Got early access to Typesafe AI’s JEV model, so I’m testing

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Tested Jev as the decision brain for a robot arm sim, citing state-to-action latency as the key factor.

The original post

Got early access to Typesafe AI’s JEV model, so I’m testing it as the brain for a robot arm sim. The interesting part is obv the latency: state → JEV → action → repeat Next step: add memory so it can remember previous actions, failures, goals, and state.

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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 coding & developer tools. 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 coding & developer tools page.

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