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Large Language ModelsAI Business & IndustryZenn AI/MLPublished: Nov 14, 2026, 16:00 JST

Claude Fable 5.2 guidance flags rule bloat; tester added 6 rules in 2 days

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Claude Fable 5.2 guidance flags rule bloat; tester added 6 rules in 2 days

3 Key Points

  1. What happened

    After Claude Fable 5.2 launched on 2026年11月9日, the writer added 6 promises and more than 3 watch mechanisms in two days — against Anthropic's advice to review and trim accumulated rules.

  2. Why it matters

    Anthropic's own page warns that leftover instructions from earlier models can add cost, cause side effects, or stop working — and this case suggests the pull to fix failures with new rules is hard to resist.

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Context & Analysis

Anthropic's guidance is aimed at a common habit: after a model upgrade, old prompts and harnesses designed for earlier models can linger and quietly add cost or side effects. The new model came out on November 9, 2026, and the writer had been building instructions for Claude Code for four months — a CLAUDE.md, per-task procedure documents, and a memory the AI writes itself. So when the official page listed seven things to review, he applied each one to his own files.

What stood out was the timing. He had already added 6 promises and more than 3 watch mechanisms in those two days, often to patch a failure that had just occurred. A separate audit by the new model suggested the environment relied too much on words — rules, promises, memory — which are read long before the moment they are meant to matter, rather than on procedures or mechanisms that act at the point of use. The planned decision on 11月15日 is about what to cut and what to move into procedures or mechanisms.

FAQ
What does Anthropic say to review when a new model arrives?
Anthropic lists seven items, including standing delegation instructions, token budgets, harnesses that rewrite earlier turns, and accumulated rules and memory. It recommends deleting notes whose reasons no longer apply and rewriting absolute rules with scope and rationale.
Did the writer's checks actually work?
The writer had the new model examine the two days of failures, and it concluded the checks were effective but came in the wrong order — 4 of 5 cross-checks found fixes, yet most happened after the answer was already delivered.
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