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Simulate and Test Adaptive Reasoning Budgeting
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: AI-Powered Exam Proctoring: MCP-Enabled Cheat Detection with Gemini 2.5 Pro and DSPy
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Linked challenge
AI-Powered Exam Proctoring: MCP-Enabled Cheat Detection with Gemini 2.5 Pro and DSPy
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
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Simulate a scenario where a student's initial responses are mildly suspicious. Design a mechanism to trigger Gemini 2.5 Pro's 'Deep Think' mode with an increased adaptive reasoning budget based on this initial flagging. Provide examples of how the budget adjustment improves the depth and accuracy of the subsequent analysis for a specific (simulated) cheating attempt.
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.