What people are shipping with Jev.

@TheBalkanHacker @typesafeai @dotpem Sick, how did you get into jev?

jev demo night at betaworks next week - let @kayacancode know if you want to demo 🪄 https://t.co/IgiAOzxShi cc @typesafeai https://t.co/oyshSUjO8q

@mormonnegro @typesafeai que crack! construi un catalogo con recursos de Jev y subi tu caso de uso ;)

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.

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

If JEV is going to end the era of hypersensationalism of AI, and the overextending Papyrus Responsens, welcome @typesafeai , we love u. https://t.co/wAW130PnCW

@tamarajtran @typesafeai @tamarajtran added your Jev build to https://t.co/z0izy4XNao

@typesafeai Seems Jev didn't agree with this math too 🤣 https://t.co/M580e4Xlvs

@MicahDail @netestapper @typesafeai A bunch of agents are also slapping together an experiment of a kind of Jev loop where, during a /goal, the agents consult to be able to evaluat

@kyamilass @typesafeai Jev showing up on these lists this fast is wild 👀

Time taken seems to be increasing over time, @typesafeai ' JEV seem to be getting busier 👀 Try https://t.co/V7CgA6iISc https://t.co/IbZapgMPVx

@alexatallah @typesafeai low-entropy routing only pays if the classifier is cheaper than sending the PR review to the frontier model. are you actually splitting those three buckets

JEV is sooooo different and fast @typesafeai

Got access to jev by @typesafeai so wanted to test it out asap. At @parsewise we run topic relevance checks as a filtering step on our data processing pipeline. A task that is pr

I am going to build for companies who have lot of candidates to evaluate based on resume I am using the coolest model JEV by @typesafeai to analyse all of them and find the rig

@o_kwasniewski @typesafeai is Jev classifying pass/fail after the run, or driving the clicks? a classifier I can slot in. a Jev-driven UI loop is a different harness.

@typesafeai Jev is moving fast - browser use, context compaction, RAG, agent harnesses, even a programming language. I went down the rabbit hole on how it works and why these use

@typesafeai @parsewise 2. Jev was a lot more literal when following instructions, meaning I had to tune the task guidance more so than LLMs. E.g. explaining that small indirect c

tldr of Jev by @typesafeai https://t.co/tZsPwnWPBS

@chaturvedikun @typesafeai bfs for shortest path then jev on spatial metrics is a clean handoff. decision models belong on the branch not the path search same split i used for offl