AI Prototyping at Zero Cost: How Ian Cook Ships What Others Can't

95% of enterprise AI projects fail, but not for the reasons you think. Ian Cook has spent 16 years shipping AI products across healthcare, physical security, consumer goods, and now cultural data, and the pattern behind the failures is always the same: companies start from the top down with vague mandates instead of solving a specific person's specific problem. In this episode, Ian breaks down his framework for AI implementations that actually stick. Start bottom-up, ask a tangible question, and know what "done" looks like before you write a line of code. We get into why the cost of throwing away code is now zero and what that means for how fast you can experiment, how tools like Claude Code have changed what a solo engineer can ship in an afternoon, and which industries are about to get hit hardest by this wave. Ian doesn't sell magic. He builds prototypes that put working software in people's hands, and his track record speaks for itself.

0:00 Intro & Meet Ian Cook
1:28 From PhD to AI Prototyping
3:21 The Fishing App That Actually Worked
4:13 Inside Qloo's Knowledge Graph
6:34 Gen AI: Junior Analyst or Coworker?
9:06 Claude Code & the Ralph Wiggum Process
14:52 Shipping Code From Your Phone
17:18 Why Ian Started Fierce Highways
21:11 Why Most AI Projects Fail
29:15 The Cost of Throwing Away Code Is Zero
31:37 What Industries Will AI Transform Next?
37:35 AI Won't Replace You, But It Will Change Your Job
41:01 What's Next & Where to Find Ian

Видео AI Prototyping at Zero Cost: How Ian Cook Ships What Others Can't канала AI Rebels Podcast