A Conda-based checklist for validating short AI video clips before publishing

Short AI-generated clips often look fine on first playback but fail quietly later—wrong frame rate for a platform, mismatched resolution across a batch, or missing continuity notes that make editing painful. A small, repeatable Conda environment can catch most of these issues before a clip reaches a timeline or an ad queue. Set up a dedicated environment conda create -n clipcheck python=3.11 opencv ffmpeg pandas exifread -c conda-forge conda activate clipcheck Keeping this isolated from other data science environments avoids version conflicts with existing OpenCV or ffmpeg builds.