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That is almost exactly the territory TypeSafe claims Jev is built for. ... The narrowness of the test is important here because it relates exactly to what TypeSafe claims Jev is…

That question is already being answered for Jev, the first public System One Model from TypeSafe AI. ... ## What is Jev by Typesafe AI? ... TypeSafe AI describes Jev as AI built…

JEV is TypeSafe's System-One model (`jev-latest`), served at `api.typesafe.ai/v1/systemone`. It's text-only. No vision, no market opinions. You POST it a "state" string plus a…

After two years in stealth, Diogo Almeida, one of the researchers behind ChatGPT, launched Jev at TypeSafe AI. The company advertises roughly 200 times faster and 400 times…

That gap is exactly what Jev AI is built for. Jev is a System One model from TypeSafe AI that returns typed decisions with probabilities instead of generated text. You send it…

> TL;DR: I ran 4 experiments using TypeSafe's Jev model to quantitatively measure geopolitical bias in AI recommendations. The results? 91.5% of the time, US models are placed…

I Tested TypeSafe’s Jev, a 478× Cheaper Decision Model, Against Claude, GPT-6, Kimi, MiniMax and DeepSeek. Only Two Beat It. | by Manjunath Janardhan | Sep, 2026 | Medium ... # I…

And then in September 2026, a well-funded frontier lab called TypeSafe AI (founded by Diogo Almeida, a co-inventor of ChatGPT at OpenAI) launched Jev. They proposed the exact…

TypeSafe describes Jev as a model that takes structured or unstructured state and returns typed, probabilistic decisions that software can use directly. ... ## Step 2: Understand…

Jev, a System One model from TypeSafe AI, evaluates supplied state against typed questions and returns choices, scores, and boolean probabilities without generating prose. The AI…

Actually Building With ... When TypeSafe AI came out of stealth in September 2026 with founder Diogo Almeida, a name attached to both ChatGPT and RLHF, the framing was almost…

Jev is the first public model from TypeSafe AI, released in early access on Sep 15, 2026. The announcement post is here. ... TypeSafe frames Jev as a new class of frontier model:…

TypeSafe released Jev on September 15 as its first System One model. The interface is built around typed questions over some application state. Instead of generating text token…

▸ TypeSafe's Jev outputs decisions, not text (source: @aigc1024, @https1024). The model does only three things: boolean judgments ("search or not"), enum choices ("fast vs plan,…

typesafe.ai built Jev to answer yes/no and multiple-choice questions in under 500ms, not to write text. Here’s the architecture behind a model that gives up string generation to…

A company called TypeSafe AI launched a model this week called Jev. They told us how fast it is. They told us what it costs. They told us it plays Doom in a tenth of a second.…

TypeSafe’s Jev Makes ... Decisions Fast Enough to Play Doom | by Kristopher Dunham | Sep, 2026 | Medium ... # TypeSafe’s Jev Makes AI Decisions Fast Enough to Play Doom ... A…

Abol

@abolbuild

🧵 I wanted to understand what makes Jev different from a normal LLM. So I built a tiny real-time game with it. The AI controls the player and has one goal: Don't get hit.

To pick that list better, I tried Jev, a decision model from TypeSafe. I did not have Jev write recommendations. I asked it to rate candidate games, then handed the model that…

Marcel Pociot 🧪

@marcelpociot

Jev opens up so many possibilities for gaming 🤯 🏁 I built Wordshift - the first semantic typing racer game built with Jev from @typesafeai Slower than a jet, bigger than an elephant, faster than a cheetah. The bigger the difference, the farther your car moves.

I used Jev to control a swarm of 15 simulated drones in real time - Web Pulse ... # I used Jev to control a swarm of 15 simulated drones in real time ... TypeSafe released an…

TypeSafe's Jev came out of stealth this month and every demo I see is the same: browsers, games, toy agents. Jev doesn't chat - it takes structured state and returns typed…

### Jev only answers yes/no or pick-one. 16,000 calls: against gpt-5.4-mini and gpt-5.6-luna on four public datasets, then on a few thousand real pipeline decisions. Where it…

Jev was the tipping point - I built the last MySQL search statement - WPS ... # Jev was the tipping point - I built the last MySQL search statement ... So I built AILIKE. It lets…

What we're really tackling is this: How can AI truly assess a resume without falling into the trap of just echoing buzzwords? How do we know the candidate isn't just sprinkling…

Zade

@zadescoxp

I built a trading agent with the all new @typesafeai Jev. You can try it here : https://t.co/im4bydkUTh. Just put your own API key and start playing or clone it from https://t.co/wIYgpRWv0w and test it locally. To my surprise the agent was able to take a trade of 2.405 $ETH and

for a short video, four segments, each tagged with type, duration, and text. The `noul` confidence scores are real Jev API results for the original Traditional Chinese text (an…

Jev is a model that answers typed questions instead of generating text: yes/no, pick-one, or a score on a scale, each returned as a calibrated probability. You can get the same…

Roan

@RohOnChain

i built a 24/7 HFT trading bot with Jev and wrote an 8-page research paper on EXACTLY how to build a millisecond speed high-frequency trading system with Jev, along with COMPLETE CODEBASE here is how you set it up: 1. split your system in two, deterministic code owns the math

Pass two hands that shortlist to Jev, TypeSafe's decision model, in a single batched call. Jev isn't a chat model, it's what they call a System One model: it doesn't generate…

A semantic lint is a rule you can state in a sentence but cannot express in a regular linter. Jev turns each rule into a yes/no question over one diff hunk and returns a…

Jev is TypeSafe AI's model for that narrower job. You give it the relevant text and define the possible kinds of answer. It returns typed values and probability distributions…

SuperQode is our terminal-first harness for coding agents. You bring a model or an agent. SuperQode owns the loop: tools, permissions, YAML exec-policy, Git Guard, session…

codila

@0xCodila

Jev is the "Internet" moment for the AI industry It tells your agents and LLMs what to do next, in milliseconds and at almost zero cost If you set it up correctly, you will have the AI engineer’s stack for 2028 In this article, I show you how

Two public sources now say Jev beats GPT-5.6 Luna. Vercel's CEO says so for the safety reviewer in fx, a Vercel tool whose default auto mode runs that reviewer on every command.…

TypeSafe released Jev on 2026-09-15. It is a decision-only model: you give it yes/no propositions and it returns a probability instead of text. I put it in front of Pi's `bash`,…

# Exploring Jev for AI-Driven QA with agent-device ... TypeSafe recently released Jev, a model for making fast, structured decisions. The company reports response times of 70 to…

Jev handles narrow, typed decisions over unstructured data through TypeSafe's System One API. Your code supplies the relevant state and one or more questions with constrained…

That's where Jev comes in. From Parts 1-2 we know it's a fast, cheap "decision model": give it options and a question, and it returns one answer plus a confidence score - no long…

I built a CI tool this week that reads every pull request and says whether it is AI slop. It flags speculative abstractions, tests that only assert on mocks, swallowed errors,…