AI As Co-Producer: Experiments From Pitch To Publish

We all feel the urgency: learn to use AI, or risk falling behind. At indie production house WaitWhat (the business and tech podcast company behind Masters of Scale, Rapid Response, and Pioneers of AI) we paused all operations for a three-day AI sprint, and started experimenting with several AI “co-producers." This case study walks you through our favorite projects so far – how we made them, how we use them, and how you can iterate on them. Hear how we decide where to deploy AI, and see the tools we're using every day to save time and unlock more from our work. Less Clicking Around: From partner data reporting to recording gear logistics, more on how we delegate tedious tasks to AI (and you can, too). More, Together: We use AI to bridge gaps in our tech stack (all the software we use). See examples in video editing and web publishing that save us real time and money. The Vault: With our entire content back catalog and all our production workflows entered into a custom AI, what can we do? We've had fun finding out.