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

> Original title: Good to see this going GA.

- Source: Elvis Saravia
- Published: 2026-10-27T17:38:38.000Z
- Bad Influence: https://badinfluence.news/items/s3fpzsxvwjp40c4qst4zh36ek
- Original: https://x.com/omarsar0/status/2115136102390444538

## Summary

Elvis 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. Judgment Labs says agent traces hold records of user requests, agent failures, and interactions with external tools.

## Post

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.

## Quoted post @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!

https://x.com/alexshander03/status/2115111288066171211