I was going to do a writeup of all the Jev stuff but
Found Jev decision models useful and TypeSafe's zero-shot classifiers smarter than open-source alternatives, with some RL gap to explore.
The original post
I was going to do a writeup of all the Jev stuff but someone already did and explained the thing I made yday :’) https:// sgnt.ai/p/jev/ tl;dr the decision models are really useful, typesafe seems to indeed have smarter zero-shot classifiers than OSS, some RL gap to explore
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 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.
Related Jev cases
Inspired by @typesafeai , here is a Jev-compatible public
Dev tools
The gains aren’t free: Jev can't generate text Comparing
Dev toolsClassification
Jev was adopted faster than any other model in AI Gateway
Classification
[Breaking News] ChatGPT Co-Inventor Unveils New AI Model
Classification
Keep browsing: all 1173 Jev cases · more from @ekzhang1 · builders · what Jev is
Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post