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Evaluate AI Slop Detection with Test Cases

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Linked challenge: Orchestrate Scientific Integrity Agent Crew

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Linked challenge
Orchestrate Scientific Integrity Agent Crew

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Original prompt text with formatting preserved for inspection.

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Create 3-5 distinct test cases for the 'AI Slop Detector' agent. Each test case should include a scientific-sounding abstract, some of which are genuinely AI-generated (with intentional 'slop'), and others human-written. Run these test cases through your CrewAI system and analyze the 'ai_slop_detection.md' output and the 'final_review_task' output. How accurately does the `AI Slop Detector` identify AI-generated text, and what justifications does it provide? Report your findings.

Adaptation plan

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

Keep stable

Preserve the rubric, target behavior, and pass-fail criteria as the baseline for evaluation.

Tune next

Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.

Verify after

Make sure the prompt catches regressions instead of just mirroring the happy-path examples.