Harness: I made Jev control the player, has access to WASD, space, click, and mouse movements. Astra is the planner that sends instructions to Jev async. Learning: Each time the agent would fail, Astra would add skills as mjs files, that it can draw upon in different scenarios, Show more
CommunityDemos & Experiments
Jev plays 2048
A live 2048 board on an independent Jev site. Each move is one Choice over the four directions, with a decision counter, latency, and a running cost.
- Category
- Demos & Experiments
- Format
- Playground
- Published by
- Community
- Author
- —
- Added
- 2026-09-28
- Last verified
- 2026-09-28
Highlights
- Press play and every move is one Choice: up, down, left, or right. There is no separate policy model.
- The page quotes about 120 decisions a game, about 200 ms each, and well under one cent.
- The sample client posts the board and score to jevtypesafeai.com/api/v1/decide and plays answers.move.choice.
- The live panel shows decisions, last latency, Jev cost, score, and best tile.
Quickstart
ts
const res = await fetch("https://jevtypesafeai.com/api/v1/decide", {
method: "POST",
headers: { Authorization: `Bearer ${process.env.JEV_API_KEY}` },
body: JSON.stringify({
state: board,
questions: {
move: {
type: "choice",
instructions: "Best move for this board?",
criteria: { up: "slide up", down: "slide down", left: "slide left", right: "slide right" },
},
},
}),
});Watch out
Independent playground, not TypeSafe. The sample calls their /api/v1/decide proxy. The ~120-move and cost figures are the site's own estimates. Distinct from the ARCJ137442/jev-2048 repo.
Reactions & coverage
Posts, threads, and videos about this entry from around the web.
Hacker News: Show HN: a mouse colony where each next move is Jev or a fixed rule.
1 pointShow HN: Jev-mice – mouse colony simulation using Jev and deterministic engineRead the thread on Hacker NewsHacker News: Show HN: OpenDecision, a local decision model with a Doom demo.
dwa35926 pointsShow HN: OpenDecision – a 400M zero-shot model makes local decisions, plays DoomRead the thread on Hacker NewsX: Jev plus Astra beats the Ender Dragon for under a dollar
X: Jev plays Pokémon Showdown
1/8 Saw Jev from @typesafeai on my feed, so I made it play Pokemon Showdown. Codex built the harness. It was damn fast. Its choices were a mixed bag. Full match, video 1/2. This is a saved replay with decision data, latency and added reading pauses.
More like this
A live Tetris board where each piece is one Jev Choice over the legal placements, with latency and cost shown as the pieces drop.
Demos & ExperimentsPlayground#community#games#playground
Community
A Wikipedia race you play against Jev. From the same start article, each hop is one Choice over that page's outbound links.
Demos & ExperimentsPlayground#community#games#playground
Community
Sixteen true-or-false statements you answer, then Jev answers with a Noul probability. Keeping only its confident calls is the point of the game.
Demos & ExperimentsPlayground#community#games#playground
Community
From the community
Posts from builders shipping with Jev right now.
Six uses that stuck after 60 days
I've been using Jev by @typesafeai Here's the six things i've tried and am confident I'll still use Jev for 60 days from now. There's many more experiments, ideas, and things I think I will use it for. It's a big deal (more on why in next post). But I am only sharing things Show more
Security decisions that fit Jev
This made me rethink where AI actually fits into security engineering. For purely engineering work, forget about ChatGPT or Claude. TypeSafe AI just released Jev, and I think it’s going to change how we build AI into security workflows. Instead of asking an LLM to “investigate Show more
we are officially out of stealth! join the frontier and get access to Jev on our website (link on profile)
A million judged questions
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
Inferring Jev's internals from 1,000 calls
Jevの内部アーキテクチャを推測している技術記事(Jev’s Architecture Unmasked)からメモ。 ・本記事はJevのAPIを約1万回の呼び出して、内部構造を推測したもの ・従来の言語モデルを用いた分類やルーティングでは、トークンを1文字ずつ逐次生成するために膨大な無駄な計算コストが発生していた。 Show more
The open System One roundup
Jev 发布没几天，开源社区已经开始疯狂复刻了🔥 最值得推荐的五个模型： 1、Laya 421M：原生决策模型，支持 Mac 2、Decider-2B：最像 Jev，基于 Qwen3.5 3、NanoJev 0.6B：专门的 Decision Head 4、Reflex：Qwen3.5 + Direct Logits 5、System-One 4B：专门做概率校准 Show more
Jev 刚发布没几天，开源社区就出现了同款🔥 Decider-2B模型，是基于 Qwen3.5-2B 做了特殊调整 它和 Jev 模型是一样的 只做选择 评分和判断 不是文本类的 LLM 模型 但两者还是有几个明显区别： 1、模型 Jev：闭源 System One Model Decider：Qwen3.5-2B，约 1.9B 参数，Apache 2.0 开源 2、价格
Jev lands on the Vercel AI Gateway
Jev is now available on the @vercel AI Gateway vercel.com/ai-gateway/mod…