@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…
Summary
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.
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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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