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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

Looking for inspiration on what you are able to do with Jev (by @typefaceai) this weekend? Built a website called Jevable (https://t.co/BImN16sFqz) which showcases all the fun demos on X - filterable by a few categories. Feel free to add your own project by using the + button!

I built a tool that finds App Store keywords by reading the competition, and uses Jev to judge them. What it actually does: 1. Turns the app's own listing into a handful of search queries, with Jev filtering out the ones nobody would type. 2. Runs those searches on the App Store. Whatever ranks is the candidate pool. 3. Jev judges each candidate: is this really an alternative to the app, or does i

Here's a program I built on Jev that analyses every launch and trade on Robinhood in real-time. Every token is enriched with X data, holder distribution, metadata and chat. All of it gets fed into a decision engine. Hyper experimental. Will let it run publicly soon. https://t.co/qTYEFy0Djt

I've been playing with jev and I've made this fun model router, a bit like Tinder. Meet Consort → https://t.co/GNsnu0i5Tb I'm super interested in what your input and what your output is like. https://t.co/yqRuiG7Fpq

JEV IS INSANE I just built a Jev Computer use Agent that works faster than i can even click the screen.. Check it out https://t.co/LymMcIuA9a

I gave Jev the keys to Arthenix city. Now it runs 124 lives. Each has their own personality, job, habits and friends, and Jev decides what they do: when they work, when they take a break, who they hang out with, when they head home. A truly living world. 🧵 https://t.co/TeCF8u0dr4

me: finally gets access to Jev - @typesafeai also me: immediately makes it play official Tetris level 1 → 30 in . ~16 cents (my rough math). Crazzyyyyyy🤯 Play it in 2x. ✌️ https://t.co/AAeMzK4M3n

@typesafeai's Jev controls the 2 hands and each finger to play the piano in real-time. Jev only "sees" what we see and plays this from the "note waterfall". It uses @browser_use's jev-ultrafast and some decision scheduling to make this happen in real-time. Sound on 🔈🔉🔊 https://t.co/Tsw7JQyI1j

One of my personal projects is building a system that plays through entire console libraries, expanding them over time. At first I was only getting about a minute of clunky gameplay, and it was taking way too long. With Jev, it took around 24 hours of back-and-forth and less than $4.23 to complete Super Mario Bros. I only had to step in with hints at three spots, one pipe and two castles/mazes, be

wanted to see what happens when a few Jevs play Catan so I forked...after a while the Jevs just refuse to negotiate with each other and end up doing nothing on their turns 😭 really fun model to play around with!! @typesafeai awesome idea to try jev with games @Vtrivedy10 https://t.co/aTpWJLHmSk

i got jev + an llm playing doom, with a twist: try several futures, then keep playing from the best outcome. jev picks the moves. a custom harness uses @microsandbox to run attempts in parallel from the same checkpoint. the llm reviews what happened and guides what to try next. not enough? it rewinds to an earlier checkpoint and tries another path.

JEV is changes the world of E2E testing! Same eBay test flow, completed-run medians: Jev: 47s / $0.0067 GPT-5.6 Luna: 62s / $0.0277 Claude Sonnet 5: 79s / $0.4062 Try jev-e2e. https://t.co/fyOdrNi3jF https://t.co/T2zaVnGvYO

everyone's making demos with Jev but nobody is making real products introducing https://t.co/fClaUNrMAn find and monitor reddit threads to get cited by AI > FREE > 4000 reddit threads scanned > email, discord, slack only possible to give for free bc of Jev & @getanyapi https://t.co/31iD8ygfxu

introducing JevForm, a form that dynamically branches and chooses what to ask next usinng @typesafeai’s Jev in my life i’ve made hundreds of forms with crazy if/then logic. Jev solves it. built with @vercel json-render (by @ctatedev), so theoretically it can support any generative form UI, and @DavidKPiano’s xstate for the actual state Play with it here: https://t.co/0TwQD3wEH8

today i built talkr, a speech analyzer using @typesafeai > talkr gives you a topic > you talk about it for 30s > jev analyzes your speech: pauses, filler words, repetitions, confidence, clarity > you get a score and feedback to improve can’t wait to 10x my speaking skills https://t.co/ENybzQkIW8

Yesterday, GLiNER2.5 played doom. Rapid play looks coherent, but Jev has a secret sauce: decisions. So, I kept the embedder and trained a small decision head on the output. Now it's a homebrew decider model on embeddings. What homebrew decider model will you make this weekend? https://t.co/vOgOyu4Ye8

Built something really cool with Jev for my Agentic Inbox setup on Cloudflare. @sunilpai @thomasgauvin this was fun to put together. https://t.co/oXoVcD566W

Here's an example of Jev routing tools, skills, cli commands for Qwen 3.8 27B on @cerebras to format a Power BI report. Changes are almost instant; working on Linux, only wait due to publishing and refreshing embedded report. The video is not sped up, at all. Just a start. https://t.co/AZWKXZFYzR

Jevを使った音声認識アプリを作ってみた 話した内容を文字起こしして、それをJevが重要度判定する 重要な文節ほどフォントが大きく、色も濃くなるので、あとで見返すときにラク！みたいなイメージ 議事録作成とかに使えるかもしれない https://t.co/9hPeg6myjB

Jev is the most powerful trading agent! I plugged this open-source repo and turned Jev into a 24/7 trading bot that reads the live order book, decides to buy or sell, and places an order every 300 milliseconds and it can be adapted to ANY market or trading pair... here is how you can set it up: 1. clone the jev-trader repo (github on top), one bun install gives you the live market feed, Jev adapte

I asked jev to analyse and rate my 2442 posts on X and it's review was brutal to say the least, here's a 2-minute snapshot of the run (3x speed up) The whole run took around 8mins getting us to ~5 posts/second which is quite low, am I doing something wrong? https://t.co/Fli47KhwhO

okay Jev is an INSANE unlock, I just gave Mario a multiverse. built "Mario Never Dies" with @typesafeai's Jev + microsandbox Jev picks every move and every time Mario dies, we fork the entire VM into 4 timelines and try again. whichever Mario survives becomes canon. it is like the others never happened.

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. https://t.co/elObRrcVti

X algorithm post simulation hits 5M views. built using JEV. https://t.co/ub7Jcm4Q7w