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Ecosystem

System One adapter

The official drop-in TypeSafeClient replacement backed by OpenAI, Anthropic, and compatible LLM APIs.

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Ecosystem
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3
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1
Docs
github.com
Added
2026-09-24

Definition

The Python adapter answers the same typed questions using a chat model instead of Jev, so the same workflow can be run against both and compared on the same inputs. It is the recommended way to A/B a decision pipeline before committing to it.

The comparison it enables is the practical version of the docs' argument: structured workflows tend to be more accurate, cheaper, and faster than asking the same policy as a single prompt, whichever model answers.

Tagssdkevaluation

From the directory

Official drop-in TypeSafeClient replacement backed by OpenAI, Anthropic, and compatible LLM APIs, for comparing Jev against chat models on the same questions.
Repos & SDKs#official#adapter#python

From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

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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