What people are shipping with Jev.

Using Jev to codify "flavor based" linters so code contributions reflect the style of the invoker

https://github.com/shauryajain07/ghost-user

@typesafeai One huge limitation is that I didn't add an actual LLM-monitor control. The goal was to evaluate and benchmark the capabilities of Jev. Full-write is at LessWrong: ht

Played around with @typesafeai Jev today, mostly to understand what it does for tool calling. Instead of an LLM deciding what to do, I substituted that part with Jev. My learni

TypeSafe raised $40M for Jev: typed decisions in one forward pass, calibrated. Closed weights, waitlist. I'm building the open version on one RTX 3090: Qwen3.8-27B, Apache-2.0, ev

@typesafeai https://t.co/dOsKPoWzJ3 Point it at an MCP server and it automatically probes the tool signatures, then runs a series of typed Jev calls to pick the right function and

Ok let's go 😃 Using Jev to find reviews of our apps from the last year to create a review database I will share the results when it finishes https://t.co/PPWhOBA98O https://t.co/h

https://github.com/vishesh-baghel/typesafe

@fernandoeeu_dev @typesafeai A gente tinha isso determinístico antes. Mas errava muito. Aí a gente aumentou o limite do determinístico pra trazer uns 20 itens e o jev tá decidindo

instead of generating text, jev from @typesafeai generates structured output this makes it great for classification tasks like model routing, tool selection/search, and guardrails

@moritzkremb Less jaw-dropping but equally useful, is this native Postgres extension for Jev :) https://t.co/UJ1eRWtaGm

Dumping 50+ tool schemas wastes 90% context. Tool search fixes bloat, but costs an extra LLM round-trip (+2s) and fails on 7B models. tool-prune does it pre-flight in 0.4ms. h

Switched a big chunk of matching, routing tasks to Jev by @typesafeai Crashed my bill by 87% I was already using DSV4F btw Crazy times we're living in

@LakeAustinBlvd Jev has the potential of reducing a lot of "agentic" megaprojects to a bunch of ifs with curl, and I am totally here for it. Am experimenting with jevlike in https:

stupid questions are a pretty good model test playing with @TypeSafeAI (jev) and this is more fun than it should be napoleon's white horse → 87% white car wash 50m away 52% dri

Same week TypeSafe launched Jev (@typesafeai / @CompleteSkeptic). Not a chatbot. Send state + typed questions. Get decisions with probabilities. The pitch is that it's very fast a

Board: https://t.co/bQMPwlAInH Climber: @GravitateCRE Built by: @mattyp @poteto @roshan_s / @thursdayarena Jev: @typesafeai @CompleteSkeptic Also: @grok @xai

@typesafeai built an AI that can’t write you a single sentence but is also one of the most intelligent, cheapest, and fastest models ever. In Thinking, Fast and Slow, @kahneman_da

Jev from @typesafeai cannot write sentences but is great at deciding and classifying This makes it a direct alternative to LLM-as-a-judge setups. Jev returns a choice between pr

Continuing the legacy is-jeven: check if a number is even using @typesafeai Jev https://t.co/sKF7MMgu0K https://t.co/2hqSVF2kil