Developer Notes
Technical notes on AI video editing infrastructure, media processing, render verification, object storage, and production-grade creative tools.
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Media Asset Management for AI Video Editors
Media asset management for an AI video editor is not a file browser with thumbnails. It is the system that keeps source footage, extracted frames, transcripts, generated music, overlays, renders, plan assets, AI edit runs, object storage paths, and repair context connected enough for humans and agents to make reliable editing decisions.
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Project Provenance Graphs for AI Video Editing
A project provenance graph is the product memory that connects source footage, transcripts, frame intelligence, prompts, AI edit runs, tool events, generated assets, timeline mutations, renders, ownership, and repair jobs. For AI video editing, that graph is what turns model output into trustworthy project state.
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