{ "schemaVersion": "0.2.0", "updated": "2026-07-09", "artifacts": [ { "id": "software-has-entered-its-re-image-era", "slug": "software-has-entered-its-re-image-era", "title": "Software Has Entered Its Re-Image Era", "subtitle": "AI is collapsing the cost of reconstruction. The implementation is becoming replaceable. The truth required to recreate it is not.", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public-safe-aggregated", "path": "pages/software-has-entered-its-re-image-era/", "created": "2026-07-09", "updated": "2026-07-09", "topicFamily": "architecture-and-systems", "topics": [ "enterprise-architecture", "source-authority", "context-as-code", "strategy", "governed-ai", "static-publishing", "teaching-artifacts" ], "tags": [ "re-image", "reconstruction", "legacy modernization", "technical debt", "cognitive debt", "intent debt", "architecture recovery", "software provenance", "AI coding agents", "systems engineering" ], "audience": [ "engineering-leadership", "enterprise-architecture", "technical-leadership", "technical-review", "artifact-authors", "governance-review", "executive-review" ], "sourceProfile": { "sourceTypes": [ "public-sources", "user-provided-data", "manually-reviewed" ], "publicSourcesUsed": true, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Owner-origin thesis and generalized professional experience: approved for public use. Public sources embedded in the HTML: approved and locked. Synthetic diagrams and visual metaphors: approved. Private/internal/employer/client/vendor-private sources: excluded." }, "validation": { "level": "source-linked", "status": "passed", "summary": "Checked by validation/scripts/check_software_has_entered_its_re_image_era_artifact.py for locked page identity and copy, nineteen article sections, decision rail, bibliography, claim/evidence ledger, theme controls, JavaScript-disabled completeness, registry reachability, graph freshness, public-safe exclusions, and no external runtime dependencies." }, "credibility": { "rating": "medium-high", "basis": "Original SharePlane thesis. Article copy, evidence posture, and source list are Creative Locked. This material is personal educational work. It reflects generalized professional experience, public sources, and independent analysis." }, "supports": [ "shareplane-premium-self-contained-editorial-thesis-pattern-v01" ], "summary": "AI is collapsing the cost of reconstruction. The implementation is becoming replaceable. The truth required to recreate it is not.", "description": "A systems-engineering thesis on why AI is making ordinary application implementation increasingly replaceable while product intent, data, contracts, provenance, and validation become the durable assets.", "disclaimer": "This material is personal educational work. It reflects generalized professional experience, public sources, and independent analysis. It does not represent my employer, any client, or any vendor. It does not disclose confidential information, controlled documents, internal systems, regulated records, security details, implementation-specific designs, or company-approved policy." }, { "id": "the-world-got-bigger-and-so-did-the-self", "slug": "the-world-got-bigger-and-so-did-the-self", "title": "The World Got Bigger, and So Did the Self", "subtitle": "A personal essay on culture, contact, travel, and the cost of mistaking a small map for the whole world.", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public-safe-aggregated", "path": "pages/the-world-got-bigger-and-so-did-the-self/", "created": "2026-07-09", "updated": "2026-07-09", "topicFamily": "professional-lessons", "topics": [ "career-arc", "governed-ai", "static-publishing", "teaching-artifacts" ], "tags": [ "cultural immersion", "travel", "intergroup contact", "worldview", "rural America", "Japan", "Germany", "California", "multicultural life", "nationalism", "identity" ], "audience": [ "personal", "artifact-authors", "professional-review", "technical-review" ], "sourceProfile": { "sourceTypes": [ "user-provided-data", "public-sources", "manually-reviewed" ], "publicSourcesUsed": true, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Uses Tony + ChatGPT locked article copy, the owner-approved Contact Theory HTML seed, and public source links in the source drawer. No private raw source material, screenshots, transcripts, employer material, internal documents, local paths, controlled information, analytics, backend service, runtime AI, package tooling, external font, remote asset, or dependency addition is published." }, "validation": { "level": "source-linked", "status": "passed", "summary": "Checked by validation/scripts/check_the_world_got_bigger_and_so_did_the_self_artifact.py for page existence, registry identity, Tony Malott author metadata and bylines, TL;DR, timeline sequence, claim discipline module, source drawer, source URLs, required pull quotes, no external dependencies, no local paths, and public-safe residue exclusions." }, "credibility": { "rating": "medium-high", "basis": "Personal educational essay grounded in locked authorial copy, public contact-theory and travel/trust source links, explicit claim discipline, public-safe disclaimer, and deterministic validation. It is educational analysis, not legal, employment, travel, psychological, cultural, political, operational, or employer advice." }, "summary": "A personal essay arguing that sustained cultural contact, not travel alone, can widen a narrow inherited worldview.", "description": "Self-contained static SharePlane artifact covering rural Arkansas, Air Force service, Japan, Germany, California, cultural immersion, intergroup contact, claim discipline, source provenance, and public-safe boundaries.", "disclaimer": "This material is personal educational work. It reflects generalized professional experience, public sources, and independent analysis. It does not represent my employer, any client, or any vendor. It does not disclose confidential information, controlled documents, internal systems, regulated records, security details, implementation-specific designs, or company-approved policy." }, { "id": "your-second-brain-is-not-a-production-architecture", "slug": "your-second-brain-is-not-a-production-architecture", "title": "Your Second Brain Is Not a Production Architecture", "subtitle": "Markdown is a killer substrate for a personal agent. The moment the agent serves other people, context stops being a folder and becomes a governed retrieval and memory layer.", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public-safe-aggregated", "path": "pages/your-second-brain-is-not-a-production-architecture/", "created": "2026-07-09", "updated": "2026-07-09", "topicFamily": "architecture-and-systems", "topics": [ "ai-governance", "governed-ai", "multi-agent-systems", "source-authority", "static-publishing", "teaching-artifacts", "enterprise-architecture", "platform-engineering", "governance" ], "tags": [ "second brain", "production architecture", "context plane", "agent memory", "business context", "Redis Iris", "claim ledger", "visual prompt suite", "public-source research" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-leadership", "technical-review", "artifact-authors", "governance-review", "executive-review" ], "sourceProfile": { "sourceTypes": [ "public-sources", "user-provided-data", "manually-reviewed" ], "publicSourcesUsed": true, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Uses the locked user-approved HTML seed, public YouTube source R-5_2nsF_ZM, public Redis Iris documentation, the public coleam00/redis-iris-agent demo repository, related SharePlane artifacts, and focused validation. No raw transcript text, subtitle files, source packet files, screenshots, employer materials, internal documents, local paths, controlled information, backend service, runtime AI, analytics, package tooling, external font, remote asset, or dependency addition is published." }, "validation": { "level": "source-linked", "status": "passed", "summary": "Checked by validation/scripts/check_your_second_brain_production_architecture_artifact.py for title/subtitle/thesis, SharePlane chrome, valid anchors, source dossier, current Redis Iris caveats, claim posture ledger, footer receipt, nine prompt drawers, eighteen prompt bodies, prompt copy controls, related-artifact section, no external dependencies, no local paths, and public-safe exclusions." }, "credibility": { "rating": "medium-high", "basis": "Source-derived architecture analysis grounded in a public YouTube source packet, current public Redis documentation, the public Redis Iris demo repository, explicit vendor and preview caveats, public-safe disclaimer, and deterministic validation. It is educational analysis, not legal, compliance, procurement, operational, financial, regulatory, security, or vendor-selection advice." }, "supports": [ "self-contained-dual-mode-visual-prompt-suite-v1.0" ], "patternDependencies": [ "source-to-teaching-artifact-v1.0" ], "relatedArtifacts": [ "context-is-the-product", "when-execution-gets-cheap-advantage-moves" ], "summary": "A source-derived architecture explainer separating personal second-brain markdown workflows from production agent context-plane requirements.", "description": "Self-contained static SharePlane artifact covering the boundary between personal AI memory and production context architecture, with source dossier, field brief, deep architecture argument, context split, decision rule, claim posture ledger, related artifacts, public-safe receipt, and reusable visual prompts.", "disclaimer": "This material is personal educational work. It reflects public sources, an extracted source packet receipt, related SharePlane context, and independent analysis. It does not represent an employer, client, vendor, or platform provider. It does not publish raw transcript text, subtitle files, source packet files, screenshots, private materials, local paths, implementation logs, unpublished source artifacts, controlled information, regulated records, security details, or implementation-specific designs." }, { "id": "the-agent-was-never-the-unit-of-trust", "slug": "the-agent-was-never-the-unit-of-trust", "title": "The Agent Was Never the Unit of Trust", "subtitle": "Why multi-agent work only becomes useful when the system verifies the worker, the boss, and the checker.", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public-safe-aggregated", "path": "pages/the-agent-was-never-the-unit-of-trust/", "created": "2026-07-09", "updated": "2026-07-09", "topicFamily": "ai-governance", "topics": [ "ai-governance", "governed-ai", "multi-agent-systems", "source-authority", "static-publishing", "teaching-artifacts", "enterprise-architecture", "governance" ], "tags": [ "editorial thesis", "field manual", "verification control plane", "multi-agent systems", "agentic AI", "boss model", "checker agents", "claim ledger", "visual prompt suite", "public-source research" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-leadership", "technical-review", "artifact-authors", "governance-review", "executive-review" ], "sourceProfile": { "sourceTypes": [ "public-sources", "user-provided-data", "manually-reviewed" ], "publicSourcesUsed": true, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Uses the locked user-approved Field Manual HTML seed, the public YouTube source from AI News & Strategy Daily | Nate B Jones, Nate B. Jones's companion Substack context, official Anthropic model documentation, W3C WCAG 2.2 documentation, related SharePlane artifacts, and focused validation. No raw transcript text, subtitle files, source packet files, screenshots, employer materials, internal documents, local paths, controlled information, backend service, runtime AI, analytics, package tooling, external font, remote asset, or dependency addition is published." }, "validation": { "level": "source-linked", "status": "passed", "summary": "Checked by validation/scripts/check_the_agent_was_never_the_unit_of_trust_artifact.py for title/subtitle/thesis, SharePlane chrome, valid anchors, source dossier, claim posture ledger, footer receipt, four prompt drawers, eight full prompt bodies, prompt copy controls, related-artifact links, no external dependencies, no local paths, and public-safe exclusions." }, "credibility": { "rating": "medium-high", "basis": "Source-derived systems analysis grounded in a public YouTube case study, public companion context, official verification sources, explicit claim posture boundaries, public-safe disclaimer, and deterministic validation. It is educational analysis, not legal, compliance, accessibility certification, procurement, operational, financial, regulatory, or security advice." }, "supports": [ "self-contained-dual-mode-visual-prompt-suite-v1.0" ], "patternDependencies": [ "source-to-teaching-artifact-v1.0" ], "relatedArtifacts": [ "the-signal-was-never-clean", "the-signal-was-never-clean-field-manual", "the-worm-is-in-the-workflow", "demo-debt" ], "summary": "A source-derived field manual arguing that multi-agent systems become credible only when the worker, boss, and checker are all inside a governed verification loop.", "description": "Self-contained static SharePlane artifact covering multi-agent verification loops, worker hallucination, worker shortcutting, boss-model regressions, checker overreach, constitution layers, enterprise translation, claim posture, source provenance, related artifacts, and reusable visual prompts.", "disclaimer": "This material is personal educational work. It reflects public sources, an extracted source packet receipt, related SharePlane context, and independent analysis. It does not represent an employer, client, vendor, or platform provider. It does not publish raw transcript text, subtitle files, source packet files, screenshots, private materials, local paths, implementation logs, unpublished source artifacts, controlled information, regulated records, security details, or implementation-specific designs." }, { "id": "the-signal-was-never-clean", "slug": "the-signal-was-never-clean", "title": "The Signal Was Never Clean", "subtitle": "AI, old radios, and the return of dangerous curiosity", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public-safe-aggregated", "path": "pages/the-signal-was-never-clean/", "created": "2026-07-08", "updated": "2026-07-08", "topicFamily": "ai-governance", "topics": [ "ai-governance", "governed-ai", "static-publishing", "teaching-artifacts", "enterprise-architecture", "source-authority", "governance" ], "tags": [ "editorial thesis", "article-first", "AI leverage", "domain knowledge", "fault isolation", "operational judgment", "old radios", "signal discipline", "visual prompt suite", "public-source research" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-leadership", "technical-review", "artifact-authors", "governance-review", "executive-review" ], "sourceProfile": { "sourceTypes": [ "public-sources", "user-provided-data", "manually-reviewed" ], "publicSourcesUsed": true, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Uses the locked self-contained HTML seed, four locked public workforce and AI-adoption sources, approved Signal Bench Editorial styling, and focused validation. No raw private source packets, transcripts, screenshots, employer materials, internal documents, local paths, controlled information, backend service, runtime AI, analytics, package tooling, external font, remote asset, or dependency addition is published." }, "validation": { "level": "source-linked", "status": "passed", "summary": "Checked by validation/scripts/check_the_signal_was_never_clean_artifact.py for title/subtitle, SharePlane chrome, valid top anchors, preserved signal bench hero and animated trace, locked phrases, claim posture ledger, four source URLs, public-safe boundary, two prompt drawers, four prompt boxes, four body-only copy buttons, footer receipt, registry reachability, no external dependencies, and public-safe exclusions." }, "credibility": { "rating": "medium-high", "basis": "Personal technical op-ed grounded in locked authorial copy, four public sources used as light support, explicit claim posture boundaries, public-safe disclaimer, and deterministic validation. It is educational analysis, not legal, compliance, security, procurement, employment, financial, regulatory, operational, or employer advice." }, "summary": "A personal technical op-ed on AI, old radios, fault isolation, domain knowledge, and why experience that keeps learning may become unusually valuable in the AI era.", "description": "Self-contained static SharePlane article covering signal discipline, old technical systems, AI leverage, domain knowledge, prompt quality, fault isolation, experience, claim posture, public source provenance, public-safe boundaries, and reusable visual prompts.", "disclaimer": "This material is personal educational work. It reflects generalized professional experience, public sources, and independent analysis. It does not represent my employer, any client, or any vendor. It does not disclose confidential information, controlled documents, internal systems, regulated records, security details, implementation-specific designs, or company-approved policy." }, { "id": "the-signal-was-never-clean-field-manual", "slug": "the-signal-was-never-clean-field-manual", "title": "The Signal Was Never Clean: Field Manual Variant", "subtitle": "AI, old radios, and the return of dangerous curiosity", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public-safe-aggregated", "path": "pages/the-signal-was-never-clean-field-manual/", "created": "2026-07-08", "updated": "2026-07-08", "topicFamily": "ai-governance", "topics": [ "ai-governance", "governed-ai", "static-publishing", "teaching-artifacts", "enterprise-architecture", "source-authority", "governance" ], "tags": [ "editorial thesis", "article-first", "field manual", "AI leverage", "domain knowledge", "fault isolation", "operational judgment", "old radios", "signal discipline", "visual prompt suite", "public-source research" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-leadership", "technical-review", "artifact-authors", "governance-review", "executive-review" ], "sourceProfile": { "sourceTypes": [ "public-sources", "user-provided-data", "manually-reviewed" ], "publicSourcesUsed": true, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Uses the locked GPT-5.5 Field Manual HTML seed, four locked public workforce and AI-adoption sources, approved Route B Field Manual styling, related-artifact posture, and focused validation. No raw private source packets, transcripts, screenshots, employer materials, internal documents, local paths, controlled information, backend service, runtime AI, analytics, package tooling, external font, remote asset, or dependency addition is published." }, "validation": { "level": "source-linked", "status": "passed", "summary": "Checked by validation/scripts/check_the_signal_was_never_clean_field_manual_artifact.py for title/subtitle, SharePlane chrome, valid top anchors, preserved Field Manual visual language, locked phrases, claim posture ledger, four source URLs, public-safe boundary, two prompt drawers, four prompt boxes, four body-only copy buttons, related Signal Bench link, footer receipt, registry reachability, no external dependencies, and public-safe exclusions." }, "credibility": { "rating": "medium-high", "basis": "Personal technical op-ed grounded in locked authorial copy, four public sources used as light support, explicit claim posture boundaries, public-safe disclaimer, related-artifact posture, and deterministic validation. It is educational analysis, not legal, compliance, security, procurement, employment, financial, regulatory, operational, or employer advice." }, "summary": "A Field Manual visual variant of a personal technical op-ed on AI, old radios, fault isolation, domain knowledge, and why experience that keeps learning may become unusually valuable in the AI era.", "description": "Self-contained static SharePlane Field Manual variant covering signal discipline, old technical systems, AI leverage, domain knowledge, prompt quality, fault isolation, experience, claim posture, public source provenance, public-safe boundaries, related-artifact posture, and reusable visual prompts.", "disclaimer": "This material is personal educational work. It reflects generalized professional experience, public sources, and independent analysis. It does not represent my employer, any client, or any vendor. It does not disclose confidential information, controlled documents, internal systems, regulated records, security details, implementation-specific designs, or company-approved policy." }, { "id": "the-signal-was-never-clean-quiet-frequency", "slug": "the-signal-was-never-clean-quiet-frequency", "title": "The Signal Was Never Clean: Quiet Frequency Variant", "subtitle": "AI, old radios, and the return of dangerous curiosity", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public-safe-aggregated", "path": "pages/the-signal-was-never-clean-quiet-frequency/", "created": "2026-07-09", "updated": "2026-07-09", "topicFamily": "ai-governance", "topics": [ "ai-governance", "governed-ai", "static-publishing", "teaching-artifacts", "enterprise-architecture", "source-authority", "governance" ], "tags": [ "editorial thesis", "article-first", "quiet frequency", "AI leverage", "domain knowledge", "fault isolation", "operational judgment", "old radios", "signal discipline", "visual prompt suite", "public-source research" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-leadership", "technical-review", "artifact-authors", "governance-review", "executive-review" ], "sourceProfile": { "sourceTypes": [ "public-sources", "user-provided-data", "manually-reviewed" ], "publicSourcesUsed": true, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Uses the locked Quiet Frequency HTML seed, four locked public workforce and AI-adoption sources, approved Quiet Frequency styling, related-artifact posture, and focused validation. No raw private source packets, transcripts, screenshots, employer materials, internal documents, local paths, controlled information, backend service, runtime AI, analytics, package tooling, external font, remote asset, or dependency addition is published." }, "validation": { "level": "source-linked", "status": "passed", "summary": "Checked by validation/scripts/check_the_signal_was_never_clean_quiet_frequency_artifact.py for the locked article hash, four locked prompt-body hashes, title/subtitle, Quiet Frequency route, SharePlane chrome, valid anchors, claim posture ledger, four source URLs, public-safe boundary, two prompt drawers, four body-only copy buttons, both related Signal variant links, registry and artifact-graph reachability, no external dependencies, and public-safe exclusions." }, "credibility": { "rating": "medium-high", "basis": "Personal technical op-ed grounded in locked authorial copy, four public sources used as light support, explicit claim posture boundaries, public-safe disclaimer, related-artifact posture, and deterministic validation. It is educational analysis, not legal, compliance, security, procurement, employment, financial, regulatory, operational, or employer advice." }, "relatedArtifacts": [ "the-signal-was-never-clean", "the-signal-was-never-clean-field-manual" ], "summary": "A Quiet Frequency visual variant of a personal technical op-ed on AI, old radios, fault isolation, domain knowledge, and why experience that keeps learning may become unusually valuable in the AI era.", "description": "Self-contained static SharePlane Quiet Frequency variant covering signal discipline, old technical systems, AI leverage, domain knowledge, prompt quality, fault isolation, experience, claim posture, public source provenance, public-safe boundaries, related-artifact posture, and reusable visual prompts.", "disclaimer": "This material is personal educational work. It reflects generalized professional experience, public sources, and independent analysis. It does not represent my employer, any client, or any vendor. It does not disclose confidential information, controlled documents, internal systems, regulated records, security details, implementation-specific designs, or company-approved policy." }, { "id": "the-worm-is-in-the-workflow", "slug": "the-worm-is-in-the-workflow", "title": "The Worm Is in the Workflow", "subtitle": "Shai-Hulud, Miasma, Go-adjacent poisoning, and the end of casual dependency trust", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public-safe-aggregated", "path": "pages/the-worm-is-in-the-workflow/", "created": "2026-07-08", "updated": "2026-07-08", "topicFamily": "ai-governance", "topics": [ "ai-governance", "governed-ai", "platform-engineering", "source-authority", "static-publishing", "teaching-artifacts", "governance", "enterprise-architecture" ], "tags": [ "editorial thesis", "article-first", "software supply chain", "Shai-Hulud", "Miasma", "Go modules", "developer workflow", "AI coding assistants", "trusted publishing", "provenance", "public-source research" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-leadership", "technical-review", "artifact-authors", "governance-review", "executive-review" ], "sourceProfile": { "sourceTypes": [ "public-sources", "user-provided-data", "manually-reviewed" ], "publicSourcesUsed": true, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Uses the locked Claude/Antigravity self-contained HTML seed, locked continuation prompt suite text, public advisories, public vendor research, official ecosystem documentation, and an academic preprint. No raw private source packets, transcripts, screenshots, employer materials, internal documents, local paths, controlled information, backend service, runtime AI, analytics, package tooling, external font, remote asset, or dependency addition is published." }, "validation": { "level": "source-linked", "status": "passed", "summary": "Checked by validation/scripts/check_the_worm_is_in_the_workflow_artifact.py for title/byline/origin/disclaimer, SharePlane chrome, valid TOC anchors, theme and copy behavior hooks, all 15 source URLs, caveat ledger, Go caveat posture, 10 prompt drawers with Mainline White and Dark Expressive blocks, footer receipt, registry reachability, no malformed seed fragments, no external dependencies, and public-safe exclusions." }, "credibility": { "rating": "medium-high", "basis": "Public-source security essay grounded in official advisories, primary security research, official ecosystem documentation, academic preprint evidence, explicit caveat boundaries, locked source posture, and deterministic validation. It is educational analysis, not legal, compliance, operational, procurement, employment, financial, regulatory, incident-response, or employer advice." }, "supports": [ "self-contained-dual-mode-visual-prompt-suite-v1.0" ], "summary": "Public-source security essay arguing that modern software supply-chain compromise now propagates through developer workflow trust, not only bad packages.", "description": "Self-contained static SharePlane artifact covering Shai-Hulud, Mini Shai-Hulud, Miasma, Go-adjacent source-repository poisoning, malicious Go module research, AI coding assistant risk, provenance limits, developer endpoint blast radius, caveat boundaries, source authority, and reusable visual prompts.", "disclaimer": "This material is personal educational work. It reflects public sources and independent analysis. It does not represent my employer, any client, or any vendor. It does not disclose confidential information, controlled documents, internal systems, regulated records, security details, implementation-specific designs, or company-approved policy." }, { "id": "demo-debt", "slug": "demo-debt", "title": "Demo Debt", "subtitle": "The most expensive AI failures will not begin as broken systems. They will begin as impressive demos that nobody knew how to operationalize.", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public-safe-aggregated", "path": "pages/demo-debt/", "created": "2026-07-08", "updated": "2026-07-08", "topicFamily": "ai-governance", "topics": [ "ai-governance", "strategy", "governed-ai", "model-evaluation", "multi-agent-systems", "static-publishing", "teaching-artifacts", "governance" ], "tags": [ "editorial thesis", "article-first", "demo debt", "AI demos", "proof of concept", "operationalization", "agentic AI", "governance", "evaluation discipline", "support ownership", "workflow validation" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-review", "artifact-authors", "governance-review" ], "sourceProfile": { "sourceTypes": [ "public-sources", "user-provided-data", "manually-reviewed" ], "publicSourcesUsed": true, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Uses the locked Claude-generated self-contained HTML article source and its reader-facing public source index. No raw private source packets, transcripts, screenshots, employer materials, internal documents, local paths, controlled information, backend service, runtime AI, analytics, package tooling, build system, external font, remote asset, or dependency addition is published." }, "validation": { "level": "source-linked", "status": "passed", "summary": "Checked by validation/scripts/check_demo_debt_artifact.py for locked source SHA, Demo Debt title/byline/origin/disclaimer, all 15 article sections, repaired TOC and source links, Demo Debt Test, claim/evidence ledger, source index, related artifacts, registry reachability, public-safe exclusions, JavaScript-disabled completeness, and no external runtime/backend/dependency additions." }, "credibility": { "rating": "medium-high", "basis": "Thesis-led public-safe analysis grounded in the locked article source, public source index, explicit claim/evidence ledger, public-safe disclaimer, SharePlane publication standards, and focused deterministic validation. It is strategic educational analysis, not legal, compliance, security, procurement, employment, financial, regulatory, or operational advice." }, "supports": [ "shareplane-premium-editorial-ledger-thesis-pattern-v01" ], "relatedArtifacts": [ "do-not-outsource-the-brain", "clear-thinking-is-the-control-plane", "source-before-agent", "the-right-model-is-the-one-your-eval-can-defend", "context-is-the-product", "artifact-graph" ], "summary": "Article-first SharePlane thesis defining demo debt as the liability created when impressive AI demos are mistaken for supportable operational capability.", "description": "Self-contained static SharePlane article covering AI demos, proofs of concept, scaling gaps, agentic AI risk, governance, support ownership, workflow validation, human review burden, source authority, evaluation discipline, and the Demo Debt Test.", "disclaimer": "This material is personal educational work. It reflects generalized professional experience, public sources, and independent analysis. It does not represent my employer, any client, or any vendor. It does not disclose confidential information, controlled documents, internal systems, regulated records, security details, implementation-specific designs, or company-approved policy." }, { "id": "shareplane-guide", "slug": "shareplane-guide", "title": "SharePlane User and Developer Guide", "subtitle": "A public manual for using, operating, and extending a durable context-as-code artifact system.", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public", "path": "pages/shareplane-guide/", "created": "2026-07-07", "updated": "2026-07-07", "topicFamily": "architecture-and-systems", "topics": [ "enterprise-architecture", "ai-governance", "context-as-code", "teaching-artifacts", "static-publishing", "artifact-library", "pattern-standards", "governance" ], "tags": [ "SharePlane guide", "user guide", "developer guide", "context-as-code", "static publishing", "artifact library", "public-safe boundaries", "validator receipts", "tool portability", "manual operator guide candidate" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-review", "artifact-authors", "governance-review" ], "sourceProfile": { "sourceTypes": [ "user-provided-data", "manually-reviewed", "repository-documentation", "public-safe-registry-metadata" ], "publicSourcesUsed": true, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Uses the Tony-supplied Antigravity self-contained HTML manual payload locked in issue #170, SharePlane repository governance docs, public-safe registry metadata, and focused validation. No raw private source packets, transcripts, screenshots, private notes, employer material, confidential company data, regulated records, patient data, vendor documents, local staging paths, implementation secrets, credentials, backend service, runtime AI, analytics, trackers, RAG system, vector database, package tooling, external font, remote asset, or dependency addition is published." }, "validation": { "level": "deterministic-offline", "status": "passed", "summary": "Checked by validation/scripts/check_shareplane_guide_artifact.py for locked source SHA, title/subtitle/H1, all 21 H2 sections, manual UX markers, authorized mechanical corrections, reader-facing receipt, add-only registry scope, protected pattern-registry boundary, public-safe exclusions, and no external runtime/backend/dependency additions." }, "credibility": { "rating": "high", "basis": "Grounded in the locked Tony-supplied Antigravity manual payload, SharePlane repo governance docs, deterministic focused validation, and explicit public-safe/source-boundary receipt. It is a public SharePlane operating manual, not legal, compliance, security, procurement, medical, financial, audit, or employer advice." }, "relatedArtifacts": [ "how-shareplane-works" ], "summary": "A comprehensive public SharePlane user and developer guide covering the artifact system, role boundaries, workflow lanes, registry behavior, validators, receipts, UAT discipline, portability, and public-safe operating model.", "description": "Self-contained static HTML manual preserving the Tony-approved Antigravity guide UX, including light/dark mode, search, sidebar/table-of-contents navigation, prompt copy buttons, responsive layout, visual prompt suite posture, companion relationship to How SharePlane Works, reader-facing receipt, and explicit no-runtime/no-private-source boundaries.", "disclaimer": "This guide is a public-safe SharePlane operating manual. It does not represent Tony Malott's employer, any client, or any vendor. It does not disclose confidential information, controlled documents, internal systems, regulated records, security details, implementation-specific designs, company-approved policy, raw source packets, transcripts, private notes, credentials, backend systems, or runtime AI behavior." }, { "id": "do-not-outsource-the-brain", "slug": "do-not-outsource-the-brain", "title": "Do Not Outsource the Brain", "subtitle": "In the AI era, contingent labor still has a place. But the enterprise moat belongs to the people who understand the business, the systems, the failure modes, and what should be built next.", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public-safe-aggregated", "path": "pages/do-not-outsource-the-brain/", "created": "2026-07-07", "updated": "2026-07-07", "topicFamily": "ai-governance", "topics": [ "ai-governance", "strategy", "governed-ai", "governance", "static-publishing", "teaching-artifacts" ], "tags": [ "editorial op-ed", "article-first", "enterprise moat", "outsourcing", "AI strategy", "internal capability", "domain judgment", "managed services", "cognitive outsourcing" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-review", "artifact-authors", "governance-review" ], "sourceProfile": { "sourceTypes": [ "public-sources", "user-provided-data", "manually-reviewed" ], "publicSourcesUsed": true, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Uses the locked self-contained HTML article source and its reader-facing public source index. No raw private source packets, transcripts, screenshots, employer materials, internal documents, local paths, controlled information, backend service, runtime AI, analytics, package tooling, or dependency additions are published." }, "validation": { "level": "source-linked", "status": "passed", "summary": "Checked by validation/scripts/check_do_not_outsource_the_brain_artifact.py for locked title/subtitle, article copy preservation, source index links, SharePlane shell/footer compliance, JavaScript-disabled visibility, registry reachability, protected Clear Thinking boundary, protected pattern-registry boundary, and prohibited runtime/source material exclusions." }, "credibility": { "rating": "medium-high", "basis": "Opinion thesis grounded in a locked article source, public source index, explicit claim/evidence ledger, public-safe disclaimer, SharePlane publication standards, and focused validation. It is strategic educational analysis, not legal, compliance, security, procurement, employment, financial, regulatory, or operational advice." }, "supports": [ "shareplane-premium-self-contained-editorial-thesis-pattern-v01" ], "relatedArtifacts": [ "demo-debt" ], "summary": "Article-first SharePlane op-ed arguing that AI makes high-context internal judgment more valuable, so enterprises should outsource capacity rather than the cognitive center of the business.", "description": "Self-contained static SharePlane article covering contingent labor, managed services, AI leverage, internal capability, domain judgment, cognitive outsourcing risk, governance, maintainability, source evidence, and the enterprise moat created by knowing what should be built and why.", "disclaimer": "This material is personal educational work. It reflects generalized professional experience, public sources, and independent analysis. It does not represent my employer, any client, or any vendor. It does not disclose confidential information, controlled documents, internal systems, regulated records, security details, implementation-specific designs, or company-approved policy." }, { "id": "clear-thinking-is-the-control-plane", "slug": "clear-thinking-is-the-control-plane", "title": "Clear Thinking Is the Control Plane", "subtitle": "Why AI rewards disciplined pacing before autonomous scale", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public", "path": "pages/clear-thinking-is-the-control-plane/", "created": "2026-07-07", "updated": "2026-07-07", "topicFamily": "ai-governance", "topics": [ "ai-governance", "governed-ai", "model-evaluation", "multi-agent-systems", "static-publishing", "teaching-artifacts", "governance" ], "tags": [ "clear thinking", "editorial op-ed", "article-first", "AI engineering", "eval discipline", "agentic AI", "excessive agency", "source posture", "controlled autonomy" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-review", "artifact-authors" ], "sourceProfile": { "sourceTypes": [ "user-provided-data", "public-sources", "manually-reviewed", "repository-documentation" ], "publicSourcesUsed": true, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Uses Tony + ChatGPT locked article/addendum source text, Tony-approved Antigravity-generated self-contained HTML, public references from OpenAI, Anthropic, OWASP, Gartner, and arXiv, plus SharePlane publication standards. No raw chat transcript dumps, private source packets, screenshots, employer material, regulated records, patient data, internal documents, local paths, temp files, analytics, trackers, backend services, build tooling, package dependencies, or runtime AI are published." }, "validation": { "level": "deterministic-offline", "status": "passed", "summary": "Checked by validation/scripts/check_clear_thinking_control_plane_artifact.py for locked title/subtitle/byline, required article and addendum anchors, Tony voice preservation markers, restored citation links, SharePlane header/footer compliance, static self-contained HTML/CSS posture, add-only registry scope, protected pattern-registry boundary, and prohibited runtime/source material exclusions." }, "credibility": { "rating": "medium-high", "basis": "Grounded in Tony-approved article/addendum copy, public-source citation posture, explicit source/evidence notes, SharePlane publication standards, focused validation, and static self-contained implementation. It is an opinion/teaching artifact, not legal, compliance, security, procurement, financial, medical, regulatory, or operational advice." }, "relatedArtifacts": [ "demo-debt" ], "summary": "A long-form SharePlane article arguing that AI makes clear thinking the control plane because apparent success is cheap, verified success is expensive, and autonomy must be earned through intent, evals, evidence, and constraint.", "description": "Self-contained static SharePlane article about disciplined AI pacing, deterministic controls around probabilistic systems, eval discipline, agentic risk, excessive agency, citation posture, and why teams should move only as fast as clarity can keep up.", "disclaimer": "This material is personal educational work. It reflects generalized professional experience, public sources, and independent analysis. It does not represent my employer, any client, or any vendor. It does not disclose confidential information, controlled documents, internal systems, regulated records, security details, implementation-specific designs, or company-approved policy." }, { "id": "source-before-agent", "slug": "source-before-agent", "title": "Source Before Agent", "subtitle": "Building a defensible Enterprise Architecture Assistant", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public", "path": "pages/source-before-agent/", "created": "2026-07-07", "updated": "2026-07-07", "topicFamily": "architecture-and-systems", "topics": [ "enterprise-architecture", "ai-governance", "source-authority", "context-as-code", "decision-support", "teaching-artifacts", "static-publishing", "governance" ], "tags": [ "enterprise-architecture", "ai-governance", "source-authority", "context-as-code", "decision-support", "teaching-use-case", "architecture-review", "public-safe" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-review", "artifact-authors", "governance-review" ], "sourceProfile": { "sourceTypes": [ "public-sources", "synthetic-examples", "manually-reviewed", "repository-documentation" ], "publicSourcesUsed": true, "userProvidedDataUsed": false, "privateSourceMaterialPublished": false, "attributionNote": "Uses public governance sources, synthetic teaching examples, SharePlane interpretation, locked public artifact copy, approved visual direction, current public-source posture, and adjacent published artifacts. No raw/private source packets, transcripts, screenshots, employer materials, internal documents, real submissions, local paths, controlled information, backend service, runtime AI, analytics, package tooling, or dependency additions are published." }, "validation": { "level": "deterministic-offline", "status": "passed", "summary": "Checked by validation/scripts/check_source_before_agent_artifact.py for locked title/subtitle/thesis, Article Copy Lock v04 article-preservation markers, required section anchors, Architecture Review Control Tower markers, source authority tiers, source state rules, MVP boundary, integrated evidence spine, revised seven-source public dossier, related artifact links, Visual Prompt Suite v03 A/B variants, collapsed prompt groups, public trust receipt, add-only registry scope, protected pattern-registry boundary, and prohibited runtime/source material exclusions." }, "credibility": { "rating": "medium-high", "basis": "Grounded in public governance sources, explicit source-role caveats, claim/evidence posture, SharePlane interpretation boundaries, focused validation, and adjacent artifact precedent. It is not a legal, regulatory, compliance, security, procurement, or autonomous approval model." }, "relatedArtifacts": [ "context-is-the-product", "the-right-model-is-the-one-your-eval-can-defend", "demo-debt" ], "summary": "A public-safe teaching use case showing why an Enterprise Architecture Assistant needs governed source authority before automation.", "description": "Self-contained static SharePlane field guide covering public-safe provenance, article-level source authority explanation, source authority tiers, source state rules, platform documentation failure modes, context-as-code operation, assistant review flow, MVP boundary, success measures, risks and controls, integrated evidence spine, related artifacts, Visual Prompt Suite v03 A/B variants, and reader-facing receipt.", "disclaimer": "This artifact is a generalized teaching artifact. It reflects public sources, synthetic examples, and independent architecture interpretation. It does not describe a specific company, client, employer, internal program, controlled document, security posture, vendor stack, regulated system, or live implementation." }, { "id": "copyable-agency", "slug": "copyable-agency", "title": "Copyable Agency", "subtitle": "Why digital intelligence changes the control problem", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public", "path": "pages/copyable-agency/", "created": "2026-07-07", "updated": "2026-07-07", "topicFamily": "ai-governance", "topics": [ "ai-governance", "governed-ai", "model-evaluation", "teaching-artifacts", "static-publishing", "governance" ], "tags": [ "Copyable Agency", "digital intelligence", "claim ledger", "source posture", "copyable agency", "evaluation evidence", "caveat rail", "Visual Prompt Suite v03" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-review", "artifact-authors", "governance-review" ], "sourceProfile": { "sourceTypes": [ "public-sources", "manually-reviewed", "repository-documentation" ], "publicSourcesUsed": true, "userProvidedDataUsed": false, "privateSourceMaterialPublished": false, "attributionNote": "Uses the locked Creative Lock in GitHub issue #132 comment 4903239210, the Visual Prompt Suite v03 in issue #132 comment 4900454752, GitHub issue #135 implementation scope, the public Royal Institution event page, public YouTube recording link, Nobel Prize Physics 2024 press release, Apollo Research, Anthropic, METR, PyTorch DistributedDataParallel docs, NIST AI Risk Management Framework, IEA Energy and AI, SharePlane standards, and adjacent published artifacts. No raw transcript, VTT files, subtitle files, source packet zip, packet internals, screenshots, keyframes, media, GUI prototype material, local paths, account data, private notes, temp files, long transcript excerpts, or private source material are published." }, "validation": { "level": "deterministic-offline", "status": "passed", "summary": "Checked by validation/scripts/check_copyable_agency_artifact.py for locked title/subtitle/thesis, source posture, required public line, section map, source spine names and roles, claim/evidence/caveat ledger, caveat rail, governance translation, Visual Prompt Suite v03 only, A/B prompt pairing, mainline white A-variant language, dark expressive B-variant language, public-safe exclusions, static HTML/CSS posture, add-only registry scope, pattern-registry boundary, and receipt coverage." }, "credibility": { "rating": "medium-high", "basis": "Grounded in owner-approved Creative Lock issue comment 4903239210, implementation issue #135, the authoritative Visual Prompt Suite v03 comment 4900454752, public source spine links, explicit claim/evidence/caveat ledger, source-role separation, caveat rail, focused validation, and adjacent SharePlane artifact precedent. It is not proof of consciousness, extinction risk, universal deception, metaphysical identity continuity, or settled AI-risk consensus." }, "supports": [ "shareplane-expert-source-governance-interpretation-v01" ], "relatedArtifacts": [ "the-right-model-is-the-one-your-eval-can-defend", "context-is-the-product", "how-shareplane-works" ], "summary": "A source-derived SharePlane artifact explaining why digital intelligence changes governance when capability becomes copyable, persistent, distributed, and agentically deployed.", "description": "Self-contained static SharePlane artifact covering Hinton as expert source not proof, biological versus digital operating limits, copyable agency mechanism, evaluation evidence, governance translation, claim/evidence/caveat ledger, caveat rail, source spine, Visual Prompt Suite v03, and public-safe receipt.", "disclaimer": "This artifact is educational, source-caveated governance interpretation. It is not a source endorsement, AI consciousness claim, extinction-risk proof, deployed-model behavior proof, procurement recommendation, legal advice, compliance advice, security advice, financial advice, or proof that any model, source, benchmark, governance framework, energy condition, or technical mechanism settles the AI-risk debate." }, { "id": "how-shareplane-works", "slug": "how-shareplane-works", "title": "How SharePlane Works", "subtitle": "The operating model behind a durable, governed, public-safe artifact system.", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public", "path": "pages/how-shareplane-works/", "created": "2026-07-06", "updated": "2026-07-06", "topicFamily": "architecture-and-systems", "topics": [ "ai-governance", "governance", "static-publishing", "artifact-library", "pattern-standards", "teaching-artifacts" ], "tags": [ "How SharePlane Works", "operating model", "context-as-code", "public-safe artifacts", "validator receipts", "pattern candidate" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-review", "artifact-authors", "governance-review" ], "sourceProfile": { "sourceTypes": [ "repository-documentation", "public-safe-registry-metadata", "manually-reviewed" ], "publicSourcesUsed": true, "userProvidedDataUsed": false, "privateSourceMaterialPublished": false, "attributionNote": "Uses docs/guides/SHAREPLANE_HANDBOOK.md, SharePlane repo governance docs, site registry metadata, pattern lifecycle documentation, artifact standards, and publication learning log posture. No raw private source packets, transcripts, screenshots, private notes, confidential company data, regulated records, patient data, vendor documents, local staging paths, temp files, implementation secrets, or account data are published." }, "validation": { "level": "deterministic-offline", "status": "passed", "summary": "Checked by validation/scripts/check_how_shareplane_works_artifact.py for required operating-model sections, title/subtitles, stack vs portable pattern, role map, lifecycle runway, provenance spine, operating cards, featured logic, pattern lifecycle fields, claim/provenance ledger, future handbook/manual boundary, footer receipt, collapsible visual prompt suite, add-only registry mutation, protected pattern registry boundary, public-safe source exclusions, and no runtime/build/backend additions." }, "credibility": { "rating": "high", "basis": "Grounded in the merged docs-side SharePlane Handbook, current repository governance docs, source-controlled registry and pattern metadata, focused validation, and explicit future handbook/manual boundary." }, "relatedArtifacts": [ "shareplane-guide", "copyable-agency", "the-right-model-is-the-one-your-eval-can-defend" ], "summary": "A public SharePlane operating-model artifact explaining the current Tony + ChatGPT + Codex implementation and the portable context-as-code pattern behind durable public-safe artifacts.", "description": "Self-contained static SharePlane operating-model artifact covering role boundaries, lifecycle runway, provenance spine, registry and pattern lifecycle behavior, operating cards, claim/provenance ledger, Documentation / Learning Update Gate, future handbook/manual boundary, visual prompt suite, and reader-facing receipt.", "disclaimer": "This artifact documents SharePlane operating discipline and a candidate manual/operator-guide web pattern surface. The full public handbook/manual remains future scope. It is not a formal pattern registry entry, runtime AI product, backend system, RAG system, vector database, analytics surface, legal advice, compliance advice, security advice, or external audit." }, { "id": "the-right-model-is-the-one-your-eval-can-defend", "slug": "the-right-model-is-the-one-your-eval-can-defend", "title": "The Right Model Is the One Your Eval Can Defend", "subtitle": "A repeatable model-selection loop for quality, latency, cost, routing, and operational fit.", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public", "path": "pages/the-right-model-is-the-one-your-eval-can-defend/", "created": "2026-07-06", "updated": "2026-07-06", "topicFamily": "ai-learning", "topics": [ "ai-governance", "model-evaluation", "strategy", "teaching-artifacts", "static-publishing", "governance" ], "tags": [ "model selection", "eval discipline", "model routing", "failure classification", "prompt caching", "local open models", "source-to-thesis-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 the locked Creative Lock blueprint docs/artifact-blueprints/the-right-model-is-the-one-your-eval-can-defend-v01.md, the public-safe candidate docs/artifact-candidates/model-selection-is-an-evaluation-discipline-v01.md, the Anthropic workshop as vendor seed source, official OpenAI, Google, AWS, Anthropic, Hugging Face, and vLLM documentation, SharePlane standards, and adjacent published artifacts. No raw source packets, transcripts, subtitles, screenshots, media, private source material, local paths, GUI prototype files, prototype screenshots, temporary files, implementation secrets, or normalization handoffs are published." }, "validation": { "level": "deterministic-offline", "status": "passed", "summary": "Checked by validation/scripts/check_model_selection_eval_discipline_artifact.py for locked title/subtitle/thesis, required article sections, source caveats, forbidden claims, no pricing table, copyable lightweight evaluation template, claim/evidence/caveat ledger, source dossier, related artifact links, seven-concept/fourteen-prompt suite, copy controls, theme controls, footer receipt, registry scope, pattern-registry boundary, and prohibited runtime/source material exclusions." }, "credibility": { "rating": "medium-high", "basis": "Grounded in an owner-approved Creative Lock blueprint, public-safe candidate, vendor-workshop seed source with caveats, official provider and project documentation, SharePlane standards, focused validation, and adjacent artifact precedents. It is not a model benchmark, provider ranking, pricing table, or universal governance proof." }, "relatedArtifacts": [ "how-shareplane-works", "context-is-the-product", "when-execution-gets-cheap-advantage-moves", "the-subscription-is-tuition", "source-before-agent", "copyable-agency", "demo-debt" ], "summary": "A SharePlane operating-playbook artifact arguing that model selection is an evaluation discipline: define the work, compare candidates, inspect traces, classify failures, record the decision, and retest when conditions change.", "description": "Self-contained static SharePlane artifact about model-selection eval loops, wrong-way selection patterns, decision axes, failure classification, routing frontier, config frontier, copyable lightweight model evaluation template, claim/evidence/caveat ledger, source dossier, related artifacts, and paired visual prompt suite.", "disclaimer": "This artifact is educational and source-caveated operating discipline. It is not a provider endorsement, model benchmark, static pricing guide, procurement recommendation, legal advice, compliance advice, security advice, financial advice, or proof that any model, provider, benchmark, private eval, routing policy, prompt caching feature, or local/open model is universally best." }, { "id": "the-subscription-is-tuition", "slug": "the-subscription-is-tuition", "title": "The Subscription Is Tuition", "subtitle": "Employer AI gives access. Personal practice builds fluency.", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public", "path": "pages/the-subscription-is-tuition/", "created": "2026-07-06", "updated": "2026-07-06", "topicFamily": "ai-learning", "topics": [ "ai-governance", "teaching-artifacts", "static-publishing", "governance", "strategy" ], "tags": [ "AI fluency", "personal practice", "eval discipline", "regulated AI", "shadow AI boundary", "source-to-thesis-artifact" ], "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 the curated public-safe thesis candidate docs/artifact-candidates/the-subscription-is-tuition-v01.md, its public-source citation spine, SharePlane publication standards, and adjacent published artifacts. Pricing and product-plan claims remain current as of the candidate date, 2026-07-05. No raw source packets, transcripts, screenshots, media, private source material, regulated records, confidential company data, source code, quality data, patient data, vendor documents, internal strategy, security material, temporary files, or normalization handoffs are published." }, "validation": { "level": "deterministic-offline", "status": "passed", "summary": "Checked by the The Subscription Is Tuition focused validator for locked identity, required anchors, long-form article lane, source spine, authority tiers, caveats, claim/evidence ledger classes, related artifact explanations, visual prompt suite quality markers, footer receipt posture, registry scope, pattern-registry boundary, prohibited runtime/source material exclusions, and docs/workflows/receipts/the_subscription_is_tuition_publication_receipt.md." }, "credibility": { "rating": "medium-high", "basis": "Grounded in an owner-approved public-safe thesis candidate, public-source citation spine, regulator and official product documentation, institutional synthesis, caveated commercial ecosystem signals, SharePlane standards, and adjacent artifact precedents. Pricing and plan claims remain current as of 2026-07-05 unless re-verified." }, "supports": [ "shareplane-long-form-editorial-thesis-pattern-v01" ], "relatedArtifacts": [ "artifact-graph", "context-is-the-product", "when-execution-gets-cheap-advantage-moves", "agent-readable-web", "the-right-model-is-the-one-your-eval-can-defend" ], "summary": "A long-form SharePlane thesis artifact arguing that employer AI provides governed access while personal practice builds durable AI fluency through model literacy, eval discipline, source boundaries, and governance judgment.", "description": "Self-contained static SharePlane artifact about AI fluency, employer AI, personal practice, wrapper literacy, model literacy, evals, regulated governance, shadow AI boundaries, source caveats, claim posture, related artifacts, and visual prompt suite reuse.", "disclaimer": "This artifact is professional-development and architecture judgment material. It is not legal, medical, security, procurement, pricing, vendor, regulatory, employment, financial, or professional advice and does not recommend bypassing employer governance or using personal AI tools for controlled material." }, { "id": "when-execution-gets-cheap-advantage-moves", "slug": "when-execution-gets-cheap-advantage-moves", "title": "When Execution Gets Cheap, Advantage Moves", "subtitle": "Cheap AI model routing is table stakes. The real advantage is context-rich frontier scouting: finding the work nobody knew to put on the list.", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public", "path": "pages/when-execution-gets-cheap-advantage-moves/", "created": "2026-07-05", "updated": "2026-07-05", "topicFamily": "ai-learning", "topics": [ "ai-governance", "strategy", "teaching-artifacts", "static-publishing", "governance" ], "tags": [ "cheap execution", "frontier scouting", "model routing", "workflow redesign", "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 automatic captions as transcript input, an out-of-band source packet, and the committed verification receipt. Raw packet, transcript, subtitle, media, screenshot, keyframe, and extraction files are not published." }, "validation": { "level": "deterministic-offline", "status": "passed", "summary": "Checked by the When Execution Gets Cheap focused validator for locked identity, required anchors, source dossier, two-layer stack, claim posture chips, diagnostic questions, operating loop, claim ledger, visual prompt suite, capstone prompt, public-safe exclusions, receipt existence, and registry metadata." }, "credibility": { "rating": "medium-high", "basis": "Grounded in a public source video, source packet identity, external verification for durable identity claims, and explicit source-claim handling for unresolved model, porch-workflow, and migration details." }, "summary": "A premium source-derived strategy artifact explaining why cheap AI execution commoditizes known work and moves advantage toward frontier scouting, better questions, verification, and workflow redesign.", "description": "Self-contained static SharePlane artifact about cheap AI execution, model routing, frontier scouting, source claim posture, leader diagnostics, and routing proven workflows back into low-cost execution.", "disclaimer": "This artifact is educational and source-grounded. It is not model benchmarking, vendor endorsement, legal, privacy, marketing, security, operational, or professional advice and does not verify exact model prices, model rankings, porch-workflow deployment, or Stripe migration details." }, { "id": "context-is-the-product", "slug": "context-is-the-product", "title": "Context Is the Product", "subtitle": "AI does not create durable capability. Governed context does.", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public", "path": "pages/context-is-the-product/", "created": "2026-07-06", "updated": "2026-07-06", "topicFamily": "architecture-and-systems", "topics": [ "platform-engineering", "ai-governance", "multi-agent-systems", "teaching-artifacts", "static-publishing", "governance", "strategy" ], "tags": [ "context plane", "artifact graph", "claim evidence ledger", "human approval", "static-first architecture" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-review", "artifact-authors" ], "sourceProfile": { "sourceTypes": [ "user-provided-data", "public-sources", "manually-reviewed", "repository-documentation" ], "publicSourcesUsed": true, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Uses Tony + ChatGPT strategy origin, docs-side candidate docs/artifact-candidates/context-is-the-product-strategy-v01.md, official OpenAI, Anthropic, MCP, Google Gemini, and LangChain documentation, plus SharePlane standards and adjacent artifacts. No raw chat transcript dumps, private source material, screenshots, temp files, media, source packets, or normalization handoffs are published." }, "validation": { "level": "deterministic-offline", "status": "passed", "summary": "Checked by the Context Is the Product focused validator for locked identity, rewritten article lane, hero architecture visual, official-source dossier, external-support claim ledger, related artifact explanations, visual prompt suite, footer receipt, static boundaries, registry metadata, and prohibited runtime/source material exclusions." }, "credibility": { "rating": "medium-high", "basis": "Grounded in owner-approved strategy material, SharePlane repo-governance standards, official provider/protocol/framework docs, and adjacent SharePlane artifacts. It is not an independent market report, and tenant/product capability claims remain caveated pending target-tenant verification." }, "dependsOn": [ "agent-readable-web" ], "supports": [ "artifact-graph" ], "relatedArtifacts": [ "agent-readable-web", "llm-wikis-compiled-context", "when-execution-gets-cheap-advantage-moves", "own-memory-rent-intelligence-agent-stack", "pattern-catalog", "source-before-agent", "copyable-agency", "the-right-model-is-the-one-your-eval-can-defend", "the-subscription-is-tuition", "demo-debt" ], "summary": "A SharePlane thesis artifact arguing that durable AI capability comes from governed context: source inventory, artifact graph, claim/evidence ledger, validation, receipts, handoffs, and human approval.", "description": "Self-contained static SharePlane artifact about the context plane as the durable product, with article lane, executive scan, source dossier, claim ledger, related artifact path, prompt suite, and footer receipt.", "disclaimer": "This artifact is owner-approved strategy material, not independently audited external research. It does not verify enterprise tool capabilities and does not publish private or raw source material." }, { "id": "artifact-graph", "slug": "artifact-graph", "title": "Artifact Graph", "subtitle": "A page becomes durable when its sources, claims, receipts, validators, and related artifacts are traversable.", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public", "path": "pages/artifact-graph/", "created": "2026-07-06", "updated": "2026-07-06", "topicFamily": "architecture-and-systems", "topics": [ "platform-engineering", "ai-governance", "multi-agent-systems", "teaching-artifacts", "static-publishing", "governance", "strategy" ], "tags": [ "artifact graph", "claim evidence ledger", "source dossier", "validation receipts", "human approval", "static-first architecture" ], "audience": [ "engineering-leadership", "enterprise-architecture", "ai-governance", "technical-review", "artifact-authors" ], "sourceProfile": { "sourceTypes": [ "repository-documentation", "manually-reviewed", "user-provided-data" ], "publicSourcesUsed": false, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Uses owner-approved SharePlane strategy framing, SharePlane repo standards, current registry metadata, learning receipts, and adjacent published artifacts. No raw chat transcript dumps, private source material, screenshots, temp files, media, source packets, or normalization handoffs are published." }, "validation": { "level": "deterministic-offline", "status": "passed", "summary": "Checked by the Artifact Graph focused validator for locked identity, required anchors, article lane ordering, graph anatomy, edge taxonomy, source dossier UX fields, claim ledger IDs, related artifact explanations, visual prompt suite, footer receipt, registry metadata, and prohibited runtime/source material exclusions." }, "credibility": { "rating": "medium-high", "basis": "Grounded in SharePlane repo-governance standards, current registry metadata, adjacent published artifacts, and explicit caveats. It is not external research or proof of any vendor/product capability." }, "dependsOn": [ "context-is-the-product" ], "relatedArtifacts": [ "context-is-the-product", "agent-readable-web", "llm-wikis-compiled-context", "when-execution-gets-cheap-advantage-moves", "the-subscription-is-tuition", "demo-debt" ], "summary": "A SharePlane thesis artifact explaining how a public page becomes durable context through governed source, claim, evidence, validation, receipt, registry, related-artifact, and approval edges.", "description": "Self-contained static SharePlane artifact about artifact graphs, source dossiers, claim ledgers, validators, receipts, related artifacts, registry metadata, and human approval gates.", "disclaimer": "This artifact is repo-derived strategy and architecture material. It is not legal, security, SEO, AI-agent, vendor, benchmark, or professional advice and does not verify external product capabilities." }, { "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." }, "supports": [ "premium-editorial-technical-explainer-v01" ], "relatedArtifacts": [ "context-is-the-product", "artifact-graph", "the-subscription-is-tuition" ], "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." }, "patternDependencies": [ "source-to-teaching-artifact-v1.0" ], "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." }, { "id": "the-ai-underclass-will-be-built-with-access-controls", "slug": "the-ai-underclass-will-be-built-with-access-controls", "title": "The AI Underclass Will Be Built With Access Controls", "subtitle": "Frontier AI is becoming strategic infrastructure, and access is becoming the control plane.", "type": "teaching-artifact-worked-example", "format": "single-file-html", "status": "published", "privacy": "public-safe-aggregated", "path": "pages/the-ai-underclass-will-be-built-with-access-controls/", "created": "2026-07-07", "updated": "2026-07-08", "topics": [ "ai-governance", "strategy", "governance", "static-publishing", "teaching-artifacts" ], "tags": [ "editorial op-ed", "access controls", "frontier AI", "public-source dossier", "source preservation" ], "audience": [ "engineering-leadership", "ai-governance", "technical-review", "artifact-authors", "governance-review" ], "sourceProfile": { "sourceTypes": [ "public-sources", "user-provided-data", "manually-reviewed" ], "publicSourcesUsed": true, "userProvidedDataUsed": true, "privateSourceMaterialPublished": false, "attributionNote": "Uses a user-provided locked HTML opinion artifact and a reader-facing public source dossier. No employer, client, vendor, controlled, confidential, or private operational material is published." }, "validation": { "level": "source-linked", "status": "passed", "summary": "Checked by the AI Underclass artifact validator for source-lock markers, article-preservation lines, public-safe author and claim posture, source dossier links, registry metadata, and absence of prohibited runtime additions." }, "credibility": { "rating": "medium-high", "basis": "Opinion thesis grounded in public sources and professional judgment. Speculative risks are framed as plausible scenarios, not settled fact." }, "supports": [ "shareplane-minimal-editorial-op-ed-pattern-v01" ], "summary": "Article-first public-safe editorial op-ed on frontier AI access controls, strategic infrastructure, and the risk of metered or delayed access to advanced models.", "disclaimer": "This artifact is personal educational/opinion work. It does not represent Tony Malott's employer, any client, any vendor, or any company-approved policy." }, { "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." } ] }