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Full Impact Assessment Execution & Optimization

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Agent for Real Time Public Policy Analysis

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Linked challenge
Agent for Real Time Public Policy Analysis

Prompt source

Original prompt text with formatting preserved for inspection.

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Execute your complete DSPy agent with the provided sample input for the 'AI EO Impact Assessment' task. After obtaining the initial output, analyze its performance. Then, using DSPy's `teleprompter` or manual prompt refinement, attempt to optimize the agent's accuracy and adherence to the output schema. Document your optimization steps.

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.