Evaluating and testing AI safely

How do you know whether a model swap or other change is truly an improvement before you go live? A new model comes out, cheaper and faster, and the vendor swears it performs just as well. A new tool gets connected. A prompt gets tuned. Any one of these changes can silently break a production workflow your customers depend on — and the first sign of trouble is often an angry customer, not a dashboard. We'll walk through what a gold benchmark query set actually is — a small, zero-tolerance set of monetization-critical questions, layered with real queries pulled from user history (especially th