I’m building a second brain, but not one designed to remember everything about me. Instead, I separate AI memory, project context, and a curated Learning Library so the knowledge I choose to preserve stays useful — and portable — long after any individual model changes.

AI is often positioned as a way to execute faster. But when the problem is poorly defined, speed only produces misalignment more efficiently. This article explores how I use ChatGPT to challenge assumptions, diagnose the real issue, and clarify the work before execution begins.