Most AI projects start with code. I started with documentation. Before implementing O-AI, I spent weeks writing a complete engineering handbook covering architecture, memory systems, multi-agent design, security, testing, deployment, debugging, governance, and long-term maintainability. Why? Because AI projects grow fast—and without clear engineering principles they become impossible to maintain. Writing code is easy. Designing a system that can still evolve years later is much...