CommunityJev Guides & Articles
Jev wiki
An independent wiki on TypeSafe's System One model: primitives, pricing, latency bands, console playground links, and ecosystem pointers.
- Format
- Docs
- Published by
- Community
- Last verified
- Oct 2026
Works forJev for Classification
Used inJev for Software & DevTools
Highlights
- Homepage restates 64k context, $0.042 per million input tokens, free output, and jev-1.13.0 as the pinned card.
- Walkthrough sends readers to console.typesafe.ai/playground then POST /v1/systemone or TypeSafeClient.system_one.
- Notes customer data is not used to train Jev and that the same weights serve every account.
Watch out
Third-party site, not TypeSafe documentation. Figures track the launch card and may lag vendor updates.
Questions about this entry
Short answers drawn from the linked project or page.
No, and the entry copy says so. It is a third-party site, not vendor documentation, whose figures track the launch card and may lag vendor updates. Useful as a map, but resolve anything load-bearing against the official docs.
The entry copy records the homepage restating 64k context, $0.042 per million input tokens, and free output, with jev-1.13.0 as the pinned card. Note the caveat: those figures track the launch card, so recheck against current pricing before sizing a workload.
Partly, and it is the most useful part. The entry copy documents a jaggedness-modes page, a 255-option cap on a single Choice, a pattern of scoring first then choosing from a shortlist when a catalog is too large, and guidance to read confidence before any automatic side effect.
Yes, and that path is the entry's strongest claim: paste a ticket into the console playground, add a Noul for urgency and a Choice for the owning team, then the same map becomes a POST to /v1/systemone or a TypeSafeClient.system_one call. Still third-party guidance.
Its navigation lists System One Models, Primitives, State, Confidence, API, Jaggedness, Patterns and Demos, and it is available in many languages including English, French, Spanish, Polish, Turkish, Russian, Ukrainian, Japanese, Korean, Chinese and Thai.
Wikiracing chooses the next Wikipedia link toward a target page, where cardinality runs from hundreds to thousands of links. Because a single Choice only accepts 255 options, the demo scores first and then chooses among a shortlist, a two-stage pattern for catalogs larger than the Choice cap.
The launch post's Doom demo feeds a text description of the game state, not the framebuffer. At about 10 queries per second the cost lands around $7 per hour on the published input price with output free, which the wiki calls a demo figure rather than a required production QPS.
Reactions & coverage
Posts, threads, and videos about this entry from around the web.
Hacker News: Simon Willison's overview of Noul, Choice, and Score, and where a decision model fits.
benwerd53 pointsJev introduces a new shape of LLMRead the thread on Hacker NewsHacker News: swyx posts the Latent Space interview with Diogo Almeida.
swyx4 pointsJev: System One Models for Prod, Not God – With Diogo Almeida, CEO, TypeSafe AIRead the thread on Hacker NewsX: Diogo Almeida in five minutes
X: LLMs vs. Jev, clearly explained
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From the Jev community
Posts from builders shipping with Jev right now.