# Elvis Saravia 用 Jev 为智能体框架 /goal 功能构建自定义验证器

- 来源：elvis (@omarsar0)
- 发布时间：2026-09-20 06:48
- AIHOT 分数：37
- AIHOT 链接：https://aihot.news/items/cmu905sdn0359rojrkmu8x5iy
- 原文链接：https://x.com/omarsar0/status/2101443311454036477

## AI 摘要

Elvis Saravia 用 Jev 为智能体框架的 /goal 功能构建自定义验证器，每轮对话后检查目标是否真正完成，使持续验证成本低到可规模化。此前这类验证由另一个昂贵的推理模型承担，现在可更频繁运行以让智能体保持正轨。

## 正文

One of the craziest use cases I’ve found for Jev: verifiers.

I am so excited about this that I at least wanted to share the high-level idea.

I used Jev to build a custom verifier for the /goal feature in my agent harness.

It checks whether the goal is actually complete after every turn, making continuous verification cheap enough to scale.

This means I can run more of these verifiers (previously handled by another expensive reasoning model) more frequently to keep the agents on track.

System One models are perfect for verification.

I think of this as scaling harnesses further by cleverly combining System One and System Two models.

I have a feeling this will enable a new wave of scalable test-time compute methods. Watch this space closely.

I've just started to experiment with this and am already seeing really good results. I need to explore and figure out a way to benchmark it. I will share more once I have more results.

This is an insane unlock for long-horizon agents.

You heard it here first. And you can expect to see more harnesses embracing this new pattern.

Full guide dropping in the next couple of days.