AIPOCH Open-Science now supports #Jev by TypeSafe AI.

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Integrated Jev into AIPOCH Open-Science to classify and route decisions without expensive LLM calls.

The original post

AIPOCH Open-Science now supports #Jev by TypeSafe AI. Make better decisions, faster, for less. Jev brings fast, typed decision-making into scientific workflows — helping you evaluate, classify, route, and make decisions without burning through expensive LLM calls. Here’s how to

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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, classification & data extraction. 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.

Related Jev cases

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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post