Question 1

What does good AI agent observability look like?

Accepted Answer

It should show the run timeline, tool activity, approvals, and outcomes in one place. Good observability helps operators understand not just what the agent said, but what it actually did.

Question 2

Why is observability especially important for production agents?

Accepted Answer

Because production agents can take actions. When something goes wrong, teams need to know exactly which run, which tool call, and which approval event led to the outcome.

Question 3

Should observability live inside the product or in external tools?

Accepted Answer

Both matter. The product should provide the run-native operational view, while exports and APIs let teams send the same data into their broader logging or security stack.