Stepping away while LLMs churn is the new “sorry, code’s compiling”.
Jev makes instant feedback just a workflow away!
When I first saw JEV, as a former TikTok MLE, I knew modern recommendation and search systems could be revolutionized if it keeps evolving.
JEV brings general-purpose semantic reasoning into a discriminative inference paradigm: arbitrary context in, calibrated structured decisions out.
That matters because recommendation and search are exactly the kinds of decision systems that need to be both smart and fast.
Times are changing.
Here’s one example: with JEV + Perfectly, we use a complex query to understand AI researchers through their papers across a pool of 500 ECCV 2026 researchers, while achieving the same performance as one of Claude’s models.