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.
CommunityCookbooks & Demos
JEV ARCADE
Two browser games against a live Jev opponent: a first-person quick-scope arena and a neon survival challenge, where Jev picks tactics and authored code handles movement and physics.
- Category
- Cookbooks & Demos
- Format
- Playground
- Published by
- Community
- Author
- —
- Added
- 2026-09-25
- Last verified
- 2026-09-25
Highlights
- Rustline is first to three rounds at 100 HP with a five-round bolt-action and four difficulty modes.
- Jev chooses from legal tactics; if no fresh reply arrives in four seconds, combat and the clock freeze.
- Neon Gauntlet asks you to survive 90 seconds, grazing eight bullets to charge a Pulse.
- The page claims no key lives in the browser and no silent AI fallback when Jev is unreachable.
Watch out
No author, repository, or cost details are published, and all copy lives inside the compiled app bundle.
Reactions & coverage
Posts, threads, and videos about this entry from around the web.
X: Jev plays Pokémon Showdown
X: Jev plays Puyo Puyo with real-time board questions
Jev にぷよぷよをさせてみた。 - 実行エンジンは github.com/puyoai/puyoai 。ゲームはリアルタイムで進行 - 盤面とそれぞれのポジションにおいたあとの結果を与え、①今どのフェーズか ②フェーズごとに、戦略からどの結果がベストか の1+3つの質問をして、選択肢を選ぶ 画像は Random Show more
X: Jev plays Smash Bros. against itself
jev is insane 🤯 here is jev playing smash bros against itself he is controlling all 4 different characters. and literally deciding whats the best move to play against itself all within a fraction of a second i used over 22 million tokens to play this match and it only cost Show more
X: Game levels generated in real time
Jev can generate game levels in real time. Faster and cheaper structured output could be a big deal for game dev!
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Four board games against Jev where the model picks the move and code keeps the rules: tic-tac-toe, Connect Four, Battleship, and Wordle.
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An autonomous Pac-Man recreation steered by Jev: before each junction the game sends the maze, actors, and legal directions as structured data, and Jev returns one direction with a probability per option.
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A playable Tetris where you can drop pieces yourself or let the TypeSafe Choice primitive pick every move.
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From the community
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Vercel ships the AI SDK provider for Jev
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@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
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I just open sourced Foreman: a software factory foreman built with @typesafeai's Jev. Coding agents work the factory floor. Foreman watches them, continuously assessing progress, completeness, tests, drift, and verification, and intervenes when needed. GitHub: Show more
Unclutter: an ad and slop blocker that runs on Jev
introducing Unclutter: a smart ad + slop blocker with Jev 🤓 it auto cleans up pages from slop elements: ⬖ ads ⬖ cookie banners ⬖ upsells ⬖ bs dialogs BYOK. open source + free, download below 👇
An open-source BS meter for debates and investor calls
🚨 Open Source Jev BS meter you can use this to analyze any debate / investor call / interview / sales pitch / podcast video fact check live , for example this dario interview cost 60 Jev calls / 111K tokens / $0.0047 github.com/ChetasLua/jevm…
🚨 I gave the Trump vs Kamala debate a live BS meter using Jev every sentence, both candidates, 5 yes/no questions each 1,191 Jev calls / 1.18M tokens / 415 ms median total cost : $0.0497 same questions for both, clips picked by one fixed rule, not a fact-check
A Jev-shaped model on Cerebras and Qwen
Built an alternative version of @typesafeai but on @cerebras with Qwen 3.8 27b. Similar quality, similar performance, but vastly different cost. TypeSafe was way cheaper, and did beat Qwen on performance. Closest we can get using LLMs I think. Source: github.com/iammrduncan/ty…
@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x