AI

The AI topic looks at where AI earns its place in the revenue stack and where it shouldn’t lead. It covers the discipline behind using AI well: context before agents, guardrails before scale, and a person accountable for every decision that matters. The goal isn’t more tools. It’s knowing which work to hand to a model, which to keep, and how to tell a confident answer from a correct one.