@omarsar0: 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…

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The author shares a novel use case for Jev in building custom verifiers for AI agent harnesses, enabling scalable test-time compute by combining System One and System Two models.

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.
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Cached at: 09/20/26, 01:06 AM

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.

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@omarsar0: https://x.com/omarsar0/status/2101774405521301681

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Jev is a generalist System One AI model designed for making focused, structured judgments with probabilistic outputs. This article provides a beginner's guide and introduces an interactive playground for experimentation.