Got early access to @typesafeai Jev and spent a few hours

Built JevScope, which asks Jev whether each agent step is aligned, progressing, repeating, or stuck, and plots the answers over time.

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Got early access to @typesafeai Jev and spent a few hours building on it.

The problem I keep hitting: agent traces tell you which tool ran, how long it took, what it returned but never whether the agent is actually getting anywhere. An agent editing, testing and reverting the same file six times looks perfectly healthy in the logs.

So I made JevScope. It watches an AI agent work and asks Jev what each step actually means is this aligned with the task, is it progress, is it repeating itself, is it stuck. Every step, plotted over time.

Here's a coding agent getting stuck on a race condition. Watch the yellow line.

No log line says "I'm stuck." The curve does.

Detailed demo, code and writeup coming soon.

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@CompleteSkeptic34.6M views

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After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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