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Jev by use case

Scoring

11 curated entries. Rate content on ordered levels and combine judgments into composite scores.

By format

  • Repos & sites7
  • Videos1
  • Articles1
  • Playgrounds2

11 resources

702GitHub stars
A local daemon that pulls open decision models and serves them on TypeSafe's /v1/systemone, so a Jev client switches hosts with TYPESAFE_BASE_URL.
Models & Reimplementations#community#rust#open-models
689GitHub stars
A local server that reads next-token probabilities from a fine-tuned Spark model and returns Choice, Score, and Noul answers with zero generated tokens.
Models & Reimplementations#community#python#open-models
520GitHub stars
A Node and TypeScript package that runs Convai's Laya checkpoint through ONNX Runtime, with the same system_one shape as the Python reference.
Repos & SDKs#community#typescript#open-models
39GitHub stars
A local /v1/systemone server that reads label probabilities from a GGUF chat model, with prompt repetition and a confidence shrink toward uniform.
Models & Reimplementations#community#python#open-models
27GitHub stars
Five typed tools — classify, check, score, rank, and ask — plus a skill, wired into Claude Code, Codex, Pi, and OpenCode in one setup command.
Agents & MCP#community#typescript#mcp
A Java gateway that asks Jev four questions about a deposit or withdrawal, then applies a direction-aware routing matrix in code.
Tools & CLIs#community#java#security
A sentiment study of whether Jev's stated confidence matches accuracy, comparing raw scores with Platt scaling and isotonic regression.
Benchmarks & Evaluations#community#python#evaluation
An independent browser playground that runs TypeSafe Jev on one question or several, with ready examples for routing, refunds, urgency, and the next agent action.
Demos & ExperimentsPlayground#community#playground#tutorial
Community
Sixteen true-or-false statements you answer, then Jev answers with a Noul probability. Keeping only its confident calls is the point of the game.
Demos & ExperimentsPlayground#community#games#playground
Community
Datadog's walkthrough of one Jev rubric that scores every criterion in a single request, then runs as online evals on live spans and as offline experiments.
Guides & ArticlesArticle#community#article#evaluation
Community
Codevolution's walkthrough of state, questions, and answers, then a customer-message demo in the TypeSafe playground and the TypeScript SDK.
Guides & ArticlesVideo#community#video#tutorial
Community

Articles

Original guides that go deeper on scoring.

All articles
A base URL is the whole client change. What still works when Ollaya, Lichen, verdict, Rizzo Flow, or jevos answers POST /v1/systemone on your machine.
Models & Reimplementations#open-models#local#api
Read article
Jev labels a record that already exists. Code moves, flags, or holds it. How the document, mail, and transfer tools keep the action out of the model.
Tools & CLIs#classification#email#security
Read article

Watch: Jev in action

Video walkthroughs and demos from the community.

YouTube: A podcast segment on TypeSafe AI, its $40M raise, and the Jevons paradox behind the name.

YouTube: Gary Explains the catch: Jev understands natural language but answers with structured values and confidence.

YouTube: Sam Witteveen on System 1 thinking, then Choice, Score, and Noul demos, and chained actions.

Discussions

Threads from Reddit and Hacker News about building with Jev.

Hacker News: Vercel on using Jev for defined decisions and GPT-6 Astra when the job also has to write or use tools.

flashbrew4 pointsTypeSafe AI Jev vs. GPT-6 AstraRead the thread on Hacker News

Reddit: A skeptical read of the calibration claim: no ECE or reliability curves published.

From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

Vercel's fx safety reviewer, 18x faster

We're seeing extraordinary results from @typesafeai. Default mode in 𝚏𝚡 is auto, with a safety reviewer analyzing every command. That reviewer runs on GPT Luna today. Jev is up to 18x faster (p95) *and* more accurate. It's coming to @vercel AI Gateway and likely new default.

Pranit
Pranit
Vercel
@fazxes

We benchmarked fx auto mode (safety) classifier with @typesafeai's Jev. tl;dr: ~5-18x faster and more accurate than 𝚐𝚙𝚝-𝟻.𝟼-𝚕𝚞𝚗𝚊, our current top choice

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Jev lands on OpenRouter

700 leads scored for $0.09

Beating Gemini Flash Lite on an eval

Browser Use Ultrafast, powered by Jev

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

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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