Day 1 to Production: Observability for AI-Powered Applications

How to instrument your AI application on day 1 and scale it as your product grows and why you can’t afford to skip it. When you’re starting an LLM powered project, observability is the last thing on your mind. You’re excited. The thing works. Adding instrumentation feels like busywork and why slow down to log things when everything is clearly fine? I’ve been there. And then one day you hit an unexpected or wrong response, dig into your logs, and find nothing useful. The request succeeded with HTTP 200, latency fine, no errors.