@omarsar0: Good to see this going GA. Long-running agents can handle a complicated task and still miss a step you'd assume was eas…

X AI KOLs Following Products

Summary

JudgmentLabs opened general access for its platform targeting long-running agent systems, aiming to mine rich agent trace data for improving how agents are deployed on future tasks.

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.
Original Article
View Cached Full Text

Cached at: 10/28/26, 09:33 AM

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,

Similar Articles

@omarsar0: https://x.com/omarsar0/status/2107472222398886011

X AI KOLs Timeline

Omar Santos presents a guide on using Jev, TypeSafe AI's decision model, as an LLM judge for agent evaluations, showing how reading full trajectories (tool calls, results, errors) rather than just final replies increases reliability and consistency for production-grade evaluation and monitoring systems.