i used jev from typesafeai to build a model router cli you
Built a CLI that uses Jev as a fast judge to route each task to the right agent or model based on current subscriptions.
The original post
i used jev from typesafeai to build a model router cli
you give in a task and current ai subscriptions you have, the jev tells you which agent/model should pick it up
pair this with herdr and it will be a killer combo
jev was the missing bit that makes this whole thing possible by being a super fast judge
Quoted post
@CompleteSkeptic34.5M viewssourceAfter 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
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under agents & workflows. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the agents & workflows page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post