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Implement AI Slop Detector Agent with GPT-5 & Claude Opus 4.1

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Linked challenge: Combat AI Slop: Multi-Agent System for Content Authenticity

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Linked challenge
Combat AI Slop: Multi-Agent System for Content Authenticity

Prompt source

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Implement the core logic for the 'AI Detector' agent. This agent should utilize GPT-5 for initial classification and optionally invoke Claude Opus 4.1 for deeper authenticity analysis on borderline cases. Your implementation must demonstrate adaptive reasoning budgets: simple cases should be processed quickly, while complex ones trigger a more detailed, budget-aware analysis. Provide example prompts used for each model.

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.