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Implement Adaptive Reasoning for Policy Urgency

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Linked challenge: AI Policy Compliance Agents

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Linked challenge
AI Policy Compliance Agents

Prompt source

Original prompt text with formatting preserved for inspection.

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Describe and implement a mechanism where agents can dynamically adjust their 'thinking budget' or depth of analysis based on an assessment of the policy's urgency, complexity, and potential impact. For instance, a highly impactful, newly drafted policy might trigger a 'deep-dive' extended thinking mode for Claude Opus, while a minor amendment might receive a quicker, summarized review.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.