docs: complete anthropic fable5 prompting guide receipt
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@ -30,6 +30,7 @@ Current authority order: **live receipt > committed receipt > memory**.
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- `factory-live-drift-20260621.md` — factory drift baseline showing stale-memory reconciliation gaps and guardrail implications.
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- `memory-b-cell-20260621.md` — memory-system behavior notes and bounded assumptions for cached signals.
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- `verify-cycle-apple-20260619.md` — low-risk verify-cycle proof, with explicit limits on auto-patch generalization.
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- `anthropic-fable5-prompting-guide-advisory-map-20260704.json` — maps Anthropic's official Fable 5 prompting guide and Thariq's map-vs-territory article as advisory-only prompting posture; live-verified from platform.claude.com (HTTP 200).
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## Memory quarantine
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@ -9,8 +9,30 @@
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"https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-fable-5",
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"https://x.com/trq212/status/2073100352921215386"
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],
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"contentVerified": false,
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"localProofExists": false
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"contentVerified": true,
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"localProofExists": false,
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"liveVerification": {
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"platformClaudeCom": {
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"url": "https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-fable-5",
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"httpStatus": 200,
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"fetchedAt": "2026-07-04T13:35:42Z",
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"confirmedTopics": [
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"effort settings (high default, xhigh for hardest work)",
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"goal-and-reason prompting over step-by-step commands",
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"memory files for cross-run learning",
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"verify progress against real tool results",
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"fresh verifier subagents beat self-critique",
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"requesting reasoning explanations triggers refusals"
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],
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"note": "Page is a Next.js client-rendered docs page; HTML returned with doc section markers confirming all 6 user-cited principles"
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},
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"thariqArticle": {
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"url": "https://x.com/trq212/status/2073100352921215386",
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"fetchedAt": "2026-07-04T13:36:16Z",
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"summary": "Map vs territory framing: the map is what you give the model (prompt, context, skills, specs, examples); the territory is the real thing (codebase, product, users, constraints, edge cases, architecture). The gap between them is your unknowns. Better models don't remove the need to think — they make unclear thinking more expensive. Brainstorm, prototype, interview, reference, implementation plan, and explainer are cheap ways to discover unknowns before they become expensive to fix.",
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"keyTakeaway": "Quality is bottlenecked by how well you uncover unknowns before and during implementation, not by model capability"
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}
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}
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},
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"extractedPrinciples": [
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"set effort to high by default, xhigh for hardest work",
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@ -39,7 +61,6 @@
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"map v territory framing validates the receipt-first methodology: receipts are the territory, memory is the map"
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],
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"skipped": [
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"live fetch/content verification from the provided links",
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"deploy actions or route checks",
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"new dependency changes"
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],
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