Hermes turns reading into a private podcast feed
The creator of cast0 reports using Hermes to turn briefs and submitted articles into hosted audio episodes, added to an RSS feed they listen to in Apple Podcasts.
reddit.com
Suggested prompt
Suggested prompt written by Agents In Use, not the source author. Replace bracketed inputs and review tool permissions first.
Turn [authorised article or research brief] into a private audio episode with its source reference. Use [my speech and hosting integration], append it to [private RSS feed], and show me factual uncertainties before distribution.
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See placements →What happened
The creator of cast0 reports using Hermes to turn briefs and submitted articles into hosted audio episodes, added to an RSS feed they listen to in Apple Podcasts.
Reported by u/fermatf on RedditHow the agent did it
- Ask Hermes for a briefing or supply an article to process.
- Convert the prepared output to speech through the skill and MCP integration.
- Host the MP3 and append an episode to the RSS feed.
Where a person stepped in
The user supplies reading material and chooses the private feed. No per-episode approval gate or independent content-quality evaluation is documented.
A Reddit user who also develops cast0 describes an actual personal workflow: Hermes briefings and summaries previously accumulated unread in Telegram, so the user routed the output into a podcast feed. The sequence generates speech, hosts an MP3 and appends an episode to an RSS XML file, which Apple Podcasts can subscribe to.
The author particularly uses this for submitted Substack articles that would otherwise remain in a reading backlog. They report receiving an audio episode within a few minutes and listening while driving or cooking. They packaged the flow as a Hermes skill and MCP server, with a user-supplied OpenAI key. In the comments they identify OpenAI as the current text-to-speech provider.
The author's own feed remains private by keeping the RSS link unshared. They explicitly say they have not tried publishing it as a public podcast, so that should not be presented as a demonstrated result. The account is both firsthand use and promotion of the author's integration, with no quantified backlog reduction or accuracy evaluation. The useful distinction is delivery format: the agent's existing research output becomes a recurring audio artifact in an app the person already uses. Audio does not establish research quality, and the post does not document an editorial approval stage before episodes enter the private feed.
Prompt
Suggested prompt (written by Agents In Use, not the author's)
Source: Reddit · u/fermatf on Reddit
Frequently asked questions
Which speech provider is actually reported?
The author says in the comments that they currently use OpenAI text-to-speech, with a user-supplied OpenAI key.
Was public podcast publishing tested?
No. The author describes a private feed and explicitly says they have not tried publishing it publicly.
Does audio prove the research is accurate?
No. This changes how output is consumed; the account supplies no independent research-quality or transcription evaluation.
More details
Remaining steps
- Subscribe to the feed in Apple Podcasts.
- Keep the feed link private if it contains personal material.
About this account
Hermes prepares reading output and calls the integrated speech, hosting and RSS workflow so new episodes appear in a subscribed podcast app.
Firsthand account by u/fermatf on Reddit; original publication date verified against Reddit created_utc 1779975349 = 2026-05-28T13:35:49Z. Outcomes are the author’s reports, not independently reproduced. Suggested prompt written by Agents In Use; not the author’s original prompt.
Credit: u/fermatf on Reddit
Source published 28 May 2026
Source checked 14 Oct 2026
Tools and topics
Hermes Agent · cast0 MCP · OpenAI TTS · RSS · Apple Podcasts
Private audio feed · Reading backlog · Research delivery
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.