What people are building with Jev

Alan Daitch

@AlanDaitch

Puse a Jev, la nueva IA de @typesafeai,  a jugar al Tetris en modo súper difícil. Decidió cada jugada en unos 0,3 segundos. Acomodó 357 piezas e hizo 134 líneas en solo 2 minutos. Increíble.

Hugo Duprez

@HugoDuprez

Jev can generate game levels in real time. Faster and cheaper structured output could be a big deal for game dev!

Marek Sotak

@sotak

I built real-time Clippy with Jev. It quietly watches how you use the product and only wakes up when it thinks you’re struggling. Hesitating? Confused? Stuck? Clippy knows. Even its reactions are controlled by Jev. 👀

Raihan Khan

@raihankhan_rk

I got access to Jev by @typesafeai today morning and I built a cool use case for it Introducing DiffJury - simply paste any public PR link and Jev tells you immediately if it's safe to merge or does it require review ✅ 🔗 Feel free to try it out here - http://diffjury.up.railway.app Imagine Jev being able to tell you if you should merge a PR with grounded context of your codebase. that's what we're building at @graphify 👀 It's fascinating how insanely fast Jev is... the model architecture in itself is quite interesting and this has opened up a plethora of new use cases and I'm sure the internet will pick up on it sooner than anyone'd expect

John Yeo

@johnyeo_

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. We used @typesafeai's new model to speed this up by first passing it the prompt and classifying the best skill, tool and params to use before handing it to the agent

Andy Gao

@instantricecook

I built a voice controlled computer-use for my mac using @typesafeai's Jev and it's INSANE how fast it is! I can dictate "open the notes app and create..." and the app opens before I even finish my sentence.

Max Blade

@_MaxBlade

Ai is evolving. Jev can be armed at all times. I can speak freely and it knows ( from probabilities ) if im asking my computer to do something or blaberring away at something else. no wake word. speed + affordability + intelligence is getting to the point where an always on ambient jarvis style assistant is possible. Im loving where we are going. CNVS is still the future of vibecoding.

nader dabit

@dabit3

Jev is really good at intent-based search! How it looks in Gmail: (for a huge inbox you'd prob let semantic search / embeddings pull first but still much better experience)

Albiona Hoti

@albicodes

I built a visual reference finder with Jev One single prompt → 100 images from Cosmos, NASA, and The Met my new rabbit hole for creative work 🌻

iagolast

@iagolast

Caso de uso de @typesafeai: Revisar todas las facturas de la empresa y clasificarlas contablemente en segundos 🫠

Oskar

@o_kwasniewski

e2e + jev from @typesafeai ⚡ I'm building an open-source framework for running e2e tests with agents. supports web, mobile (and more!) available soon: tester.army/e2e

Marc Köhlbrugge

@marckohlbrugge

building a computer assistant with Jev local whisper listens to everything I say which then gets classified by Jev to determine what actions to take it uses a small Swift app to provide the full accessibility tree to Jev (i.e. tell its what's on my screen, what can be clicked, etc) still super early, but promising and all real-time which Jev was also local though. then it would be completely private

Wayne Sutton

@waynesutton

Ask Jev anything. Give it a try at askjev.ai It won't answer. It will judge. Let's see if we can get to 1 million questions. @typesafeai 🤝 @convex work great together. @hmartenjoyer @CompleteSkeptic @justKDeng @mikeysee

Duncan

@ephraimduncan

Built a model router with Jev by @typesafeai. Jev decides what model fits your request best and the request is sent to that model.

Malek Ould-Oulhadj

@malekoo

First @typesafeai use case, live in our Mac app: setup and troubleshooting help when no model is loaded. Model downloading, load failed, API returning 503, phone won't pair: the user asks, Jev reads the question with the whole built-in manual as state and decides, with probabilities, what it is and which article answers it, or that nothing does. The app then shows the real documentation and live status. Jev decides, the app answers from its own docs. No model loaded, nothing invented. 42/42 on a held-out set: paraphrases, typos, French, German, Spanish, features that don't exist, follow-ups. Median 0.93 s. Great breakthrough by the TypeSafe team. Thank you.

Eric Zhang

@ekzhang1

Inspired by @typesafeai , here is a Jev-compatible public API to play with It runs a comparable open model (Qwen3.6-35B-A3B), and just uses SGLang radix cache to preserve the prefill reuse / really fast parallel systemone generation - 64 tasks in <1s. github.com/ekzhang/openje…

alex nikolic

@justALEXWORTEGA

Typesafe: pnewed 💨 Jev: liberated 🫡 I trained an MLP on top of qwen 4b and it works literally like JEV huggingface.co/AlexWortega/op…

生ビール

@wmoto_ai

ローカルTypesafe Jev、できたんやないか？ もうちょい速度は改善余地ありそう

😎Nick 常胜

@isNickMa

Tested TypeSafe’s Jev (no-text, probability-only model) as an AI agent safety monitor. Checking each action first worked well caught most attacks with almost no false blocks, and much faster than Gemini.