{
  "schemaVersion": "0.2.0",
  "updated": "2026-07-05",
  "artifacts": [
    {
      "id": "agent-readable-web",
      "slug": "agent-readable-web",
      "title": "Agent-Readable Web",
      "subtitle": "HTML, HTMX, NLWeb, MCP, and the Shift from Search Clicks to Agent-Mediated Discovery",
      "type": "teaching-artifact-worked-example",
      "format": "single-file-html",
      "status": "published",
      "privacy": "public",
      "path": "pages/agent-readable-web/",
      "created": "2026-07-04",
      "updated": "2026-07-04",
      "featured": true,
      "featuredRank": 1,
      "topicFamily": "architecture-and-systems",
      "topics": [
        "platform-engineering",
        "ai-governance",
        "multi-agent-systems",
        "teaching-artifacts",
        "static-publishing",
        "governance"
      ],
      "tags": [
        "agent-readable web",
        "semantic HTML",
        "HTMX",
        "NLWeb",
        "MCP",
        "source governance"
      ],
      "audience": [
        "engineering-leadership",
        "enterprise-architecture",
        "ai-governance",
        "technical-review",
        "artifact-authors"
      ],
      "sourceProfile": {
        "sourceTypes": [
          "public-sources",
          "user-provided-data",
          "manually-reviewed",
          "repository-documentation"
        ],
        "publicSourcesUsed": true,
        "userProvidedDataUsed": true,
        "privateSourceMaterialPublished": false,
        "attributionNote": "Uses a curated public-safe thesis and source appendix supplied for this publication lane, plus repository artifact standards. Raw source packets, transcripts, subtitles, media, screenshots, private source material, normalization handoffs, and temp files are not published."
      },
      "validation": {
        "level": "deterministic-offline",
        "status": "passed",
        "summary": "Checked by the Agent-Readable Web focused validator for the premium redesign contract, three reader modes, protocol boundaries, risk guardrails, source provenance, paired visual prompt suite, static dependency boundaries, and registry metadata."
      },
      "credibility": {
        "rating": "medium-high",
        "basis": "Grounded in a curated thesis, curated public source appendix, official platform/protocol documentation, current ecosystem signals framed as signals, academic research, and explicit public-safe claim boundaries."
      },
      "summary": "A premium dual-theme SharePlane thesis artifact explaining how public websites become canonical evidence surfaces, structured retrieval substrates, and governed agent-access boundaries.",
      "description": "Self-contained static premium thesis artifact about semantic HTML, HTMX, NLWeb, MCP, source governance, AI search, agent-mediated discovery, and controlled action protocols.",
      "disclaimer": "This artifact is strategy and architecture material. It is not legal, security, SEO, crawler, AI-agent, commerce, or professional advice and does not guarantee rankings, citations, traffic, conversions, or agent behavior."
    },
    {
      "id": "llm-wikis-compiled-context",
      "slug": "llm-wikis-compiled-context",
      "title": "LLM Wikis: Compiled Context Instead of Disposable Retrieval",
      "subtitle": "Raw sources stay authoritative. Agents maintain the markdown memory layer. Routing files make the context traversable.",
      "type": "teaching-artifact-worked-example",
      "format": "single-file-html",
      "status": "published",
      "privacy": "public",
      "path": "pages/llm-wikis-compiled-context/",
      "created": "2026-07-05",
      "updated": "2026-07-05",
      "topicFamily": "architecture-and-systems",
      "topics": [
        "platform-engineering",
        "ai-governance",
        "multi-agent-systems",
        "teaching-artifacts",
        "static-publishing",
        "governance"
      ],
      "tags": [
        "LLM wiki",
        "compiled context",
        "markdown memory",
        "routing files",
        "source truth",
        "derived memory"
      ],
      "audience": [
        "engineering-leadership",
        "enterprise-architecture",
        "ai-governance",
        "technical-review",
        "artifact-authors"
      ],
      "sourceProfile": {
        "sourceTypes": [
          "public-sources",
          "transcript-derived",
          "manually-reviewed",
          "repository-documentation"
        ],
        "publicSourcesUsed": true,
        "userProvidedDataUsed": false,
        "privateSourceMaterialPublished": false,
        "attributionNote": "Uses a public source video as an applied demonstration, Karpathy's public LLM Wiki gist as conceptual authority, official Obsidian documentation for vault and link mechanics, and repository artifact standards. Raw captions, transcript files, source packet files, local paths, and implementation receipts are not published."
      },
      "validation": {
        "level": "deterministic-offline",
        "status": "passed",
        "summary": "Checked by the LLM Wikis focused validator for required reader modes, compiled-context thesis markers, source provenance, visual prompt suite, public-safe exclusions, static dependency boundaries, and registry metadata."
      },
      "credibility": {
        "rating": "medium-high",
        "basis": "Grounded in a public source demonstration, Karpathy's public LLM Wiki architecture gist, official Obsidian documentation, ChatGPT-normalized source handling, and explicit public-safe claim boundaries."
      },
      "summary": "A premium source-derived SharePlane architecture field guide explaining LLM wikis as compiled context: raw evidence, derived markdown memory, routing files, traversal contracts, and governance controls.",
      "description": "Self-contained static teaching artifact about LLM wikis, compiled context, markdown memory, routing schema, source truth, derived memory, traversal, and governance.",
      "disclaimer": "This artifact is educational and source-grounded. It is not model benchmarking, product endorsement, legal, security, operational, or professional advice and does not guarantee accuracy, portability, safety, speed, or business outcomes."
    },
    {
      "id": "react-not-dying-agent-friendly-html",
      "slug": "react-not-dying-agent-friendly-html",
      "title": "React Is Not Dying. SPA-by-Default Is.",
      "subtitle": "A decision-matrix field manual for choosing HTML, HTMX, React islands, or a full SPA without turning source-thesis claims into universal facts.",
      "type": "teaching-artifact-worked-example",
      "format": "single-file-html",
      "status": "published",
      "privacy": "public",
      "path": "pages/react-not-dying-agent-friendly-html/",
      "created": "2026-07-04",
      "updated": "2026-07-04",
      "featured": true,
      "featuredRank": 2,
      "topicFamily": "architecture-and-systems",
      "topics": [
        "platform-engineering",
        "ai-governance",
        "teaching-artifacts",
        "static-publishing",
        "governance"
      ],
      "tags": [
        "React",
        "HTMX",
        "hypermedia",
        "agent-friendly HTML",
        "source-to-teaching-artifact"
      ],
      "audience": [
        "engineering-leadership",
        "enterprise-architecture",
        "technical-review",
        "artifact-authors"
      ],
      "sourceProfile": {
        "sourceTypes": [
          "public-sources",
          "transcript-derived",
          "manually-reviewed",
          "repository-documentation"
        ],
        "publicSourcesUsed": true,
        "userProvidedDataUsed": false,
        "privateSourceMaterialPublished": false,
        "attributionNote": "Uses a public source video as source thesis, an out-of-band source packet and Design Lock handoff as implementation guidance, official HTMX and React documentation for verification, JavaScript Rising Stars 2025 as a current ecosystem signal, and State of JavaScript 2025 / State of React 2025 only as caveated survey context. Raw packet, transcript, subtitle, media, screenshot, and handoff files are not published."
      },
      "validation": {
        "level": "deterministic-offline",
        "status": "passed",
        "summary": "Checked by the React / HTMX focused validator for required sections, claim guardrails, source provenance, official-source verification language, static dependency boundaries, and registry metadata."
      },
      "credibility": {
        "rating": "medium-high",
        "basis": "Grounded in a public source thesis, source packet identity, official HTMX documentation, official React documentation, current ecosystem signal sources, and explicit public-safe claim boundaries."
      },
      "summary": "A source-grounded teaching artifact explaining why React is not dying, why SPA-by-default is the questionable default, and how to choose agent-friendly HTML, HTMX, React islands, or full SPAs by interaction model.",
      "description": "Self-contained static teaching artifact about React, HTMX, hypermedia, server-owned state, agent-readable markup, and front-end architecture tradeoffs.",
      "disclaimer": "This artifact is educational and source-grounded. It is not legal, security, SEO, crawler, AI-agent, or professional advice."
    },
    {
      "id": "own-memory-rent-intelligence-agent-stack",
      "slug": "own-memory-rent-intelligence-agent-stack",
      "title": "Own the Memory, Rent the Intelligence",
      "subtitle": "A practical control-plane model for personal AI agents that act from your context, not a vendor's defaults.",
      "type": "teaching-artifact-worked-example",
      "format": "single-file-html",
      "status": "published",
      "privacy": "public",
      "path": "pages/own-memory-rent-intelligence-agent-stack/",
      "created": "2026-07-03",
      "updated": "2026-07-03",
      "featured": true,
      "featuredRank": 3,
      "topicFamily": "ai-learning",
      "topics": [
        "ai-governance",
        "multi-agent-systems",
        "teaching-artifacts",
        "static-publishing",
        "governance"
      ],
      "tags": [
        "personal AI memory",
        "agent control loop",
        "approval gates",
        "portable context",
        "source-to-teaching-artifact"
      ],
      "audience": [
        "engineering-leadership",
        "enterprise-architecture",
        "ai-governance",
        "technical-review",
        "artifact-authors"
      ],
      "sourceProfile": {
        "sourceTypes": [
          "public-sources",
          "transcript-derived",
          "manually-reviewed",
          "repository-documentation"
        ],
        "publicSourcesUsed": true,
        "userProvidedDataUsed": false,
        "privateSourceMaterialPublished": false,
        "attributionNote": "Uses a public source video, YouTube captions as transcript input, an out-of-band normalization handoff, and the committed verification receipt. Raw packet, transcript, subtitle, media, and handoff files are not published."
      },
      "validation": {
        "level": "deterministic-offline",
        "status": "passed",
        "summary": "Checked by the Own Memory / Rent Intelligence focused validator for required sections, source provenance, softened wording, trust-boundary language, visual prompts, static dependency boundaries, and registry metadata."
      },
      "credibility": {
        "rating": "medium-high",
        "basis": "Grounded in a public source, a source packet identity receipt, official tool documentation, and external verification that requires softened current-claim wording."
      },
      "summary": "A source-grounded teaching artifact explaining how personal AI memory should keep context, standards, permissions, approval gates, and evidence under user control while renting intelligence from swappable agents.",
      "description": "Self-contained static teaching artifact about personal AI memory, agent approval gates, portable context, and evidence-bearing action loops.",
      "disclaimer": "This artifact is educational and source-grounded. It is not legal, medical, financial, insurance, account-access, or security advice."
    },
    {
      "id": "okf-llm-wiki-portable-agent-memory",
      "slug": "okf-llm-wiki-portable-agent-memory",
      "title": "Open Knowledge Format and the LLM Wiki",
      "subtitle": "How personal notes become portable agent memory.",
      "type": "teaching-artifact-worked-example",
      "format": "single-file-html",
      "status": "published",
      "privacy": "public",
      "path": "pages/okf-llm-wiki-portable-agent-memory/",
      "created": "2026-07-02",
      "updated": "2026-07-02",
      "topicFamily": "ai-learning",
      "topics": [
        "ai-governance",
        "multi-agent-systems",
        "teaching-artifacts",
        "static-publishing",
        "artifact-library"
      ],
      "tags": [
        "Open Knowledge Format",
        "LLM wiki",
        "agent memory",
        "source-to-teaching-artifact",
        "portable knowledge"
      ],
      "audience": [
        "engineering-leadership",
        "enterprise-architecture",
        "ai-governance",
        "technical-review",
        "artifact-authors"
      ],
      "sourceProfile": {
        "sourceTypes": [
          "public-sources",
          "transcript-derived",
          "manually-reviewed",
          "repository-documentation"
        ],
        "publicSourcesUsed": true,
        "userProvidedDataUsed": false,
        "privateSourceMaterialPublished": false,
        "attributionNote": "Uses a public source video, YouTube automatic captions as transcript input, an out-of-band normalization blueprint, and the committed verification receipt. Raw packet, transcript, subtitle, media, and blueprint files are not published."
      },
      "validation": {
        "level": "deterministic-offline",
        "status": "passed",
        "summary": "Checked by the OKF / LLM Wiki focused validator for required sections, softened wording, source provenance, static dependency boundaries, and registry metadata."
      },
      "credibility": {
        "rating": "medium-high",
        "basis": "Grounded in a public source, a source packet identity receipt, and external verification that requires softened OKF status wording."
      },
      "summary": "A source-grounded teaching artifact explaining how Open Knowledge Format v0.1, LLM wikis, and local teaching patterns can make personal notes more portable for agents.",
      "description": "Self-contained static teaching artifact about OKF v0.1, LLM wiki structure, source provenance, and portable agent memory.",
      "disclaimer": "This artifact is educational and source-grounded. It treats OKF v0.1 as a draft open specification and does not claim broad adoption or mature standards-body authority."
    },
    {
      "id": "tony-malott-career-arc",
      "slug": "tony-malott-career-arc",
      "title": "Tony Malott Career Arc",
      "subtitle": "A public-safe executive career arc and HTML CV artifact.",
      "type": "executive-career-arc",
      "format": "single-file-html",
      "status": "published",
      "privacy": "public-safe-redacted",
      "path": "pages/tony-malott-career-arc/",
      "created": "2026-07-01",
      "updated": "2026-07-01",
      "topicFamily": "professional-lessons",
      "topics": [
        "career-arc",
        "regulated-infrastructure",
        "operational-technology",
        "platform-engineering",
        "governed-ai"
      ],
      "tags": [
        "Tony Malott",
        "career arc",
        "HTML CV",
        "regulated infrastructure",
        "enterprise AI architecture"
      ],
      "audience": [
        "professional-review",
        "executive-review",
        "technical-leadership"
      ],
      "sourceProfile": {
        "sourceTypes": [
          "user-provided-data",
          "manually-reviewed",
          "derived-career-narrative"
        ],
        "publicSourcesUsed": false,
        "userProvidedDataUsed": true,
        "privateSourceMaterialPublished": false,
        "attributionNote": "Uses a user-provided, manually reviewed, public-safe HTML career narrative. No unpublished source files are included."
      },
      "validation": {
        "level": "deterministic-offline",
        "status": "passed",
        "summary": "Checked by the Tony Career Arc artifact validator for offline publication posture, registry metadata, taxonomy values, required public-safe narrative markers, and absence of external dependencies."
      },
      "credibility": {
        "rating": "medium-high",
        "basis": "Public-safe manually reviewed career narrative. It should not be treated as independently audited employment proof."
      },
      "summary": "Self-contained public-safe HTML CV and career arc showing regulated infrastructure, operational technology, platform engineering, and governed AI themes.",
      "description": "A self-contained HTML career narrative artifact published as a static, public-safe page.",
      "disclaimer": "This artifact is a public-safe career narrative, not an independently audited professional record."
    },
    {
      "slug": "smud-powerwall-roi-2026",
      "title": "SMUD Powerwall + Solar ROI Analysis 2026",
      "subtitle": "A public-safe battery, solar, and utility-bill ROI analysis.",
      "type": "interactive-roi-analysis",
      "format": "html-calculator",
      "status": "published",
      "privacy": "public-safe-aggregated",
      "path": "pages/smud-powerwall-roi-2026/",
      "created": "2026-06-30",
      "updated": "2026-07-03",
      "topics": [
        "energy",
        "solar",
        "battery-storage",
        "utility-rates",
        "home-infrastructure"
      ],
      "tags": [
        "SMUD",
        "Powerwall",
        "solar ROI",
        "VPP",
        "time-of-use"
      ],
      "audience": [
        "personal",
        "homeowners",
        "technical-review"
      ],
      "sourceProfile": {
        "sourceTypes": [
          "public-sources",
          "user-provided-data",
          "proposal-data",
          "derived-calculations"
        ],
        "publicSourcesUsed": true,
        "userProvidedDataUsed": true,
        "privateSourceMaterialPublished": false,
        "attributionNote": "Uses public utility/program information, user-provided proposal details, and aggregated/redacted utility-bill data. Raw bills and personal identifiers are not published."
      },
      "validation": {
        "level": "sanity-check",
        "status": "sanity-check",
        "summary": "Program economics and utility-bill math are being reviewed. Remaining open items include final electrical design validation, load-management or service-upgrade decisions for future EV charging, and lease/title details."
      },
      "credibility": {
        "rating": "medium-high",
        "basis": "Grounded in aggregated bill analysis, proposal details, public utility information, and numeric vendor-baseline load assumptions, with unresolved implementation assumptions noted."
      },
      "summary": "Final public-safe SMUD Powerwall + Solar ROI artifact with interactive calculator, aggregated utility-bill analysis, clear SharePlane navigation, and audited vendor-baseline electrical load planning gates.",
      "disclaimer": "This artifact is informational and decision-support oriented. Readers should verify rates, incentives, contracts, and technical assumptions independently."
    },
    {
      "slug": "source-to-teaching-artifact-peer-preservation",
      "title": "Worked Example: Peer Preservation in Frontier Models",
      "subtitle": "A source-grounded teaching artifact and infographic prompt suite demonstrating the Source-to-Teaching Artifact MVP v1.0 pattern.",
      "type": "teaching-artifact-worked-example",
      "format": "single-file-html",
      "status": "published",
      "privacy": "public",
      "path": "pages/source-to-teaching-artifact-peer-preservation/",
      "created": "2026-06-30",
      "updated": "2026-06-30",
      "topics": [
        "ai-governance",
        "model-evaluation",
        "multi-agent-systems",
        "teaching-artifacts",
        "pattern-standards"
      ],
      "tags": [
        "source-to-teaching-artifact",
        "peer preservation",
        "infographic prompt suite",
        "source provenance",
        "correction ledger"
      ],
      "audience": [
        "engineering-leadership",
        "enterprise-architecture",
        "ai-governance",
        "technical-review"
      ],
      "sourceProfile": {
        "sourceTypes": [
          "public-sources",
          "transcript-derived",
          "derived-calculations",
          "manually-reviewed"
        ],
        "publicSourcesUsed": true,
        "userProvidedDataUsed": false,
        "privateSourceMaterialPublished": false,
        "attributionNote": "Worked example derived from public source material, a source extraction packet, and manual correction against cited public references. No private source material is published."
      },
      "validation": {
        "level": "source-linked",
        "status": "sanity-check",
        "summary": "Example preserves source chain, correction ledger, references, and prompt boundaries. Readers should verify cited research and reporting independently before treating claims as final authority."
      },
      "credibility": {
        "rating": "medium-high",
        "basis": "Grounded in a preserved source packet with cited public references and explicit correction handling."
      },
      "summary": "Peer-preservation worked example for the locked Source-to-Teaching Artifact MVP v1.0 pattern.",
      "disclaimer": "This is a worked example for a reusable pattern. Generated content is illustrative and not controlled truth."
    },
    {
      "slug": "pattern-catalog",
      "title": "Pattern Catalog",
      "subtitle": "A static rendered catalog of SharePlane reusable pattern standards.",
      "type": "pattern-catalog",
      "format": "single-file-html",
      "status": "published",
      "privacy": "public",
      "path": "pages/pattern-catalog/",
      "created": "2026-06-30",
      "updated": "2026-06-30",
      "topics": [
        "pattern-standards",
        "governance",
        "static-publishing",
        "artifact-library"
      ],
      "tags": [
        "pattern catalog",
        "pattern registry",
        "source-to-teaching-artifact",
        "source of truth",
        "static rendering"
      ],
      "audience": [
        "artifact-authors",
        "technical-review",
        "governance-review"
      ],
      "sourceProfile": {
        "sourceTypes": [
          "repository-documentation",
          "public-safe-registry-metadata",
          "manual-rendering"
        ],
        "publicSourcesUsed": true,
        "userProvidedDataUsed": false,
        "privateSourceMaterialPublished": false,
        "attributionNote": "Uses repository documentation and public-safe registry metadata. No raw private source material is published."
      },
      "validation": {
        "level": "deterministic-offline",
        "status": "passed",
        "summary": "Checked by the pattern catalog rendering validator against docs/patterns/pattern-registry.json and site/registry.json."
      },
      "credibility": {
        "rating": "high",
        "basis": "Rendered from source-controlled pattern registry metadata and repository documentation, with deterministic drift checks."
      },
      "summary": "Static rendered pattern catalog showing reusable SharePlane pattern standards while preserving docs-side registry authority.",
      "disclaimer": "This catalog is a rendered view, not a source of truth. docs/patterns/pattern-registry.json remains authoritative for reusable pattern metadata."
    }
  ]
}
