"I'm going to tell you my story because I think it's an amazing story of continuous improvement, of how teeny-tiny steps compound over time." Over the past year, my work has transformed completely—and it all started with a broken ankle and a willingness to get curious about AI. In this article, I share how I went from a skeptic to building multiple AI products, even though I had a limited engineering background. Here's what you'll learn: 🔧 How small experiments can snowball into real products (I launched my first AI tool just three weeks after starting to experiment) 🧠 Why AI evals became the missing discovery habit—a feedback loop that helped me continuously improve my products 🎯 How personal productivity experiments taught me the skills I needed to build production AI products 🤝 Why I still believes in talking to customers, but see new opportunities for AI to be additive rather than replaceable 💡 The hero's journey framework I used to make sense of my transformation 🚀 Real examples of the products I built: Interview Coach, Business Fundamentals Coach, AI-generated interview snapshots, and more The core message? You don't have to be an engineer to figure this out. You have access to expert tutors 24/7, and teeny-tiny steps compound over time. Read the article (or watch the talk): ❓ What's one small experiment or skill you've been curious about trying but haven't started yet? Share your thoughts in the comments below.