I spent years inside institutions — learning, researching, building. Somewhere along the way, I noticed that the most interesting work wasn't happening inside them. It was being built by people with ideas, the right tools, and the willingness to ship before it was perfect. 💡
I started using AI not to automate what I already knew, but to build things I couldn't build before — tools, demos, full products that used to require a team. Side projects that became real businesses. When I started sharing what I was building, people didn't ask for inspiration. They asked: how do you actually do that? 🛠
So I built a framework and launched it at Stanford. I teach it there and through Angela Builds — to adult founders and to high school founders, rebuilding the curriculum as the models change. 🎓
What I really teach is the difference between knowing about AI and being fluent in it. AI literacy is knowing about AI; AI fluency is using it with agency and judgment — knowing what to delegate and what to keep, how to brief a model so it works on your problem, and how to judge what comes back before the world does. The tools will keep changing. The judgment compounds. 🧭