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0 Stars: Multi-Agent Podcast Pipeline
See how a multi-agent system on AWS automatically produces a weekly comedy podcast, from project discovery to publishing, with an evaluator-optimizer loop for continuous improvement.
A closed-loop multi-agent system on AWS that produces a comedy podcast every week without human involvement. Seven agents orchestrated by Step Functions discover underrated GitHub projects, research the developers, write a three-persona comedy script, evaluate it against a quality rubric (with automatic rewrites on failure), generate cover art, produce audio, and publish the episode. Three AI personas debate each project: an overly optimistic hype beast, a dry British cynic, and an existential philosopher. The pipeline learns from its own LinkedIn engagement metrics to bias future episode selection toward what actually performs well. I’ll play the first episode and walk through the agent coordination that produced it.
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