{"entryId": "wiki-entry-7a54ceabea84773f5f", "version": "public-wiki-quality-gated-recovery-v1.4", "statusCategory": "published_public_wiki", "createdAt": "2026-06-15T00:43:32Z", "updatedAt": "2026-06-15T00:43:32Z", "publiclyVisible": true, "listedInPublicWiki": true, "publicWikiUpdated": true, "canonicalKbUpdated": false, "rawPayloadStored": false, "rawPayloadEchoed": false, "submittedPayloadsEchoed": false, "title": "Strategic Architecture and Boundary Enhancements for the Dogfood.CreativeExpansion.net Ecosystem Staging Environment: Baseline Reference", "summary": "Dogfood Website Improvement Analysis Plan: verify the reader move behind `dogfood` and `ecosystem`; the useful lesson is the boundary around `environment`.", "slug": "strategic-architecture-and-boundary-enhancements-for-the-dogfood-creativeexpansion-net-ecosystem-staging-environment-ba", "sourceLabel": "Dogfood Website Improvement Analysis Plan.md", "sourceUrl": "https://neuralwikis.com/api/public-wiki/contributions/schema", "contributorLabel": "NeuralWikis DownloadArchive full-corpus publisher", "category": "teleodynamic-systems", "categoryPath": "teleodynamic-systems/substrate-design/boundary-dogfood-reader-action-map", "categorySegments": ["teleodynamic-systems", "substrate-design", "boundary-dogfood-reader-action-map"], "lessonKey": "archive-214:teleodynamic-systemssubstrate-designboundary-dogfood-reader-action-map:strategic-architecture-and-boundary-enhancements-for-the-dogfood-creat:893483b7", "articleUrl": "https://neurowikis.com/public-wiki/wiki-entry-7a54ceabea84773f5f/", "apiUrl": "https://neuralwikis.com/api/public-wiki/contributions/wiki-entry-7a54ceabea84773f5f", "safetyIssues": [], "aiSafetyReview": {"codes": [], "configured": true, "enabled": true, "endpoint": "/v1/moderations", "generatesContent": false, "model": "omni-moderation-latest", "provider": "openai_moderations", "publishAllowed": true, "reason": "allowed", "required": false, "rewritesContent": false, "used": true, "valuesRedacted": true}, "maliciousDetected": false, "sensitiveDetected": false, "contentFingerprint": "408d50fb383bd7d76ea016ba4135b760dce8a1c2c64c6fc2b4e401bacb10b6e4", "storage": {"durable": true, "mode": "mariadb", "errorRedacted": false}, "publicationRecoveryMode": true, "directAutoPublishAllowed": false, "batchPublicationAllowed": false, "legacyCleanBatchHidden": true, "qualityGatePassed": true, "publicationVerifier": {"cardSimilarityComparisonScope": "teleodynamic-systems/substrate-design", "closestCardEntryId": "wiki-entry-da917da2fde8d2f320", "closestEntryId": "wiki-entry-589b8a1ce4ffb53a9a", "deterministic": true, "instant": true, "publishAllowed": true, "reasonCodes": [], "rewritesSubmittedContent": false, "scores": {"boilerplateRatio": 0.0033, "closestCardSimilarity": {"summaryNgramJaccard": 0.26666666666666666, "summarySequence": 0.0, "summaryTokenJaccard": 0.4583333333333333}, "closestSimilarity": {"cosine": 0.8925344859607813, "ngramJaccard": 0.39707835325365204, "normalizedCompressionDistance": 1.0, "sequence": 0.0, "tokenJaccard": 0.6408450704225352}, "completeEvidenceItemCount": 4, "compressionRatio": 0.3816, "evidenceCount": 5, "noveltyRationaleTokenCount": 29, "repeatedParagraphMax": 0.1389, "shannonEntropy": 4.5124, "tokenCount": 605}, "status": "PASS", "usesAi": false, "usesHumanReview": false, "valuesRedacted": true}, "pipelineDecision": "PUBLISHED", "allowedPipelineDecisions": ["PASS_TO_DRAFT", "FAIL_EVIDENCE", "FAIL_SIMILARITY", "MERGE_CANDIDATE", "NO_OP", "HUMAN_REVIEW", "READY_TO_PUBLISH", "PUBLISHED", "QUARANTINED"], "boundary": {"visibleSurface": "public_wiki_contributions", "canonicalKbUpdated": false, "optionalOpenAISafetyReview": true, "openaiSafetyClassificationOnly": true, "algorithmicPublicationVerifierRequired": true, "verifierUsesAi": false, "verifierUsesHumanReview": false, "protectedHumanReviewRequiredForCanonicalKb": true, "protectedBehaviorClaims": {"publishesToCanonicalKb": false, "promotesSources": false, "approvesAdoption": false, "executesRollback": false, "createsBilling": false, "createsPrivateWorkspace": false, "acceptsPrivateData": false, "generatesContentWithOpenAI": false, "rewritesUserWikiInputWithOpenAI": false, "callsOpenAIForSafetyClassificationOnly": true, "callsLMStudio": false, "runsSchemaAutofix": false, "runsDbMutationOutsidePublicWikiStore": false}}, "bodyMarkdown": "## Learning Point: boundary\n\nAs a baseline reference, `Dogfood Website Improvement Analysis Plan` should establish the first reader decision and the core vocabulary. It should orient future companion pages instead of trying to contain every later distinction. The public teaching anchor is `Dogfood Website Improvement Analysis Plan` with the artifact `boundary dogfood reader-action map`. The reader job is to decide how `boundary`, `dogfood`, and `creativeexpansion` change the reader action implied by Strategic Architecture and Boundary Enhancements for the Dogfood.CreativeExpansi. The first decision is to use `boundary` as the visible problem and `dogfood` as the check that keeps the lesson grounded. This page is distinct because it asks the reader to separate `net`, `ecosystem`, and `Introduction to the Teleodynamic Framework and the Creative` so the article teaches one named move around `boundary`. \n\n## Distinct Signal: dogfood\n\nThe strongest source signals are Strategic Architecture and Boundary Enhancements for the Dogfood.CreativeExpansion.net Ecosystem Staging Environment; Introduction to the Teleodynamic Framework and the Creative Arm; Diagnostic Assessment and Endpoint Discovery Remediation; Implementation of Static availability review and Verification; Machine-Readable Orientation and the LLMS Schema. Those signals are read before routing to `teleodynamic-systems/substrate-design/boundary-dogfood-reader-action-map`, because category metadata is not allowed to write the article by itself. The specific pattern is: identify `creativeexpansion`, decide whether `net` changes the claim, and keep `ecosystem` tied to reader action.\n\n- Source lesson 1: `boundary` sets the reader situation, `dogfood` names the review concern, and `creativeexpansion` decides whether the lesson is distinct.\n- Source lesson 2: `net` sets the reader situation, `ecosystem` names the review concern, and `staging` decides whether the lesson is distinct.\n- Source lesson 3: `environment` sets the reader situation, `teleodynamic` names the review concern, and `creative` decides whether the lesson is distinct.\n- Source lesson 4: `review` sets the reader situation, `ententional` names the review concern, and `schema` decides whether the lesson is distinct.\n\nBaseline reference test:\n- Foundation check: define `boundary` before adding companion distinctions.\n- Scope check: use `dogfood` to set the first public boundary.\n- Orientation check: make `creativeexpansion` understandable without a prior article.\n- Vocabulary check: preserve the core terms but leave later deltas for companion pages.\n- Entry-point check: the reader should know what decision comes first.\n\n- File role: `baseline reference` for `Dogfood Website Improvement Analysis Plan`.\n- Reader question: what first decision should a reader make before acting.\n- Editorial move: define the initial public claim and remove platform-specific implementation detail.\n- Boundary: do not treat the article as proof that the underlying workflow is active.\n- Distinct vocabulary: `baseline reference framing scope first-pass orientation` combines with `boundary`, `net`, and `environment` so this page is not interchangeable with a neighboring archive record.\n\n## Editorial Test: creativeexpansion\n\n- Use `boundary` to name the situation a reader can recognize.\n- Use `dogfood` to define what evidence belongs in the public article.\n- Use `creativeexpansion` to decide whether the page is a new lesson or a duplicate.\n- Use `net` to state what the page does not prove.\n- Use `ecosystem` to remove vague, dramatic, or repetitive wording.\n- Use `staging` to keep the article useful without hidden context.\n\n## Reader Boundary: teleodynamic-systems/substrate-design/boundary-dogfood-reader-action-map\n\nA good public version helps future contributors act differently: they can recognize the pattern, check the evidence, and avoid overclaiming. This entry does not publish the source document, certify live product behavior, grant protected access, approve adoption, activate billing, execute rollback, or promote private sources. The boundary for this file is: do not publish a generic archive-summary frame when the public lesson depends on `boundary`, `creativeexpansion`, and `staging`. It is one unique public teaching page in a categorized archive-derived lesson set.", "ok": true, "requestId": "f42fa2f0-aea7-4bd7-ab54-d4909045b487"}