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CommunityCookbooks & Demos3 starsVerified 2026-09-22

Soupbase

A Chinese and English lateral-thinking puzzle site hosted by Jev: Choice questions classify player questions and check proposed solutions against required facts, while code enforces confidence thresholds before a puzzle is marked solved.

Category
Cookbooks & Demos
Published by
Community
Author
spoonnotfound
Added
2026-09-22
Tagscommunitytypescriptgamesvercelpostgres

Highlights

  • Jev answers with four host verdicts - yes, no, not important, and cannot judge yet - and the site shows the model's native confidence.
  • Calls go through the Vercel AI Gateway as typesafe-ai/jev, and results return structured options, probabilities, and confidence.
  • Ships 50 stories in both Chinese and English, 100 JSON files: 14 beginner, 25 standard, and 11 advanced puzzles.
  • Supports BYOK, a deployment-provided key, or both via AI_ACCESS_MODE, and web-created puzzles stay private with revocable share links.
  • Tests use an isolated database and simulated models, need no real key, and cover access control, share revocation, version pinning, and credential isolation.

Quickstart

bash
npm ci
cp .env.example .env.local
npm run content:sync
npm run dev   # open http://localhost:3000/zh

Watch out

MIT-licensed code, but 3 original examples are CC0 and 47 adapted stories plus translations are CC BY-SA 4.0 while user creations are not covered; needs Node.js 24 and npm, and BYOK keys pass through the deployer's server.

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From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

Fast browser use with Stagehand

we built blazing fast computer/browser use with Jev + @Stagehanddev. this task cost $0.001 and executed at near instant speed (in a remote browser btw) the loop: observe the page, send a11y tree as state + actions as questions, Jev decides the next action, then Stagehand 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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LLM-as-a-judge, sped up

Jev has spoken. It picked which model is AGI. 20–200x faster. 40–400x cheaper. This could make things like LLM-as-a-judge insanely fast and nearly free. (I tried a bunch of prompts and still didn’t burn through $0.10.)

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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

Reply

Instant compaction with Jev

A Claude session from 1M to 86K tokens

This is actually insane. This uses @typesafeai Jev model, as a plugin in Claude to review all the un-nesseasary tool calls, and it takes 1s to run! Like, literally, 1 second to take my Claude session from nearly 1M to ... 86K tokens! 😮 Ask your claude to install it and be  Show more

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tamara
tamara
@tamarajtran

found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant

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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