What people are shipping with Jev.

@imcharliegraham @typesafeai Nice, I had a limilar idea of Jev playing poker, in a tournament with GPT. Jev is very conservative in my attempt :) it needs better prompting https://

This weekend on Ticketdesk AI Working on implementing a spam checker using Jev AI to mark tickets as spam 🤖

Jev from @typesafeai can replace your LLM-as-a-judge for scoring agent responses. It returns a choice or numeric result with information about uncertainty, so you don't need to sp

My 11 year old earned a Bambu Lab X2D. It landed a week before GPT-6 Astra. Astra gave us CAD for whatever he wants to build. Then @typesafeai shipped Jev, so the robot can decide

fast-jev-compaction: https://t.co/y73It71ndT More tools and ready-to-use AI stacks: @iamrexei

@typesafeai Jev is a System One Model built for fast, structured decisions. Jev did not diagnose incidents itself. We implemented a Jev tool Codex could call to rank diagnostic tes

@0fir0z @typesafeai Used custom OpenCV code and pasted results as a state to Jev. Will clean up the code and share it in same thread this weekend

@typesafeai jev is learning how to gamble https://t.co/hmfvb3kvGH

Interesting idea from @TypeSafeAI: Jev, a “System One Model” built for decisions, not text. Instead of generating JSON and parsing it, Jev returns typed decisions + probabilities.

@altryne @typesafeai PS: if you want JEV with images, gotten it working with qwen and gemma as well - with public endpoints https://t.co/CoSCLiSPGP

Using Jev from @typesafeai in this side quest to help with intelligence and deciding when to escalate to the user. Very cool stuff. Jev with an inexpensive paid model via @vercel's

Jev from @typesafeai is now available as an evaluation model in Braintrust. If you have an existing scorer, just change the model in the dropdown to Jev and reduce your scoring co

It's super fun to play with @typesafeai 's #Jev with the #SREGym team. It's crazily fast and unlocks a lot of new capabilities for SRE use cases. A simple integration already leads

There's so much clutter on so much websites. 2-3 distraction can be enough overload the working memory and then you forget why you went to the site to begin with. This free exten

Found the perfect use case for @typesafeai Jev: instant compaction in 2026. Why is compaction still a summarization prompt? Jev scores every tool call and drops what’s irrelevant—m

@sawyerhood @typesafeai Taking a stab at it now. IMO auto is great, but given how fast this is, I think continuously giving feedback will give more confidence to the user. I'm go

@mandel59 match はパターンマッチで、noul, choice, score は jev 側のモデル抽象です。 一応アップロードしてますが、真面目に作ってないです https://t.co/MnfGTu5Zpi

@braintrust @typesafeai productizing jev as a trace scorer is the natural seat. high-conf disagreement with human soft-fail is the miss card - shadow dual-scorer on last n evals

@thisiskp_ A PG CHECK constraint in plain english managed by Jev ;) https://t.co/UJ1eRWtaGm https://t.co/OoN1i1NPX6

So whats next? Got many ideas, but first we have to make this version stable and fully working. Currently 1m candles is the max I can get but i kind of want to scan on the 1s,5s