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Core ConceptsSystem One model

System One

The class of AI models built to make fast, structured decisions software can use directly, named after Kahneman's fast-thinking System 1.

Category
Core Concepts
Also known as
System One model
Related terms
5
Directory entries
4
Docs
docs.typesafe.ai
Added
2026-09-24

Definition

A System One model understands natural-language input like an LLM, but returns typed decisions and probabilities rather than generated text. You define the possible answers through the Choice, Score, and Noul primitives, and the model never invents a value outside them.

The name comes from Daniel Kahneman's Thinking, Fast and Slow: System 1 thinking is fast and intuitive, System 2 slower and more deliberate. System One models emphasize fast, focused judgments inside a larger code-owned workflow.

Tagscorearchitecture

From the directory

The idea behind Jev: models that return typed decisions and probabilities instead of generated text, named after Kahneman's fast-thinking System 1, with confidence to route around uncertainty.
Sites & GuidesDocs#official#docs#architecture
Official
The canonical introduction: Jev is TypeSafe's flagship model and the first System One model. Send state and typed questions, get structured answers your code can use directly.
Sites & GuidesDocs#docs#official#primitives
Official
The launch story: why TypeSafe built decision models, the side-by-side demo, the Doom and Wikiracing bots, and the published workflow evals.
Sites & GuidesArticle#official#announcement#benchmarks
Official
TypeSafe AI's official launch post: the company is out of stealth and developers can get access to Jev from the website, alongside the founder's launch thread.
Sites & GuidesPost#official#x#launch
Official

From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

WTF is Jev, and 9 things people are building

TL;DR of my new article: WTF is Jev by @typesafeai, and the 9 things people are already building with it. The thesis: 𝗮 𝗰𝗼-𝗰𝗿𝗲𝗮𝘁𝗼𝗿 𝗼𝗳 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝘀𝗽𝗲𝗻𝘁 𝘁𝘄𝗼 𝘆𝗲𝗮𝗿𝘀 𝗶𝗻 𝘀𝘁𝗲𝗮𝗹𝘁𝗵 𝗼𝗻 𝗮 𝗺𝗼𝗱𝗲𝗹 𝘁𝗵𝗮𝘁 𝗰𝗮𝗻𝗻𝗼𝘁 𝘄𝗿𝗶𝘁𝗲 𝗮 Show more

Matt Van Horn
Matt Van Horn
@mvanhorn

x.com/i/article/2100…

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Voice-controlled computer use on a Mac

The use cases Jev unlocks

19 open-source Jev projects

一个只会做选择题的小模型,能长出多少玩法? TypeSafe 的 Jev 就是这么个东西:给它最多 255 个选项,几百毫秒挑一个,再附一个校准过的置信度,输出 token 免费 结果开发者们已经拿它做出了 19 个开源项目,加起来 6800 多星 挑几个最有意思的 jev-ultrafast,browser-use 出品,2700 星,一句 Show more

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Jev Calc: a notebook that calculates anything

Day-one notes from a skeptic, in Chinese

一些关于 Jev (@typesafeai) 的 notes 研究了一天 Jev,带来的新鲜感迅速回落,这好像就是一个更快的通用分类器/决策器,LLM 完全可以做到。 而且因为不了解模型背后的参数规模(应该不会很大),世界知识可能不一定有常规 LLM Show more

Diogo Almeida
Diogo Almeida
TypeSafe AI
@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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