Jev, that's way too insane, right...

Classified 300 NHTSA vehicle complaints into 6 categories with Jev across 8 parallel workers.
The original post
Jev, that's way too insane, right... I pulled 300 cases from the 73,999 vehicle complaint reports publicly released by the US NHTSA and made a 3D demo that automatically classifies them into 6 categories using TypeSafe's Jev. Actual results 👇 300 cases / 8 parallel → about
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 coding & developer tools, classification & data extraction, video, animation & media. 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