A new prompt regression suite has been developed to address issues in multi-stage AI video pipelines where non-deterministic outputs can lead to subtle, semantic failures. This suite employs a layered architecture with a Fixture Store for versioned templates and baseline snapshots, a Runner for executing pipeline stages with controlled inputs, and an Evaluator that performs schema checks, rule checks, and uses an LLM-as-judge for scoring. The system aims to catch regressions in stages like script generation, scene decomposition, and image prompting before they impact the final video output. AI
IMPACT Provides a framework for ensuring consistency and detecting subtle errors in generative AI video pipelines.
RANK_REASON The item describes the development of a specific tooling solution for AI pipelines, not a core AI model release or research.
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