Lesson
AI systems need product telemetry and model telemetry. A feature can be technically online and still fail users through slow, expensive, or low-quality outputs.
Teams should monitor cost per task, latency, fallback rates, evaluation scores, and user feedback from day one.
Objectives
Choose core AI metrics.
Connect metrics to product risk.
Create a launch monitoring checklist.
Practice
Create a dashboard outline for an AI feature.
Define alerts for cost, latency, and failed tool calls.
Next action
Write a launch-readiness checklist for a small LLM app.