media-use

You can automatically resolve and cache media assets by running a script with parameters for type and intent. This freezes files locally and logs them in a ledger, minimizing redundant searches and streamlining asset acquisition.

The best way to manage project media resolution is utilizing project and global caches. This mechanism stores previously resolved assets locally, drastically reducing search noise and improving performance for subsequent media requests.

Yes, you need Python and Node to run automated media search and caching workflows. The environment requires dependencies like heygen for audio catalog search and ffprobe, ensuring proper asset retrieval and freezing.

To find and freeze local image and icon files, execute a command specifying the asset type and a descriptive intent. The system processes the intent, retrieves the optimal media, and saves it as a frozen local file.

Cache utilization improves performance by retaining resolved background music tracks in project and global caches. This prevents the system from repeatedly querying external sources, reducing manual effort and accelerating integration.