Case Study in 30 Minutes
Raw interview to publishable proof. A real story, not a template.
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Reads a podcast transcript for the moments worth distributing — not by time, but by insight — then produces platform-native assets for LinkedIn, email, short-form, and newsletter.
↳ Excerpts by insight, not by timestamp · Flags moments that require a visual or clip to land
Most podcast repurposing fails because it excerpts by time instead of by insight. "Clip minutes 12–15" assumes the insight is evenly distributed through the conversation. It isn't. A one-hour podcast might have 4 minutes of content that would stop someone scrolling, and 56 minutes of buildup, banter, and topic transitions that made the conversation feel natural but won't survive outside it. The job of repurposing is to find those 4 minutes — not by listening for the climax, but by reading for the moment where something true was said that most people haven't heard put that way before. Paste this prompt into Claude or ChatGPT. Share the full transcript. The AI mines 5–7 moments worth distributing, explains why each works, and produces platform-native assets for the channels you choose — LinkedIn posts, newsletter sections, short-form hooks, or Twitter threads.
Claude (web or desktop)
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Claude Code
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ChatGPT or Gemini
The same skill text works as a custom instruction or Gem. Paste it at the start of a chat, no changes needed.
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