Summary
Peter Yang breaks down the three-step system he uses to automate roughly 90% of his podcast production workflow with ChatGPT, claiming it saves him at least five hours every week. The framework starts with mapping every manual step of a process, in this case the 15 tasks involved in producing his weekly podcast, from guest research to writing social posts and clips.
Yang then shows how he converted those steps into a set of custom ChatGPT “skills,” including podcast prep for interview guide creation, podcast edit for generating instructions to send to his video editor, and podcast production, which chains together smaller skills to draft titles, thumbnails, newsletter posts, and short-form clips. Using a real episode about personal finance with an OpenAI product lead as the example, he demonstrates how ChatGPT researches a guest, drafts an interview outline, and later pulls quotable moments directly from the transcript for a Linear ticket used by his editing team.
Throughout, Yang emphasizes that the system isn’t fully hands-off: he reviews and gives feedback at each stage to keep his own editorial judgment in the loop. The video is sponsored by Riverside, the podcast recording tool Yang uses, but the core content is a reusable template for turning any repetitive content workflow into a chain of AI-assisted skills.
📺 Source: Peter Yang · Published September 16, 2026
🏷️ Format: Workflow Case Study
