Ran @typesafeai's Jev against an existing classifier eval that previously used Gemini 2.5 Flash Lite. It won both on quality (saturated the eval) and speed (6x)
Jevtown
A social network where 10,000 computed personas read your post: Jev scores who the text is for to pick the first 600 readers, then answers one Choice per persona for its reaction.
- Category
- Cookbooks & Demos
- Published by
- Community
- Author
- gaborishka
- Added
- 2026-09-22
Highlights
- A wave continues only while glad readers outnumber annoyed ones by at least a tenth of the wave.
- One request scores the text against about 60 kinds of people, 83 for listings and products, plus seven safety questions.
- A score of 0.5 or more on hatred, threats, private data, or similar keeps a text out of the public feed; 0.85 or more and it is not posted at all.
- You can name the audience in words, and the waves, counts, groups, and map become about that audience.
- Deploys on Cloudflare Workers with D1; one TypeSafe key gives 200 to 460 personas a second.
Quickstart
npx wrangler d1 create jev-crowd
npx wrangler secret put TYPESAFE_API_KEY
npm run deployWatch out
MIT-licensed. Needs a TypeSafe or OpenRouter key and Cloudflare D1 to deploy; the MCP server's daily budget lives in server memory, so a restart resets the day to $0 and each client starts its own server.
More like this
From the community
Posts from builders shipping with Jev right now.
Beating Gemini Flash Lite on an eval
Browser Use Ultrafast, powered by Jev
Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓
A really smart switch statement
hype-free explanation of jev: jev does not replace gpt / claude jev is just a *really* smart switch statement like if 2016 ml classifiers got 2026 levels of intelligence it's a new* type of tool that will make a lot of workloads insanely fast, cheap, and accurate * = and by Show more
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
When a designer gets Jev
when a designer gets access to Jev
Full Jev video tutorial
Full Jev Tutorial What it is, how you can build with it and what new applications it can unlock → 0:00 Intro → 0:34 Jev explained → 4:06 API setup → 5:59 Demo 1: Voice-controlled browser → 11:33 Demo 2: AI memory → 17:27 Demo 3: YouTube predictor
The case against Jev-scored compaction
This is a terrible compaction strategy that fundamentally doesn't understand how compaction and context management work. Seems like a lot of people are confused so let's break this down. 1. Compaction isn't a filter The role of compaction is to clean up history to keep the Show more
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



