AI and the Founder Opportunity (Pt 3 of 4): Finding Your Product-Market Fit

This is part three of my four-part series on how AI is reshaping the workforce, and it's the one I promised would be tactical. If you've listened to parts one and two, you know about the macro shift and the inner-game work, this episode is the playbook.I walk through the exact mistake most founders make: they get excited about an idea, build it, then go looking for customers, only to discover they built the wrong thing. I share the step-by-step process I used about a year ago to launch a brand-new product at Mylance, one that had paying customers before we'd even built it.You'll hear how I wrote out my hypotheses, ran real customer conversations instead of asking leading questions, built a no-code MVP I could ship in a day, and used the Sean Ellis score to know when I'd actually found product-market fit. I also talk about how tools like Claude Code, Lovable, and Base44 have made building fast, but figuring out what to build is still the hard part.Part four, on building trust and a sustainable customer experience, drops in two weeks.Build your founder brand with Mylance: https://mylance.coConnect with Bradley Jacobs: https://www.linkedin.com/in/bradley-r-jacobs/00:00 Intro and what Mylance does00:50 Recap of parts one and two01:30 What this episode delivers02:15 The mistake most founders make03:00 Step 1: write your hypotheses04:15 Bradley's own hypothesis example05:30 Step 2: real customer conversations07:00 Talk to real ideal customers08:00 Step 3: brainstorm the MVP08:45 Build fast with AI/no-code tools10:00 Get customers onto the MVP11:15 The Sean Ellis score and PMF12:30 Why founders skip this step13:15 Recap, Part 4 coming in 2 weeks