Short, practical essays on the role that barely existed two years ago, the method that gets AI live, and the stack that runs it. Written for operators, not spectators.
Demand for the role grew fast and the talent pool is nearly empty. What an FDE actually does, why companies are paying a premium, and why the usual paths don't produce one.
Read the essay →The demo worked and the project still died. The four things that actually kill AI projects, and why none of them are about the model.
Read the essay →Most projects are scoped to fail before anyone writes code. How to discover the real problem and cut the first version down to something you can ship in weeks.
Read the essay →Three tools, each doing one job well, connected in a loop you understand. The practical stack for turning an AI idea into a running system.
Read the essay →"It seems to work" is not evidence. How to test on real inputs, set the bar in advance, and build the safety net that earns trust.
Read the essay →Launch is not the finish line. It's the moment the system starts telling you the truth. How to operate a deployment so it survives real users.
Read the essay →The prompts, the stack, and the first steps of the method, sent straight to your inbox. The fastest way to see if this path is for you.