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An AI agent can return successful API responses and still misunderstand a request or take the wrong action. VentureBeat’s sponsored feature describes Lemma, a startup building a tool to analyse production traces for issues such as loops, broken tool calls and misread requests, then send evidence to engineers in Slack.

Why it matters

Lemma says its software analyses more than one million agent traces a day. That is a company claim, not an independently measured performance result, but it points to a real monitoring blind spot: a green dashboard can confirm the software ran without confirming the agent did the right thing.

Discuss: Should agent monitoring judge success by whether a task was done correctly, not merely whether it ran?

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