podcast-producer

Automated podcast production for drug repurposing is orchestrated through a structured five-agent pipeline that handles research, scripting, editorial review, and audio generation. You provide a specific drug-disease pair, and the workflow generates a publish-ready episode.

End-to-end episode generation follows a five-agent sequence: Archivist researches background, Showrunner structures content, Podcast-writer scripts, Editor reviews, and Speaker renders audio. Each stage produces structured deliverables like dossiers and transcripts.

Yes, the pipeline features robust error recovery with partial-work commits. If production fails during scripting or audio rendering, the system resumes automatically from the last successful git commit without losing prior research or editorial progress.

Yes, explicit episode scope is required to initiate the production pipeline. You must specify the drug-disease pair and parameters so the Archivist agent can generate an accurate background dossier before structuring and scripting begin.

Beyond final audio, the pipeline produces a background dossier, shownotes, a full transcript, and editorial notes. All deliverables are committed to git automatically at each stage for version control and traceability.

Multi-agent podcast production automates research through audio rendering in a repeatable pipeline, unlike manual creation. It enforces structured deliverables and automatic git commits at every stage, ensuring consistency and resumable progress for drug repurposing episodes.