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> E.g. "Generate a NotebookLM-style podcast from my saved articles every morning"

How does it do that? Does it require a tool for that? Or a special model?

In the demo - for the voice and music, it uses the ElevenLabs MCP server for TTS, and ffmpeg locally to stitch the audio together. In the demo we pull content from Tweets via an MCP tool, but you can swap that step for anything — for example, fetching your saved articles with curl. There’s no special model required; any LLM that can call tools will work.

We’ve included the exact agents used in the demo here for reference: https://github.com/rowboatlabs/rowboat/blob/cli/apps/cli/exa....

We’re adding an easier way to run examples soon. In the meantime, if you’d like to try this one locally: (1) Copy the agent file into ~/.rowboat/agents/ (2) Add the MCP server (and your keys) to ~/.rowboat/config/mcp.json (3) Run: 'rowboatx --agent=tweet-podcast --input=go'

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