What AI Observability Needs to Capture

You tell an AI coding agent to update a script. The agent reports success. You check your files and find that the agent changed the wrong file. What happened? If you only observe the prompt and output text, the run still looks successful. You can only evaluate the agent’s performance by seeing the before and after file state and the UI context that guided the agent.This article explains what to observe and why it matters. AI observability must connect user context, agent actions, and product state changes.I wrote this article for product managers shipping AI features.You need 4 minutes to read this.Subscribe nowA magnifying glass visualizing the user journey in multiple waysI first published this on www.harshal-patil.com on Apr 12, 2026.Related:Day One User Expectations From AI Copilots in 2026AI Product Management Is SaaS PM Plus Three Extra JobsHow I Built Tooling to debug AI agents in productionWhat Observability Means in SaaSThe goal of observability, telemetry, and user research…