Why Most AI Teams Are Flying Blind: And What to Do About It

AI teams often find their agentic LLM applications, which perform well in demos, behave unexpectedly when deployed to real users. This common problem, where models exhibit weird outputs in production, stems from an evaluation gap and makes teams 'fly blind' regarding performance shifts and regressions.