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Published
22/100

Elvis Saravia says long-running agent traces should guide future task assignments

AIElvis Saravia says Judgment Labs' general access launch is welcome, and he wants patterns from real usage of long-running agents to show which jobs to assign them next. He notes that agents can complete a complicated task yet miss a step that seems easy.
elvisVerified on X
@omarsar0
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Good to see this going GA.

Long-running agents can handle a complicated task and still miss a step you'd assume was easy. I'd like to see what those patterns across real usage tell us about which jobs to hand them next.

Alex Shan@alexshander03
Today, @JudgmentLabs opens for general access. We believe long running agent systems will generate more exhaust data than the world can currently process. Hidden within agent traces are rich records of how to make these systems better: what users ask for, when agents stumble, and how agents interact with the external world. Judgment is the most performant monitoring and improvement layer for long-horizon agents. We’re excited to see what you build!
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elvis · x.comPublished · added here

Original title: Good to see this going GA.