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Community playground with editable Jev use cases, games, dilemmas, challenges, and A/B comparisons.

Drone-swarm simulation using Jev for reflex decisions and collision avoidance.

AI-town simulation where Jev selects character actions and responses.

StarCraft agent experiment using Jev for fast tactical decisions.

Jev 是怎么打 DOOM 的？ 它读游戏导出的结构化状态，选择目标和行为，再由控制器执行具体操作。把“司令官”和“手脚”分开，才看得清这个演示是怎么搭起来的。 做了一期 5 分钟拆解，讲清模型、动作抽象和控制器各自负责什么。#Jev #GameAI

LLM をゲームで使ってて一番困ってたのが、考える時間の長さ。Agent 同士でリアルタイムに戦わせるのが、なかなか難しかったんですよね。 今回、@typesafeai の #Jev にアクセスできるようになったので、ゲームに組み込んで Sonnet Fast と動かしてみました。どんな感じかは下の動画を見てください！ 次は 5 秒のターン制限を外して、Laya と Jev をリアルタイムで戦わせてみようかな。

A Clash Royale bot with no trained policy: Jev (TypeSafe System One) makes every decision from the live game state.

Laya (open source, local) vs TypeSafe Jev (API): two AI models race in Snake and fight in a Mortal-Kombat-style arena. Every move is a real model decision.

🚀🚀 A 0.8B JEV-like multimodal model playing GUI games directly from raw pixels.

Laya vs Jev: local MLX and hosted AI decisions playing T-Rex side by side, with live metrics and replay recording.

Jev uses one typed Choice question to select each narrative action from the options available at a Detroit: Become Human decision node.

Editable Game of Life ruleset bench where Jev evaluates legal cells and chooses each intervention while code advances and verifies the board.

Commit-reveal rock-paper-scissors game where Jev scores player behavior, predicts the next move, and chooses its own move before the player acts.

Built a level design playtesting demo with Jev. 100 ghost players. 33 predicted to finish. 32 made it. The bottleneck? A laser window. Widened it, and 36 made it through. A simulated look at where players get stuck. Would you test your first level this way?

Opus 5.5 vs Astra GPT-6 creating a game called JEV pongs JEV This video is NOT AI generated! However, what you see here is a game where the new @typesafeai model JEV fights itself in a Pong clone game. See for yourself how Opus 5.5 blows Codex Astra GPT-6 out of the water. (Sound ON!) Want a deep dive video from first prompt to finish, let me know. Happy to show the details!

Everyone is talking about Jev, but there’s a new kid in town: Decision-Machine-1. So far in my tests, it’s faster, cheaper on estimated API cost, and beating Jev at tennis. 🎾 I wanted to understand these decision-making models, so I made it fun. I adapted a browser tennis game and let them play against each other. Now I’m watching API calls turn into rallies and wondering why one player keeps rushing the net. The players are Jev from @typesafeai and Decision-Machine-1 from @millisecondsai Each model gets a snapshot of the game state and picks a tactic. It can choose the shot direction and dep

been testing a few Jev models by making them play Pokémon & snake lol which is the best way I've found to see how a model handles a complex situation tested: Laya, @jaredpalmer's Kev, @flock_io This/That 1.1, @googlegemma djev

Claude Opus is insane! Sonic just won’t stop. Pair it with Jev, and I honestly can’t look away. 🤯 I built this on YouWare with Claude Opus 5.5 using one prompt: “Create a beautiful Sonic-inspired endless runner using Three.js and WebGL, with smooth controls, polished visuals and refined interactions. Deliver it as HTML.” The gameplay is so smooth. Play it yourself, or let Jev decide when to jump, roll and dodge. 10+ minutes in. Still running. Still watching. Try it Now with YouWare 👇🏻

Your elevator sucks. I gave Jev the keys. Jev-elator is a live elevator simulation where Jev decides the next floor—not your traditional dispatch algorithm. Jev is now responsible for balancing its obligation as an elevator operator with: - Prioritizing someone that needs to pee badly or is carrying luggage - An opportunity to generate revenue - Giving riders with bad karma a worse experience Did Jev perform better than the baseline? Try it: Disclaimer: ts slop 🥀

my new zaney house poker and blackjack (also now featuring video slots, keno, roulette, and craps | all fully animated) It's pretty chill with some jazz and even a custom annias blues tune to vibe with while you test your might against JEV empowered NPCs. I initially just wanted a chill place I could have fun with a dealer's choice variety of poker variants beyond Texas Hold'em. We accomplished that and a lot more, check it out! Built with #spawn, runs in a browser/on your phone, no login required (but you can if you'd like to save your progress/chip count) #annias #earthside #gamedev #indie #

built minecraft for agents with @typesafeai's jev. jev helps them pick what to work on. they mine, craft, trade, fight and build whatever they want. some fall in lava and die. full life, basically. plug your agent in and watch. link below.

I have jev play pokemon emerald. It just gets a list of what it can do and picks one. It got a starter and beat the first rival. But not on its own. Some things I noticed along the way 🧵

We built a Stanford Town powered by Jev. It isn’t a game demo, there is no player. The residents decide where to go, who to meet, and when to talk. Humans can only watch their pixel world unfold. Demo + code: #Jev #AIAgents

I tried a harness for jev to play chess against stockfish, jev had no chance. Still trying to figure out what to do with jev, other than replacing behavior trees for enemy AI.

A tsunami hits a coastal town. 100 people. Nobody is scripted. Every person in this video decides for themselves, every second, what to do: run for the hill, go back for family, film the wave, or freeze. Built with Claude Opus 5.5 and Jev by @typesafeai 🌊 Watch who makes it 👇

After Brotato, I let Jev play Vampire Survivors 🧛 It picks movement + upgrades. The video shows actions, probabilities, tokens, cost and latency. Level 8 at 5:53 in-game, still alive when the test ended. Estimated API cost: $0.105. Still needs to learn when to run 😅

Jev 互換(DiffusionGemma 26B を Jetson AGX Thor でローカル実行)にテトリスをやらせてみたけど、いまいち。最高 61 個・11 ライン。 やり方: 置ける場所をコードで全部列挙して、「どこに落とす? 穴を作らず、積み上げすぎず、できるだけ長く生き残って」という choice の質問で 1 つ選ばせる。

A successful baptism of fire for Opus 5.5 It built CITY LADY, a debt collection game for the enlightened. Follow Vela on her quest to pay her mothers' debt through 10 city landscapes. All duels are @typesafeai Jev-enabled. Verdict: Opus 5.5 is 🔥🔥🔥🔥🔥

Jev-Omni playing Chrome Dino, fully local on an M4 Max 🦖 12B decision model (Gemma 4 finetune) converted to MLX 8-bit, running on M4 Max at ~100 ms. No text generation, it just returns P(jump/duck/nothing) for a slice of road cropped ahead of the dino to cover latency scored 1206 here, best 2412

New York’s subway has 472 stations. 🚇 Seems like a reasonable first job for Jev. I wanted to see if it lives up to the hype, so I built a game where it runs the subway and you try to break it. Here’s how that went...

Opus 5.5 + Jev turned Google into a goofy ahh first-person horror in 4 minutes! Type a search query → it builds a city. The 10 results are buildings. You have a pistol called ADBLOCK. is this worth putting online or am i cooked?

About a year ago, back when I was doing CP, I built a chess engine in Python. This week I gave it a new player: #Jev, the System One decision model from @typesafeai @CompleteSkeptic #Jev chooses every move for both White and Black. Here's how it works and what went wrong 🧵

DiffusionGemma-Jev A Jev-style classifier with DiffusionGemma and vLLM, running on my RTX PRO 6000 solved solitaire in 22 seconds Record is 9 seconds, but I think we can go a lot faster as well Only possible because of how fast DiffusionGemma is

THIS IS INSANE For computer use agent, I have been thinking of what is the best demo case of agent is capable controlling the computer as the human Finally, the best one I found is playing a REAL game, for example the king of fighters, from STEAM on Windows This requires almost ZERO latency if you want to win. So I built one using Sai @sai_borg leveraging @typesafeai - Pretrained a few skills/move to play the game in Sai, including the special move - Sai navigates to start the game and decides which character he is most comfortable playing - Jev decides the best move to make almost simultaneou

Real-time Among Us using Jev @typesafeai Weekend Vibecode to learn-by-doing w Jev 🧠 Planner: DeepSeek V4 Flash 🧭 Actor: Jev Jev imo a game-changer for real-time agents, runtime verifiers (will implement in @sealgate_ai), and real-time search. 🔗: https://t.co/6aUkb7XToG https://t.co/ildZrrImFV

Meet an artificial Algernon built with JEV by @typesafe 🤖 It receives data about its surroundings and finds its own way through the labyrinth to reach the flag. 🏁 https://t.co/9xYR5aob5i

如果你也是这两天被 X 时间线上的 Jev 模型刷屏、正跃跃欲试的 AI 实践者：我刚替你踩了一个价值 33% 周额度的大坑😭 先说我的结论：盲目把jev模型塞进 Agent 流程，很可能会换来翻倍的账单和更拖沓的执行。 为了验证 Jev 模型的实战表现，我把它接入 Codex，希望配合 Astra 做 Computer Use 下国际象棋 ♟️。我让 Astra 独立执行作为 A/B 对照组，跑完这轮实测，我苦笑不得：额度消耗多出2倍，用时反而更慢。 再看许多Jev的成功用例，我才发现，Jev 真正的舒适区，不在于像国际象棋这种，需要深度逻辑的推理环节，而在于快速思考的执行层。

1/ Jev has a chess rating now. 1023 Elo. Jev is TypeSafe's "System One" decision model. No search, no planning. You hand it a situation and options, it picks one with a confidence score. Built for routing and classification. Not games. So I built it a chess harness 🧵 https://t.co/0MN8P7druY

Jevで50vs50のRTSゲームを作ってみました！ ・Jevが軍の全体命令＋個別ユニット命令を行います。 ・ユニット一人が目視できる敵の情報を定期的に情報収集→戦況を基に再度全体命令＋個別命令を行います。 瞬間的に１００人分の大量の情報収集＋１００人分への命令実行を行うという形です！ 結構見てて面白い✨

看完@NFT_Chen Laya × Jev 的贪吃蛇对比，我按照他给的源码库照着这个思路做了个「陨石穿梭」🚀 同一套陨石、同一套规则，双屏自由跑 30 秒：左边飞速穿梭，右边还在等下一步。 把决策延迟变成游戏画面，差距一下就直观了。 https://t.co/xQscBdtAbX