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Evaluate Agent-Generated Content Plan

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Linked challenge: Multi-Agent AI for Dynamic Short-Form Video Generation

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Linked challenge
Multi-Agent AI for Dynamic Short-Form Video Generation

Prompt source

Original prompt text with formatting preserved for inspection.

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Execute the `ShortVideoPlanGeneration` evaluation task with your AutoGen system. Analyze the generated video production plan against the specified prompt and constraints. Consider the output quality, creativity, and the effectiveness of agent collaboration. Describe potential failure modes and how you would refine the agent prompts, roles, or communication protocols to improve performance for future content generation. Include how you might use DeepSpeed for optimizing specific content generation models an agent relies on.

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.