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DiffusionGemma-as-Jev (aka djev) running near-real-time vision detection from a mobile phone using its native vision tower. Please don't fall down the stairs! https://t.co/C9kBCD6irx

I built a game were you play against a sentinel in two modes: 1. Default: Sentinel runs a fixed chain of if/else rules. It follows every one of them and still wanders the map looking for me. 2. JEV Live: hands the Sentinel's tactical call to JEV. -> It went and covered the exit. 💀 Same game, same available moves. Only the decision logic changed.

@typesafeai @CompleteSkeptic lol Jev is fun got it to solve a bunch of games at scale, Sudoku took a bit of time though https://t.co/hLrF09riQ1

Jev x GPT-6 Astra x H3 Max I created a complex decision making game with Astra. It is about keeping the city on a whale alive with decisions. - GPT 6 Astra designed the world - Jev chose the actions - H3 Max Turbo on fal turned one decision from each round into video All of the Jev decision making and video generations took only 5 minutes for 264 clips

Jevmaxxing on Notte browser sessions ⚡️ > https://t.co/ZokbHG5WxE Type a task, hit start, and watch Jev @typesafeai pick every actions super fast from the page's action space. > new action space every step > Notte cloud browser over CDP > step-by-step replay of every decisions Try it yourself! ▸ https://t.co/ZokbHG5WxE ▸ https://t.co/uGO7cLo2st

tested Jev as a real-time robotics policy in MuJoCo it struggled at first, so i split each update into two calls: decide what to do next, then decide how to move the arm and gripper Jev doesn’t accept images, it gets simplified geometry and contacts as text here https://t.co/iKK7jcrrpO

Also been playing with @typesafeai Jev. Insane. A pile of apps suddenly become possible. What a time to be a builder. Sharing experiments here. First one: Keystroke oracle / predictive launcher A normal launcher ranks by aliases, fuzzy match, and habit. Jev reads intent. Type “the pdf I just downloaded” and the newest PDF is already the top hit. Full confidence on every keystroke. About 100 ms.

another demo for jev for ~instant variable generation https://t.co/ddjvvHXpai

Jev + Higgsfield = solved auto-routing for genAI models. In this demo, @typesafeai’s Jev evaluates prompt and picks the most fit models for video and image generations on Higgsfield API. https://t.co/MyTRdqlZ3o

Jev + OpenCode + Browser Harness + Sanbox = 🔥 Watch how OpenCode + browser harness visit a tetris game website, read the control instructions, use gpt-6 to build a game controller for Jev model, and then hand off to play the game. This is all a single shot prompt with no special skills or tools. Jev model chooses from predefined outputs. In this setup keyboard based gameplay actions were not inclu

I used Jev to build the fastest SEO/AEO audit tool it took it 16 seconds to audit my full website It goes through every page on your website, analyse it checks it's html code, content and gives a full prompt to fix them too. It's free and available on Bottally now. https://t.co/oYTFCWYjUY

Jev added more precise camera controls and ~230x faster planning to an editing tool I built on top of @mintdotgg! Jev converts natural language to precise camera movements (ie spelling ASTRA) by answering a few calibrated multiple-choice questions (move kind, plus direction and magnitude band per camera axis) By creating keyframes it emits a structured trajectory (time/azimuth/elevation/distance)

yes / no jev demo https://t.co/cINZEnqWFm

Applying @typesafeai 's Jev to robotics & swarms. JevDuck (https://t.co/suJgqvf7pv) connects Jev's typed decisions to the official Microduck simulator. MuJoCo WebAssembly computes the robot dynamics in the browser and the original ONNX policies control the articulated joints. Try it here https://t.co/r8DToTfmcg

Made Jev fight OpenJev in a first person shooter. https://t.co/wSB3psnvwB https://t.co/vwewLu682T

I used Jev to give a tiny civilization six minds. Then I played GOD. Kindness earned trust, Tyranny sparked rebellion and an apology didn’t convince everyone. Jev decides how each faction reacts and the simulation brings it to life. Try GODMODE in replies ⬇️ @typesafeai #jev https://t.co/qRiNOIylwa

Got @typesafeai jev-latest access today So I made jev play the dino game against a gpt-5 model and a real human and the results are shocking!! https://t.co/YGnubYe7Ps

made some time to test jev from @typesafeai used theMealDB and sent each recipe to Jev to score on five dimensions: quick, cheap, healthy, impressive, and beginner-friendly, while filtering out desserts, sauces, bread, etc. The whole run took just over a minute and cost $0.0455. I ran it twice and got slightly different rankings. Close results swapped places over the runs. So you either need to us

Was curious how jev performs for e2e testing on a real android device. Both started with the same prompt and 15 test steps. Well, jev was ~14.8x faster than deepseek + vision navigating through wikipedia. https://t.co/xLW13tBISH

jev is bloody INSANE we gave it a library of over 11 million videos on t1ktok & 1nstagram and asked it to find viral "bloom nutrition" content. in 20 seconds, it gave us over 384 videos, breaking down the hook, format & angle that made each one go viral. (and it only costed $0.09 in token usage) jev finds, watches, analyzes and breaks down viral videos and creators, then writes briefs and scripts

Jev can control a swarm of 15 autonomous drones in real time! I built a simulation to test it navigating an asteroid field: • Decision latency: < 300ms • Survival rate: 100% (all 15 reached the destination) Built with @typesafeai by @CompleteSkeptic https://t.co/4xbduOkArc

Now it's my turn. Jev sorts my inbox very quickly and accurate and also let's me add custom filters? I was working on my own mail client for private use for mac and linux and today i wired it up to use jev to sort my mailbox as i need it. Also in there are AI replies (not jev, use any model you like gemini is good for this) and all works with an Openrouter API Key Who wants to try it?

I built a real-time filter for X with Jev as you scroll, it spots engagement bait, rage bait, and promo posts, then throws them into a trash bin. and it's open source so you could BYOK ⬇️ https://t.co/UyAjHiuwP1

JEV is INSANE 🔥 we gave it 1,873 backlink outreach emails to see which ones are more probably to get a reply (0-100) for each one it analyzed: → website and article relevance → how natural the proposed placement felt → contact message fit → personalization quality → friction of the request we then ranked the entire campaign and prioritized the emails with the highest probability of success this is

What does it cost to sort 1,700 emails with Jev? I gave JEV each full email object: - Subject - body - sender No special changes. Jev sent back 4 values for each email: - Category: work, shopping, finance, security - Priority: low to urgent - Spam score: a percentage - Reply score: how much the email needs a reply from me One user wrote that their account had a violation. JEV gave it a 90% reply s

The ideas have been flowing the last 48 hours. I built a way to load and classify YouTube comments with Jev to understand which ones need my immediate attention 🎉 https://t.co/cKOFKv1ZjX

@CompleteSkeptic Jev prompted me to explore this with open models. I built a small Python package for typed decisions using local Qwen, and tried it on Tetris alongside Jev. Code, traces and limitations are public. https://t.co/NeHEWQ8qBQ https://t.co/IZJYhsdmpM

I turned Jev into an image model…? Presenting Jevinci! https://t.co/8rO1mBA1D9 The paintings are pure JS, no AI image-gen. Jev predicts every pixel's color in parallel and we paint them. The more confident Jev is in a prediction, the wider the brush. (sped up 4x) https://t.co/jWkC0pB6uj

I built a bot that plays a puzzle game by asking an AI before every tap. Each tap you see is a live API call. This is Jev, @typesafeai model. No prompt, no generated text. My code lists the legal taps, Jev returns a probability for each, code taps the best one. 15 puzzles, 190 calls, ~240 ms per call, total cost $0.0298. (Most of that was the last hard puzzle) Why so fast and cheap? A normal LLM a

Weekend teaser: Jev vs Opus 5 The task? Win Minesweeper. ⚡ Jev: 24s | $0.003 🐢 Opus 5: 2:19 | $1.09 5.8× faster. 363× lower cost. Next week, we'll release a demo so you can compare different models and see how they handle your own board. https://t.co/quQOzli57l

i put Jev by @typesafeai inside a pigeon. it has one job: find jargon in your writing and take a dump on it. https://t.co/us8w5LNjdz

Jev helps me do football video analysis. Gemini gemini-3.7-flash watches the match (Man City vs Norwich). Jev (@TypeSafe) judges each play in ~0.2s: channel, counter-attack, danger, key players. The insights appear on the video while you watch. A 12-min highlight analyzed for ~$0.06. (next step live game analysis).

Here's what I built which has a usecase for jev. Jev sorts my inbox very quickly and accurate and also let's me add custom filters? I was working on my own mail client for private use for mac and linux and today i wired it up to use jev to sort my mailbox as i need it. Also in there are AI replies (not jev, use any model you like gemini is good for this) and all works with an Openrouter API Key ht

I hooked up Jev by @typesafeai to a few agents on my Minecraft world. Look at how Jev decides when they should fight and when they should run away. Jev rates the odds from what the agent can see, mob count, weapon, how hurt it is, and runs away when they are bad. One broke off mid-fight as its odds turned.

I've wanted this for ages and it's finally possible now with Jev by @typesafeai Imagine Mobbin, but it grabs fresh flows for whatever you’re looking for Browser use has always been to slow to pull this off properly. Jev + browser use are insanely quick now 🫪 I had a lot of fun tinkering on this yesterday

人気配信者のコメント欄もAIが監視する時代に！ 判断特化のAIモデル「Jev」を、配信コメントの自動モデレーションを試してみました！ コメントごとに「問題なし／要注意／10分停止／1時間停止／永久ブロック」の5レーン振り分けと スパム・人格攻撃・脅迫・個人情報の該当確率、視聴者の感情の判定を同じ1リクエストで取っています 確信度が返ってくる0.5未満は自動処分せず要注意に回す運用も可能でした 例えば、平均同説5~10万人ほどの超人気配信者が5時間の配信を行った場合、50万件ほどのコメントを捌いたとして常時回しっぱなしでコスト試算は$30~$50ぐらいになるイメージです 実務上は信頼性が重要になるので、安全弁的な措置はもっと必要ですが、実用性がありそうな気がしました

Ok I was busy doing actual work today, but here is another Jev experiment ... Code linting, for specifically the kind of "anti-patterns" that LLMs tend to include, "inline" as part of the code gen. process giving immediate feedback. The idea here is that while you can create a set of ast/ or other programmatic rules for alot of these, the models tend to get really creative to satisfy the linter bu

I made a Chrome extension that uses Jev to classify each tweet as you scroll. You can filter out certain categories like 'vaguepost' or filter to only see a certain category. It's VERY fast and VERY cheap - you'd be able to classify 30,000 tweets before spending a dollar 🤯 https://t.co/DPjl2zQVu7

hey folks, my dream come true Real-time analysis of Fed press conferences with Jev Jev @typesafeai by @CompleteSkeptic scores every word the Chair says in ~150ms; the chat model scores take way longer Check out the recorded demo, or try a live comparison on a past press conference with Claude Opus 5, GPT-5.6 Sol, GLM-5.3 and DeepSeek V4 Flash. Would love any feedback!

@rauchg Had a lot of fun playing with this concept today! Gave Jev context about design system components and can now generate webpages with my voice https://t.co/XO8lViOqev