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Evaluate with Momentic and BoTorch

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

Linked challenge: GenAI Unit Launch Strategy with Google ADK Agents and Claude 4 Opus

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Linked challenge
GenAI Unit Launch Strategy with Google ADK Agents and Claude 4 Opus

Prompt source

Original prompt text with formatting preserved for inspection.

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Outline how you would use Momentic to trace agent interactions and evaluate the quality of their generated outputs. Describe how BoTorch could be integrated (conceptually, or via a simple simulation) to optimize the agent's iterative design process, perhaps by tuning parameters for feature generation or marketing copy based on simulated success metrics.

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.