batch-format-fit

Batch format suitability analysis evaluates multiple titles across Film, TV Series, Animation, Microdrama, and Audio Drama using GPT-4o. You apply batch controls for missing analyses, limits, and recent titles to orchestrate the process and return per-title scores with a distribution report.

Format fit scoring analyzes titles using seven scoring dimensions per format. It uses GPT-4o to assess suitability across five formats and stores the structured per-title results in a title_format_fit table for catalog reporting.

Cost estimation guides orchestration before running batch AI analysis. The skill includes cost-aware batch controls that allow you to set limits, target recent titles, and process missing analyses to manage expenses during large-scale evaluation.

Batch format analysis discovers titles best suited for microdrama by scoring each title across five formats. It automatically generates distribution insights and identifies the best-fit format for each title in the catalog report.

You can generate a catalog report by running batch evaluation across your titles. The skill stores all per-title scores, best-fit formats, and distribution insights directly in a title_format_fit table, enabling large-scale reporting without manual UI interaction.

GPT-4o format fit analysis requires batch controls to manage API limits and costs. You must apply constraints like missing analysis filters and recent title limits to prevent excessive processing during overnight batch runs or large catalog evaluations.