Hermes makes a weekly podcast highlights mix

A Reddit user describes a Hermes Agent workflow for a podcast backlog that had exceeded the time available to listen. The agent pulls new episodes each week and sends their audio through Voxtral transcription. Mistral Large 3 scores and ranks segments against the user's preferences, while Mistral Small supplies the stitching logic.

The result is a reported one-to-two-hour mix delivered every Sunday through Telegram. The title compares that with more than ten hours of normal listening, but no before-and-after log or independent assessment accompanies the claim. Hermes memory retains what the user finds interesting, so selection can use accumulated preferences rather than treating each episode as an unrelated summarisation request.

The author says Voxtral handled different accents and overlapping speakers better than the previous transcription setup. This remains a personal observation, not a benchmark of transcription accuracy. The post does not identify the final audio-cutting tool, a full cost breakdown or an approval step for every segment. The concrete copyable design separates acquisition, transcription, relevance scoring and assembly, with a weekly delivery deadline. Reviewing excerpts still matters: a highly ranked fragment can lose context, and the source does not establish that every selected passage accurately represents the speaker's wider argument.

Prompt
Suggested prompt (written by Agents In Use, not the author's)

Source: Reddit · u/SelectionCalm70 on Reddit