How do you handle the 'verification gap' when an agent completes a long-running task?

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Summary

Discusses the difficulty of verifying outputs from autonomous agents after long-running tasks and asks about using critic agents or traceability tools to ensure trustworthiness.

I've been following some recent developments in multi-agent workflows, and one thing that keeps coming up is the difficulty of verifying the output of an autonomous agent once it's been running for a while. \n\nWhen an agent is doing something like browsing, executing code, and then summarizing, how do you actually trust the final result without manually re-doing the work? Are you using secondary 'critic' agents, or do you rely on specific structured logs/traceability tools to ensure the agent didn't just hallucinate a successful outcome?
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