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. @typesafeai のJevを使って、Local Whisperの文字起こしを都度判定して、Macbookのローカルコンピュータの操作を自動化して、あれこれするのやってみました！ Chrome のページは Browser Harness、Slack やNotionは Mac の Accessibility で認識して操作してる。 実装はGrok4.6のみ(Codexの制限きてたんで）

Jev can’t write a single sentence but sorted Reddit for me. 12 hours with Jev: 180k+ threads collected 12k in target subs 205 worth replying to, ranked by relevancy Self-improving growth loop. Cost: free. https://t.co/bzQxTWPLGX

Wanna check your documents for corporate, legal or technical jargon? I played around with this and made a jargon detector. Paste in any document and it instantly shows you where there is jargon. Super fast and more or less for free. It's just slicing the document in sentences and sends each to @typesafeai' Jev to evaluate. Showing off what the new System One Models that are meant for making decisi

自分が持っているタスクの重みをJevで判断して、アイゼンハワーメトリクス上で可視化するアプリ作ってみた。 お試し段階でも、PMやエンジニアの思考負荷を下げる最高のツールになった。 #jev #openrouter https://t.co/LodsbniofG

Fight Jev and see who's actually better. Integrated @typesafe_ai 's Jev model to control the enemy in real-time. You can see the live probability of every decision it makes right on screen before it strikes. https://t.co/ZxxUQp22TJ

I put 3 JEV bots inside a FPS game. https://t.co/vhKgbUCgZc

Made an X slop detector with Jev Jev flageed @sama as slop, sorry https://t.co/NvjgAVGNDO

Jev AI にマリオっぽいやつプレイさせてみた ギリギリで避けてる https://t.co/iyoUdcRskq

jev is INSANE. we gave it a library of 11 million+ videos on tiktok & ig 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. (only costed $0.09 in token usage) jev also finds, watches, analyzes and breaks down viral videos and creators, then writes briefs and scripts for you, based on p

Jev、これは使い方次第でエグいビジネスに繋がりそう 試しに「大量の広告キャッチコピー素材の審査」を処理するデモアプリを作ってみた 5製品 x 100コピーを訴求力重視か安全性重視かで審査する仕様で、1つ1つを Jev の API コールで審査する仕組み ... とにかく速度がヤバい😍 https://t.co/Aqv3amLtWq

We got access! And in this video we explore @typesafeai's Jev, our first hands-on, then build Excuse Court with Codex: structured questions in, probability estimates out. Cat trouble or alien abduction: what would you test with it? https://t.co/32iOhoIXFC

在 Minis 里试了下用 Jev 决策操作 minis-browser-use 玩 2048，好玩爱玩 🫰 https://t.co/wz8fJatftI

I made a tool that allows customers to create their own filters 👀 with JEV this is the first time it actually feels instant > type "for the winter" and it classifies every product on the fly, based on the product information with EasyFinder we've been chasing intent-based search for 18 months, so this is actually really cool! still an experiment, but having a few other ideas on JEV for i will shar

This might be the answer to simple playtesting. Tetris playing itself in Tatsu Code 1.1: every piece is a typed decision from @typesafeai, about 180 ms, no text to parse. The agent opens the build, plays, watches, and reports what it saw. Point it at your game overnight. This could be great quick playtest sessions and finding bugs. https://t.co/NRKGB84alV #gamedev #indiedev

Crazy!! I made a pigeon shooting game for jev🤯 it tracks where the target is and shoots. bye bye latency going to test for chess https://t.co/5xoL15mY8G

この世にないものを瞬時に言えた人が勝ち！っていうゲーム。これ子供と遊んでたやつなんだけど判定をJevさんにすることで公平に。おまけでJevによるゆるふわ分類タグをもとにキャラっぽい絵が雰囲気生成されます！遊べます！→ https://t.co/o8U5JiTfGu

Got early access to @typesafeai Jev and spent a few hours building on it. The problem I keep hitting: agent traces tell you which tool ran, how long it took, what it returned but never whether the agent is actually getting anywhere. An agent editing, testing and reverting the same file six times looks perfectly healthy in the logs. So I made JevScope. It watches an AI agent work and asks Jev what

文字を打つそばから「上司が怒る確率」のゲージが跳ね上がるデモを作りました。 話題の判断特化型AI「Jev」、レイテンシがえぐい。従来のLLMが「じっくり考える頭脳」なら、Jevは「瞬時に動く反射神経」。 （※なお弊社の上司は仏のように優しい人格者です。週明けも出社したいので念のため） #AI #Jev #TypeSafeAI #SystemOne #LLM #ソフトウェア開発

I rebuilt my job crawler with Jev. The task: start at a company's official homepage, find Careers, and identify jobs that match my profile. Before, with an LLM: ~5 minutes. After, with Jev: just over 20 seconds in my test. Every company organizes its website differently. Jev identifies the Careers entry point, chooses which links to follow, recognizes job pages, and scores each role against my pro

i was curious if @typesafeai 's jev would make different judgements if you push a problem through a Choice vs. a Noul, so i ran it through a short series of trolley problems the only time they disagreed on judgement? deciding whether or not its worth killing more people to score higher on a benchmark 😬

让Jev驱动加密货币实时交易吧，刚刚我给我的 dsh 加密合约工作台加上 Jev 决策，监测对某指定的加密货币，每5秒钟让它决策一次：买入、卖出还是观望，并让它自动下单。 Jev 决策依据只有两样：我喂它的 8 个语义桶 + 写死的判定标准；它做的是把这两样融合成一个校准过的概率来给出决策，收到买入或卖出动作之后，程序会自动进行交易。 后台看了下，500 多次 Jev 调用还不到 $0.01

Jev vs GPT-5.6 Sol and Claude Haiku 4.5 at Pong. The ball moves when the model decides. Jev (@typesafeai, via @vercel AI Gateway) answers in about 200ms and makes generalised realtime intelligence possible. Awesome fast 🚀 Try it out - bit of Friday fun -> https://t.co/oCmEGl9ocg

Jevで問い合わせフォームの全送信を営業度/スパム度/カテゴリ/緊急度の4軸で1リクエスト判定。150〜400ms、1件$0.00002。 営業度97%でもカテゴリ=提携ならブロックせず確認待ちへ 組み込みは既存フォームにscriptタグ1行追加するだけです！ 判定はhiddenフィールドで既存バックエンドに届くので、管理画面もバックエンド改修も要りません。 遮断した送信元はブラックリストに蓄積 → 再送はAI呼び出しなし0msで遮断。 ただ一番の問題は弊社にそんなに問い合わせが来ないというところ。

jev is insane 🤯 It played our RTS roulette game so well it exposed a balance bug (basically unloseable for the grindy, low-risk playstyle). Now even jev can lose lol. All tests cost less than a cent. Legit tool for playtesting. https://t.co/VqGu1gCMTk

This video shows Jev breaking down 724 live ads from 37 brands in seconds, reading the hooks, formats, offers, CTAs, awareness stages and landing-page mismatches through real typed decisions. Total Jev inference cost: $0.002027088. Explore more Jev-powered projects at https://t.co/kiy3S6nuxs

判定特化AI「Jev」に将棋を指させてみた。 Jevは文章を生成せず、選択肢ごとの確率だけを返すモデル。毎手、合法手ぜんぶを渡して1手を選ばせた。 結果は将棋エンジンの最弱・弱に勝ち、中以上には負け。5局で約$0.035。 ロリポップ！AIゲートウェイ経由で今週無料です！ https://t.co/2oni7X6gOD https://t.co/i7urHpN5Kn

JEV makes competitor research feel like a cheat code We fed it Resilia’s ad library and it classified 1,891 ads in 19 seconds for $0.12 Customer journey stage, ad style, and a full account deep dive Coming soon to the maxfusion MCP https://t.co/ccBgEJ83VQ

I put Jev inside Claude Code. Jev reads every prompt and picks which of my rules apply. 12 rules in the project, Claude gets the 1 it needs, and a focused session uses about a quarter of the context tokens. Watch: my prompt never mentions payments, yet the payments rule lands the moment Claude edits a checkout file. 40 seconds, real session. The problem: rule files pile up. Test the payment code.

Ayer en stream nos pusimos a programar un bot que juega Slay the Spire 2 automaticamente usando Jev de @typesafeai Por ahora solo tiene la parte de combate, pero funciona bastante bien (no juega de forma optima por ahora) https://t.co/vWMqLQUt3e

JEV is insane for competitor research! We gave it Resilia's ad library It classified 1,891 ads in 19 seconds for $0.12 costumer journey step + Ad style And a complete deep analysis of the account Coming soon to maxfusion MCP https://t.co/tRfDerHGBs

built a chrome extension that lets me write my own X algorithm. it hides engagement bait, empty hooks and ads before I see them. the rules are plain English. Jev by @typesafeai checks every post in half a second. anyone want to try it? https://t.co/ybO4pSm1pK

Jev has reinvented competitor research! We leveled up my ad autopsy and turned it into ad account X-ray. I gave it meta ad account – it classified almost 700 active ads. And made a complete evaluation of the whole account. The whole process took 12 seconds and cost me just under $0.05. Maxfusion Research Lab + Jev feels like driving a Bugatti with a rocket booster. Soon on Maxfusion.

TypeSafe'in Jev modeline 2048 oynattım. Videoda oynayan ben değilim. Soldaki Terminal'de kararları görüyorsunuz, sağdaki tarayıcıda oyun gerçekten oynanıyor. Kendi kurduğum taklit bir tahta değil, herkesin girip oynadığı siteden. Her hamlede dört yönün yanındaki çubuklar modelin o yöne ne kadar meylettiğini gösteriyor, altında seçtiği yön ve kararın kaç milisaniye sürdüğü yazıyor. Ortalama 300-400

Jev 场景探索：基于高质量数据集做个性化推荐。 孩子或家长输入任意的自然语言，基于整个数据集来给出推荐结果。 初试下来，命中的结果高度贴合预期，平均耗费时间较长，需要 15 秒左右，故展示效果的等待时长经过删减。 https://t.co/gNLi5Qs9Mo

Just trying out Jev, I made a FlightWifi Chrome extension that: - Checks Wi-Fi on your flight (automatically) - Detects if the aircraft supports video calls, email, or nothing at all - Detects Starlink or traditional Wi-Fi and shows the verdict directly on Google Flights and more - So you know if you can actually work before booking ✈️ No more guessing if the Wi-Fi is worth paying for https://t.co

Small demo built with @typesafeai Jev and @cactuscompute Needle Coding by @claudeai Fable, maps by @openstreetmap, additional information by @mapillary, voices by @Alibaba_Qwen Qwen3 TTS, and music - which I did not ask for, btw - by @StepFun_ai ACE-Step 1.5 Three prompts total. "dude, I have no idea what we are going to do here... but 1) not a kortexa repo yet, so no factory, pure vibing, 2) grab

Jido Jev + ReqLLM playing Tic Tac Toe Each agent makes Jev calls to determine their next move, pretty fun! Now time to scale up ... https://t.co/Eytqae3Ego

My god.. so many nice use cases for the new Jev model. I quickly built a PII and sensitive data redactor. First checks each sentence if it needs redaction, then feeds the affected sentences individually to pick the words that should get redacted. Compared to e.g. using regex this catches also information that is not following a known structure but should still be redacted (like a business secret o

My first experiment with Jev from @typesafeai. "Playable" video game NPCs. Tell one to explore, gather resources, or build a house. Override its directive and watch it change course. The NPC's next action choices and probabilities are visible live. https://t.co/1YdumKmIgg

今話題の Jev を使ったクソリプ・AIBot 判定器をつくった！ https://t.co/c4vHIlDLL4