Systems thinking saved my setup from collapse. Running an AI agent that produces faster than you can review, the system around it matters more than the model quality or the prompt engineering. Prioritization framework, forced quiet hours, limits on output volume, clear rules for what gets reviewed first.

The bottleneck step was always human judgment and no model upgrade changes that. Spent months optimizing the wrong layer before realizing the system constraints were the real problem all along. Once you identify the actual bottleneck step, the AI strategy becomes obvious.