190: How I'd Build an AI Product and Quit My Job If I Started Today

Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Building an AI product used to mean months of development, a co-founder who could actually code, and probably a few rounds of VC money you'd eventually regret taking. That's not the deal anymore. In this video, I walk you through how to build your first AI product from scratch, including why people will absolutely pay for something they could technically do themselves in ChatGPT, how to find the one process in your industry worth turning into software, and the exact technical stack I use: Vercel for hosting, Supabase for your database, and Codex to do most of the actual building. The goal here isn't a billion-dollar startup. It's something smaller, more useful, and genuinely achievable this week. I cover the full customer journey, the logic layer (where all the real value lives), and how to think about stripping down an existing SaaS into something specific enough to actually sell. I'm also giving away the prompt I use to get Codex to scaffold the whole thing, available in the newsletter at [aiwithkyle.com](http://aiwithkyle.com/). —— Time Stamps —— 0:00 Build Your First AI Product This Afternoon 1:11 Why People Pay for AI Tools They Could Build Themselves 4:20 How to Find a Process Worth Productizing 5:35 Real Example: Productizing My Content System 7:24 Steal Ideas From SaaS Companies (Rocket Money & Vexly) 10:52 Start Small: Don't Try to Out-Build DocuSign 12:05 One Painful Input, One Useful Output (Product Examples) 14:02 Customer Journey vs Builder Journey 15:53 Under the Hood: Vercel, Supabase & The Logic Layer 20:36 The Codex Prompt That Builds Your Product For You 22:31 Be the High-Agency Person Who Actually Ships — Useful Resources —— Find everything else at https://aiwithkyle.com/