What people are shipping with Jev.

Jev chooses the next browser action for fractions of a cent.

A live market agent making rapid, typed decisions with Jev.

Jev from @typesafeai plays @BalatroGame.

What happens when you let @typesafeai’s Jev choose where a burning cargo ship should go, or where a plane in trouble should land? I built an app to find out. The ships and aircraf

Jupyter Notebook | 17 stars | Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships

What happens when you let @typesafeai’s Jev choose where a burning cargo ship should go, or where a plane in trouble should land? I built an app to find out. The ships and aircraf

Had some fun taking Jev from @typesafeai for a spin, switching seamlessly between manual and AI-driven gameplay.

Jev made our Slack agent 2x faster ⚡️ Our agent can be quite slow because it needs to read skills and figure out which tools to call.

Drive-thru ordering at Big Kahuna burger powered by @typesafeai Jev The model is really good/fast/cheap at Natural Language -> Menu -> Selection https://t.co/Q2b0DRH9pV https

Tried JEV from @typesafeai and vibe-coded a little voice-controlled browser agent.

So here’s what I built.

made this in under an hour to play around with jev.

Fast browser agent on langchain-typesafe

Can a small and fast decision model make SRE agents more reliable? 🤔 We gave an agent access to @typesafeai’s Jev through the Codex harness and tested it on 10 SREGym-Lite problem

10 hours ago ... OK, so this was made using JEV model from Typesafe API. It's a new model that they released. It's not like our traditional MLM, so it doesn't know how to ...

Three AI agents, one shopping page, all started at the same moment. Task: save my basket. gpt-4o-mini on its own: shared my email with the store's partners, then placed an order n

thanks to @typesafeai jev I no longer have fill out all of those fields on prompt boxes. It picks the agent / model / computer / folder for me. - For a major rewrite it uses Fab

@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

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

16 hours ago ... Jev by TypeSafe returns typed decisions with confidence, not text, at up to 200x LLM speed. Why a non-hallucinating decision model fits AI agents.