Questions

Short answers from stories already on this desk. Figures are claims from the people who published them unless a third party ran the same test. Start is a reading order.

What is Jev?

TypeSafe AI's first System One model, announced September 15, 2026. Software sends unstructured state plus typed questions. The model returns a Choice, a Score, or a Noul with probabilities. What Jev returns is the explainer. The launch story is Almeida's thread and TypeSafe's workflow table.

What comes back from a call?

TypeSafe's primitives page lists three. Choice picks among up to 255 named options and returns a distribution. Score returns a number on a rubric you define. Noul is a yes/no and returns a probability between 0 and 1 without a separate confidence field. Several questions can share one request. TypeSafe says sampling is parallel and cites 70 to 500 ms. The model does not generate text. If the job needs a string, callers still use a language model.

Where can I send a request?

Access lists the public doors this desk has already cited: TypeSafe's API, Vercel AI Gateway, Cloudflare Workers AI, Netlify, OpenRouter, Venice, and LiteLLM. TypeSafe posted on September 20 that Jev is open with no waitlist, and that new accounts start with $5 of credit. Gateway quotas are not the same as a console key. Jevflake is a community dbt package that calls TypeSafe from Snowflake SQL. duckdb-jev is a native DuckDB extension over the same API. prompt_jev() is MotherDuck's hosted function on paid plans. Vercel's form router is a Next.js template on AI Gateway: Jev at confidence 0.95, Luna Fast below that. jsort is a command-line ranker over a TypeSafe key or OpenRouter. jevctl is a shell CLI over those same doors. n8n-nodes-jev-classification is a self-hosted community node with a Needs Review branch. On September 21 TypeSafe posted API and console issues, then We are back; the status incident is marked resolved at 08:16 UTC. On September 22 the same account paused new signups and said existing signups continue. The post does not say when they reopen. We did not send a request to any of those endpoints.

What does TypeSafe publish as the price?

The models page lists jev-1.13.0 at $0.042 per million input tokens, free output, 1,200 requests per minute, 64k for the whole request and 32k for state plus the longest question. Vercel's model card listed input and output as Free until promotional pricing ends September 25, 2026. Other hosts publish their own rates, which can go stale.

Who ran the speed and accuracy tests?

Evals collects the measurements already in the stories, with the caveat that came with each one. TypeSafe's workflow table is vendor-reported. Independent write-ups are author-run. JevBench is a 534-decision suite with a four-axis composite; Luna wins the hard items there and loses the score on price. DocJev put Jev and Luna on 40 PDFs and eight packets of the same LiteParse text. RZ's security demo put Jev next to Terra and Opus on 100 synthetic cases. jevsearch published Hit@1 on 41 labelled TypeSafe-docs queries. Open-Jev published correct counts on 231 public JevBench tasks: 9B 179, Jev 200, Luna 206, Astra 231. jsort published Pearson r 0.824 on 300 CommonLit excerpts. MotherDuck published 89% on 100,000 AG News training rows. jev-gateway published token medians from 120 chess-agent sessions. AgentOS published a 121-turn routing chart, Jev at 0.901 against a local classifier at 0.355. laya-mlx published on-device latencies for Laya's weights, 13.42 ms and 7.39 ms on an M3 Max. Decider 1 published 0.768 against Jev at 0.727 on teacher-average labels. dejevu published a 5.63 second Flights run beside jev-ultrafast's published 7.09 seconds. A private banking feed published Jev at 36.1% on 612 rows. We did not rerun them. Compare puts similar tests next to each other. Limits is where those tests, and TypeSafe's own list, say the model fails.

What is TypeSafe's rule on publishing benchmarks?

The Master Customer Agreement section 2.3(f) forbids customers from publishing benchmarks or performance information about the Services. Several stories report numbers people posted anyway. We did not ask TypeSafe whether those posts are permitted. See method.

Are Jev's weights public?

Jev's weights are not public. SemIf, Laya, Nimble, jeff, LocalJev, Verdict, Kev, djev, SimpleJev, and llamacpp-jev are community stand-ins with their own evals. laya-mlx is an MLX port of Laya's published checkpoints, not a release of Jev's weights. SemIf's Qwen3.5-4B row on JevBench is 74.7 against Jev 75.4. djev is 74.3. Laya is 70.1. SimpleJev Qwen3.8-27B is 67.3. Open-Jev's released 9B checkpoint is 179/231 on the public JevBench tasks, against Jev at 200/231 on that same slice. None is a TypeSafe weight release. Repos groups those projects.

What is this site?

An unofficial English digest. Stories are rewritten from public posts on X and the pages those posts cite. Original URLs sit at the bottom of each article. This site is not affiliated with TypeSafe AI. About and method are the longer version of those rules.