Hermes reconciles workout playlists and local music

A Hermes user describes progressively expanding a personal music-management workflow. First, the assistant created Spotify playlists sized for two workouts: approximately ten minutes for rowing and 25 minutes for treadmill sessions. It then refreshed the selections each morning with new upbeat music.

The user also maintains a local MP3 collection in Navidrome. After granting access, they asked Hermes to reproduce the Spotify playlists there and compare the catalogues. Missing items were recorded in an Obsidian note, turning an informal collection gap into a list the owner could work through. Later stages added a search-and-queue process, but required several rounds of correcting mismatches and specifying file-quality criteria.

Before the owner sees new files, Hermes runs an additional Python check using ffprobe and SoX to assess encoding and possible recompression. The owner still controls tagging, matching and importing albums. The author reports considerable work saved without giving a measured time reduction, and explicitly says the quality scripts are largely AI generated. This is a useful pattern for maintaining a legitimately acquired local collection: compare catalogues, make discrepancies visible and automate inspection, while retaining final metadata and import decisions instead of assuming every apparent match is correct.

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Source: Reddit · u/slowmotionrunner on Reddit