Gave Jev by TypeSafe a spin in TurboCode.

@AmirKodro Amir Kodro · Sep 20, 2026 · case #968520 · listed via Jev Hub

Still from the clip posted with this case; watch it in the original post on X.

Integrated Jev into TurboCode as a fast classifier that takes text state and returns booleans, numbers, or strings from a set.

The original post

Gave Jev by TypeSafe a spin in TurboCode. Jev has gotten a lot of attention recently for being a fast classifier, or what TypeSafe calls a 'System One Model', taking state in the form of text and returning booleans, numbers, strings from a collection, etc. Short demo below.

Engagement when collected

Likes0

Bookmarks0

Reposts0

Replies0

Quotes0

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 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 classification & data extraction page.

🗂️ Classification & data extraction