Currently there are 3 ways to use Jev: 1.

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Listed three ways to access Jev (waitlist, OpenRouter, Vercel AI Gateway) and named candidate ranking, relevance scoring, moderation, and risk screening as fits.

The original post, translated

Currently there are 3 ways to use Jev: 1. Join the waitlist on the official website https:// typesafe.ai 2. openrouter https:// openrouter.ai/typesafe/jev-1 .13#playground … 3. Vercel's AI Gateway https:// vercel.com/changelog/type safe-ai-jev-now-available-on-ai-gateway … Jev input $0.042/M, output free. Jev is suitable for high-frequency, clearly bounded judgments, such as candidate ranking, relevance scoring, content moderation, and initial risk control screening.

Show the original post in its source language ▾

目前能用上Jev的3个途径: 1. 官网加入候选名单 https:// typesafe.ai 2. openrouter https:// openrouter.ai/typesafe/jev-1 .13#playground … 3. Vercel 的 AI Gateway https:// vercel.com/changelog/type safe-ai-jev-now-available-on-ai-gateway … Jev输入 $0.042/M,输出免费。 Jev适合做高频、边界清楚的判断,比如候选排序、相关性打分、内容审核、风控初筛。

The post above is a machine translation from zh; the untranslated text is in the fold-out.

Engagement when collected

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under general Jev builds. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Browse the full case library for the work it sits next to.

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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post