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
Made with Jev
A use-case directory of 473 Jev builds, 107 guides, and 8 use cases where each entry links to its source and shows the cost and speed its author reported, with category filters and free tools.
- Category
- Sites & Guides
- Published by
- Community
- Author
- —
- Added
- 2026-09-22
Tagscommunitydirectoryuse-casespricing
Highlights
- Indexes 473 builds, 107 guides, and 8 use cases, updated September 22, 2026, each linking to its source.
- Entries show author-reported numbers: a Zillow search over thousands of listings in under 20 seconds for $0.18.
- A Browser Use flight search is listed at about 7 seconds and roughly $0.004; a browser extension hides X posts in plain language.
- Categories span agents and browsers (82), games and real time (51), triage and routing (28), research and data (78), and more.
- Filters split entries by type: GitHub 272, X posts 236, resources 107, YouTube 31, Jev Engineering 15, skills 11, and sites 10.
Watch out
Numbers are author-reported and self-published, as the directory itself states, so they are claims to check against each linked source rather than independent measurements.
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From the community
Posts from builders shipping with Jev right now.
A million judged questions
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
The launch post
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 Show more
Trading bot, one decision per block
I built a trading bot with Jev! Jev decides if it should "buy" or "sell", given the price feed of an asset pair, and executes real trades. It uses Monad to place the orders on Kuru's on-chain order book in every 300ms block. Demo link → jev-trader.vercel.app
Classifying 1,500 real emails
this model is actually insane at email classification i tested it on 1500 of my own emails to see how well it works and I am blown away
@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