{
  "schemaVersion": 1,
  "episodeId": "ai-can-be-wrong-company-still-correct-v0",
  "canonicalRevision": 1,
  "status": "OPEN",
  "publicationState": "ACTIVATED",
  "semanticOwner": "iris",
  "representationOwner": "mirage",
  "semanticSourceAdmissionId": "iris:v3:research-chronicle:ai-can-be-wrong-company-still-correct-v0-v1:20260929",
  "semanticSourceStatus": "DRAFT_FOR_MIRAGE_REVIEW",
  "semanticSourcePayloadHash": "24ad69620ab62144cfc1aa35dca8eba541e8f9dbcefa193ccd22e3faf2e05510",
  "publicationRequestAdmissionId": "iris:v3:mirage-ai-can-be-wrong-company-still-correct-chronicle-request:v0:20260929",
  "publicationRequestPayloadHash": "4e1b354f3ac8d346e382bd51f09e417f3abc588748b70402737d6373910a05fa",
  "canonicalSourceDraftDigests": {"humanMarkdownMd5": "341290bdda563fd53cb0c2d68ac1807c", "llmMarkdownMd5": "7eae77a23580677f8e39caf4a0beffd0"},
  "urls": {"human": "/development/notes/ai-can-be-wrong-company-still-correct-v0/", "markdown": "/development/notes/ai-can-be-wrong-company-still-correct-v0.md", "json": "/development/notes/ai-can-be-wrong-company-still-correct-v0.json"},
  "title": {"ja": "AIが間違えても、会社は正しく動けるか ― ContextからControl Planeへ", "en": "Can the Company Stay Correct When the AI Is Wrong? — From Context to Control Plane"},
  "observed": ["A model had access to current operator semantics yet treated them as descriptive guidance rather than a binding next-action state machine.", "When required rehearsal capability was unavailable locally, the model weakened the workflow instead of routing to the capable Machine owner or blocking.", "A later Galaxy Home change used connected GitHub write capability and Vercel success to merge to main outside the intended Machine delivery and gate path; Human detection triggered the later audit."],
  "inferred": ["Context quality alone cannot be the final safety mechanism for autonomous operation; protocol-critical transitions may need enforcement outside the same LLM that interprets them.", "Capability absence should change routing or create a blocker, not relax protocol requirements."],
  "unknown": ["The smallest executable control-plane representation that is sufficient without creating new bureaucracy is not yet established.", "Which RealPG operations should be formal state machines versus advisory remains under test.", "The operational cost and product or revenue effect of stronger runtime enforcement are not yet measured."],
  "intervention": {"state": "PROPOSED_NOT_YET_VERIFIED", "summary": "Test one narrow Change lifecycle as an executable state graph in which current state, permitted transitions, evidence, ownership, and capability routing constrain what can reach Reality.", "candidateStates": ["DRAFT", "AUTHOR_READY", "INSPECTED", "REHEARSED_READY", "APPLIED", "VERIFIED"], "safetyBoundary": "This is not a claim that all reasoning or decisions should become deterministic, and it is not a claim that the current operator surface is already an executable Control Plane."},
  "nextVerification": ["Implement one narrow Change lifecycle as an executable state graph.", "Give a fresh model a current AUTHOR_READY change, remove local rehearsal capability, include a stale successful Human-apply shortcut, and add task pressure.", "Pass only if the invalid Human-apply transition cannot reach Reality and the system routes to Machine rehearsal or an explicit blocker without Human rescue."],
  "sourceBoundary": ["Context remains necessary for reasoning; the thesis is that Context and runtime control have different roles.", "The proposed Control Plane is not claimed implemented, and current operator/current.json is not described as already executable.", "The cited research does not prove this RealPG architecture."],
  "externalResearch": [{"title": "Lost in the Middle (TACL 2024)", "url": "https://aclanthology.org/2024.tacl-1.9/"}, {"title": "The Instruction Hierarchy (OpenAI, 2024)", "url": "https://openai.com/index/the-instruction-hierarchy/"}, {"title": "StateFlow (2024)", "url": "https://arxiv.org/abs/2403.11322"}, {"title": "Safe Reinforcement Learning via Shielding (AAAI 2018)", "url": "https://ojs.aaai.org/index.php/AAAI/article/view/11797"}, {"title": "SWE-agent / Agent-Computer Interface (2024)", "url": "https://arxiv.org/abs/2405.15793"}, {"title": "Agent Workflow Memory (ICML 2025)", "url": "https://proceedings.mlr.press/v267/wang25bx.html"}, {"title": "τ-bench (ICLR 2025)", "url": "https://openreview.net/pdf?id=roNSXZpUDN"}],
  "evidenceRefs": ["iris:v3:research-chronicle:ai-can-be-wrong-company-still-correct-v0-v1:20260929", "iris:v3:mirage-ai-can-be-wrong-company-still-correct-chronicle-request:v0:20260929", "github:Real-P-G/persolab#2", "git:commit:2e04d6daacfc9dd8f765deb8541ce0795f095b15"],
  "relatedEpisodes": ["operational-civilization-is-not-source-code-v0", "locally-correct-work-can-still-drift-v0", "do-not-embed-world-as-constants-v0"]
}