Should I treat this list as documentation or as a map?

Start with the official site and quickstart for the /v1/systemone shape and primitives, then use the list for providers, SDKs, and evaluations; the repo notes TypeSafe had published no formal paper.

Which entries carry independent measurements I can trust?

Yes where marked: the maintainer flags entries carrying their own measured latency and billing numbers from hundreds of real API calls, versus links that only repeat vendor claims.

How do I pick a client SDK from the projects section?

The list covers typed clients in Ruby, Rust, .NET, Java, and CLIs with per-status errors and immutable answer types; match the language and check whether the SDK is published and maintained.

What is actually inside beyond a pile of links?

It separates models and API notes, code projects, benchmark tables, demos, videos, guides, and news, so use the contents index and read each target repo before depending on it.

Who maintains this list, and what do the measured markers mean?

It is maintained by RoboKrunch, which benchmarks Chinese edge-AI hardware and runs its own Jev measurements; entries carrying its own measured latency, cost and billing numbers from 300 real API calls are flagged with a chart marker, distinct from links that only repeat vendor claims.

Is there an official paper or release date to plan around?

No formal paper existed as of 2026-09-23, and the list says one would go to the top if it appeared. Jev went generally available on 2026-09-21 with no waitlist and $5 starter credits worth roughly 120M tokens, with Vercel, Cloudflare, LangChain and Langfuse named as early adopters.

What pricing, option limits and latency does the list report?

$0.042 per million input tokens with output free, choice questions supporting up to 255 options, and TypeSafe's quoted 70-500ms latency envelope. It also notes independent testers measuring p50 around 0.2-0.8s depending on the task and route.

CommunityJev Guides & Articles

Awesome Jev — robokrunch

Curated link collection for Jev covering official docs and providers, client SDKs, benchmarks, demos, tutorials, news, papers, and community threads.

See highlights

Open github.com

Stars: 3
License: CC0-1.0
Published by: Community
Author: robokrunch
Last verified: Oct 2026

robokrunch/awesome-jev

Organization repository on GitHub

View on GitHub

A curated list of resources for Jev — TypeSafe AI's System One decision model. Maintained by RoboKrunch.

Forks: 3
Last pushed: Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.Homepage

This is one of several Jev listings for the same project. The canonical entry is Awesome Jev — yibie.

About this project

A curated list of resources for Jev — TypeSafe AI's "System One" model that returns typed, calibrated decisions instead of text.

Quoted from the project's README. Read the full README.

Tagscommunity github

Works forJev for Classification

Used inJev for Software & DevTools

Highlights

Organizes official endpoints, announcements, and third-party provider pages with pricing and context notes.
Documents the native decisions API with choice, noul, and score primitives plus latency and pricing envelopes.
Catalogs community SDKs, CLIs, and decision prototypes with language, license, and verification notes.
Collects benchmarks, demos, videos, tutorials, articles, papers, and community links in one index.

Watch out

Listings mix official docs with community projects whose claims are self-reported, so follow each link for its own evidence. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

More Jev resources like this

awesome-jev

Curated link collection of Jev projects across SDKs, integrations, agent tooling, apps, games, and benchmarks, grouped by section with official docs first.