Jev by @typesafeai is now on OpenRouter, in beta. Jev is a System One model. Instead of generating text, it takes your app's state plus a typed question and returns a typed decision with a probability attached. There is no JSON prompting, parsing layer, and nothing to validate Show more
Awesome Jev by TypeSafe
An evidence-backed community collection of Jev use cases, patterns, prompts, and starter code, with quick facts sourced to TypeSafe docs and runnable Python and TypeScript quickstart examples.
- Category
- Sites & Guides
- Published by
- Community
- Author
- Anil-matcha
- Added
- 2026-09-22
Tagscommunityawesome-listtutorialpythontypescript
Highlights
- Maps needs to primitives: Choice for picking from a known set, Score for ordered rubrics, Noul for true conditions, and code for thresholds and side effects.
- Its quick facts table cites the jev-latest alias, jev-1.13.0, POST /v1/systemone, and limits of 250,000 tokens per second and 1,200 requests per minute.
- Quick starts install typesafe-sdk or @typesafe-ai/sdk and run examples/python/quickstart.py or examples/typescript/quickstart.ts.
- Describes map-reduce document workflows: split in code, evaluate many independent questions in one request, and aggregate deterministically.
- Submission rules require public source, a license, evidence linking to the Jev API calls, and disclosure of any affiliation.
Quickstart
bash
python -m pip install typesafe-sdk
python examples/python/quickstart.py
npm install @typesafe-ai/sdk
npx tsx examples/typescript/quickstart.tsWatch out
MIT-licensed and an independent community collection, not an official TypeSafe repository. It is a snapshot reviewed September 19, 2026, and product behavior, prices, limits, and model aliases can change.
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From the community
Posts from builders shipping with Jev right now.
Jev lands on OpenRouter
700 leads scored for $0.09
JEV is INSANE. We gave it 700 high-intent leads and personalised outreach messages. In 40 seconds, it predicted how each message would perform, assigned a confidence score and detected lead-message mismatches. All for just $0.09. JEV can also score leads, analyse buying Show more
Beating Gemini Flash Lite on an eval
Ran @typesafeai's Jev against an existing classifier eval that previously used Gemini 2.5 Flash Lite. It won both on quality (saturated the eval) and speed (6x)
Browser Use Ultrafast, powered by Jev
Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓
A really smart switch statement
hype-free explanation of jev: jev does not replace gpt / claude jev is just a *really* smart switch statement like if 2016 ml classifiers got 2026 levels of intelligence it's a new* type of tool that will make a lot of workloads insanely fast, cheap, and accurate * = and by Show more
@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
When a designer gets Jev
when a designer gets access to Jev