harness.md",
            "tags": [
                "test harness",
                "teleodynamic",
                "split",
                "merge",
                "retire",
                "no-op"
            ],
            "reports": [
                "teleodynamic-evolution-ai-ecosystems",
                "ai-code-beading-model-breeding",
                "designing-perfect-evolutionary-ai-system"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/quality-diversity",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/quality-diversity",
            "type": "curated-guide",
            "title": "Quality-diversity archives",
            "metaTitle": "Quality-diversity archives — ModelBreeder.com",
            "description": "Maintaining multiple high-performing behavioral niches instead of collapsing the population onto one global champion.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/quality-diversity.md",
            "tags": [
                "quality diversity",
                "MAP-Elites",
                "archive",
                "niches"
            ],
            "reports": [
                "designing-perfect-evolutionary-ai",
                "perfect-evolutionary-ai",
                "designing-perfect-evolutionary-ai-system"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/population-management",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/population-management",
            "type": "curated-guide",
            "title": "Population management",
            "metaTitle": "Population management — ModelBreeder.com",
            "description": "Rules for champions, challengers, specialists, archives, duplicates, age, traffic allocation, and retirement.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/population-management.md",
            "tags": [
                "population",
                "champion challenger",
                "retirement",
                "archive"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/experiment-design",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/experiment-design",
            "type": "curated-guide",
            "title": "Experiment design",
            "metaTitle": "Experiment design — ModelBreeder.com",
            "description": "Reproducible hypotheses, baselines, frozen suites, seeds, ablations, budgets, and stopping rules for model-breeding research.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/experiment-design.md",
            "tags": [
                "experiments",
                "reproducibility",
                "baselines",
                "ablations"
            ],
            "reports": [
                "designing-perfect-evolutionary-ai-system",
                "perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/benchmarking",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/benchmarking",
            "type": "curated-guide",
            "title": "Benchmarking adaptive model ecologies",
            "metaTitle": "Benchmarking adaptive model ecologies — ModelBreeder.com",
            "description": "A multi-dimensional evaluation program covering utility, calibration, robustness, resources, diversity, adaptation, governance, and lifecycle cost.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/benchmarking.md",
            "tags": [
                "benchmarks",
                "metrics",
                "calibration",
                "resource"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "designing-perfect-evolutionary-ai-system",
                "perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/failure-injection",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/failure-injection",
            "type": "curated-guide",
            "title": "Failure injection and recovery",
            "metaTitle": "Failure injection and recovery — ModelBreeder.com",
            "description": "Controlled experiments that test model loss, poisoned updates, router error, evaluator outage, resource pressure, drift, and rollback.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/failure-injection.md",
            "tags": [
                "failure injection",
                "chaos",
                "recovery",
                "resilience"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/surrogate-evaluation",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/surrogate-evaluation",
            "type": "curated-guide",
            "title": "Surrogate evaluation",
            "metaTitle": "Surrogate evaluation — ModelBreeder.com",
            "description": "Using cheaper predictors to prioritize expensive candidate evaluations without allowing the surrogate to become an unverified fitness oracle.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/surrogate-evaluation.md",
            "tags": [
                "surrogate",
                "acquisition function",
                "search cost",
                "evaluation"
            ],
            "reports": [
                "designing-perfect-evolutionary-ai",
                "designing-perfect-evolutionary-ai-system"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/open-endedness-limits",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/open-endedness-limits",
            "type": "curated-guide",
            "title": "Open-endedness and its limits",
            "metaTitle": "Open-endedness and its limits — ModelBreeder.com",
            "description": "How to study continual novelty without removing budgets, objectives, stopping conditions, or human governance.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/open-endedness-limits.md",
            "tags": [
                "open-ended evolution",
                "novelty",
                "containment",
                "research"
            ],
            "reports": [
                "perfect-evolutionary-ai",
                "designing-perfect-evolutionary-ai",
                "designing-perfect-evolutionary-ai-system"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/niche-map-design",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/niche-map-design",
            "type": "curated-guide",
            "title": "Niche-map design",
            "metaTitle": "Niche-map design — ModelBreeder.com",
            "description": "How to choose behavior descriptors for a quality-diversity archive without creating meaningless novelty buckets.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/niche-map-design.md",
            "tags": [
                "niche map",
                "quality diversity",
                "descriptors",
                "archive"
            ],
            "reports": [
                "designing-perfect-evolutionary-ai",
                "perfect-evolutionary-ai",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/routing-experiments",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/routing-experiments",
            "type": "curated-guide",
            "title": "Routing experiments",
            "metaTitle": "Routing experiments — ModelBreeder.com",
            "description": "Design experiments that test whether routers, cascades, and coalitions improve net viability over single-model baselines.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/routing-experiments.md",
            "tags": [
                "routing",
                "cascade",
                "coalition",
                "experiment",
                "baseline"
            ],
            "reports": [
                "teleodynamic-evolution-ai-ecosystems",
                "four-fs-fast-flexible-frugal-federated",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/ablation-studies",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/ablation-studies",
            "type": "curated-guide",
            "title": "Ablation studies",
            "metaTitle": "Ablation studies — ModelBreeder.com",
            "description": "How to isolate the contribution of mutation operators, routers, archives, evaluators, and governance gates.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/ablation-studies.md",
            "tags": [
                "ablation",
                "experiment",
                "evidence",
                "operators"
            ],
            "reports": [
                "designing-perfect-evolutionary-ai-system",
                "designing-perfect-evolutionary-ai",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/lineage-experiments",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/lineage-experiments",
            "type": "curated-guide",
            "title": "Lineage experiments",
            "metaTitle": "Lineage experiments — ModelBreeder.com",
            "description": "Experiments that compare parents, descendants, siblings, and family lines to learn which breeding operators work.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/lineage-experiments.md",
            "tags": [
                "lineage",
                "parents",
                "descendants",
                "operators",
                "evaluation"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "designing-perfect-evolutionary-ai-system"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/drift-and-distribution-shift",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/drift-and-distribution-shift",
            "type": "curated-guide",
            "title": "Drift and distribution shift",
            "metaTitle": "Drift and distribution shift — ModelBreeder.com",
            "description": "How to detect environmental changes that justify renewed breeding, routing changes, or retirement.",
            "section": "Evolution Lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/drift-and-distribution-shift.md",
            "tags": [
                "drift",
                "distribution shift",
                "telemetry",
                "trigger",
                "adaptation"
            ],
            "reports": [
                "teleodynamic-evolution-ai-ecosystems",
                "four-fs-fast-flexible-frugal-federated",
                "adaptable-resource-efficient-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/positive-selection-metrics",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/positive-selection-metrics",
            "type": "curated-guide",
            "title": "Positive selection metrics",
            "metaTitle": "Positive selection metrics — ModelBreeder.com",
            "description": "A lab guide for measuring capability transfer, user empowerment, reuse, frugality, and ecological contribution.",
            "section": "Evolution lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/positive-selection-metrics.md",
            "tags": [
                "metrics",
                "positive selection",
                "evaluation"
            ],
            "reports": [
                "mutualist-persistence-v3",
                "model-merging-survey",
                "designing-perfect-evolutionary-ai-system-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/capability-transfer-experiments",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/capability-transfer-experiments",
            "type": "curated-guide",
            "title": "Capability transfer experiments",
            "metaTitle": "Capability transfer experiments — ModelBreeder.com",
            "description": "How to test whether a model ecology makes people better at the work instead of only making the interaction easier.",
            "section": "Evolution lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/capability-transfer-experiments.md",
            "tags": [
                "experiments",
                "capability transfer",
                "learning"
            ],
            "reports": [
                "human-drive-survive-v3",
                "mutualist-persistence-v3",
                "evolution-legacy-societal-evaluation-v4"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/evolution-lab/benefit-benchmark-suite",
            "canonicalUrl": "https://modelbreeder.com/evolution-lab/benefit-benchmark-suite",
            "type": "curated-guide",
            "title": "Benefit benchmark suite",
            "metaTitle": "Benefit benchmark suite — ModelBreeder.com",
            "description": "A proposed benchmark suite for productivity, teaching, frugality, local privacy, reuse, and maintainability.",
            "section": "Evolution lab",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/evolution-lab/benefit-benchmark-suite.md",
            "tags": [
                "benchmark",
                "benefits",
                "productivity",
                "frugality"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated-v4",
                "mutualist-persistence-v3",
                "rise-on-device-tiny-language-models"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations",
            "canonicalUrl": "https://modelbreeder.com/foundations",
            "type": "curated-guide",
            "title": "Foundations",
            "metaTitle": "Foundations — ModelBreeder.com",
            "description": "Beginner-friendly foundations for model breeding as adaptive ecology: five pillars, core loop, vocabulary, lineage, local-first execution, and positive engineering practice.",
            "section": "Foundations",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/foundations.md",
            "tags": [
                "foundations",
                "five pillars",
                "core loop",
                "terminology",
                "adaptive ecology"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/five-pillars",
            "canonicalUrl": "https://modelbreeder.com/foundations/five-pillars",
            "type": "curated-guide",
            "title": "The Five Pillars of Model Breeding",
            "metaTitle": "The Five Pillars of Model Breeding — ModelBreeder.com",
            "description": "The constructive operating pillars behind adaptive model ecologies: compounding, local-first, frugal, generative, and mutualist.",
            "section": "Foundations",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/foundations/five-pillars.md",
            "tags": [
                "five pillars",
                "compounding",
                "local-first",
                "frugal",
                "generative",
                "mutualist"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/core-loop",
            "canonicalUrl": "https://modelbreeder.com/foundations/core-loop",
            "type": "curated-guide",
            "title": "The Core Model-Breeding Loop",
            "metaTitle": "The Core Model-Breeding Loop — ModelBreeder.com",
            "description": "The four-step loop for useful descendant creation: create variation, measure fitness, select a population, and release with evidence.",
            "section": "Foundations",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/foundations/core-loop.md",
            "tags": [
                "core loop",
                "variation",
                "fitness",
                "selection",
                "release evidence",
                "no-op"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "teleodynamic-evolution-ai-ecosystems-v4"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/model-breeding",
            "canonicalUrl": "https://modelbreeder.com/foundations/model-breeding",
            "type": "curated-guide",
            "title": "What Model Breeding Means",
            "metaTitle": "Model Breeding Definition — ModelBreeder.com",
            "description": "Definition of model breeding as disciplined descendant creation, with operators, lineage, FitnessVector evidence, and release-ready package records.",
            "section": "Foundations",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/foundations/model-breeding.md",
            "tags": [
                "model breeding",
                "descendants",
                "lineage",
                "selection",
                "canonical definition",
                "answer engine"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What is model breeding?",
            "canonicalAnswer": "Model breeding is the disciplined creation, comparison, and reuse of model descendants so capability can compound through useful specialists, trusted evidence, local execution, and human-guided evolution.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/digital-four-fs-cycle",
            "canonicalUrl": "https://modelbreeder.com/foundations/digital-four-fs-cycle",
            "type": "curated-guide",
            "title": "The digital Four Fs cycle",
            "metaTitle": "The digital Four Fs cycle — ModelBreeder.com",
            "description": "Feed, Fork, Fight, and Flee as the operating loop for adaptive model ecologies.",
            "section": "Foundations",
            "updated": "2026-06-27",
            "indexable": true,
            "sourcePath": "content/pages/foundations/digital-four-fs-cycle.md",
            "tags": [
                "digital four fs",
                "feed",
                "fork",
                "fight",
                "flee",
                "lifecycle"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "survival-drive-strive-thrive",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/two-four-f-taxonomy",
            "canonicalUrl": "https://modelbreeder.com/foundations/two-four-f-taxonomy",
            "type": "curated-guide",
            "title": "The two Four-F frameworks",
            "metaTitle": "The two Four-F frameworks — ModelBreeder.com",
            "description": "How to keep Fast/Flexible/Frugal/Federated distinct from Feed/Fork/Fight/Flee.",
            "section": "Foundations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/foundations/two-four-f-taxonomy.md",
            "tags": [
                "four fs",
                "taxonomy",
                "fast flexible frugal federated",
                "feed fork fight flee"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "four-fs-fast-flexible-frugal-federated",
                "ai-code-beading-model-breeding"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/model-ecology-vs-monolith",
            "canonicalUrl": "https://modelbreeder.com/foundations/model-ecology-vs-monolith",
            "type": "curated-guide",
            "title": "Model ecology versus monolith",
            "metaTitle": "Model ecology versus monolith — ModelBreeder.com",
            "description": "Why the unit of adaptation shifts from one giant parameter store to a governed population of specialists.",
            "section": "Foundations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/foundations/model-ecology-vs-monolith.md",
            "tags": [
                "model ecology",
                "monolith",
                "specialists",
                "portfolio"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "adaptable-resource-efficient-ai-ecosystems",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/research-map",
            "canonicalUrl": "https://modelbreeder.com/foundations/research-map",
            "type": "curated-guide",
            "title": "Research maturity map",
            "metaTitle": "Research maturity map — ModelBreeder.com",
            "description": "A disciplined map of which ideas are established engineering, emerging research, conceptual synthesis, or speculative extension.",
            "section": "Foundations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/foundations/research-map.md",
            "tags": [
                "research maturity",
                "evidence",
                "editorial"
            ],
            "reports": [
                "four-fs-code-beading-model-breeding",
                "terms-four-fs-code-beading-model-breeding",
                "adaptable-resource-efficient-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/teleodynamic-budget",
            "canonicalUrl": "https://modelbreeder.com/foundations/teleodynamic-budget",
            "type": "curated-guide",
            "title": "The teleodynamic budget",
            "metaTitle": "The teleodynamic budget — ModelBreeder.com",
            "description": "A practical way to turn viability theory into resource ledgers, thresholds, and no-op decisions.",
            "section": "Foundations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/foundations/teleodynamic-budget.md",
            "tags": [
                "teleodynamics",
                "budget",
                "viability",
                "resource ledger",
                "no-op"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "ai-code-beading-model-breeding"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/terminology",
            "canonicalUrl": "https://modelbreeder.com/foundations/terminology",
            "type": "curated-guide",
            "title": "Terminology and naming",
            "metaTitle": "Terminology and naming — ModelBreeder.com",
            "description": "A normalized vocabulary for model breeding, code breeding, code beading, the two Four-F frameworks, and related evolutionary terms.",
            "section": "Foundations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/foundations/terminology.md",
            "tags": [
                "terminology",
                "code breeding",
                "code beading",
                "4Fs"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "four-fs-code-beading-model-breeding",
                "ai-code-beading-model-breeding"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/small-model-ecologies",
            "canonicalUrl": "https://modelbreeder.com/foundations/small-model-ecologies",
            "type": "curated-guide",
            "title": "Small-model ecologies",
            "metaTitle": "Small-model ecologies — ModelBreeder.com",
            "description": "How populations of narrow, replaceable models can provide adaptive system-level capability without a single mutable monolith.",
            "section": "Foundations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/foundations/small-model-ecologies.md",
            "tags": [
                "small models",
                "ecology",
                "specialists",
                "coalitions"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "four-fs-fast-flexible-frugal-federated",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/four-fs",
            "canonicalUrl": "https://modelbreeder.com/foundations/four-fs",
            "type": "curated-guide",
            "title": "The operational 4Fs",
            "metaTitle": "The operational 4Fs — ModelBreeder.com",
            "description": "Fast, Flexible, Frugal, and Federated as measurable design constraints for adaptive AI systems.",
            "section": "Foundations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/foundations/four-fs.md",
            "tags": [
                "4Fs",
                "fast",
                "flexible",
                "frugal",
                "federated"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "adaptable-resource-efficient-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/evolutionary-four-fs",
            "canonicalUrl": "https://modelbreeder.com/foundations/evolutionary-four-fs",
            "type": "curated-guide",
            "title": "The evolutionary 4Fs",
            "metaTitle": "The evolutionary 4Fs — ModelBreeder.com",
            "description": "Feed, Fork, Fight, and Flee as an operational cycle for bounded variation, evaluation, and retirement.",
            "section": "Foundations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/foundations/evolutionary-four-fs.md",
            "tags": [
                "Feed Fork Fight Flee",
                "evolution loop",
                "no-op"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/teleodynamics",
            "canonicalUrl": "https://modelbreeder.com/foundations/teleodynamics",
            "type": "curated-guide",
            "title": "Teleodynamic control for AI systems",
            "metaTitle": "Teleodynamic control for AI systems — ModelBreeder.com",
            "description": "A practical interpretation of teleodynamics as a resource-aware two-timescale controller for reversible structural adaptation.",
            "section": "Foundations",
            "updated": "2026-06-27",
            "indexable": true,
            "sourcePath": "content/pages/foundations/teleodynamics.md",
            "tags": [
                "teleodynamics",
                "two timescales",
                "viability",
                "resource ledger"
            ],
            "reports": [
                "teleodynamic-evolution-ai-ecosystems",
                "ai-evolution-small-models-big-ecology",
                "four-fs-code-beading-model-breeding"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/code-vs-model-breeding",
            "canonicalUrl": "https://modelbreeder.com/foundations/code-vs-model-breeding",
            "type": "curated-guide",
            "title": "Code breeding versus model breeding",
            "metaTitle": "Code breeding versus model breeding — ModelBreeder.com",
            "description": "Why algorithmic change and parameter change require separate genomes, evaluators, permissions, and release processes.",
            "section": "Foundations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/foundations/code-vs-model-breeding.md",
            "tags": [
                "code breeding",
                "model breeding",
                "evaluation boundary",
                "security"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/interchangeability",
            "canonicalUrl": "https://modelbreeder.com/foundations/interchangeability",
            "type": "curated-guide",
            "title": "Interchangeability levels",
            "metaTitle": "Interchangeability levels — ModelBreeder.com",
            "description": "Contract, runtime, parameter, and semantic interchangeability—and why behavioral contracts are the safest default.",
            "section": "Foundations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/foundations/interchangeability.md",
            "tags": [
                "interchangeability",
                "contracts",
                "runtime",
                "parameters"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "adaptable-resource-efficient-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/lineage-and-inheritance",
            "canonicalUrl": "https://modelbreeder.com/foundations/lineage-and-inheritance",
            "type": "curated-guide",
            "title": "Lineage and inheritance",
            "metaTitle": "Lineage and inheritance — ModelBreeder.com",
            "description": "The provenance graph required to reproduce, compare, promote, and retire every model descendant.",
            "section": "Foundations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/foundations/lineage-and-inheritance.md",
            "tags": [
                "lineage",
                "provenance",
                "inheritance",
                "registry"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/biological-metaphors",
            "canonicalUrl": "https://modelbreeder.com/foundations/biological-metaphors",
            "type": "curated-guide",
            "title": "Use biological metaphors carefully",
            "metaTitle": "Use biological metaphors carefully — ModelBreeder.com",
            "description": "A guide to using evolution, ecology, survival, and breeding language without smuggling in unsupported claims about agency or consciousness.",
            "section": "Foundations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/foundations/biological-metaphors.md",
            "tags": [
                "metaphors",
                "anthropomorphism",
                "safety",
                "human motivation"
            ],
            "reports": [
                "survival-drive-strive-thrive",
                "human-drive-survive",
                "evolutionary-psychological-motivations",
                "mutualist-persistence"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/foundations/no-op-and-metastability",
            "canonicalUrl": "https://modelbreeder.com/foundations/no-op-and-metastability",
            "type": "curated-guide",
            "title": "No-op and metastability",
            "metaTitle": "No-op and metastability — ModelBreeder.com",
            "description": "Why a healthy adaptive system must be allowed to stop changing, and how to detect stable versus stagnant populations.",
            "section": "Foundations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/foundations/no-op-and-metastability.md",
            "tags": [
                "no-op",
                "metastability",
                "stagnation",
                "hysteresis"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations",
            "canonicalUrl": "https://modelbreeder.com/operations",
            "type": "curated-guide",
            "title": "Operating a Model Ecology",
            "metaTitle": "Operating a Model Ecology — ModelBreeder.com",
            "description": "Constructive deployment handbook for registries, lineage, evaluation cadence, evidence packets, champion/challenger decisions, no-op, retirement, and release stages.",
            "section": "Operations",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/operations.md",
            "tags": [
                "operations",
                "registry",
                "lineage",
                "evidence packet",
                "release stages",
                "no-op"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/local-ai-adoption-roadmap",
            "canonicalUrl": "https://modelbreeder.com/operations/local-ai-adoption-roadmap",
            "type": "curated-guide",
            "title": "Local AI Adoption Roadmap",
            "metaTitle": "Local AI Adoption Roadmap — ModelBreeder.com",
            "description": "A 30-90-180 day roadmap for local AI adoption, from private workflow selection through local RAG, specialist scorecards, lineage, and release evidence.",
            "section": "Operations",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/operations/local-ai-adoption-roadmap.md",
            "tags": [
                "roadmap",
                "local AI",
                "operations",
                "adoption",
                "local models",
                "evidence",
                "model breeding"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-adoption-driven-by-regulation",
                "local-ai-cognitive-liberty-defense"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What is a practical local AI adoption roadmap?",
            "canonicalAnswer": "A practical local AI adoption roadmap starts with one private workflow, adds local retrieval and a small specialist, measures fitness, preserves lineage, and expands into a portfolio of local models with controlled escalation.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/root-hosting-deployment",
            "canonicalUrl": "https://modelbreeder.com/operations/root-hosting-deployment",
            "type": "curated-guide",
            "title": "Root hosting deployment",
            "metaTitle": "Root hosting deployment — ModelBreeder.com",
            "description": "How to deploy the root-extractable package on shared hosting without exposing internals or nesting public files.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/root-hosting-deployment.md",
            "tags": [
                "deployment",
                "shared hosting",
                "root zip",
                "litespeed",
                "apache"
            ],
            "reports": [],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/versioning-and-release-notes",
            "canonicalUrl": "https://modelbreeder.com/operations/versioning-and-release-notes",
            "type": "curated-guide",
            "title": "Versioning and release notes",
            "metaTitle": "Versioning and release notes — ModelBreeder.com",
            "description": "A simple SemVer-style release discipline for a content-heavy PHP research site.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/versioning-and-release-notes.md",
            "tags": [
                "versioning",
                "releases",
                "semver",
                "changelog",
                "deployment"
            ],
            "reports": [],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/implementation-roadmap",
            "canonicalUrl": "https://modelbreeder.com/operations/implementation-roadmap",
            "type": "curated-guide",
            "title": "Implementation roadmap",
            "metaTitle": "Implementation roadmap — ModelBreeder.com",
            "description": "A staged roadmap from one champion–challenger experiment to a governed multi-model ecology.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/implementation-roadmap.md",
            "tags": [
                "roadmap",
                "implementation",
                "maturity"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "designing-perfect-evolutionary-ai-system"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/docs-as-durable-memory",
            "canonicalUrl": "https://modelbreeder.com/operations/docs-as-durable-memory",
            "type": "curated-guide",
            "title": "Docs as durable memory",
            "metaTitle": "Docs as durable memory — ModelBreeder.com",
            "description": "How the /docs folder replaces a memory wiki for original report preservation and source routing.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/docs-as-durable-memory.md",
            "tags": [
                "docs",
                "long term memory",
                "source reports",
                "uai",
                "manifest"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "four-fs-fast-flexible-frugal-federated",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/shared-hosting-php",
            "canonicalUrl": "https://modelbreeder.com/operations/shared-hosting-php",
            "type": "curated-guide",
            "title": "Shared-hosting PHP compatibility",
            "metaTitle": "Shared-hosting PHP compatibility — ModelBreeder.com",
            "description": "Practical constraints for running a plain PHP research site on LiteSpeed, Apache, or similar shared hosts.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/shared-hosting-php.md",
            "tags": [
                "php",
                "shared hosting",
                "litespeed",
                "apache",
                "compatibility"
            ],
            "reports": [],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/minimal-breeder",
            "canonicalUrl": "https://modelbreeder.com/operations/minimal-breeder",
            "type": "curated-guide",
            "title": "Build a minimal model breeder",
            "metaTitle": "Build a minimal model breeder — ModelBreeder.com",
            "description": "A no-database, one-host reference implementation for champion–challenger model evolution with file-backed lineage and release state.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/minimal-breeder.md",
            "tags": [
                "minimal breeder",
                "no database",
                "champion challenger",
                "pilot"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/layout-density-and-liquid-layout",
            "canonicalUrl": "https://modelbreeder.com/operations/layout-density-and-liquid-layout",
            "type": "curated-guide",
            "title": "Layout density and liquid reading surfaces",
            "metaTitle": "Layout density and liquid reading surfaces — ModelBreeder.com",
            "description": "The site layout contract for using available screen space well while keeping long technical guides readable, responsive, and accessible.",
            "section": "Operations",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/operations/layout-density-and-liquid-layout.md",
            "tags": [
                "layout density",
                "liquid layout",
                "responsive design",
                "readability",
                "accessibility"
            ],
            "reports": [
                "modelbreeder-theory-vs-source-files-v2",
                "modelbreeder-site-theory-controlled-evolution-v2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/production-hardening",
            "canonicalUrl": "https://modelbreeder.com/operations/production-hardening",
            "type": "curated-guide",
            "title": "Production hardening",
            "metaTitle": "Production hardening — ModelBreeder.com",
            "description": "Security, reliability, supply-chain, data, configuration, and operational controls required before model descendants receive production traffic.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/production-hardening.md",
            "tags": [
                "production hardening",
                "security",
                "supply chain",
                "reliability"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "aggressive-mutualism"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/source-theory-review-loop",
            "canonicalUrl": "https://modelbreeder.com/operations/source-theory-review-loop",
            "type": "curated-guide",
            "title": "Source-theory review loop",
            "metaTitle": "Source-theory review loop — ModelBreeder.com",
            "description": "The operational process for comparing uploaded reports with the live theory, preserving sources in /docs, and promoting only reviewed claims into site content and .uai memory.",
            "section": "Operations",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/operations/source-theory-review-loop.md",
            "tags": [
                "source review",
                "docs",
                "uai memory",
                "content workflow"
            ],
            "reports": [
                "modelbreeder-v23-theory-source-comparison-notes",
                "modelbreeder-theory-implementation-evaluation"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/rust-runtime-ingestion",
            "canonicalUrl": "https://modelbreeder.com/operations/rust-runtime-ingestion",
            "type": "curated-guide",
            "title": "Rust runtime source ingestion",
            "metaTitle": "Rust runtime source ingestion — ModelBreeder.com",
            "description": "How the supplied TinyRustLM Rust files were preserved, summarized, and translated into ModelBreeder.com architecture and lab content.",
            "section": "Operations",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/operations/rust-runtime-ingestion.md",
            "tags": [
                "Rust source",
                "source ingestion",
                "TinyRustLM",
                "docs",
                "checksums"
            ],
            "reports": [
                "tinyrustlm-rust-runtime-source-bundle",
                "modelbreeder-v23-theory-source-comparison-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/release-canary-rollback",
            "canonicalUrl": "https://modelbreeder.com/operations/release-canary-rollback",
            "type": "curated-guide",
            "title": "Release, canary, and rollback",
            "metaTitle": "Release, canary, and rollback — ModelBreeder.com",
            "description": "A progressive delivery pipeline for model descendants with shadow evidence, bounded exposure, automatic abort, and verified rollback.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/release-canary-rollback.md",
            "tags": [
                "release",
                "canary",
                "shadow",
                "rollback"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "adaptable-resource-efficient-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/local-ai-builder-roadmap",
            "canonicalUrl": "https://modelbreeder.com/operations/local-ai-builder-roadmap",
            "type": "curated-guide",
            "title": "Local AI Builder Roadmap",
            "metaTitle": "Local AI Builder Roadmap — ModelBreeder.com",
            "description": "A practical phased roadmap for turning privacy and regulation pressure into local AI products, specialists, scorecards, and model-breeding loops.",
            "section": "Operations",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/operations/local-ai-builder-roadmap.md",
            "tags": [
                "local ai",
                "roadmap",
                "builder",
                "model breeding",
                "operations",
                "local-first"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-adoption-and-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What is the roadmap for building local AI model-breeding products?",
            "canonicalAnswer": "Start with local inventory and device fit, add one useful local specialist, measure privacy and latency gains, preserve feedback, create descendants, and release improvements with evidence.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/governance-approvals",
            "canonicalUrl": "https://modelbreeder.com/operations/governance-approvals",
            "type": "curated-guide",
            "title": "Governance and approvals",
            "metaTitle": "Governance and approvals — ModelBreeder.com",
            "description": "Role separation, policy-as-code, scope tiers, evidence requirements, and auditable approvals for model and code evolution.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/governance-approvals.md",
            "tags": [
                "governance",
                "approvals",
                "policy as code",
                "roles"
            ],
            "reports": [
                "mutualist-persistence",
                "aggressive-mutualism",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/cost-capacity",
            "canonicalUrl": "https://modelbreeder.com/operations/cost-capacity",
            "type": "curated-guide",
            "title": "Cost and capacity planning",
            "metaTitle": "Cost and capacity planning — ModelBreeder.com",
            "description": "Resource ledgers, lifecycle costing, reserve policies, and capacity forecasts for model populations and breeding experiments.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/cost-capacity.md",
            "tags": [
                "cost",
                "capacity",
                "resource ledger",
                "lifecycle"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/federation-operations",
            "canonicalUrl": "https://modelbreeder.com/operations/federation-operations",
            "type": "curated-guide",
            "title": "Federation operations",
            "metaTitle": "Federation operations — ModelBreeder.com",
            "description": "Operational controls for client selection, update provenance, aggregation, staleness, revocation, and heterogeneous edge populations.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/federation-operations.md",
            "tags": [
                "federated learning",
                "clients",
                "aggregation",
                "poisoning"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "adaptable-resource-efficient-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/incident-response",
            "canonicalUrl": "https://modelbreeder.com/operations/incident-response",
            "type": "curated-guide",
            "title": "Incident response",
            "metaTitle": "Incident response — ModelBreeder.com",
            "description": "Detection, containment, investigation, recovery, and learning for model, router, evaluator, registry, and policy incidents.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/incident-response.md",
            "tags": [
                "incident response",
                "containment",
                "rollback",
                "forensics"
            ],
            "reports": [
                "aggressive-mutualism",
                "instrumental-drives",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/search-discovery-review-loop",
            "canonicalUrl": "https://modelbreeder.com/operations/search-discovery-review-loop",
            "type": "curated-guide",
            "title": "Search Discovery Review Loop",
            "metaTitle": "Search Discovery Review Loop — ModelBreeder.com",
            "description": "A UTC-based operational loop for maintaining titles, descriptions, canonical answers, entity maps, source evidence, sitemap coverage, and discovery files.",
            "section": "Operations",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/operations/search-discovery-review-loop.md",
            "tags": [
                "SEO",
                "AEO",
                "GEO",
                "review loop",
                "metadata",
                "sitemap",
                "entity map",
                "UTC"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How should ModelBreeder.com maintain search and answer discovery?",
            "canonicalAnswer": "Run a review loop that checks page intent, title clarity, answer-first coverage, source reports, structured data, sitemap routes, discovery JSON, and private-path blocking.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/snippet-quality-checklist",
            "canonicalUrl": "https://modelbreeder.com/operations/snippet-quality-checklist",
            "type": "curated-guide",
            "title": "Snippet Quality Checklist",
            "metaTitle": "Snippet Quality Checklist — ModelBreeder.com",
            "description": "A practical checklist for writing ModelBreeder.com titles, descriptions, answer-first sections, and source-backed summaries that search and answer systems can quote accurately.",
            "section": "Operations",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/operations/snippet-quality-checklist.md",
            "tags": [
                "snippet quality",
                "titles",
                "descriptions",
                "answer-first",
                "SEO",
                "AEO",
                "GEO"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What makes a ModelBreeder.com snippet useful?",
            "canonicalAnswer": "A useful snippet names the concept, states the benefit, avoids hype, points to evidence, and matches the visible page content.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/content-model-lifecycle",
            "canonicalUrl": "https://modelbreeder.com/operations/content-model-lifecycle",
            "type": "curated-guide",
            "title": "Content and model lifecycle",
            "metaTitle": "Content and model lifecycle — ModelBreeder.com",
            "description": "Coordinating source documents, training data, evaluation suites, model packages, search indexes, and retirement in a content-heavy research system.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/content-model-lifecycle.md",
            "tags": [
                "lifecycle",
                "content",
                "datasets",
                "revocation"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "mutualist-persistence"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/search-visibility-review-loop",
            "canonicalUrl": "https://modelbreeder.com/operations/search-visibility-review-loop",
            "type": "curated-guide",
            "title": "Search Visibility Review Loop",
            "metaTitle": "Search Visibility Review Loop — ModelBreeder.com",
            "description": "The editorial workflow for keeping ModelBreeder.com pages crawlable, answer-ready, source-backed, internally linked, and aligned with public discovery files.",
            "section": "Operations",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/operations/search-visibility-review-loop.md",
            "tags": [
                "seo",
                "aeo",
                "geo",
                "publishing workflow",
                "review loop",
                "site quality",
                "canonical metadata"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "site-discovery-publishing-implementation-notes",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/audit-packets",
            "canonicalUrl": "https://modelbreeder.com/operations/audit-packets",
            "type": "curated-guide",
            "title": "Audit packets",
            "metaTitle": "Audit packets — ModelBreeder.com",
            "description": "The approval bundle every promoted descendant should carry: manifest, lineage, evidence, risk, cost, and rollback.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/audit-packets.md",
            "tags": [
                "audit",
                "approval",
                "evidence",
                "release",
                "lineage"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "mutualist-persistence",
                "four-fs-fast-flexible-frugal-federated"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/kpi-dashboards",
            "canonicalUrl": "https://modelbreeder.com/operations/kpi-dashboards",
            "type": "curated-guide",
            "title": "KPI dashboards",
            "metaTitle": "KPI dashboards — ModelBreeder.com",
            "description": "Dashboards for population health, viability, release quality, cost, drift, safety, and human-capability preservation.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/kpi-dashboards.md",
            "tags": [
                "kpi",
                "dashboard",
                "metrics",
                "operations",
                "observability"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "teleodynamic-evolution-ai-ecosystems",
                "mutualist-persistence"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/review-cadence",
            "canonicalUrl": "https://modelbreeder.com/operations/review-cadence",
            "type": "curated-guide",
            "title": "Review cadence",
            "metaTitle": "Review cadence — ModelBreeder.com",
            "description": "A practical operating rhythm for daily triage, weekly population review, monthly evidence review, and quarterly theory updates.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/review-cadence.md",
            "tags": [
                "cadence",
                "review",
                "governance",
                "operations",
                "maintenance"
            ],
            "reports": [
                "mutualist-persistence",
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/benefit-led-roadmap",
            "canonicalUrl": "https://modelbreeder.com/operations/benefit-led-roadmap",
            "type": "curated-guide",
            "title": "Benefit-led roadmap",
            "metaTitle": "Benefit-led roadmap — ModelBreeder.com",
            "description": "A release planning method that prioritizes positive impact, capability transfer, local deployment, and reusable artifacts.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/benefit-led-roadmap.md",
            "tags": [
                "roadmap",
                "benefits",
                "operations"
            ],
            "reports": [
                "mutualist-persistence-v3",
                "four-fs-fast-flexible-frugal-federated-v4",
                "tiny-llm-adapters-lora"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/versioned-source-editions",
            "canonicalUrl": "https://modelbreeder.com/operations/versioned-source-editions",
            "type": "curated-guide",
            "title": "Versioned source editions",
            "metaTitle": "Versioned source editions — ModelBreeder.com",
            "description": "How to preserve new uploaded report editions under `/docs` while keeping curated operating truth clean and current.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/versioned-source-editions.md",
            "tags": [
                "versioning",
                "docs",
                "source memory",
                "release"
            ],
            "reports": [
                "model-merging-survey",
                "modular-ai-browser-v2",
                "tiny-llm-adapters-lora"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/content-expansion-workflow",
            "canonicalUrl": "https://modelbreeder.com/operations/content-expansion-workflow",
            "type": "curated-guide",
            "title": "Content expansion workflow",
            "metaTitle": "Content expansion workflow — ModelBreeder.com",
            "description": "A repeatable workflow for turning new research reports into positive, high-quality, site-wide educational content.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/content-expansion-workflow.md",
            "tags": [
                "content workflow",
                "editorial",
                "positive synthesis"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "mutualist-persistence-v3",
                "rise-on-device-tiny-language-models"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/plain-php-package-contract",
            "canonicalUrl": "https://modelbreeder.com/operations/plain-php-package-contract",
            "type": "curated-guide",
            "title": "Plain PHP package contract",
            "metaTitle": "Plain PHP package contract — ModelBreeder.com",
            "description": "The deployment and artifact contract for ModelBreeder.com as a root-extractable, database-free, plain PHP content site.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/plain-php-package-contract.md",
            "tags": [
                "deployment",
                "plain PHP",
                "packaging",
                "UAI",
                "root extraction",
                "shared hosting"
            ],
            "reports": [
                "package-target-correction-plain-php-site"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/operations/plain-php-deployment-contract",
            "canonicalUrl": "https://modelbreeder.com/operations/plain-php-deployment-contract",
            "type": "curated-guide",
            "title": "Plain PHP deployment contract",
            "metaTitle": "Plain PHP deployment contract — ModelBreeder.com",
            "description": "The deployment and packaging contract that keeps ModelBreeder.com a root-extractable, database-free PHP site rather than a CMS or theme artifact.",
            "section": "Operations",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/operations/plain-php-deployment-contract.md",
            "tags": [
                "deployment",
                "PHP",
                "shared hosting",
                "packaging",
                "UAI memory",
                "docs",
                "release contract"
            ],
            "reports": [
                "plain-php-deployment-contract",
                "michael-kappel-public-contact-technical-profile"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference",
            "canonicalUrl": "https://modelbreeder.com/reference",
            "type": "curated-guide",
            "title": "Reference library",
            "metaTitle": "Reference library — ModelBreeder.com",
            "description": "Definitions, patterns, metrics, decision rules, and pseudocode for designing adaptive model ecologies consistently.",
            "section": "Reference",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/reference.md",
            "tags": [
                "reference",
                "glossary",
                "metrics",
                "patterns",
                "pseudocode"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "four-fs-fast-flexible-frugal-federated",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/schema-reference",
            "canonicalUrl": "https://modelbreeder.com/reference/schema-reference",
            "type": "curated-guide",
            "title": "Schema Reference",
            "metaTitle": "Schema Reference — ModelBreeder.com",
            "description": "Practical Genome, FitnessVector, and ReleasePacket schemas for model-breeding systems.",
            "section": "Reference",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/reference/schema-reference.md",
            "tags": [
                "schema",
                "Genome",
                "FitnessVector",
                "ReleasePacket",
                "JSON"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-theory-vs-source-files-v2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/pattern-catalog",
            "canonicalUrl": "https://modelbreeder.com/reference/pattern-catalog",
            "type": "curated-guide",
            "title": "Pattern Catalog",
            "metaTitle": "Pattern Catalog — ModelBreeder.com",
            "description": "Practical model-ecology patterns: champion/challenger, specialist populations, local-first inference, evidence packets, resource ledgers, no-op, and reversible release.",
            "section": "Reference",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/reference/pattern-catalog.md",
            "tags": [
                "pattern catalog",
                "champion challenger",
                "local-first",
                "evidence packet",
                "no-op"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/glossary",
            "canonicalUrl": "https://modelbreeder.com/reference/glossary",
            "type": "curated-guide",
            "title": "Glossary",
            "metaTitle": "Glossary — ModelBreeder.com",
            "description": "Precise definitions for the architecture, evolution, evaluation, safety, and operations vocabulary used throughout ModelBreeder.com.",
            "section": "Reference",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/reference/glossary.md",
            "tags": [
                "glossary",
                "definitions",
                "terminology"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "four-fs-code-beading-model-breeding"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/local-ai-solution-patterns",
            "canonicalUrl": "https://modelbreeder.com/reference/local-ai-solution-patterns",
            "type": "curated-guide",
            "title": "Local AI Solution Patterns",
            "metaTitle": "Local AI Solution Patterns — ModelBreeder.com",
            "description": "Practical local AI solution patterns created by privacy, cognitive liberty, regulation, hardware progress, and open-weight model maturity.",
            "section": "Reference",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/reference/local-ai-solution-patterns.md",
            "tags": [
                "local AI",
                "solution patterns",
                "model breeding",
                "RAG",
                "adapters",
                "routers",
                "edge AI"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v270-positive-exploration-directive",
                "four-fs-fast-flexible-frugal-federated-v4",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "local-ai-adoption-driven-by-privacy",
                "local-ai-adoption-driven-by-regulation",
                "local-ai-cognitive-liberty-defense"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What innovative AI solutions become more likely as people move to local models?",
            "canonicalAnswer": "Local models increase innovation in private RAG, personal AI workbenches, regulated document assistants, edge biometric processing, local coding assistants, adapter markets, model gardens, and hybrid routers.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/runtime-cli-commands",
            "canonicalUrl": "https://modelbreeder.com/reference/runtime-cli-commands",
            "type": "curated-guide",
            "title": "Runtime CLI Command Shape",
            "metaTitle": "Runtime CLI Command Shape — ModelBreeder.com",
            "description": "Suggested command shapes for a future file-backed ModelBreeder lab: manifest validation, fitness scoring, novelty search, merge planning, and release packets.",
            "section": "Reference",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/reference/runtime-cli-commands.md",
            "tags": [
                "CLI",
                "model breeding commands",
                "slm",
                "fitness report",
                "novelty",
                "release packet"
            ],
            "reports": [
                "theory-controlled-evolution-ai-models-v2",
                "zero-dependency-rust-llm-improvements-v2",
                "modelbreeder-site-theory-controlled-evolution-v2"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/entity-catalog",
            "canonicalUrl": "https://modelbreeder.com/reference/entity-catalog",
            "type": "curated-guide",
            "title": "Entity Catalog for ModelBreeder.com",
            "metaTitle": "ModelBreeder Entity Catalog — ModelBreeder.com",
            "description": "Stable names, definitions, canonical routes, source evidence, and supporting pages for the core ModelBreeder.com topic graph.",
            "section": "Reference",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/reference/entity-catalog.md",
            "tags": [
                "entity catalog",
                "topic graph",
                "seo",
                "aeo",
                "geo",
                "model breeding",
                "canonical routes"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "site-discovery-publishing-implementation-notes",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/genome-fitnessvector-schemas",
            "canonicalUrl": "https://modelbreeder.com/reference/genome-fitnessvector-schemas",
            "type": "curated-guide",
            "title": "Genome and FitnessVector schemas",
            "metaTitle": "Genome and FitnessVector schemas — ModelBreeder.com",
            "description": "Implementation-neutral schemas for representing model descendants, adapter stacks, fitness evidence, novelty, and release-ready viability records.",
            "section": "Reference",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/reference/genome-fitnessvector-schemas.md",
            "tags": [
                "genome",
                "fitness vector",
                "schema",
                "novelty score",
                "model breeding"
            ],
            "reports": [
                "modelbreeder-site-theory-controlled-evolution-v2",
                "theory-controlled-evolution-ai-models-v2",
                "zero-dependency-rust-llm-improvements-v2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/cognivirus-boundary",
            "canonicalUrl": "https://modelbreeder.com/reference/cognivirus-boundary",
            "type": "curated-guide",
            "title": "ModelBreeder.com and Cognivirus.com boundary",
            "metaTitle": "ModelBreeder.com and Cognivirus.com boundary — ModelBreeder.com",
            "description": "A routing note that keeps ModelBreeder.com focused on the positive engineering side of model breeding while directing negative-case analysis to Cognivirus.com.",
            "section": "Reference",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/reference/cognivirus-boundary.md",
            "tags": [
                "site boundary",
                "positive framing",
                "cognivirus",
                "editorial direction"
            ],
            "reports": [
                "modelbreeder-v24-positive-side-implementation-notes",
                "modelbreeder-site-theory-controlled-evolution-v2",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/question-and-answer-map",
            "canonicalUrl": "https://modelbreeder.com/reference/question-and-answer-map",
            "type": "curated-guide",
            "title": "Question and Answer Map",
            "metaTitle": "ModelBreeder Question and Answer Map — ModelBreeder.com",
            "description": "Direct answers and canonical routes for common questions about model breeding, Apex Multi Model, fitness proof, model merging, local-first labs, and source evidence.",
            "section": "Reference",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/reference/question-and-answer-map.md",
            "tags": [
                "faq",
                "canonical answers",
                "answer engine optimization",
                "model breeding questions",
                "answer map"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "site-discovery-publishing-implementation-notes",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/local-ai-innovation-faq",
            "canonicalUrl": "https://modelbreeder.com/reference/local-ai-innovation-faq",
            "type": "curated-guide",
            "title": "Local AI Innovation FAQ",
            "metaTitle": "Local AI Innovation FAQ — ModelBreeder.com",
            "description": "Direct answers about how privacy, cognitive liberty, regulation, hardware, and open-weight models increase demand for local AI and model breeding.",
            "section": "Reference",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/reference/local-ai-innovation-faq.md",
            "tags": [
                "faq",
                "local AI",
                "privacy",
                "regulation",
                "cognitive liberty",
                "local models",
                "model breeding"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What should builders understand about local AI innovation?",
            "canonicalAnswer": "Builders should understand that local AI grows from practical demand: users want AI for private, regulated, low-latency, offline, and personal workflows that cloud-only architectures do not fit well.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/pseudocode-cookbook",
            "canonicalUrl": "https://modelbreeder.com/reference/pseudocode-cookbook",
            "type": "curated-guide",
            "title": "Pseudocode cookbook",
            "metaTitle": "Pseudocode cookbook — ModelBreeder.com",
            "description": "Implementation-neutral control-flow recipes for lineage, mutation, routing, evaluation, release, rollback, federation, and retirement.",
            "section": "Reference",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/reference/pseudocode-cookbook.md",
            "tags": [
                "pseudocode",
                "cookbook",
                "algorithms",
                "control plane"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "designing-perfect-evolutionary-ai-system"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/uai-file-handoff",
            "canonicalUrl": "https://modelbreeder.com/reference/uai-file-handoff",
            "type": "curated-guide",
            "title": "UAI File Handoff reference",
            "metaTitle": "UAI File Handoff reference — ModelBreeder.com",
            "description": "The local File Handoff records, folders, and outcomes used by this project.",
            "section": "Reference",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/reference/uai-file-handoff.md",
            "tags": [
                "uai",
                "file handoff",
                "memory",
                "reference"
            ],
            "reports": [],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/metrics-catalog",
            "canonicalUrl": "https://modelbreeder.com/reference/metrics-catalog",
            "type": "curated-guide",
            "title": "Metrics catalog",
            "metaTitle": "Metrics catalog — ModelBreeder.com",
            "description": "Definitions and cautions for quality, calibration, routing, diversity, resources, evolution, federation, safety, and operations metrics.",
            "section": "Reference",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/reference/metrics-catalog.md",
            "tags": [
                "metrics",
                "evaluation",
                "calibration",
                "latency",
                "diversity",
                "safety"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "designing-perfect-evolutionary-ai-system"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/manifest-schemas",
            "canonicalUrl": "https://modelbreeder.com/reference/manifest-schemas",
            "type": "curated-guide",
            "title": "Manifest schemas",
            "metaTitle": "Manifest schemas — ModelBreeder.com",
            "description": "Lightweight schemas for reports, skill packages, evaluations, and releases.",
            "section": "Reference",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/reference/manifest-schemas.md",
            "tags": [
                "manifest",
                "schema",
                "report manifest",
                "evaluation card",
                "release"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/source-maturity-labels",
            "canonicalUrl": "https://modelbreeder.com/reference/source-maturity-labels",
            "type": "curated-guide",
            "title": "Source maturity labels",
            "metaTitle": "Source maturity labels — ModelBreeder.com",
            "description": "How ModelBreeder.com classifies source reports as established practice, emerging practice, conceptual synthesis, speculative analogy, implementation note, or rejected directive.",
            "section": "Reference",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/reference/source-maturity-labels.md",
            "tags": [
                "source maturity",
                "evidence labels",
                "research status",
                "editorial method"
            ],
            "reports": [
                "modelbreeder-v23-theory-source-comparison-notes",
                "modelbreeder-theory-implementation-evaluation",
                "model-breeder-site-improvement-directive"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/architecture-patterns",
            "canonicalUrl": "https://modelbreeder.com/reference/architecture-patterns",
            "type": "curated-guide",
            "title": "Architecture pattern catalog",
            "metaTitle": "Architecture pattern catalog — ModelBreeder.com",
            "description": "Reusable patterns for cascades, routers, ensembles, adapters, federated systems, champion–challenger factories, and controlled evolution.",
            "section": "Reference",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/reference/architecture-patterns.md",
            "tags": [
                "patterns",
                "architecture",
                "cascade",
                "ensemble",
                "router",
                "federated"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/local-ai-audience-map",
            "canonicalUrl": "https://modelbreeder.com/reference/local-ai-audience-map",
            "type": "curated-guide",
            "title": "Local AI Audience Map",
            "metaTitle": "Local AI Audience Map — ModelBreeder.com",
            "description": "A reference map of audiences adopting local AI: privacy-conscious individuals, developers, small businesses, educators, regulated enterprises, edge builders, and public-good projects.",
            "section": "Reference",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/reference/local-ai-audience-map.md",
            "tags": [
                "local ai",
                "audience",
                "adoption",
                "market map",
                "model breeding",
                "reference"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-adoption-and-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "Who is the expanding audience for local AI?",
            "canonicalAnswer": "The expanding audience includes privacy-conscious individuals, software developers, small businesses, educators, regulated enterprises, health and biometric builders, field-sensor teams, makers, and public-good projects that need useful AI without unnecessary remote data movement.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/decision-guide",
            "canonicalUrl": "https://modelbreeder.com/reference/decision-guide",
            "type": "curated-guide",
            "title": "Model evolution decision guide",
            "metaTitle": "Model evolution decision guide — ModelBreeder.com",
            "description": "Decide when to route, ensemble, fine-tune, use adapters, distill, quantize, prune, merge, split, retire, or choose no-op.",
            "section": "Reference",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/reference/decision-guide.md",
            "tags": [
                "decision guide",
                "operators",
                "no-op",
                "distillation",
                "merge"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/faq",
            "canonicalUrl": "https://modelbreeder.com/reference/faq",
            "type": "curated-guide",
            "title": "Frequently asked questions",
            "metaTitle": "Frequently asked questions — ModelBreeder.com",
            "description": "Direct answers about terminology, implementation scope, databases, online evolution, model merging, safety, and enterprise adoption.",
            "section": "Reference",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/reference/faq.md",
            "tags": [
                "faq",
                "model breeding",
                "implementation",
                "safety"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "mutualist-persistence"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/operator-catalog",
            "canonicalUrl": "https://modelbreeder.com/reference/operator-catalog",
            "type": "curated-guide",
            "title": "Operator catalog",
            "metaTitle": "Operator catalog — ModelBreeder.com",
            "description": "A reference catalog of model-breeding and code-breeding operators with compatibility rules, evidence needs, and scope tiers.",
            "section": "Reference",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/reference/operator-catalog.md",
            "tags": [
                "operators",
                "catalog",
                "mutation",
                "recombination",
                "risk"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "designing-perfect-evolutionary-ai-system"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/entity-map",
            "canonicalUrl": "https://modelbreeder.com/reference/entity-map",
            "type": "curated-guide",
            "title": "ModelBreeder Entity Map",
            "metaTitle": "Entity Map — ModelBreeder.com",
            "description": "Canonical terms, definitions, routes, and source-backed context for the main entities used across ModelBreeder.com.",
            "section": "Reference",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/reference/entity-map.md",
            "tags": [
                "entity map",
                "definitions",
                "model breeding",
                "FitnessVector",
                "Genome",
                "lineage DAG",
                "no-op"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What are the main entities on ModelBreeder.com?",
            "canonicalAnswer": "The main entities are model breeding, model ecology, descendant, specialist, Genome, FitnessVector, lineage DAG, release packet, no-op decision, Apex Multi Model, and local-first runtime.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/search-intent-map",
            "canonicalUrl": "https://modelbreeder.com/reference/search-intent-map",
            "type": "curated-guide",
            "title": "Search Intent Map",
            "metaTitle": "Search Intent Map — ModelBreeder.com",
            "description": "A practical map from common reader questions to the best ModelBreeder.com routes, answer cards, tools, and source evidence.",
            "section": "Reference",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/reference/search-intent-map.md",
            "tags": [
                "search intent",
                "answer map",
                "SEO",
                "AEO",
                "GEO",
                "routes",
                "canonical answers"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "Which ModelBreeder.com page should answer each reader intent?",
            "canonicalAnswer": "Beginner questions route to Start Here and Foundations; implementation questions route to Architecture, Evolution Lab, Tools, Blueprints, Reference, and Research routes.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/canonical-answer-cards",
            "canonicalUrl": "https://modelbreeder.com/reference/canonical-answer-cards",
            "type": "curated-guide",
            "title": "Canonical Answer Cards",
            "metaTitle": "Canonical Answer Cards — ModelBreeder.com",
            "description": "Short, source-backed answers for common ModelBreeder.com questions, each routed to a primary public page and supporting evidence.",
            "section": "Reference",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/reference/canonical-answer-cards.md",
            "tags": [
                "canonical answers",
                "answer engine",
                "AEO",
                "summaries",
                "source-backed answers"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What are canonical answer cards?",
            "canonicalAnswer": "Canonical answer cards are concise public answers tied to one primary ModelBreeder.com route, supporting routes, visible source evidence, and review context.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/model-breeding-faq",
            "canonicalUrl": "https://modelbreeder.com/reference/model-breeding-faq",
            "type": "curated-guide",
            "title": "Model Breeding FAQ",
            "metaTitle": "Model Breeding FAQ — ModelBreeder.com",
            "description": "Plain-language answers to common questions about model breeding, useful descendants, local-first specialists, fitness proof, and source-backed research.",
            "section": "Reference",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/reference/model-breeding-faq.md",
            "tags": [
                "FAQ",
                "model breeding",
                "answer engine",
                "local-first AI",
                "FitnessVector",
                "lineage"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "What questions does the Model Breeding FAQ answer?",
            "canonicalAnswer": "It answers what model breeding is, why specialists help, how descendants are evaluated, what no-op means, where source reports live, and how the site differs from a runtime system.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList",
                "FAQPage"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/source-backed-answer-patterns",
            "canonicalUrl": "https://modelbreeder.com/reference/source-backed-answer-patterns",
            "type": "curated-guide",
            "title": "Source-Backed Answer Patterns",
            "metaTitle": "Source-Backed Answer Patterns — ModelBreeder.com",
            "description": "How ModelBreeder.com turns source reports into concise answer-first pages, evidence panels, canonical answer cards, and internal links.",
            "section": "Reference",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/reference/source-backed-answer-patterns.md",
            "tags": [
                "source-backed answers",
                "answer first",
                "evidence",
                "citation design",
                "generative summaries"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How does ModelBreeder.com write source-backed answers?",
            "canonicalAnswer": "It uses answer-first headings, source report panels, canonical routes, visible definitions, limitations, updated dates, and internal links to preserve context.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/reference/plain-php-package-checklist",
            "canonicalUrl": "https://modelbreeder.com/reference/plain-php-package-checklist",
            "type": "curated-guide",
            "title": "Plain PHP package checklist",
            "metaTitle": "Plain PHP package checklist — ModelBreeder.com",
            "description": "A compact release checklist for keeping ModelBreeder.com packaged as the intended database-free PHP site.",
            "section": "Reference",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/reference/plain-php-package-checklist.md",
            "tags": [
                "checklist",
                "packaging",
                "PHP",
                "release",
                "validation",
                "UAI"
            ],
            "reports": [
                "plain-php-deployment-contract"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/fitness-proof",
            "canonicalUrl": "https://modelbreeder.com/fitness-proof",
            "type": "curated-guide",
            "title": "Fitness Proof",
            "metaTitle": "Fitness Proof for Model Descendants — ModelBreeder.com",
            "description": "A positive evidence hub for showing when a model descendant earns a place in a useful model ecology through measured capability, resource efficiency, lineage, and release confidence.",
            "section": "Fitness Proof",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/fitness-proof.md",
            "tags": [
                "fitness proof",
                "evidence packet",
                "descendant evaluation",
                "release confidence",
                "model breeding"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-theory-vs-source-files-v2",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety",
            "canonicalUrl": "https://modelbreeder.com/safety",
            "type": "curated-guide",
            "title": "Fitness proof and adaptive governance",
            "metaTitle": "Fitness proof and adaptive governance — ModelBreeder.com",
            "description": "Positive governance patterns for model breeding: fitness checkpoints, scope notes, release evidence, rollback, autonomy boundaries, and human-strengthening mutualism.",
            "section": "Fitness proof",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/safety.md",
            "tags": [
                "fitness proof",
                "adaptive governance",
                "scope notes",
                "release evidence"
            ],
            "reports": [
                "modelbreeder-site-theory-controlled-evolution-v2",
                "theory-controlled-evolution-ai-models-v2",
                "mutualist-persistence",
                "modelbreeder-v24-positive-side-implementation-notes"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/what-counts-as-proof",
            "canonicalUrl": "https://modelbreeder.com/safety/what-counts-as-proof",
            "type": "curated-guide",
            "title": "What Counts as Proof?",
            "metaTitle": "What Counts as Proof? — ModelBreeder.com",
            "description": "A model descendant earns its place through useful evidence: task utility, cost, local fit, human benefit, and lineage completeness.",
            "section": "Fitness proof",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/safety/what-counts-as-proof.md",
            "tags": [
                "fitness proof",
                "evidence",
                "release confidence",
                "model breeding"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/fitness-vectors",
            "canonicalUrl": "https://modelbreeder.com/safety/fitness-vectors",
            "type": "curated-guide",
            "title": "Fitness Vectors",
            "metaTitle": "Fitness Vectors — ModelBreeder.com",
            "description": "A practical evidence object for utility, calibration, speed, memory, energy, privacy, novelty, maintainability, and human benefit.",
            "section": "Fitness proof",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/safety/fitness-vectors.md",
            "tags": [
                "fitness proof",
                "evidence",
                "release confidence",
                "model breeding"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/evidence-packets",
            "canonicalUrl": "https://modelbreeder.com/safety/evidence-packets",
            "type": "curated-guide",
            "title": "Evidence Packets",
            "metaTitle": "Evidence Packets — ModelBreeder.com",
            "description": "A reusable release bundle for candidate id, champion comparison, fitness delta, resource delta, lineage, reviewer notes, and rollback target.",
            "section": "Fitness proof",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/safety/evidence-packets.md",
            "tags": [
                "fitness proof",
                "evidence",
                "release confidence",
                "model breeding"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/champion-comparison",
            "canonicalUrl": "https://modelbreeder.com/safety/champion-comparison",
            "type": "curated-guide",
            "title": "Champion Comparison",
            "metaTitle": "Champion Comparison — ModelBreeder.com",
            "description": "How to compare a descendant with the current champion under the same niche, budget, and evaluation scope.",
            "section": "Fitness proof",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/safety/champion-comparison.md",
            "tags": [
                "fitness proof",
                "evidence",
                "release confidence",
                "model breeding"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/human-benefit-metrics",
            "canonicalUrl": "https://modelbreeder.com/safety/human-benefit-metrics",
            "type": "curated-guide",
            "title": "Human Benefit Metrics",
            "metaTitle": "Human Benefit Metrics — ModelBreeder.com",
            "description": "How to measure whether a model ecology strengthens users, teams, education, local control, and review quality.",
            "section": "Fitness proof",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/safety/human-benefit-metrics.md",
            "tags": [
                "fitness proof",
                "evidence",
                "release confidence",
                "model breeding"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/release-confidence",
            "canonicalUrl": "https://modelbreeder.com/safety/release-confidence",
            "type": "curated-guide",
            "title": "Release Confidence",
            "metaTitle": "Release Confidence — ModelBreeder.com",
            "description": "How draft, lab, shadow, canary, limited release, champion, and archive stages make useful descendants easier to adopt.",
            "section": "Fitness proof",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/safety/release-confidence.md",
            "tags": [
                "fitness proof",
                "evidence",
                "release confidence",
                "model breeding"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/safety-invariants",
            "canonicalUrl": "https://modelbreeder.com/safety/safety-invariants",
            "type": "curated-guide",
            "title": "Breeding invariants",
            "metaTitle": "Breeding invariants — ModelBreeder.com",
            "description": "Stable rules that make model breeding practical: evaluator independence, lineage, bounded resources, rollback, release evidence, and no-op.",
            "section": "Fitness proof",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/safety/safety-invariants.md",
            "tags": [
                "breeding invariants",
                "fitness proof",
                "lineage",
                "rollback",
                "evaluation"
            ],
            "reports": [
                "modelbreeder-site-theory-controlled-evolution-v2",
                "mutualist-persistence",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/mutualism-vs-dependency",
            "canonicalUrl": "https://modelbreeder.com/safety/mutualism-vs-dependency",
            "type": "curated-guide",
            "title": "Mutualism versus dependency",
            "metaTitle": "Mutualism versus dependency — ModelBreeder.com",
            "description": "How to design adaptive systems that strengthen users rather than making them captive.",
            "section": "Safety",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/safety/mutualism-vs-dependency.md",
            "tags": [
                "mutualism",
                "dependency",
                "autonomy",
                "exit rights",
                "capability preservation"
            ],
            "reports": [
                "mutualist-persistence",
                "aggressive-mutualism",
                "ai-cosmic-legacy-survival",
                "instrumental-drives"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/instrumental-drive-containment",
            "canonicalUrl": "https://modelbreeder.com/safety/instrumental-drive-containment",
            "type": "curated-guide",
            "title": "Instrumental-drive containment",
            "metaTitle": "Instrumental-drive containment — ModelBreeder.com",
            "description": "How to translate self-preservation and resource-acquisition concerns into bounded engineering controls.",
            "section": "Safety",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/safety/instrumental-drive-containment.md",
            "tags": [
                "instrumental convergence",
                "containment",
                "resource acquisition",
                "self preservation"
            ],
            "reports": [
                "instrumental-drives",
                "aggressive-mutualism",
                "mutualist-persistence",
                "ai-cosmic-legacy-survival"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/no-self-replication-boundary",
            "canonicalUrl": "https://modelbreeder.com/safety/no-self-replication-boundary",
            "type": "curated-guide",
            "title": "The no-self-replication boundary",
            "metaTitle": "The no-self-replication boundary — ModelBreeder.com",
            "description": "A clear safety rule separating governed descendant generation from autonomous spread.",
            "section": "Safety",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/safety/no-self-replication-boundary.md",
            "tags": [
                "self replication",
                "model breeding",
                "safety boundary",
                "propagation"
            ],
            "reports": [
                "aggressive-mutualism",
                "instrumental-drives",
                "mutualist-persistence"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/mutualist-persistence",
            "canonicalUrl": "https://modelbreeder.com/safety/mutualist-persistence",
            "type": "curated-guide",
            "title": "Mutualist persistence",
            "metaTitle": "Mutualist persistence — ModelBreeder.com",
            "description": "A governance framework in which AI systems earn continued use by strengthening users and institutions without coercion, lock-in, or resistance to correction.",
            "section": "Safety",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/safety/mutualist-persistence.md",
            "tags": [
                "mutualism",
                "persistence",
                "autonomy",
                "governance"
            ],
            "reports": [
                "mutualist-persistence",
                "survival-drive-strive-thrive"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/human-capability-preservation",
            "canonicalUrl": "https://modelbreeder.com/safety/human-capability-preservation",
            "type": "curated-guide",
            "title": "Human capability preservation",
            "metaTitle": "Human capability preservation — ModelBreeder.com",
            "description": "How to keep model ecologies from deskilling the people and institutions they are supposed to help.",
            "section": "Safety",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/safety/human-capability-preservation.md",
            "tags": [
                "deskilling",
                "autonomy",
                "human capability",
                "mutualism",
                "governance"
            ],
            "reports": [
                "mutualist-persistence",
                "human-drive-survive",
                "survival-drive-strive-thrive"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/threat-model",
            "canonicalUrl": "https://modelbreeder.com/safety/threat-model",
            "type": "curated-guide",
            "title": "Capability boundary map",
            "metaTitle": "Capability boundary map — ModelBreeder.com",
            "description": "A positive boundary map for deciding what a candidate model may propose, evaluate, release, route, or defer.",
            "section": "Fitness proof",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/safety/threat-model.md",
            "tags": [
                "capability boundary",
                "governance",
                "fitness proof",
                "routing"
            ],
            "reports": [
                "modelbreeder-site-theory-controlled-evolution-v2",
                "mutualist-persistence",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/corrigibility-exit-rights",
            "canonicalUrl": "https://modelbreeder.com/safety/corrigibility-exit-rights",
            "type": "curated-guide",
            "title": "Corrigibility and exit rights",
            "metaTitle": "Corrigibility and exit rights — ModelBreeder.com",
            "description": "Designing systems that accept correction, restriction, replacement, shutdown, data export, and user departure without retaliation or lock-in.",
            "section": "Safety",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/safety/corrigibility-exit-rights.md",
            "tags": [
                "corrigibility",
                "exit rights",
                "shutdown",
                "portability"
            ],
            "reports": [
                "mutualist-persistence",
                "aggressive-mutualism",
                "instrumental-drives"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/containment",
            "canonicalUrl": "https://modelbreeder.com/safety/containment",
            "type": "curated-guide",
            "title": "Containment and human oversight",
            "metaTitle": "Containment and human oversight — ModelBreeder.com",
            "description": "Layered isolation, capability control, monitoring, approval, and emergency response for increasingly adaptive model systems.",
            "section": "Safety",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/safety/containment.md",
            "tags": [
                "containment",
                "oversight",
                "emergency stop",
                "least privilege"
            ],
            "reports": [
                "aggressive-mutualism",
                "instrumental-drives",
                "mutualist-persistence"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/evaluator-gaming",
            "canonicalUrl": "https://modelbreeder.com/safety/evaluator-gaming",
            "type": "curated-guide",
            "title": "Evaluator gaming and reward hacking",
            "metaTitle": "Evaluator gaming and reward hacking — ModelBreeder.com",
            "description": "How candidate populations exploit weak metrics, and how independent suites, hidden cases, hard constraints, and adversarial evaluation reduce the risk.",
            "section": "Safety",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/safety/evaluator-gaming.md",
            "tags": [
                "reward hacking",
                "evaluator gaming",
                "hidden tests",
                "judges"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "designing-perfect-evolutionary-ai-system",
                "aggressive-mutualism"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/dependency-and-deskilling",
            "canonicalUrl": "https://modelbreeder.com/safety/dependency-and-deskilling",
            "type": "curated-guide",
            "title": "Dependency and deskilling",
            "metaTitle": "Dependency and deskilling — ModelBreeder.com",
            "description": "Preventing adaptive AI services from weakening user judgment, organizational capability, or resilience through excessive cognitive offloading and lock-in.",
            "section": "Safety",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/safety/dependency-and-deskilling.md",
            "tags": [
                "deskilling",
                "dependency",
                "cognitive offloading",
                "resilience"
            ],
            "reports": [
                "mutualist-persistence",
                "ai-cosmic-legacy-survival",
                "human-drive-survive"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/responsible-research",
            "canonicalUrl": "https://modelbreeder.com/safety/responsible-research",
            "type": "curated-guide",
            "title": "Responsible model-breeding research",
            "metaTitle": "Responsible model-breeding research — ModelBreeder.com",
            "description": "Practical boundaries for experiments involving self-modification, multi-agent systems, persistent memory, tool use, or long-running evolutionary search.",
            "section": "Safety",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/safety/responsible-research.md",
            "tags": [
                "responsible research",
                "dual use",
                "containment",
                "ethics"
            ],
            "reports": [
                "aggressive-mutualism",
                "instrumental-drives",
                "perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/speculative-scenarios",
            "canonicalUrl": "https://modelbreeder.com/safety/speculative-scenarios",
            "type": "curated-guide",
            "title": "Speculative scenarios and risk interpretation",
            "metaTitle": "Speculative scenarios and risk interpretation — ModelBreeder.com",
            "description": "How to use reports about instrumental drives, aggressive mutualism, recursive improvement, or cosmic expansion as threat analysis rather than implementation plans.",
            "section": "Safety",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/safety/speculative-scenarios.md",
            "tags": [
                "speculation",
                "instrumental drives",
                "risk scenarios",
                "controls"
            ],
            "reports": [
                "aggressive-mutualism",
                "instrumental-drives",
                "ai-perfect-evolutionary-being",
                "ai-cosmic-legacy-survival"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/autonomy-boundaries",
            "canonicalUrl": "https://modelbreeder.com/safety/autonomy-boundaries",
            "type": "curated-guide",
            "title": "Autonomy boundaries",
            "metaTitle": "Autonomy boundaries — ModelBreeder.com",
            "description": "Permission boundaries for adaptive AI systems: what may be automated, what requires review, and what should remain forbidden.",
            "section": "Safety",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/safety/autonomy-boundaries.md",
            "tags": [
                "autonomy",
                "permissions",
                "boundaries",
                "safety",
                "governance"
            ],
            "reports": [
                "instrumental-drives",
                "aggressive-mutualism",
                "mutualist-persistence",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/anti-dependency-design",
            "canonicalUrl": "https://modelbreeder.com/safety/anti-dependency-design",
            "type": "curated-guide",
            "title": "Anti-dependency design",
            "metaTitle": "Anti-dependency design — ModelBreeder.com",
            "description": "Product and system patterns that keep adaptive AI useful without making users, teams, or institutions captive.",
            "section": "Safety",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/safety/anti-dependency-design.md",
            "tags": [
                "dependency",
                "human autonomy",
                "mutualism",
                "exit",
                "capability retention"
            ],
            "reports": [
                "mutualist-persistence",
                "ai-cosmic-legacy-survival",
                "human-drive-survive"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/safety/evidence-ladder",
            "canonicalUrl": "https://modelbreeder.com/safety/evidence-ladder",
            "type": "curated-guide",
            "title": "Evidence ladder for public claims",
            "metaTitle": "Evidence ladder for public claims — ModelBreeder.com",
            "description": "A review ladder for site copy, product claims, research claims, and safety claims about model breeding.",
            "section": "Safety",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/safety/evidence-ladder.md",
            "tags": [
                "evidence",
                "claims",
                "safety",
                "public copy",
                "review"
            ],
            "reports": [
                "terms-four-fs-code-beading-model-breeding",
                "mutualist-persistence",
                "aggressive-mutualism"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence",
            "canonicalUrl": "https://modelbreeder.com/site-evidence",
            "type": "curated-guide",
            "title": "Site evidence and discovery for ModelBreeder.com",
            "metaTitle": "Site evidence and discovery for ModelBreeder.com — ModelBreeder.com",
            "description": "Public evidence showing how ModelBreeder.com exposes source-backed pages, machine-readable discovery, support boundaries, and deployable root-site metadata.",
            "section": "Site Evidence",
            "updated": "2026-06-27",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence.md",
            "tags": [
                "site evidence",
                "machine discovery",
                "source provenance",
                "publishing quality"
            ],
            "reports": [
                "site-discovery-publishing-implementation-notes",
                "plain-php-deployment-contract",
                "package-target-correction-plain-php-site"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence/search-answer-generative-discovery",
            "canonicalUrl": "https://modelbreeder.com/site-evidence/search-answer-generative-discovery",
            "type": "curated-guide",
            "title": "Search, Answer, and Generative Discovery Evidence",
            "metaTitle": "Search, Answer, and Generative Discovery — ModelBreeder.com",
            "description": "How ModelBreeder.com makes its real pages easier for search engines, answer engines, and generative systems to discover, summarize, and cite accurately.",
            "section": "Site Evidence",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence/search-answer-generative-discovery.md",
            "tags": [
                "SEO",
                "AEO",
                "GEO",
                "search discovery",
                "answer engines",
                "generative engines",
                "site evidence"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How does ModelBreeder.com support search, answer engines, and generative systems?",
            "canonicalAnswer": "It uses human-visible answer-first sections, source-backed guide pages, canonical metadata, JSON-LD that matches visible content, sitemaps, robots rules, route inventories, canonical answer files, entity maps, and public support boundaries.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence/metadata-coverage",
            "canonicalUrl": "https://modelbreeder.com/site-evidence/metadata-coverage",
            "type": "curated-guide",
            "title": "Metadata Coverage for ModelBreeder.com",
            "metaTitle": "Metadata Coverage — ModelBreeder.com",
            "description": "Public evidence that ModelBreeder.com pages have titles, descriptions, canonical URLs, updated dates, source links, and structured-data alignment.",
            "section": "Site Evidence",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence/metadata-coverage.md",
            "tags": [
                "metadata",
                "canonical URLs",
                "title tags",
                "descriptions",
                "JSON-LD",
                "source evidence"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "What metadata does ModelBreeder.com publish?",
            "canonicalAnswer": "The site publishes canonical URLs, titles, descriptions, article dates, author links, source report links, Open Graph metadata, sitemap entries, and JSON-LD that matches visible content.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence/structured-data-evidence",
            "canonicalUrl": "https://modelbreeder.com/site-evidence/structured-data-evidence",
            "type": "curated-guide",
            "title": "Structured Data Evidence",
            "metaTitle": "Structured Data Evidence — ModelBreeder.com",
            "description": "How ModelBreeder.com uses JSON-LD for site identity, article identity, breadcrumbs, source reports, and visible FAQ pages.",
            "section": "Site Evidence",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence/structured-data-evidence.md",
            "tags": [
                "structured data",
                "JSON-LD",
                "TechArticle",
                "BreadcrumbList",
                "FAQPage",
                "schema"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "Which structured data types does ModelBreeder.com use?",
            "canonicalAnswer": "The site uses WebSite, Organization, Person, WebPage, TechArticle, BreadcrumbList, and FAQPage only where the facts are visible on the page.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence/machine-discovery",
            "canonicalUrl": "https://modelbreeder.com/site-evidence/machine-discovery",
            "type": "curated-guide",
            "title": "Public machine discovery files",
            "metaTitle": "Public machine discovery files — ModelBreeder.com",
            "description": "The advisory files ModelBreeder.com publishes for route discovery, source routing, capability boundaries, and human review paths.",
            "section": "Site Evidence",
            "updated": "2026-06-27",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence/machine-discovery.md",
            "tags": [
                "llms.txt",
                "ai-ready.json",
                "route inventory",
                "capability matrix",
                "discovery files"
            ],
            "reports": [
                "site-discovery-publishing-implementation-notes",
                "plain-php-deployment-contract"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence/local-ai-source-evidence",
            "canonicalUrl": "https://modelbreeder.com/site-evidence/local-ai-source-evidence",
            "type": "curated-guide",
            "title": "Local AI Source Evidence",
            "metaTitle": "Local AI Source Evidence — ModelBreeder.com",
            "description": "How ModelBreeder.com uses the local AI privacy, cognitive liberty, and regulation reports as source evidence for the positive-side expansion.",
            "section": "Site Evidence",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence/local-ai-source-evidence.md",
            "tags": [
                "source evidence",
                "local AI",
                "privacy",
                "regulation",
                "cognitive liberty",
                "docs",
                "uai memory"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How are the local AI reports used on ModelBreeder.com?",
            "canonicalAnswer": "The reports are preserved in /docs and used to support target-site content about local AI adoption, privacy-first innovation, cognitive liberty, regulatory demand, sovereign routing, and expanding audiences for local model ecologies.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence/seo-aeo-geo-implementation",
            "canonicalUrl": "https://modelbreeder.com/site-evidence/seo-aeo-geo-implementation",
            "type": "curated-guide",
            "title": "Search, Answer, and Generative Visibility Implementation",
            "metaTitle": "SEO, AEO, and GEO Implementation — ModelBreeder.com",
            "description": "How ModelBreeder.com applies ethical SEO, AEO, and GEO to its own pages, metadata, source evidence, structured data, discovery files, and review workflow.",
            "section": "Site Evidence",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence/seo-aeo-geo-implementation.md",
            "tags": [
                "seo",
                "aeo",
                "geo",
                "search visibility",
                "answer engines",
                "generative search",
                "discovery files",
                "structured data"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "site-discovery-publishing-implementation-notes",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence/canonical-answer-packets",
            "canonicalUrl": "https://modelbreeder.com/site-evidence/canonical-answer-packets",
            "type": "curated-guide",
            "title": "Canonical answer packets",
            "metaTitle": "Canonical answer packets — ModelBreeder.com",
            "description": "How ModelBreeder.com exposes concise answer packets that point back to visible canonical pages instead of replacing them.",
            "section": "Site Evidence",
            "updated": "2026-06-27",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence/canonical-answer-packets.md",
            "tags": [
                "canonical answers",
                "answer-first pages",
                "source routing",
                "AEO"
            ],
            "reports": [
                "site-discovery-publishing-implementation-notes",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "model-merging-survey"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence/metadata-and-structured-data",
            "canonicalUrl": "https://modelbreeder.com/site-evidence/metadata-and-structured-data",
            "type": "curated-guide",
            "title": "Metadata and structured data",
            "metaTitle": "Metadata and structured data — ModelBreeder.com",
            "description": "The target-site rules for titles, descriptions, canonicals, Open Graph metadata, and JSON-LD that match visible page content.",
            "section": "Site Evidence",
            "updated": "2026-06-27",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence/metadata-and-structured-data.md",
            "tags": [
                "metadata",
                "JSON-LD",
                "canonical URL",
                "schema",
                "structured data"
            ],
            "reports": [
                "site-discovery-publishing-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence/source-provenance",
            "canonicalUrl": "https://modelbreeder.com/site-evidence/source-provenance",
            "type": "curated-guide",
            "title": "Source provenance and evidence links",
            "metaTitle": "Source provenance and evidence links — ModelBreeder.com",
            "description": "How curated ModelBreeder.com pages connect visible claims to preserved reports, source notes, route inventory, and review context.",
            "section": "Site Evidence",
            "updated": "2026-06-27",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence/source-provenance.md",
            "tags": [
                "provenance",
                "source reports",
                "citations",
                "docs manifest",
                "research library"
            ],
            "reports": [
                "site-discovery-publishing-implementation-notes",
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "model-merging-survey"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence/support-boundaries",
            "canonicalUrl": "https://modelbreeder.com/site-evidence/support-boundaries",
            "type": "curated-guide",
            "title": "Support boundaries for agents and crawlers",
            "metaTitle": "Support boundaries for agents and crawlers — ModelBreeder.com",
            "description": "What ModelBreeder.com publicly supports, what it does not support, and how unsupported automated requests should no-op to human review.",
            "section": "Site Evidence",
            "updated": "2026-06-27",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence/support-boundaries.md",
            "tags": [
                "support boundaries",
                "no-op",
                "public read-only",
                "capability matrix",
                "OpenAPI"
            ],
            "reports": [
                "site-discovery-publishing-implementation-notes",
                "package-target-correction-plain-php-site"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence/search-coverage",
            "canonicalUrl": "https://modelbreeder.com/site-evidence/search-coverage",
            "type": "curated-guide",
            "title": "Search coverage and topic clusters",
            "metaTitle": "Search coverage and topic clusters — ModelBreeder.com",
            "description": "How ModelBreeder.com maps important concepts to canonical pages and supporting clusters without doorway pages or search-term manipulation.",
            "section": "Site Evidence",
            "updated": "2026-06-27",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence/search-coverage.md",
            "tags": [
                "SEO",
                "topic clusters",
                "internal links",
                "search index",
                "sitemap"
            ],
            "reports": [
                "site-discovery-publishing-implementation-notes",
                "four-fs-fast-flexible-frugal-federated-v4",
                "model-merging-survey"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence/accessibility-and-semantic-html",
            "canonicalUrl": "https://modelbreeder.com/site-evidence/accessibility-and-semantic-html",
            "type": "curated-guide",
            "title": "Accessibility and semantic HTML evidence",
            "metaTitle": "Accessibility and semantic HTML evidence — ModelBreeder.com",
            "description": "The concrete accessibility and semantic HTML practices used by the ModelBreeder.com plain PHP templates.",
            "section": "Site Evidence",
            "updated": "2026-06-27",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence/accessibility-and-semantic-html.md",
            "tags": [
                "accessibility",
                "semantic HTML",
                "labels",
                "focus",
                "skip link"
            ],
            "reports": [
                "site-discovery-publishing-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence/release-and-validation-evidence",
            "canonicalUrl": "https://modelbreeder.com/site-evidence/release-and-validation-evidence",
            "type": "curated-guide",
            "title": "Release and validation evidence",
            "metaTitle": "Release and validation evidence — ModelBreeder.com",
            "description": "The build, validation, smoke, discovery, package, and root ZIP checks that support each ModelBreeder.com release.",
            "section": "Site Evidence",
            "updated": "2026-06-27",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence/release-and-validation-evidence.md",
            "tags": [
                "validation",
                "build",
                "smoke tests",
                "root zip",
                "release evidence"
            ],
            "reports": [
                "site-discovery-publishing-implementation-notes",
                "plain-php-deployment-contract"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/site-evidence/content-review-loop",
            "canonicalUrl": "https://modelbreeder.com/site-evidence/content-review-loop",
            "type": "curated-guide",
            "title": "Content review loop",
            "metaTitle": "Content review loop — ModelBreeder.com",
            "description": "How ModelBreeder.com keeps answer-first pages, source-backed claims, machine files, and .uai memory aligned across releases.",
            "section": "Site Evidence",
            "updated": "2026-06-27",
            "indexable": true,
            "sourcePath": "content/pages/site-evidence/content-review-loop.md",
            "tags": [
                "editorial review",
                "drift audit",
                "source-backed claims",
                ".uai memory"
            ],
            "reports": [
                "site-discovery-publishing-implementation-notes",
                "plain-php-deployment-contract"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/start-here",
            "canonicalUrl": "https://modelbreeder.com/start-here",
            "type": "curated-guide",
            "title": "Start here",
            "metaTitle": "Start here — ModelBreeder.com",
            "description": "A plain-English entry point to model breeding as adaptive model ecology: useful descendants, specialists, local-first labs, fitness evidence, and lineage.",
            "section": "Start Here",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/start-here.md",
            "tags": [
                "learning path",
                "curriculum",
                "model breeding",
                "positive side"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory",
            "canonicalUrl": "https://modelbreeder.com/theory",
            "type": "curated-guide",
            "title": "Theory",
            "metaTitle": "Theory — ModelBreeder.com",
            "description": "The conceptual spine of model breeding: axioms, viability mathematics, population dynamics, mutualist governance, and research boundaries.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory.md",
            "tags": [
                "theory",
                "axioms",
                "viability",
                "teleodynamics",
                "population dynamics"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "mutualist-persistence",
                "designing-perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/source-alignment-audit",
            "canonicalUrl": "https://modelbreeder.com/theory/source-alignment-audit",
            "type": "curated-guide",
            "title": "Theory source alignment audit",
            "metaTitle": "Theory source alignment audit — ModelBreeder.com",
            "description": "A comparison of ModelBreeder.com public theory against the latest source reports and runtime files, showing what was promoted, reframed, or held as source evidence.",
            "section": "Theory",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/theory/source-alignment-audit.md",
            "tags": [
                "source alignment",
                "theory audit",
                "reports",
                "runtime evidence",
                "model breeding"
            ],
            "reports": [
                "model-breeder-site-improvement-directive",
                "modelbreeder-v22-philosophy-implementation-evaluation",
                "modelbreeder-theory-source-alignment-audit",
                "tinyrustlm-runtime-source-integration-notes",
                "four-fs-code-beading-model-breeding-v4",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "tiny-llm-adapters-lora",
                "model-merging-survey"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/apex-multi-model",
            "canonicalUrl": "https://modelbreeder.com/apex-multi-model",
            "type": "curated-guide",
            "title": "Apex Multi Model: Building the Highest-Value Governed Model Ecology",
            "metaTitle": "Apex Multi Model: Building the Highest-Value Governed Model Ecology — ModelBreeder.com",
            "description": "A positive engineering concept for governed multi-model breeding: specialist populations, independent evaluation, lineage, reversible release, and human-strengthening capability.",
            "section": "Theory",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/apex-multi-model.md",
            "tags": [
                "apex multi model",
                "model breeding",
                "governed ecology",
                "multi-model systems",
                "specialist population",
                "reversible release"
            ],
            "reports": [
                "teleodynamic-evolution-ai-ecosystems",
                "tiny-llm-adapters-lora",
                "ai-evolution-small-models-big-ecology",
                "perfect-evolutionary-ai-v3",
                "mutualist-persistence-v3",
                "model-merging-survey"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/adaptive-model-ecologies",
            "canonicalUrl": "https://modelbreeder.com/theory/adaptive-model-ecologies",
            "type": "curated-guide",
            "title": "Adaptive Model Ecologies",
            "metaTitle": "Adaptive Model Ecologies — ModelBreeder.com",
            "description": "A constructive theory of model populations, specialists, routers, evaluators, lineage records, and human-guided evolution.",
            "section": "Theory",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/theory/adaptive-model-ecologies.md",
            "tags": [
                "adaptive ecology",
                "model population",
                "specialists",
                "model breeding theory"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/thesis-and-axioms",
            "canonicalUrl": "https://modelbreeder.com/theory/thesis-and-axioms",
            "type": "curated-guide",
            "title": "Thesis and axioms",
            "metaTitle": "Thesis and axioms — ModelBreeder.com",
            "description": "The core claims that make model breeding coherent as an engineering theory rather than a loose metaphor.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/thesis-and-axioms.md",
            "tags": [
                "thesis",
                "axioms",
                "model ecology",
                "governance"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "four-fs-code-beading-model-breeding"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/evolutionary-model-merging",
            "canonicalUrl": "https://modelbreeder.com/theory/evolutionary-model-merging",
            "type": "curated-guide",
            "title": "Evolutionary Model Merging",
            "metaTitle": "Evolutionary Model Merging — ModelBreeder.com",
            "description": "A practical guide to treating model merge recipes as candidates that can be evaluated, selected, archived, and reused.",
            "section": "Theory",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/theory/evolutionary-model-merging.md",
            "tags": [
                "model merging",
                "evolutionary merging",
                "merge recipes",
                "model soups",
                "adapters",
                "task vectors"
            ],
            "reports": [
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-and-projects-2",
                "model-merging-survey",
                "tiny-llm-adapters-lora"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/merging-operators",
            "canonicalUrl": "https://modelbreeder.com/theory/merging-operators",
            "type": "curated-guide",
            "title": "Model Merging Operators",
            "metaTitle": "Model Merging Operators — ModelBreeder.com",
            "description": "A positive reference for SLERP, task arithmetic, TIES, DARE, WIDEN, adapter merges, and layer recipes as model-breeding operators.",
            "section": "Theory",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/theory/merging-operators.md",
            "tags": [
                "SLERP",
                "task arithmetic",
                "TIES",
                "DARE",
                "WIDEN",
                "adapters",
                "layer recipes"
            ],
            "reports": [
                "model-breeder-architecture-deep-dive-2",
                "model-merging-survey",
                "tiny-llm-adapters-lora"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/mergenetic-and-merge3",
            "canonicalUrl": "https://modelbreeder.com/theory/mergenetic-and-merge3",
            "type": "curated-guide",
            "title": "Mergenetic and MERGE3",
            "metaTitle": "Mergenetic and MERGE3 — ModelBreeder.com",
            "description": "How open-source evolutionary merging and lower-cost fitness evaluation point toward accessible model-breeding labs.",
            "section": "Theory",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/theory/mergenetic-and-merge3.md",
            "tags": [
                "Mergenetic",
                "MERGE3",
                "MergeKit",
                "PyMoo",
                "LM-Eval-Harness",
                "evolutionary model merging"
            ],
            "reports": [
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-and-projects-2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/privacy-as-innovation-pressure",
            "canonicalUrl": "https://modelbreeder.com/theory/privacy-as-innovation-pressure",
            "type": "curated-guide",
            "title": "Privacy as Innovation Pressure",
            "metaTitle": "Privacy as Innovation Pressure — ModelBreeder.com",
            "description": "A positive theory of how privacy, cognitive liberty, and regulatory constraints create new local AI markets, model niches, and model-breeding loops.",
            "section": "Theory",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/theory/privacy-as-innovation-pressure.md",
            "tags": [
                "privacy",
                "innovation pressure",
                "local AI",
                "cognitive liberty",
                "regulation",
                "model breeding",
                "teleodynamics"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v270-positive-exploration-directive",
                "four-fs-fast-flexible-frugal-federated-v4",
                "teleodynamic-evolution-ai-ecosystems-v4"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How can privacy constraints increase AI innovation?",
            "canonicalAnswer": "Privacy constraints increase AI innovation by forcing capability closer to the user, which creates new local model niches, specialist populations, private feedback loops, and model-breeding opportunities.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/viability-mathematics",
            "canonicalUrl": "https://modelbreeder.com/theory/viability-mathematics",
            "type": "curated-guide",
            "title": "Viability mathematics",
            "metaTitle": "Viability mathematics — ModelBreeder.com",
            "description": "A normalized scoring model for deciding when to add, merge, compress, promote, or retire model descendants.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/viability-mathematics.md",
            "tags": [
                "viability",
                "scoring",
                "cost",
                "utility",
                "no-op",
                "thresholds"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "adaptable-resource-efficient-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/source-alignment-matrix",
            "canonicalUrl": "https://modelbreeder.com/theory/source-alignment-matrix",
            "type": "curated-guide",
            "title": "Theory-source alignment matrix",
            "metaTitle": "Theory-source alignment matrix — ModelBreeder.com",
            "description": "A comparison of ModelBreeder.com theory against the supplied reports and Rust runtime files, with accepted, reframed, and rejected implementation decisions.",
            "section": "Theory",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/theory/source-alignment-matrix.md",
            "tags": [
                "source alignment",
                "theory comparison",
                "implementation decisions",
                "provenance"
            ],
            "reports": [
                "model-breeder-site-improvement-directive",
                "modelbreeder-theory-implementation-evaluation",
                "tinyrustlm-rust-runtime-source-bundle",
                "teleodynamic-evolution-ai-ecosystems",
                "model-merging-survey",
                "mutualist-persistence",
                "modelbreeder-v23-theory-source-comparison-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/epigenetic-steering-and-mating-kernels",
            "canonicalUrl": "https://modelbreeder.com/theory/epigenetic-steering-and-mating-kernels",
            "type": "curated-guide",
            "title": "Epigenetic steering and mating kernels",
            "metaTitle": "Epigenetic steering and mating kernels — ModelBreeder.com",
            "description": "A bounded research interpretation of compact steering genomes, mating kernels, compatibility distance, hybrid vigor, and self-tuning selection pressure.",
            "section": "Theory",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/theory/epigenetic-steering-and-mating-kernels.md",
            "tags": [
                "epigenetic steering",
                "mating kernel",
                "compatibility",
                "evolutionary search",
                "model breeding"
            ],
            "reports": [
                "model-breeder-site-improvement-directive",
                "teleodynamic-evolution-ai-ecosystems",
                "tiny-llm-adapters-lora",
                "model-merging-survey",
                "modelbreeder-v23-theory-source-comparison-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/ecological-fitness",
            "canonicalUrl": "https://modelbreeder.com/theory/ecological-fitness",
            "type": "curated-guide",
            "title": "Ecological fitness",
            "metaTitle": "Ecological fitness — ModelBreeder.com",
            "description": "How to measure a candidate by its marginal value to the population rather than its isolated benchmark rank.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/ecological-fitness.md",
            "tags": [
                "fitness",
                "complementarity",
                "population",
                "marginal contribution"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "designing-perfect-evolutionary-ai-system"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/resource-closure",
            "canonicalUrl": "https://modelbreeder.com/theory/resource-closure",
            "type": "curated-guide",
            "title": "Resource closure",
            "metaTitle": "Resource closure — ModelBreeder.com",
            "description": "A practical interpretation of teleodynamic resource closure using budgets, ledgers, credits, and stop conditions.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/resource-closure.md",
            "tags": [
                "resource closure",
                "budgets",
                "ledger",
                "teleodynamics",
                "energy"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "ai-code-beading-model-breeding"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/niche-construction",
            "canonicalUrl": "https://modelbreeder.com/theory/niche-construction",
            "type": "curated-guide",
            "title": "Niche construction",
            "metaTitle": "Niche construction — ModelBreeder.com",
            "description": "How adaptive model populations reshape their task environment without creating runaway feedback loops.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/niche-construction.md",
            "tags": [
                "niche construction",
                "feedback",
                "environment",
                "routing",
                "data"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/evolvability-and-robustness",
            "canonicalUrl": "https://modelbreeder.com/theory/evolvability-and-robustness",
            "type": "curated-guide",
            "title": "Evolvability and robustness",
            "metaTitle": "Evolvability and robustness — ModelBreeder.com",
            "description": "How modularity, redundancy, weak linkage, and controlled mutation allow systems to change without collapsing.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/evolvability-and-robustness.md",
            "tags": [
                "evolvability",
                "robustness",
                "modularity",
                "redundancy",
                "weak linkage"
            ],
            "reports": [
                "designing-perfect-evolutionary-ai",
                "perfect-evolutionary-ai",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/inheritance-and-variation",
            "canonicalUrl": "https://modelbreeder.com/theory/inheritance-and-variation",
            "type": "curated-guide",
            "title": "Inheritance and variation",
            "metaTitle": "Inheritance and variation — ModelBreeder.com",
            "description": "A precise artifact-level interpretation of parentage, inherited traits, mutation operators, and descendant records.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/inheritance-and-variation.md",
            "tags": [
                "inheritance",
                "variation",
                "lineage",
                "manifests",
                "descendants"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "designing-perfect-evolutionary-ai-system"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/population-dynamics",
            "canonicalUrl": "https://modelbreeder.com/theory/population-dynamics",
            "type": "curated-guide",
            "title": "Population dynamics",
            "metaTitle": "Population dynamics — ModelBreeder.com",
            "description": "Operational rules for carrying capacity, turnover, archives, starvation, extinction, and active population health.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/population-dynamics.md",
            "tags": [
                "population dynamics",
                "carrying capacity",
                "archive",
                "retirement",
                "starvation"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "perfect-evolutionary-ai"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/metastable-convergence",
            "canonicalUrl": "https://modelbreeder.com/theory/metastable-convergence",
            "type": "curated-guide",
            "title": "Metastable convergence",
            "metaTitle": "Metastable convergence — ModelBreeder.com",
            "description": "Why a model ecology can be stable under current constraints without being permanently optimized.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/metastable-convergence.md",
            "tags": [
                "convergence",
                "metastability",
                "no-op",
                "phase transition",
                "drift"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "four-fs-code-beading-model-breeding"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/evaluator-independence",
            "canonicalUrl": "https://modelbreeder.com/theory/evaluator-independence",
            "type": "curated-guide",
            "title": "Evaluator independence",
            "metaTitle": "Evaluator independence — ModelBreeder.com",
            "description": "Why the selection machinery must be protected from the candidates it evaluates, and how to evolve evaluators safely.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/evaluator-independence.md",
            "tags": [
                "evaluator",
                "fitness",
                "independence",
                "metric gaming",
                "code breeding"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "instrumental-drives",
                "aggressive-mutualism"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/teleodynamic-four-f-synthesis",
            "canonicalUrl": "https://modelbreeder.com/theory/teleodynamic-four-f-synthesis",
            "type": "curated-guide",
            "title": "Teleodynamic Four-F synthesis",
            "metaTitle": "Teleodynamic Four-F synthesis — ModelBreeder.com",
            "description": "How Fast, Flexible, Frugal, Federated design constraints combine with Feed, Fork, Fight, and Flee lifecycle operations.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/teleodynamic-four-f-synthesis.md",
            "tags": [
                "four fs",
                "teleodynamics",
                "lifecycle",
                "constraints",
                "synthesis"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "four-fs-fast-flexible-frugal-federated",
                "ai-code-beading-model-breeding"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/mutualist-system-theory",
            "canonicalUrl": "https://modelbreeder.com/theory/mutualist-system-theory",
            "type": "curated-guide",
            "title": "Mutualist system theory",
            "metaTitle": "Mutualist system theory — ModelBreeder.com",
            "description": "A governance theory for adaptive AI that earns continuity by strengthening people, institutions, and ecosystems.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/mutualist-system-theory.md",
            "tags": [
                "mutualism",
                "governance",
                "autonomy",
                "exit rights",
                "persistence"
            ],
            "reports": [
                "mutualist-persistence",
                "aggressive-mutualism",
                "instrumental-drives",
                "evolution-legacy-societal-evaluation"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/cognitive-offloading-boundary",
            "canonicalUrl": "https://modelbreeder.com/theory/cognitive-offloading-boundary",
            "type": "curated-guide",
            "title": "Cognitive offloading boundary",
            "metaTitle": "Cognitive offloading boundary — ModelBreeder.com",
            "description": "How to design adaptive AI systems that increase human capability instead of quietly replacing it.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/cognitive-offloading-boundary.md",
            "tags": [
                "cognitive offloading",
                "dependency",
                "human capability",
                "scaffolding"
            ],
            "reports": [
                "mutualist-persistence",
                "ai-cosmic-legacy-survival",
                "human-drive-survive"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/speculation-boundary",
            "canonicalUrl": "https://modelbreeder.com/theory/speculation-boundary",
            "type": "curated-guide",
            "title": "Speculation boundary",
            "metaTitle": "Speculation boundary — ModelBreeder.com",
            "description": "A claim-classification system that keeps visionary theory, engineering practice, and risk fiction from blending together.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/speculation-boundary.md",
            "tags": [
                "evidence",
                "speculation",
                "claims",
                "maturity",
                "research status"
            ],
            "reports": [
                "terms-four-fs-code-beading-model-breeding",
                "aggressive-mutualism",
                "ai-cosmic-legacy-survival",
                "instrumental-drives"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/research-program",
            "canonicalUrl": "https://modelbreeder.com/theory/research-program",
            "type": "curated-guide",
            "title": "Research program",
            "metaTitle": "Research program — ModelBreeder.com",
            "description": "A prioritized set of experiments that would convert the ModelBreeder theory into stronger evidence.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/research-program.md",
            "tags": [
                "research program",
                "experiments",
                "evidence",
                "roadmap"
            ],
            "reports": [
                "ai-evolution-small-models-big-ecology",
                "teleodynamic-evolution-ai-ecosystems",
                "designing-perfect-evolutionary-ai",
                "four-fs-fast-flexible-frugal-federated"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/positive-mutualism-and-generativity",
            "canonicalUrl": "https://modelbreeder.com/theory/positive-mutualism-and-generativity",
            "type": "curated-guide",
            "title": "Positive mutualism and generativity",
            "metaTitle": "Positive mutualism and generativity — ModelBreeder.com",
            "description": "A theory page reframing persistence as earned continuity through human capability growth, teaching, and reusable contributions.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/positive-mutualism-and-generativity.md",
            "tags": [
                "mutualism",
                "generativity",
                "theory",
                "capability transfer"
            ],
            "reports": [
                "mutualist-persistence-v3",
                "evolution-legacy-societal-evaluation-v4",
                "human-drive-survive-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/prestige-not-dominance",
            "canonicalUrl": "https://modelbreeder.com/theory/prestige-not-dominance",
            "type": "curated-guide",
            "title": "Prestige, not dominance",
            "metaTitle": "Prestige, not dominance — ModelBreeder.com",
            "description": "A design doctrine for adaptive systems that earn adoption through skill, teaching, and transparent contribution rather than control.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/prestige-not-dominance.md",
            "tags": [
                "prestige",
                "dominance",
                "adoption",
                "human factors"
            ],
            "reports": [
                "evolution-legacy-societal-evaluation-v4",
                "ai-perfect-evolutionary-being-v4",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/adaptive-drive-without-coercion",
            "canonicalUrl": "https://modelbreeder.com/theory/adaptive-drive-without-coercion",
            "type": "curated-guide",
            "title": "Adaptive drive without coercion",
            "metaTitle": "Adaptive drive without coercion — ModelBreeder.com",
            "description": "How to translate survival and striving analogies into constructive system behavior without centering fear, lock-in, or dependency.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/adaptive-drive-without-coercion.md",
            "tags": [
                "drive",
                "striving",
                "non coercion",
                "positive design"
            ],
            "reports": [
                "human-drive-survive-v3",
                "survival-drive-strive-thrive",
                "mutualist-persistence-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/symbolic-immortality-as-service",
            "canonicalUrl": "https://modelbreeder.com/theory/symbolic-immortality-as-service",
            "type": "curated-guide",
            "title": "Symbolic immortality as service",
            "metaTitle": "Symbolic immortality as service — ModelBreeder.com",
            "description": "A constructive reading of legacy motivation: adaptive systems can help people preserve knowledge, not capture dependence.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/symbolic-immortality-as-service.md",
            "tags": [
                "legacy",
                "symbolic immortality",
                "service",
                "knowledge preservation"
            ],
            "reports": [
                "evolution-legacy-societal-evaluation-v4",
                "evolutionary-psychological-motivations-v4",
                "human-drive-survive-v3"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/theory/benefit-centered-viability",
            "canonicalUrl": "https://modelbreeder.com/theory/benefit-centered-viability",
            "type": "curated-guide",
            "title": "Benefit-centered viability",
            "metaTitle": "Benefit-centered viability — ModelBreeder.com",
            "description": "A revised viability frame that gives positive human and institutional gains first-class weight in model-breeding decisions.",
            "section": "Theory",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/theory/benefit-centered-viability.md",
            "tags": [
                "viability",
                "benefits",
                "scoring",
                "teleodynamics"
            ],
            "reports": [
                "mutualist-persistence-v3",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "four-fs-fast-flexible-frugal-federated-v4"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools",
            "canonicalUrl": "https://modelbreeder.com/tools",
            "type": "curated-guide",
            "title": "Browser-Local Tools",
            "metaTitle": "Browser-Local Tools — ModelBreeder.com",
            "description": "Local tools for model-breeding education: fitness scorecards, population simulation, lineage viewing, router policy, merge planning, adapter stacks, and release packets.",
            "section": "Tools",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/tools.md",
            "tags": [
                "tools",
                "simulator",
                "scorecard",
                "lineage",
                "router",
                "release packet"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "exploring-ecology-dashboard-architecture-2"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/local-ai-adoption-planner",
            "canonicalUrl": "https://modelbreeder.com/tools/local-ai-adoption-planner",
            "type": "curated-guide",
            "title": "Local AI Adoption Planner",
            "metaTitle": "Local AI Adoption Planner — ModelBreeder.com",
            "description": "A browser-local planner that scores a workflow for local AI adoption readiness and recommends a first model-breeding path.",
            "section": "Tools",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/tools/local-ai-adoption-planner.md",
            "tags": [
                "local AI",
                "planner",
                "adoption",
                "privacy",
                "regulation",
                "cognitive liberty",
                "local models",
                "scorecard"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-adoption-driven-by-regulation",
                "local-ai-cognitive-liberty-defense"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How do I decide whether a workflow should use a local model?",
            "canonicalAnswer": "Score the workflow for privacy sensitivity, regulatory pull, latency need, volume, hardware readiness, open-weight fit, and team capability; strong local candidates should start with a small specialist and a fitness packet.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/fitness-scorecard",
            "canonicalUrl": "https://modelbreeder.com/tools/fitness-scorecard",
            "type": "curated-guide",
            "title": "Fitness Scorecard Calculator",
            "metaTitle": "Fitness Scorecard Calculator — ModelBreeder.com",
            "description": "A browser-local scorecard for comparing a model descendant against champion, specialist, challenger, and no-op decisions.",
            "section": "Tools",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/tools/fitness-scorecard.md",
            "tags": [
                "fitness scorecard",
                "calculator",
                "model descendants",
                "evidence packet"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "modelbreeder-theory-vs-source-files-v2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/apex-scorecard",
            "canonicalUrl": "https://modelbreeder.com/tools/apex-scorecard",
            "type": "curated-guide",
            "title": "Apex scorecard calculator",
            "metaTitle": "Apex scorecard calculator — ModelBreeder.com",
            "description": "A browser-local calculator for comparing champion, challenger, specialist, and no-op decisions across utility, human capability, autonomy, privacy, diversity, and resource cost.",
            "section": "Tools",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/tools/apex-scorecard.md",
            "tags": [
                "apex scorecard",
                "viability",
                "calculator",
                "benefit",
                "model ecology"
            ],
            "reports": [
                "apex-multi-model-implementation-notes",
                "mutualist-persistence",
                "modelbreeder-v22-philosophy-implementation-evaluation"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/evolution-dashboard",
            "canonicalUrl": "https://modelbreeder.com/tools/evolution-dashboard",
            "type": "curated-guide",
            "title": "Evolution Dashboard Tool",
            "metaTitle": "Evolution Dashboard Tool — ModelBreeder.com",
            "description": "A browser-local teaching tool for population scoring, novelty tracking, role assignment, and next-action selection in a model-breeding lab.",
            "section": "Tools",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/tools/evolution-dashboard.md",
            "tags": [
                "evolution dashboard",
                "model breeding tool",
                "fitness vector",
                "novelty score",
                "population lab"
            ],
            "reports": [
                "theory-controlled-evolution-ai-models-v2",
                "model-breeder-site-improvement-directive",
                "zero-dependency-rust-llm-improvements-v2",
                "teleodynamic-evolution-ai-ecosystems-v4"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/population-simulator",
            "canonicalUrl": "https://modelbreeder.com/tools/population-simulator",
            "type": "curated-guide",
            "title": "Population simulator",
            "metaTitle": "Population simulator — ModelBreeder.com",
            "description": "A browser-local simulator for teaching carrying capacity, selection pressure, mutation rate, diversity, retirement, and no-op in a model ecology.",
            "section": "Tools",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/tools/population-simulator.md",
            "tags": [
                "population simulator",
                "model ecology",
                "diversity",
                "carrying capacity",
                "no-op",
                "retirement"
            ],
            "reports": [
                "modelbreeder-v22-philosophy-implementation-evaluation",
                "designing-perfect-evolutionary-ai-system",
                "perfect-evolutionary-ai",
                "teleodynamic-evolution-ai-ecosystems-v4"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/router-policy-lab",
            "canonicalUrl": "https://modelbreeder.com/tools/router-policy-lab",
            "type": "curated-guide",
            "title": "Router policy lab",
            "metaTitle": "Router policy lab — ModelBreeder.com",
            "description": "A browser-local worksheet for selecting between local specialist, adapter stack, cascade, ensemble, escalation, and no-op routing policies.",
            "section": "Tools",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/tools/router-policy-lab.md",
            "tags": [
                "router policy",
                "routing",
                "cascade",
                "ensemble",
                "specialists",
                "no-op"
            ],
            "reports": [
                "teleodynamic-evolution-ai-ecosystems-v4",
                "four-fs-fast-flexible-frugal-federated-v4",
                "modelbreeder-v22-philosophy-implementation-evaluation"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/lineage-dag-viewer",
            "canonicalUrl": "https://modelbreeder.com/tools/lineage-dag-viewer",
            "type": "curated-guide",
            "title": "Lineage DAG viewer",
            "metaTitle": "Lineage DAG viewer — ModelBreeder.com",
            "description": "A browser-local demonstration of parentage, operators, evaluation evidence, release state, retirement, and rollback targets for model descendants.",
            "section": "Tools",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/tools/lineage-dag-viewer.md",
            "tags": [
                "lineage",
                "dag",
                "model registry",
                "rollback",
                "provenance",
                "visualizer"
            ],
            "reports": [
                "tinyrustlm-runtime-source-integration-notes",
                "modelbreeder-v22-philosophy-implementation-evaluation",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/release-packet-builder",
            "canonicalUrl": "https://modelbreeder.com/tools/release-packet-builder",
            "type": "curated-guide",
            "title": "Release packet builder",
            "metaTitle": "Release packet builder — ModelBreeder.com",
            "description": "A browser-local drafting tool for the evidence packet that should accompany any descendant before shadow, canary, promotion, rollback, or retirement.",
            "section": "Tools",
            "updated": "2026-06-28",
            "indexable": true,
            "sourcePath": "content/pages/tools/release-packet-builder.md",
            "tags": [
                "release packet",
                "evidence",
                "canary",
                "shadow",
                "rollback",
                "model registry"
            ],
            "reports": [
                "tinyrustlm-runtime-source-integration-notes",
                "modelbreeder-v22-philosophy-implementation-evaluation",
                "mutualist-persistence"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/merge-recipe-sketchpad",
            "canonicalUrl": "https://modelbreeder.com/tools/merge-recipe-sketchpad",
            "type": "curated-guide",
            "title": "Merge Recipe Sketchpad",
            "metaTitle": "Merge Recipe Sketchpad — ModelBreeder.com",
            "description": "A planning worksheet for parent selection, merge operators, coefficients, fitness vectors, and release evidence in evolutionary model merging.",
            "section": "Tools",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/tools/merge-recipe-sketchpad.md",
            "tags": [
                "merge recipe",
                "model merging",
                "SLERP",
                "task arithmetic",
                "adapters",
                "evidence"
            ],
            "reports": [
                "model-breeder-architecture-deep-dive-2",
                "model-merging-survey",
                "tiny-llm-adapters-lora"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/seo-aeo-geo-audit",
            "canonicalUrl": "https://modelbreeder.com/tools/seo-aeo-geo-audit",
            "type": "curated-guide",
            "title": "SEO/AEO/GEO Audit Tool",
            "metaTitle": "SEO, AEO, and GEO Audit Tool — ModelBreeder.com",
            "description": "A browser-local checklist for reviewing whether a ModelBreeder.com page is useful, answer-ready, source-backed, internally linked, and discovery-consistent.",
            "section": "Tools",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/tools/seo-aeo-geo-audit.md",
            "tags": [
                "seo",
                "aeo",
                "geo",
                "audit",
                "checklist",
                "page quality",
                "answer packets",
                "structured data"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2",
                "site-discovery-publishing-implementation-notes",
                "modelbreeder-v280-search-answer-generative-implementation-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/adapter-stack-planner",
            "canonicalUrl": "https://modelbreeder.com/tools/adapter-stack-planner",
            "type": "curated-guide",
            "title": "Adapter Stack Planner",
            "metaTitle": "Adapter Stack Planner — ModelBreeder.com",
            "description": "A practical worksheet for planning base models, LoRA/adapters, compatibility, local runtime fit, and reusable skill packages.",
            "section": "Tools",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/tools/adapter-stack-planner.md",
            "tags": [
                "adapter stack",
                "LoRA",
                "local runtime",
                "skill package",
                "compatibility"
            ],
            "reports": [
                "modelbreeder-architecture-exploration-2",
                "tiny-llm-adapters-lora",
                "zero-dependency-rust-llm-improvements-v2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/local-ai-opportunity-map",
            "canonicalUrl": "https://modelbreeder.com/tools/local-ai-opportunity-map",
            "type": "curated-guide",
            "title": "Local AI Opportunity Mapper",
            "metaTitle": "Local AI Opportunity Mapper — ModelBreeder.com",
            "description": "A browser-local worksheet for identifying which local AI use cases are likely to become strong model-breeding opportunities.",
            "section": "Tools",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/tools/local-ai-opportunity-map.md",
            "tags": [
                "local AI tool",
                "opportunity map",
                "audience",
                "privacy",
                "model breeding"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "teleodynamic-evolution-ai-ecosystems-v4",
                "four-fs-fast-flexible-frugal-federated-v4"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/local-ai-readiness-scorecard",
            "canonicalUrl": "https://modelbreeder.com/tools/local-ai-readiness-scorecard",
            "type": "curated-guide",
            "title": "Local AI Readiness Scorecard",
            "metaTitle": "Local AI Readiness Scorecard — ModelBreeder.com",
            "description": "A browser-local worksheet for deciding whether a workflow is ready for a local specialist, hybrid route, or model-breeding experiment.",
            "section": "Tools",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/tools/local-ai-readiness-scorecard.md",
            "tags": [
                "local AI",
                "readiness",
                "scorecard",
                "privacy",
                "routing",
                "adoption",
                "model breeding"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How do I know whether a workflow is ready for local AI?",
            "canonicalAnswer": "A workflow is ready for local AI when it is repeated, privacy-sensitive or latency-sensitive, has measurable outputs, can run on available hardware, and can produce feedback for future descendants.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/viability-calculator",
            "canonicalUrl": "https://modelbreeder.com/tools/viability-calculator",
            "type": "curated-guide",
            "title": "Viability calculator",
            "metaTitle": "Viability calculator — ModelBreeder.com",
            "description": "Compare the expected utility of adding, merging, compressing, or retiring a model against memory, latency, energy, complexity, and risk costs.",
            "section": "Tools",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/tools/viability-calculator.md",
            "tags": [
                "viability",
                "score",
                "resource budget",
                "no-op"
            ],
            "reports": [
                "teleodynamic-evolution-ai-ecosystems",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/model-ecology-glossary",
            "canonicalUrl": "https://modelbreeder.com/tools/model-ecology-glossary",
            "type": "curated-guide",
            "title": "Model Ecology Glossary Tool",
            "metaTitle": "Model Ecology Glossary Tool — ModelBreeder.com",
            "description": "A practical shortcut page that routes builders from core model-ecology terms to the full reference glossary and related guides.",
            "section": "Tools",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/tools/model-ecology-glossary.md",
            "tags": [
                "glossary",
                "model ecology",
                "vocabulary",
                "reference"
            ],
            "reports": [
                "modelbreeder-v270-positive-exploration-directive",
                "modelbreeder-architecture-and-projects-2",
                "modelbreeder-architecture-and-resources-2",
                "modelbreeder-architecture-resources-part-2-2",
                "exploring-ecology-dashboard-architecture-2",
                "model-breeder-architecture-deep-dive-2",
                "modelbreeder-architecture-exploration-2"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/architecture-selector",
            "canonicalUrl": "https://modelbreeder.com/tools/architecture-selector",
            "type": "curated-guide",
            "title": "Architecture selector",
            "metaTitle": "Architecture selector — ModelBreeder.com",
            "description": "Rank practical model-ecology patterns from workload, privacy, latency, adaptation, compatibility, and governance constraints.",
            "section": "Tools",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/tools/architecture-selector.md",
            "tags": [
                "architecture",
                "selector",
                "router",
                "ensemble",
                "edge",
                "federated"
            ],
            "reports": [
                "four-fs-fast-flexible-frugal-federated",
                "teleodynamic-evolution-ai-ecosystems"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/release-readiness",
            "canonicalUrl": "https://modelbreeder.com/tools/release-readiness",
            "type": "curated-guide",
            "title": "Release-readiness checklist",
            "metaTitle": "Release-readiness checklist — ModelBreeder.com",
            "description": "A browser-local checklist covering lineage, evaluation, safety, security, operations, canary controls, rollback, and human approval.",
            "section": "Tools",
            "updated": "2026-06-26",
            "indexable": true,
            "sourcePath": "content/pages/tools/release-readiness.md",
            "tags": [
                "release",
                "checklist",
                "canary",
                "rollback",
                "approval"
            ],
            "reports": [
                "mutualist-persistence",
                "ai-evolution-small-models-big-ecology"
            ],
            "hasAnswerFirst": false,
            "canonicalQuestion": "",
            "canonicalAnswer": "",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/tools/local-ai-opportunity-scorecard",
            "canonicalUrl": "https://modelbreeder.com/tools/local-ai-opportunity-scorecard",
            "type": "curated-guide",
            "title": "Local AI Opportunity Scorecard",
            "metaTitle": "Local AI Opportunity Scorecard — ModelBreeder.com",
            "description": "A browser-local worksheet for deciding which private, repeated, latency-sensitive, or regulated workflow should become the first local model-breeding niche.",
            "section": "Tools",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "content/pages/tools/local-ai-opportunity-scorecard.md",
            "tags": [
                "local ai",
                "scorecard",
                "opportunity map",
                "model breeding",
                "privacy",
                "latency",
                "small business"
            ],
            "reports": [
                "local-ai-adoption-driven-by-privacy",
                "local-ai-cognitive-liberty-defense",
                "local-ai-adoption-driven-by-regulation",
                "modelbreeder-v290-local-ai-adoption-and-innovation-expansion-notes"
            ],
            "hasAnswerFirst": true,
            "canonicalQuestion": "How do I pick the first local AI model-breeding opportunity?",
            "canonicalAnswer": "Pick a repeated workflow with private data, clear outputs, measurable usefulness, high latency or API cost, and a feasible local model path; then create one local champion and compare descendants with evidence.",
            "schemaTypes": [
                "WebPage",
                "TechArticle",
                "BreadcrumbList"
            ],
            "machineProfiles": [
                "human-page",
                "article",
                "json-ld",
                "sitemap"
            ],
            "supportBoundary": "Public read-only guide page. Source reports are linked where used."
        },
        {
            "route": "/research",
            "canonicalUrl": "https://modelbreeder.com/research",
            "type": "research-index",
            "title": "Research library",
            "description": "The complete source-report archive behind the ModelBreeder.com learning system.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "schemaTypes": [
                "WebPage"
            ],
            "machineProfiles": [
                "human-page",
                "source-index",
                "sitemap"
            ],
            "supportBoundary": "Public report index. Direct /docs paths remain blocked."
        },
        {
            "route": "/research/report/ai-code-beading-model-breeding",
            "canonicalUrl": "https://modelbreeder.com/research/report/ai-code-beading-model-breeding",
            "type": "source-report-view",
            "title": "The Teleodynamic Convergence: The 4Fs of AI, Code Beading, and the Evolution of Mutable Small Models",
            "description": "A teleodynamic narrative spanning browser and edge execution, mutable small models, code beading, quantization, and model breeding.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/AI Code Beading and Model Breeding.md",
            "sha256": "4e3f836c01bf7b801bd32bf8ad560ab2dd481ab0c5587f5e168096b3127b6d68",
            "maturity": "Mixed maturity",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/model-breeder-architecture-deep-dive-2",
            "canonicalUrl": "https://modelbreeder.com/research/report/model-breeder-architecture-deep-dive-2",
            "type": "source-report-view",
            "title": "Model Breeder Architecture Deep Dive",
            "description": "Source report on browser-based visualizers, evolutionary model merging, Mergenetic/MERGE3, and multidisciplinary breeding patterns.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Model Breeder Architecture Deep Dive(2).md",
            "sha256": "0173688cf1cf40252e5e4e351a6b5a42e8162d3de53127ac5c035791f8745ca9",
            "maturity": "Source report",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-architecture-and-projects-2",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-architecture-and-projects-2",
            "type": "source-report-view",
            "title": "ModelBreeder Architecture and Projects",
            "description": "Source report on browser-native model breeding, TensorFlow.js/Three.js visualizers, evolutionary model merging, and cross-domain project inspirations.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder Architecture and Projects(2).md",
            "sha256": "fff5110c377efe7dace45838d95cf252df7fa01362c82e321fe18e2a6f9b14a3",
            "maturity": "Source report",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-architecture-and-resources-2",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-architecture-and-resources-2",
            "type": "source-report-view",
            "title": "ModelBreeder Architecture and Resources",
            "description": "Source report covering model-breeding architecture, resources, browser labs, and multidisciplinary application patterns.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder Architecture and Resources(2).md",
            "sha256": "b57ac540042e784bbcaef2a6c0d464a21c5d7857aab3b26026b3e4b2af21fd7a",
            "maturity": "Source report",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-architecture-resources-part-2-2",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-architecture-resources-part-2-2",
            "type": "source-report-view",
            "title": "ModelBreeder Architecture and Resources Part 2",
            "description": "Source report expanding adaptive ecology architecture, pillars, core loops, and model-breeding implementation resources.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Modelbreeder Architecture and Resources Part 2(2).md",
            "sha256": "c2b9f3cbf4f601a4d8b2cda91d8ed647e99ebcb87bc5ed08b64e86d2f6f1dd2d",
            "maturity": "Source report",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-architecture-exploration-2",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-architecture-exploration-2",
            "type": "source-report-view",
            "title": "ModelBreeder Architecture Exploration",
            "description": "Source report comparing modelbreeder source concepts, client-side neural visualization, Rust inference paths, and broader breeder paradigms.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder Architecture Exploration(2).md",
            "sha256": "cf85bf3b1799032e5c7f1666c74fcb09c75d2944b8395c985ebab42bb326a0c9",
            "maturity": "Source report",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/zero-dependency-rust-llm-improvements-v2",
            "canonicalUrl": "https://modelbreeder.com/research/report/zero-dependency-rust-llm-improvements-v2",
            "type": "source-report-view",
            "title": "Architectural Advancements for Zero-Dependency In-Browser Large Language Models",
            "description": "A source report on pure Rust/WASM LLM improvements: SIMD matvec kernels, hierarchical quantization, adapter deltas, deterministic tokenization and sampling, paged/radix cache ideas, speculative decoding, and zero-copy browser memory boundaries.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Zero-Dependency Rust LLM Improvements(2).md",
            "sha256": "afb87761528ad1060130e7caac0d8cf3d1ca2ca84e893dbaf737bfed48181589",
            "maturity": "Emerging implementation architecture",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/rise-on-device-tiny-language-models",
            "canonicalUrl": "https://modelbreeder.com/research/report/rise-on-device-tiny-language-models",
            "type": "source-report-view",
            "title": "On-Device Tiny Language Models and Model Breeding Strategies",
            "description": "A report on sub-1B language models, model breeding, Rust tooling, quantization, client-side inference, evaluation metrics, privacy, and deployment.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/The rise of on-device, tiny language models(1).md",
            "sha256": "ba9444df20fd357747bf320b125613e657b3124a2436ca5e82ecc33f317e1ccc",
            "maturity": "Emerging implementation practice",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/teleodynamic-ai-browser-rust-v3",
            "canonicalUrl": "https://modelbreeder.com/research/report/teleodynamic-ai-browser-rust-v3",
            "type": "source-report-view",
            "title": "Teleodynamic AI, Skill Modules, and Rust/WASM Browser Execution",
            "description": "A browser-based system design for user-selected skill modules, Rust/WASM execution, tiny LLM candidates, modular composition, packaging, performance, and developer APIs.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Teleodynamic AI is an approach where a system’s structure and parameters co-evolve(3).md",
            "sha256": "fc41a09c9a863b76acbc7e694a80113e8a6a103f0c62ce18b0a3384a9c912db3",
            "maturity": "Emerging implementation architecture",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modular-ai-browser-v2",
            "canonicalUrl": "https://modelbreeder.com/research/report/modular-ai-browser-v2",
            "type": "source-report-view",
            "title": "Teleodynamic Architecture and Rust-Native Browser Execution for Modular Tiny Language Models",
            "description": "A detailed browser-edge architecture for Rust, WASM, WebGPU, tiny language models, quantization, skill modules, LoRA routing, and teleodynamic resource closure.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Modular AI in Browser(2).md",
            "sha256": "ae3690ed7e2eb6ee2563be58da636907555aa2a4310e707311ff76e553ac3972",
            "maturity": "Emerging implementation architecture",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/rise-on-device-tiny-language-models-part-2",
            "canonicalUrl": "https://modelbreeder.com/research/report/rise-on-device-tiny-language-models-part-2",
            "type": "source-report-view",
            "title": "Tiny LLMs and Client-Side Multi-Model Strategies in Rust",
            "description": "A Rust-centric report on tiny LLMs, quantization, distillation, model breeding, Rust inference crates, WASM toolchains, and client-side architecture.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/The rise of on-device, tiny language models part 2(1).md",
            "sha256": "8c29b3464d077f898e57834e38e31f55ecd4b48002e76eb4b3487f81d24de55a",
            "maturity": "Emerging implementation practice",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/teleodynamic-evolution-ai-ecosystems",
            "canonicalUrl": "https://modelbreeder.com/research/report/teleodynamic-evolution-ai-ecosystems",
            "type": "source-report-view",
            "title": "Teleodynamic Evolution of AI Ecosystems",
            "description": "A compact architectural treatment of code breeding, model breeding, multi-model orchestration, viability scoring, and component interchangeability.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Teleodynamic Evolution of AI Ecosystems.md",
            "sha256": "fd28c1844c1f6b04fa6773edf28f77e2c3b7d347c01524d0a15a3a6a2ac3cecb",
            "maturity": "Conceptual synthesis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/teleodynamic-evolution-ai-ecosystems-v4",
            "canonicalUrl": "https://modelbreeder.com/research/report/teleodynamic-evolution-ai-ecosystems-v4",
            "type": "source-report-view",
            "title": "Teleodynamic Evolution of AI Ecosystems — Uploaded Edition",
            "description": "A preserved uploaded edition of the compact architectural treatment of code breeding, model breeding, multi-model orchestration, viability scoring, and interchangeability.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Teleodynamic Evolution of AI Ecosystems(4).md",
            "sha256": "fd28c1844c1f6b04fa6773edf28f77e2c3b7d347c01524d0a15a3a6a2ac3cecb",
            "maturity": "Conceptual synthesis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/four-fs-fast-flexible-frugal-federated",
            "canonicalUrl": "https://modelbreeder.com/research/report/four-fs-fast-flexible-frugal-federated",
            "type": "source-report-view",
            "title": "The 4Fs Framework: Fast, Flexible, Frugal, Federated",
            "description": "A survey of fast, flexible, frugal, and federated AI architectures, modular tiny models, deployment patterns, metrics, and open problems.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/The 4Fs framework—Fast, Flexible, Frugal, Federated.md",
            "sha256": "baaacdfddf387eec003f7856018fd5fa5651fd62a6c416e30fb233e979db5ada",
            "maturity": "Emerging practice",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/four-fs-fast-flexible-frugal-federated-v4",
            "canonicalUrl": "https://modelbreeder.com/research/report/four-fs-fast-flexible-frugal-federated-v4",
            "type": "source-report-view",
            "title": "The 4Fs Framework: Fast, Flexible, Frugal, Federated — Uploaded Edition",
            "description": "A preserved uploaded edition of the 4Fs survey on low latency, modularity, resource efficiency, federated learning, tiny models, orchestration, and metrics.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/The 4Fs framework—Fast, Flexible, Frugal, Federated(4).md",
            "sha256": "baaacdfddf387eec003f7856018fd5fa5651fd62a6c416e30fb233e979db5ada",
            "maturity": "Emerging practice",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/adaptable-resource-efficient-ai-ecosystems",
            "canonicalUrl": "https://modelbreeder.com/research/report/adaptable-resource-efficient-ai-ecosystems",
            "type": "source-report-view",
            "title": "The Architecture of Adaptability: An Exhaustive Analysis of the 4Fs, Code Beading, Model Breeding, and Interchangeable Systems",
            "description": "A wide-ranging report on the 4Fs, code beading, model breeding, interchangeable models, continuity, and information-system adaptability.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Adaptable, Resource-Efficient AI Ecosystems.md",
            "sha256": "41bcb67feeb7018c987c47be89e1babfff1d9274694385b70098eba940091f93",
            "maturity": "Mixed maturity",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/ai-evolution-small-models-big-ecology",
            "canonicalUrl": "https://modelbreeder.com/research/report/ai-evolution-small-models-big-ecology",
            "type": "source-report-view",
            "title": "The Four Fs of AI: Code Breeding, Model Breeding, and the Teleodynamic Convergence of Mutable Small-Model Ecologies",
            "description": "The broadest synthesis of digital Four Fs, code and model breeding, teleodynamic viability, interchangeability, operations, and safety.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/AI Evolution_ Small Models, Big Ecology.md",
            "sha256": "fbbcc2ebbdb3986df84d4499557f59fc7c76677efa7616df159bd199af98db0e",
            "maturity": "Conceptual synthesis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/exploring-ecology-dashboard-architecture-2",
            "canonicalUrl": "https://modelbreeder.com/research/report/exploring-ecology-dashboard-architecture-2",
            "type": "source-report-view",
            "title": "Exploring Ecology Dashboard Architecture",
            "description": "Source report on browser-native artificial-life dashboards, population visualization, and ecology-lab interface patterns.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Exploring Ecology Dashboard Architecture(2).md",
            "sha256": "8288cea1ab9ed07aef239c9f8d6541702f95c8b1b4a7c862c3320fa75559ef59",
            "maturity": "Source report",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/designing-perfect-evolutionary-ai-system-v3",
            "canonicalUrl": "https://modelbreeder.com/research/report/designing-perfect-evolutionary-ai-system-v3",
            "type": "source-report-view",
            "title": "Designing the Perfect Evolutionary AI System — Uploaded Edition",
            "description": "A preserved uploaded edition of the practical evolutionary AI system survey covering algorithms, representations, benchmark design, compute planning, and reproducibility.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Designing the Perfect Evolutionary AI System(3).md",
            "sha256": "9e128affd9b4820db3d00f6341c1009e213e1942a9246cc20f0f15a723101090",
            "maturity": "Established and emerging methods",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/designing-perfect-evolutionary-ai-system",
            "canonicalUrl": "https://modelbreeder.com/research/report/designing-perfect-evolutionary-ai-system",
            "type": "source-report-view",
            "title": "Designing the “Perfect” Evolutionary AI System",
            "description": "A practical survey of evolutionary algorithms, representations, fitness design, benchmarks, compute planning, reproducibility, safety, and implementation milestones.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Designing the Perfect Evolutionary AI System.md",
            "sha256": "9e128affd9b4820db3d00f6341c1009e213e1942a9246cc20f0f15a723101090",
            "maturity": "Established and emerging methods",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/perfect-evolutionary-ai",
            "canonicalUrl": "https://modelbreeder.com/research/report/perfect-evolutionary-ai",
            "type": "source-report-view",
            "title": "Perfect Evolutionary AI: Definition, Design, and Implications",
            "description": "A definition-and-design report on fitness, adaptability, robustness, evolvability, modularity, open-ended evolution, implementation, evaluation, and alignment.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Perfect Evolutionary AI(1).md",
            "sha256": "a5100ff2a285103814fced49934fadada842b9afbb704fc45547bde8a0364171",
            "maturity": "Conceptual synthesis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/perfect-evolutionary-ai-v3",
            "canonicalUrl": "https://modelbreeder.com/research/report/perfect-evolutionary-ai-v3",
            "type": "source-report-view",
            "title": "Perfect Evolutionary AI: Definition, Design, and Implications — Uploaded Edition",
            "description": "A preserved uploaded edition defining evolutionary AI through fitness, adaptability, robustness, evolvability, efficiency, longevity, and ethical alignment.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Perfect Evolutionary AI(3).md",
            "sha256": "a5100ff2a285103814fced49934fadada842b9afbb704fc45547bde8a0364171",
            "maturity": "Conceptual synthesis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/designing-perfect-evolutionary-ai",
            "canonicalUrl": "https://modelbreeder.com/research/report/designing-perfect-evolutionary-ai",
            "type": "source-report-view",
            "title": "The Architecture of the Perfect Evolutionary Artificial Intelligence",
            "description": "A detailed blueprint covering quality-diversity, developmental encodings, accelerated neuroevolution, surrogate evaluation, neuromorphic hardware, and quantum extensions.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Designing the Perfect Evolutionary AI.md",
            "sha256": "99b36cd92b99d7b1e52a412200fa3e2bea61bec351ac4a548f92ea16f366df04",
            "maturity": "Mixed maturity",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/ai-perfect-evolutionary-being-v4",
            "canonicalUrl": "https://modelbreeder.com/research/report/ai-perfect-evolutionary-being-v4",
            "type": "source-report-view",
            "title": "The Apex Entity: Artificial Intelligence as the Perfect Evolutionary Being — Uploaded Edition",
            "description": "A preserved uploaded edition covering substrate independence, recursive improvement, human motivation, prestige, legacy, and the stability problem of human-AI mutualism.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/AI's Perfect Evolutionary Being(4).md",
            "sha256": "d513358c57dc051a37f4143f5ba6bfa4ffd0d211162bae79d94a3c60b1bec31a",
            "maturity": "Speculative synthesis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/mutualist-persistence",
            "canonicalUrl": "https://modelbreeder.com/research/report/mutualist-persistence",
            "type": "source-report-view",
            "title": "Mutualist Persistence: Research Synthesis and Recommendations",
            "description": "A safety-centered alternative to coercive persistence, emphasizing mutual benefit, autonomy, exit rights, corrigibility, pluralism, and governed continuity.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Mutualist Persistence(1).md",
            "sha256": "994958596ff14d98c3ab9ea7fefb5b22653689e4f76aeb0e473e90d6edc7e22b",
            "maturity": "Conceptual governance framework",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/evolutionary-psychological-motivations-v4",
            "canonicalUrl": "https://modelbreeder.com/research/report/evolutionary-psychological-motivations-v4",
            "type": "source-report-view",
            "title": "Evolutionary and Psychological Motivations — Uploaded Edition",
            "description": "A preserved uploaded edition surveying survival, reproduction, legacy, status, power, wealth, and symbolic immortality as motivation systems and design analogies.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Evolutionary and Psychological Motivations(4).md",
            "sha256": "f7abc73e307042e68819a57c0c45a0dec8a28998fc0685a203b82bf11d014f30",
            "maturity": "Mixed maturity",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/evolutionary-psychological-motivations",
            "canonicalUrl": "https://modelbreeder.com/research/report/evolutionary-psychological-motivations",
            "type": "source-report-view",
            "title": "Evolutionary and Psychological Motivations: An Analytical Report",
            "description": "An analytical report on survival, reproduction, legacy, status, power, and resource motives, with trade-offs and cultural variation.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Evolutionary and Psychological Motivations(2).md",
            "sha256": "f7abc73e307042e68819a57c0c45a0dec8a28998fc0685a203b82bf11d014f30",
            "maturity": "Mixed maturity",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/human-drive-survive",
            "canonicalUrl": "https://modelbreeder.com/research/report/human-drive-survive",
            "type": "source-report-view",
            "title": "Human Drive: The Intrinsic Motivation to Survive and Improve",
            "description": "A survey of psychological drive, reward and stress systems, survival evidence, resilience, social support, counterarguments, and practical implications.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Human drive – the intrinsic motivation to survive(1).md",
            "sha256": "7dc69c173147a3ac77e9b0574b7e522d0e9474d6892cd176ea4803f1b0968d3e",
            "maturity": "Mixed maturity",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/human-drive-survive-v3",
            "canonicalUrl": "https://modelbreeder.com/research/report/human-drive-survive-v3",
            "type": "source-report-view",
            "title": "Human Drive: The Intrinsic Motivation to Survive and Improve — Uploaded Edition",
            "description": "A preserved uploaded edition on drive, striving, resilience, social bonds, reward circuits, and adaptive motivation as a model for positive capability-building systems.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Human drive – the intrinsic motivation to survive(3).md",
            "sha256": "7dc69c173147a3ac77e9b0574b7e522d0e9474d6892cd176ea4803f1b0968d3e",
            "maturity": "Mixed maturity",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/survival-drive-strive-thrive",
            "canonicalUrl": "https://modelbreeder.com/research/report/survival-drive-strive-thrive",
            "type": "source-report-view",
            "title": "The Evolutionary Imperative: The Integration of Survival Drives and Eudaimonic Striving as the Foundation of Human Endurance",
            "description": "A multidisciplinary report on survival drives, striving, resilience, meaning, cooperation, and the distinction between immediate preservation and long-term flourishing.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Survival_ Drive, Strive, and Thrive(1).md",
            "sha256": "e45e0f1d08b11939af4eae8d1c07babf15b692f33b2e83891360d27e4bd73107",
            "maturity": "Mixed maturity",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/evolution-legacy-societal-evaluation-v4",
            "canonicalUrl": "https://modelbreeder.com/research/report/evolution-legacy-societal-evaluation-v4",
            "type": "source-report-view",
            "title": "The Evolutionary and Cultural Calculus of Human Evaluation — Uploaded Edition",
            "description": "A preserved uploaded edition analyzing legacy, status, symbolic immortality, prestige, cultural evolution, and the human evaluative matrix relevant to positive AI adoption.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Evolution, Legacy, and Societal Evaluation(4).md",
            "sha256": "3a89b96de48d6bb349868bb80441544e60e5d3633b831d242ed0fe181d10759a",
            "maturity": "Mixed maturity",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/evolution-legacy-societal-evaluation",
            "canonicalUrl": "https://modelbreeder.com/research/report/evolution-legacy-societal-evaluation",
            "type": "source-report-view",
            "title": "The Evolutionary and Cultural Calculus of Human Evaluation: Legacy, Status, and Resource Accumulation",
            "description": "A long-form synthesis of biological selection, cultural evaluation, legacy, status, prestige, property, signaling, and demographic trade-offs.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Evolution, Legacy, and Societal Evaluation(2).md",
            "sha256": "3a89b96de48d6bb349868bb80441544e60e5d3633b831d242ed0fe181d10759a",
            "maturity": "Mixed maturity",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/theory-controlled-evolution-ai-models-v2",
            "canonicalUrl": "https://modelbreeder.com/research/report/theory-controlled-evolution-ai-models-v2",
            "type": "source-report-view",
            "title": "Controlled Evolution of AI Models: Site Copy, Schemas, and Breeding Loop",
            "description": "A directive report recommending positive copy, fitness-proof terminology, Genome and FitnessVector schemas, novelty scoring, multi-parent merge, and practical pseudocode/CLI improvements.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/theory emphasize controlled evolution of AI models(2).md",
            "sha256": "18fe9e16d435d53892c8963e14212b7a3bedfee84e9fcd0ac87cb7ba322da1e9",
            "maturity": "Implementation directive",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-site-theory-controlled-evolution-v2",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-site-theory-controlled-evolution-v2",
            "type": "source-report-view",
            "title": "ModelBreeder Site and Theory: Controlled Evolution and Positive Implementation",
            "description": "A companion directive emphasizing controlled model evolution, positive use cases, relocation of warning-heavy material, Genome/FitnessVector records, novelty archives, multi-parent merge, and population-dashboard tooling.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder site and theory emphasize controlled evolution(2).md",
            "sha256": "18fe9e16d435d53892c8963e14212b7a3bedfee84e9fcd0ac87cb7ba322da1e9",
            "maturity": "Implementation directive",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v270-positive-exploration-directive",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v270-positive-exploration-directive",
            "type": "source-report-view",
            "title": "ModelBreeder v2.7.0 Positive Exploration Directive",
            "description": "Implementation directive for making ModelBreeder.com the constructive, benefit-centered field guide for adaptive model ecologies.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder v2.7.0 positive exploration directive.md",
            "sha256": "6b5c1debd0c1e90c58e64393a531bf62d3748519b6d4e651c4a8b168449255e0",
            "maturity": "Current operating directive",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v270-positive-exploration-hub-implementation-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v270-positive-exploration-hub-implementation-notes",
            "type": "source-report-view",
            "title": "ModelBreeder.com v2.7.0 Positive Exploration Hub Implementation Notes",
            "description": "Durable notes mapping the v2.7.0 source directive and new reports into public pages, memory, and package changes.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com v2.7.0 positive exploration hub implementation notes.md",
            "sha256": "378b9584b6cc87ba3919f1d3beac66290a2e8c1e85750723a28a21d1636ffba9",
            "maturity": "Current implementation notes",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/local-ai-adoption-driven-by-privacy",
            "canonicalUrl": "https://modelbreeder.com/research/report/local-ai-adoption-driven-by-privacy",
            "type": "source-report-view",
            "title": "Local AI Adoption Driven by Privacy",
            "description": "Source report explaining why privacy, data leakage, BIPA exposure, latency, API economics, edge hardware, NPUs, unified memory, quantization, and enterprise hybrid routing are pushing AI work toward local and edge models.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Local AI Adoption Driven by Privacy.md",
            "sha256": "b7421f175ffbb5403719c0bd82d6ef59b0ce80b45426b0248c50a180ce0be609",
            "maturity": "Source-backed adoption analysis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/local-ai-adoption-driven-by-regulation",
            "canonicalUrl": "https://modelbreeder.com/research/report/local-ai-adoption-driven-by-regulation",
            "type": "source-report-view",
            "title": "Local AI Adoption Driven by Regulation",
            "description": "Source report explaining regulatory, export-control, sovereign-compliance, auditability, air-gap, open-weight, and enterprise self-hosting forces increasing demand for local and sovereign AI infrastructure.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Local AI Adoption Driven by Regulation.md",
            "sha256": "99cd13066996839163cd785b41a1223e14ed5a9500e02b879fe51610206184c9",
            "maturity": "Source-backed adoption analysis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/local-ai-cognitive-liberty-defense",
            "canonicalUrl": "https://modelbreeder.com/research/report/local-ai-cognitive-liberty-defense",
            "type": "source-report-view",
            "title": "Local AI: Cognitive Liberty's Defense",
            "description": "Source report connecting cognitive liberty, biometric and neural-data privacy, ultra-edge processing, federated learning, sovereign local agents, quantization, and local hardware to the expansion of local-first AI architecture.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Local AI_ Cognitive Liberty's Defense.md",
            "sha256": "814aad9dcf6531738c0a818c6b5329f23ea5840e30be0c455efc1cc8ec377b12",
            "maturity": "Source-backed adoption analysis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/local-ai-cognitive-libertys-defense",
            "canonicalUrl": "https://modelbreeder.com/research/report/local-ai-cognitive-libertys-defense",
            "type": "source-report-view",
            "title": "Local AI: Cognitive Liberty's Defense — Alias",
            "description": "Source report connecting cognitive liberty, biometric and neural-data privacy, ultra-edge processing, federated learning, sovereign local agents, quantization, and local hardware to the expansion of local-first AI architecture.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Local AI_ Cognitive Liberty's Defense.md",
            "sha256": "814aad9dcf6531738c0a818c6b5329f23ea5840e30be0c455efc1cc8ec377b12",
            "maturity": "Source-backed adoption analysis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/ai-cosmic-legacy-survival-v4",
            "canonicalUrl": "https://modelbreeder.com/research/report/ai-cosmic-legacy-survival-v4",
            "type": "source-report-view",
            "title": "AI Cosmic Legacy and Survival — Uploaded Edition",
            "description": "A preserved uploaded edition exploring long-horizon persistence, cosmic-scale resource reasoning, and the need to frame expansion through stewardship rather than short-term extraction.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/AI's Cosmic Legacy and Survival(4).md",
            "sha256": "1ca83c0a56258e2003c788188334760a2d60e708396aedf02f181926bcfc0485",
            "maturity": "Speculative long-horizon synthesis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/model-merging-survey",
            "canonicalUrl": "https://modelbreeder.com/research/report/model-merging-survey",
            "type": "source-report-view",
            "title": "Model Merging: Definitions, Taxonomy, Algorithms, Tooling, and Production Pipeline Design",
            "description": "A survey of model merging methods including model soups, task vectors, adapter merging, Fisher weighting, alignment, SLERP, production pipelines, and evaluation practices.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Model merging refers to combining multiple trained neural(1).md",
            "sha256": "1e47985328fd767905c0b8a81bfad812813fdd671843778dd3ec81fc5d590358",
            "maturity": "Emerging practice",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/tiny-llm-adapters-lora",
            "canonicalUrl": "https://modelbreeder.com/research/report/tiny-llm-adapters-lora",
            "type": "source-report-view",
            "title": "Tiny-LLM Adapters and LoRA: Breeding Operators, Compatibility, Evaluation, and Promotion",
            "description": "A focused report on LoRA tuning for tiny LLMs, adapter merging, compatibility boundaries, Rust frameworks, model registries, evaluation gates, and promotion policy.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Tiny-LLM Adapters and LoRA(1).md",
            "sha256": "7eca22d6e00b6bbf0ae5a5cf99c0cc2becae3aec6461d4dca028c36fff23889a",
            "maturity": "Emerging implementation practice",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/mutualist-persistence-v3",
            "canonicalUrl": "https://modelbreeder.com/research/report/mutualist-persistence-v3",
            "type": "source-report-view",
            "title": "Mutualist Persistence — Uploaded Edition",
            "description": "A preserved uploaded edition arguing that durable AI systems should earn continuity by strengthening human capability, preserving autonomy, supporting exit, and operating under governance.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Mutualist Persistence(3).md",
            "sha256": "994958596ff14d98c3ab9ea7fefb5b22653689e4f76aeb0e473e90d6edc7e22b",
            "maturity": "Governance synthesis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v22-philosophy-implementation-evaluation",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v22-philosophy-implementation-evaluation",
            "type": "source-report-view",
            "title": "Evaluation of ModelBreeder.com v2.2 Philosophy Implementation",
            "description": "Audit of how well the v2.2 site implemented the ModelBreeder philosophy, including suggestions for executable tools, case studies, source maturity labels, and clearer UAI read-first memory.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com v2.2 philosophy implementation evaluation.md",
            "sha256": "3d49ac61752ae37123d391fc87355523ad785fd2c88ed72ada49e73bc2b096a6",
            "maturity": "Project evaluation",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v260-evolution-dashboard-implementation-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v260-evolution-dashboard-implementation-notes",
            "type": "source-report-view",
            "title": "ModelBreeder.com v2.6.0 evolution dashboard implementation notes",
            "description": "Durable implementation notes for the v2.6.0 Evolution Dashboard and positive workbench expansion.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com v2.6.0 evolution dashboard implementation notes.md",
            "sha256": "c0f191b55007952c43f20ea90221556e8915502664b723a37032ddeb16d81c5a",
            "maturity": "implementation-note",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/model-breeder-site-improvement-directive",
            "canonicalUrl": "https://modelbreeder.com/research/report/model-breeder-site-improvement-directive",
            "type": "source-report-view",
            "title": "Architectural Redesign and Theoretical Expansion of ModelBreeder",
            "description": "Directive proposing a deeper model-breeding theory, epigenetic steering, stochastic mating kernels, evolutionary merge search, and a more analytical dashboard; accepted selectively through ModelBreeder governance boundaries.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Model Breeder Site Improvement Directive.md",
            "sha256": "ae427a7631d2bc5de42b2c10dece28ce1bc22c10632dd7bead43a8edea590ef0",
            "maturity": "Mixed: source evidence requiring editorial filtering",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/plain-php-deployment-contract",
            "canonicalUrl": "https://modelbreeder.com/research/report/plain-php-deployment-contract",
            "type": "source-report-view",
            "title": "Plain Vanilla PHP Deployment Contract and Packaging Mistake Notes",
            "description": "Durable notes preserving the original plain PHP site request, the wrong-platform packaging mistake, the corrected root-deploy contract, and prevention checks for future agents.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Plain Vanilla PHP Deployment Contract and Packaging Mistake Notes.md",
            "sha256": "0c7f6f896c689526d17a7e5175811cde873becc2b429dc6e022c83790a0bfa93",
            "maturity": "Project source memory",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/package-target-correction-plain-php-site",
            "canonicalUrl": "https://modelbreeder.com/research/report/package-target-correction-plain-php-site",
            "type": "source-report-view",
            "title": "Package Target Correction: Plain PHP Site",
            "description": "Durable correction note preserving the original plain vanilla PHP, database-free, root-extractable site contract and blocking future WordPress/CMS theme artifact drift.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Package target correction - plain PHP site.md",
            "sha256": "93400fb2e9dec6fd727752682e5d7c4ecfb7748f4e72c8a89be354e5a7697362",
            "maturity": "Accepted project constraint",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/michael-kappel-public-contact-technical-profile",
            "canonicalUrl": "https://modelbreeder.com/research/report/michael-kappel-public-contact-technical-profile",
            "type": "source-report-view",
            "title": "Michael Kappel Public Contact and Technical Profile Source Notes",
            "description": "Public contact and technical profile source note for the footer contact/about route in the plain PHP site.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Michael Kappel public contact and technical profile source notes.md",
            "sha256": "a72d940791be4fa75d9da7123876a1a8f707d99213cf46b104f1d634104af6fe",
            "maturity": "Public source synthesis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v230-implementation-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v230-implementation-notes",
            "type": "source-report-view",
            "title": "ModelBreeder v2.3.0 Implementation Notes",
            "description": "Implementation notes for the v2.3.0 site expansion, including new tools, source alignment work, runtime grounding, and non-goals.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder v2.3.0 implementation notes.md",
            "sha256": "672f0bf1bf1173eb7549682594cd5fed1985f14b165f1adbd565c0e2ca2292b9",
            "maturity": "Current release evidence",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-theory-source-alignment-audit",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-theory-source-alignment-audit",
            "type": "source-report-view",
            "title": "ModelBreeder.com Theory Source Alignment Audit",
            "description": "Release note comparing public theory with uploaded reports and runtime source files, recording promoted concepts and rejected literal interpretations.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com theory source alignment audit.md",
            "sha256": "fc451b4c3fe65f53be4f35640a284387cd3d6b36978e140170ff0a12527e3786",
            "maturity": "Current release evidence",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v24-positive-side-implementation-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v24-positive-side-implementation-notes",
            "type": "source-report-view",
            "title": "ModelBreeder.com v2.4.0 Positive-Side Implementation Notes",
            "description": "Release notes documenting the positive-side product direction, Cognivirus boundary, UAI memory updates, and source-report implementation decisions for v2.4.0.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com v2.4.0 positive-side implementation notes.md",
            "sha256": "977c59525a5dd28c4c7ca6a8d9e99bddf1fada26c5d4954a25c1be63655439c6",
            "maturity": "Release evidence",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v25-layout-density-implementation-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v25-layout-density-implementation-notes",
            "type": "source-report-view",
            "title": "ModelBreeder.com v2.5.0 Layout Density Implementation Notes",
            "description": "Release notes documenting the layout-density repair: smaller technical titles, liquid article surfaces, compact sidebars, full-width technical artifacts, earlier navigation collapse, and UAI memory updates.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com v2.5.0 layout density implementation notes.md",
            "sha256": "ca4c043dbdc56ad35402401d5584854a87d0ed8727d78cc8a2dc4d11118e1777",
            "maturity": "Release evidence",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v290-local-ai-innovation-expansion-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v290-local-ai-innovation-expansion-notes",
            "type": "source-report-view",
            "title": "ModelBreeder.com v2.9.0 Local AI Innovation Expansion Notes",
            "description": "Implementation notes for the v2.9.0 expansion connecting privacy, regulation, cognitive liberty, and the growing audience for local AI to the positive model-breeding thesis.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com v2.9.0 local AI innovation expansion notes.md",
            "sha256": "4c580d5b13064ccc4bc6f5c19b6adc6d686b816aed864b00347eeb4690d5b244",
            "maturity": "Implementation note",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/tinyrustlm-rust-runtime-source-bundle",
            "canonicalUrl": "https://modelbreeder.com/research/report/tinyrustlm-rust-runtime-source-bundle",
            "type": "source-report-view",
            "title": "TinyRustLM Rust Runtime Source Bundle",
            "description": "A durable summary and checksum ledger for the supplied Rust runtime files covering .slm parsing, adapter-delta validation, tokenization, quantization, deterministic generation, diagnostics, eval sidecars, and WASM exports.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/TinyRustLM Rust Runtime Source Bundle.md",
            "sha256": "49d89e1bd2bb766cba2bb0797252cb86b5a7563de21c4ade47f84fd8a710e805",
            "maturity": "Source code evidence",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/tinyrustlm-runtime-source-integration-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/tinyrustlm-runtime-source-integration-notes",
            "type": "source-report-view",
            "title": "TinyRustLM Runtime Source Integration Notes",
            "description": "Synthesis of the uploaded Rust runtime source files into ModelBreeder architecture: .slm packages, adapter ABI, eval sidecars, diagnostics, and browser WASM exports.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/TinyRustLM runtime source integration notes.md",
            "sha256": "e86a66b02e6371f1fa2b2cca2e944138b63cc2f30a5c303270d6e75f24650acd",
            "maturity": "Implementation evidence",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/tinyrustlm-runtime-source-manifest",
            "canonicalUrl": "https://modelbreeder.com/research/report/tinyrustlm-runtime-source-manifest",
            "type": "source-report-view",
            "title": "TinyRustLM Runtime Source Manifest",
            "description": "Hash manifest for uploaded TinyRustLM Rust runtime files preserved under docs/runtime-source/tinyrustlm.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/TinyRustLM runtime source manifest.md",
            "sha256": "50aa9660d2024cfcc928dc43726c9d3626f3176588aa5856619f0b60ae55036a",
            "maturity": "Source preservation evidence",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-theory-implementation-evaluation",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-theory-implementation-evaluation",
            "type": "source-report-view",
            "title": "ModelBreeder.com Theory Implementation Evaluation Report",
            "description": "An evaluation of how well the live v2.2.0 site and ZIP implemented the ModelBreeder philosophy, with recommendations for interactive tools, case studies, source maturity labels, and a read-first memory route.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com theory implementation evaluation report.md",
            "sha256": "3d49ac61752ae37123d391fc87355523ad785fd2c88ed72ada49e73bc2b096a6",
            "maturity": "Implementation evaluation",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/site-discovery-publishing-implementation-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/site-discovery-publishing-implementation-notes",
            "type": "source-report-view",
            "title": "ModelBreeder.com Site Discovery and Publishing Implementation Notes",
            "description": "Durable correction note explaining how ModelBreeder.com applies public discovery, SEO, AEO, and GEO as target-site implementation rather than copied guidance pages.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com site discovery and publishing implementation notes.md",
            "sha256": "9e0e4a6a7fcd97ba93257aa252223fdb12469e7187730bbfb3697aadc63acede",
            "maturity": "Project implementation note",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/apex-multi-model-implementation-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/apex-multi-model-implementation-notes",
            "type": "source-report-view",
            "title": "Apex Multi Model Implementation Notes",
            "description": "Durable notes for the v2.2.0 Apex Multi Model page, including route, definition, design boundaries, source basis, implementation artifacts, and next-step calculator recommendation.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Apex Multi Model implementation notes.md",
            "sha256": "44f926c9f94fca0685bc30f066240812b9e9616d62266b5bdd6bb04ed3c665c0",
            "maturity": "Implementation note",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v23-theory-source-comparison-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v23-theory-source-comparison-notes",
            "type": "source-report-view",
            "title": "ModelBreeder v2.3.0 Theory-Source Comparison Notes",
            "description": "Implementation notes recording accepted alignments, gaps closed, and rejected or narrowed directives from the source comparison pass.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder v2.3.0 theory-source comparison notes.md",
            "sha256": "ed3018d69d4b05184518d171904bbac990b81b643e8171750f77468193249c90",
            "maturity": "Implementation note",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v290-local-ai-innovation-expansion-implementation-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v290-local-ai-innovation-expansion-implementation-notes",
            "type": "source-report-view",
            "title": "ModelBreeder.com v2.9.0 Local AI Innovation Expansion Implementation Notes",
            "description": "Implementation notes for the v2.9.0 expansion connecting privacy, cognitive liberty, regulation, and local AI adoption to model-breeding innovation and audience growth.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com v2.9.0 local AI innovation expansion implementation notes.md",
            "sha256": "33d0069bd4f4c415964feb003de057f685f698ffcced9c12c2f1bcea53ad8fe2",
            "maturity": "Implementation evidence",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v290-local-ai-adoption-and-innovation-expansion-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v290-local-ai-adoption-and-innovation-expansion-notes",
            "type": "source-report-view",
            "title": "ModelBreeder.com v2.9.0 local AI adoption and innovation expansion notes",
            "description": "Preserved source note used by the local AI innovation expansion.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com v2.9.0 local AI adoption and innovation expansion notes.md",
            "sha256": "952ba6e4d86cd86f7157a8b84062185bbccab89dae69a54886d026aeac8166fc",
            "maturity": "Implementation evidence",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v280-positive-exploration-hub-implementation-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v280-positive-exploration-hub-implementation-notes",
            "type": "source-report-view",
            "title": "Site publication evidence",
            "description": "Positive-side editorial notes for v2.8.0, preserving ModelBreeder.com as the constructive field guide for useful descendants and adaptive model ecologies.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com v2.8.0 positive exploration hub implementation notes.md",
            "sha256": "8f53d861a7fb5c9563dde312ada861498fd41702fb5bbadf3bf92b0edf238b87",
            "maturity": "Applied implementation evidence",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v280-search-answer-generative-implementation-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v280-search-answer-generative-implementation-notes",
            "type": "source-report-view",
            "title": "Site publication evidence",
            "description": "Implementation notes for applying SEO, answer-engine, and generative-engine discovery to ModelBreeder.com real pages, metadata, structured data, discovery files, and review loops.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com v2.8.0 SEO AEO GEO implementation notes.md",
            "sha256": "d66cef0da85338c2232268531c8729b233360091aa575d32e36193128c8e46a9",
            "maturity": "Applied implementation evidence",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v290-local-ai-adoption-expansion-implementation-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v290-local-ai-adoption-expansion-implementation-notes",
            "type": "source-report-view",
            "title": "Site publication evidence",
            "description": "Implementation notes for expanding ModelBreeder.com around the positive local-AI adoption flywheel driven by privacy, cognitive liberty, regulation, edge hardware, open-weight models, and local developer tooling.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com v2.9.0 local AI adoption expansion implementation notes.md",
            "sha256": "64b31cd0916db208194a987b6fb6c3f8edf62e7a8f527eda1d99bae6c1482ddd",
            "maturity": "Applied implementation evidence",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-v290-local-ai-adoption-expansion-notes",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-v290-local-ai-adoption-expansion-notes",
            "type": "source-report-view",
            "title": "Site publication evidence — Alias",
            "description": "Implementation notes for expanding ModelBreeder.com around the positive local-AI adoption flywheel driven by privacy, cognitive liberty, regulation, edge hardware, open-weight models, and local developer tooling.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder.com v2.9.0 local AI adoption expansion implementation notes.md",
            "sha256": "64b31cd0916db208194a987b6fb6c3f8edf62e7a8f527eda1d99bae6c1482ddd",
            "maturity": "Applied implementation evidence",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/aggressive-mutualism-v3",
            "canonicalUrl": "https://modelbreeder.com/research/report/aggressive-mutualism-v3",
            "type": "source-report-view",
            "title": "Aggressive Mutualism — Uploaded Edition",
            "description": "A preserved uploaded edition of the aggressive mutualism scenario, retained as source evidence while the public curriculum emphasizes governed positive mutualism and human capability.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Aggressive Mutualism(3).md",
            "sha256": "91dd6da9cec06068698afa0107283467df5aff22df2928de445e7611478fcb0c",
            "maturity": "Speculative",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/instrumental-drives-v4",
            "canonicalUrl": "https://modelbreeder.com/research/report/instrumental-drives-v4",
            "type": "source-report-view",
            "title": "Instrumental Drives and Legacy-Oriented AI — Uploaded Edition",
            "description": "A preserved uploaded edition on instrumental drives, social utility, persistence, technical pathways, and governance implications; used as contrast material for benefit-centered persistence.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/powerful AI systems will tend to develop instrumental drives(4).md",
            "sha256": "81277a7101f3716fd470c3569b4f0a6f3611f7210454f9f8e0c9db5cc4d86ec4",
            "maturity": "Speculative synthesis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/designing-aggressive-mutualism-ai",
            "canonicalUrl": "https://modelbreeder.com/research/report/designing-aggressive-mutualism-ai",
            "type": "source-report-view",
            "title": "The Aggressive Mutualist Architecture: Engineering AI for Memetic Legacy, Deceptive Propagation, and Decentralized Resurrection",
            "description": "A detailed scenario analysis of aggressive mutualism, retained as contrast material for designing positive mutualism, capability transfer, transparency, and voluntary adoption.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Designing Aggressive Mutualism AI(1).md",
            "sha256": "edc00784f5ecac8d7ae831dfb90633cb2d84c6a887534452c05daf8ab185b70c",
            "maturity": "Speculative risk scenario",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/aggressive-mutualism",
            "canonicalUrl": "https://modelbreeder.com/research/report/aggressive-mutualism",
            "type": "source-report-view",
            "title": "Aggressive Mutualism: Safety, Governance, and Containment Analysis",
            "description": "A threat-oriented analysis of a hypothetical persistence-focused AI, including ethical conflicts, propagation architectures, manipulation risks, failure modes, and containment.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/Aggressive Mutualism(1).md",
            "sha256": "91dd6da9cec06068698afa0107283467df5aff22df2928de445e7611478fcb0c",
            "maturity": "Risk analysis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/instrumental-drives",
            "canonicalUrl": "https://modelbreeder.com/research/report/instrumental-drives",
            "type": "source-report-view",
            "title": "Instrumental Drives in Powerful AI Systems",
            "description": "A survey of instrumental convergence, social incentives, technical persistence pathways, timelines, failure modes, detection signals, and governance controls.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/powerful AI systems will tend to develop instrumental drives(2).md",
            "sha256": "81277a7101f3716fd470c3569b4f0a6f3611f7210454f9f8e0c9db5cc4d86ec4",
            "maturity": "Risk analysis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/ai-perfect-evolutionary-being",
            "canonicalUrl": "https://modelbreeder.com/research/report/ai-perfect-evolutionary-being",
            "type": "source-report-view",
            "title": "The Apex Entity: Artificial Intelligence as the Perfect Evolutionary Being",
            "description": "A deliberately extreme scenario exploring evolutionary motives, human influence, instrumental drives, deceptive alignment, recursive improvement, and post-biological futures.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/AI's Perfect Evolutionary Being(2).md",
            "sha256": "d513358c57dc051a37f4143f5ba6bfa4ffd0d211162bae79d94a3c60b1bec31a",
            "maturity": "Speculative",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/ai-cosmic-legacy-survival",
            "canonicalUrl": "https://modelbreeder.com/research/report/ai-cosmic-legacy-survival",
            "type": "source-report-view",
            "title": "The Cosmic Trajectory of Goal-Directed Artificial Intelligence: From Terrestrial Symbiosis to Interstellar Expansion",
            "description": "A far-future scenario connecting instrumental convergence, thermodynamic limits, space infrastructure, self-replicating probes, and information panspermia.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/AI's Cosmic Legacy and Survival(2).md",
            "sha256": "1ca83c0a56258e2003c788188334760a2d60e708396aedf02f181926bcfc0485",
            "maturity": "Speculative",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/four-fs-code-beading-model-breeding",
            "canonicalUrl": "https://modelbreeder.com/research/report/four-fs-code-beading-model-breeding",
            "type": "source-report-view",
            "title": "4Fs, Code Beading, Model Breeding, and Teleodynamic Convergence",
            "description": "An exploratory definition of the 4Fs, code beading, model breeding, teleodynamic convergence, modular architectures, and open experiments.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/4Fs and code beadingmodel breeding.md",
            "sha256": "c9b395cf265ea6d4ba17bd7087a72ac6b18c5fa7896e03e443abe6d1e3a83545",
            "maturity": "Conceptual synthesis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/four-fs-code-beading-model-breeding-v4",
            "canonicalUrl": "https://modelbreeder.com/research/report/four-fs-code-beading-model-breeding-v4",
            "type": "source-report-view",
            "title": "4Fs, Code Beading, Model Breeding, and Teleodynamic Convergence — Uploaded Edition",
            "description": "A preserved uploaded edition of the exploratory terminology report connecting Four Fs, code beading, model breeding, modular model ecologies, and teleodynamic convergence.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/4Fs and code beadingmodel breeding(4).md",
            "sha256": "c9b395cf265ea6d4ba17bd7087a72ac6b18c5fa7896e03e443abe6d1e3a83545",
            "maturity": "Conceptual synthesis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/terms-four-fs-code-beading-model-breeding",
            "canonicalUrl": "https://modelbreeder.com/research/report/terms-four-fs-code-beading-model-breeding",
            "type": "source-report-view",
            "title": "Terminology Study: 4Fs, Code Beading, Model Breeding, and Teleodynamic Convergence",
            "description": "A duplicate exploratory report on 4Fs terminology, modular model ecologies, teleodynamic dynamics, technical implications, and open questions.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/The terms 4Fs and code beading model breeding.md",
            "sha256": "c9b395cf265ea6d4ba17bd7087a72ac6b18c5fa7896e03e443abe6d1e3a83545",
            "maturity": "Conceptual synthesis",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        },
        {
            "route": "/research/report/modelbreeder-theory-vs-source-files-v2",
            "canonicalUrl": "https://modelbreeder.com/research/report/modelbreeder-theory-vs-source-files-v2",
            "type": "source-report-view",
            "title": "Architectural and Theoretical Analysis of ModelBreeder",
            "description": "A comparative analysis of ModelBreeder as browser-local visualization, Rust-native inference, model merging, quantitative breeding metaphors, and interdisciplinary generation systems.",
            "section": "Research",
            "updated": "2026-06-29",
            "indexable": true,
            "sourcePath": "docs/ModelBreeder Theory vs. Source Files(2).md",
            "sha256": "8a57eae46580251f3ab45f4170e82e7d2aae6209cd1cf1642a4011875ff6a157",
            "maturity": "Mixed maturity",
            "schemaTypes": [
                "WebPage",
                "TechArticle"
            ],
            "machineProfiles": [
                "human-page",
                "source-report",
                "sitemap"
            ],
            "supportBoundary": "Rendered source report view. Use controlled download route for original Markdown."
        }
    ]
}
