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.