An agent runs overnight, collects the author's AI newsletter subscriptions and produces a daily podcast to listen to on walks.
An agent runs overnight, collects the author's AI newsletter subscriptions and produces a daily podcast to listen to on walks.
In Claude Cowork on a Mac Mini, connected to Gmail, the author had the agent build a 5 AM scheduled task. It pulls newsletters under one label, skips about 18 low-value ones, reads the rest, and writes a synthesis. A local Qwen3-TTS model turns that into an MP3, which is pushed to GitHub Pages with an RSS feed. The author chose audio and the voice.
It took about two hours in one session, and the first episode (8-10 minutes) was waiting in Apple Podcasts the next morning. Voice setup was the messy part: the macOS voice was unusable and edge-tts was unreliable.
Local Qwen3-TTS took about 30 minutes to install, with dependency conflicts and a stalled download, and peaked at 6.5GB memory on a 16GB Mac; the author used the Claude Max plan ($100/month).
Every night at [time], collect the newsletters in my [Gmail label or folder, e.g. AI Newsletters] from the past 24 hours and pull out the key stories. Turn them into a [10-minute] podcast script with a conversational tone, then produce the audio and save it to [folder or podcast app] so it is ready for my morning walk. You are done when the episode file exists and you have sent me a short list of the stories covered.
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