JevTracks

Submit your tool

JevTracks explains

What is Jev?

The model behind every build on this leaderboard: how it works, what it costs, and what people are actually saying about it.

"x200 faster, x400 cheaper, 0 hallucination, no human in the loop — that's JEV, this is how LLMs will look like."

— Diogo Almeida, TypeSafe AI founder (ex-OpenAI)

Not another chatbot

Jev is TypeSafe AI's first "System One model," a different category from the LLMs you're used to.

Most AI models generate text, one token at a time, for a person to read. Jev doesn't write sentences. It takes a block of state (a string, a JSON object, a list of options) and returns a typed decision: a choice, a score, or a probability, each with a calibrated confidence attached, in one parallel pass rather than an autoregressive token stream.

It's named after the Jevons paradox (1865), the idea that as something gets more efficient, people use more of it, not less. "System One" nods to Kahneman's fast, intuitive mode of thinking, as opposed to the slow, deliberate reasoning LLMs do.

Three ways to ask it something

Every Jev request is one of three primitives.

Choice

Which option?

Selects the best option from a fixed set, e.g. "which category does this belong to?"

Score

Where on the scale?

Returns a graded value for how well the state matches a given standard.

Noul

Is it true? 0 to 1

A probability answer to a yes/no question: is this real, is this eligible, is this true.

Ticket

"Stripe won't connect for 3 days. Losing sales. Help ASAP."

department ▷billing · 0.84
confidence ▷0.596
is_urgent ▷0.999
This is exactly what runs under JevTracks itself: every hour, Jev Noul decides whether a new post or repo is a genuine Jev build, and Jev Choice sorts it into one of 18 categories, before anything gets published on the leaderboard.

Speed, cost, and accuracy

Cost per case, from TypeSafe's own workflow evals: same classification task, five models.

Opus 5$0.1761
Sonnet 5$0.1174
Terra$0.0304
Haiku 4.5$0.0195
Jev$0.0004

Jev's accuracy (67.8%) matches Sonnet 5's, in 0.4s against Sonnet 5's 78.1s.

$0.042per 1M input tokens · output free
250k/stokens/sec · 1,200 req/min
64ktokens of context per request
255max options per Choice call

Watch it in action

TypeSafe AI hasn't published its own YouTube channel. These are the most-watched independent walkthroughs since launch.

YouTube

Jev: 8 Wild Things People Already Built With TypeSafe's New AI Model

YouTube

Full Jev (TypeSafe AI) Intro + 50 Use Cases

YouTube

Jev AI Is INSANE… 193× Faster Than LLMs?!

YouTube

Livestream Coding With the New TypeSafe AI Jev Model

@0xCodez · shares Diogo Almeida's 36-min tech talk

"Jev Founder, Diogo Almeida (ex-OpenAI): 'The next era is not the Claude Code or Codex era, they are still part of the assistance era with a human in the loop — JEV is what comes next for LLMs.'"

watch on x.com

Real brand, real docs

TypeSafe AI's own identity, no invented logo here.

What people are saying

Real posts from X, since the Sept 15 launch.

Diogo Almeida @CompleteSkeptic · TypeSafe AI founder

Explaining why Jev is named after the Jevons paradox: models that are good at talking and bad at deciding.

x.com/CompleteSkeptic
Nathan Flurry @NathanFlurry

hype-free explanation of jev: jev does not replace gpt / claude. jev is just a *really* smart switch statement.

x.com/NathanFlurry
Akshay @akshay_pachaar

LLMs vs. Jev, clearly explained! The key difference is not that Jev generates faster. Jev does not generate text at all.

x.com/akshay_pachaar
darkzodchi @zodchiii

Quoting the founder: "I believe JEV is the biggest breakthrough we've ever worked on, this sounds too good to be true but it's beating existing benchmarks."

x.com/zodchiii

Copy, benchmarks and quotes sourced from typesafe.ai and docs.typesafe.ai, plus the linked public X posts. Nothing on this page is invented. JevTracks is an unofficial community project and isn't operated by TypeSafe AI.

See what developers have actually shipped with it.

Explore the leaderboard