Deciding with Jev

What people are doing with Jev, the model that decides instead of writes.

A browser agent that finds flights in seven seconds. A Claude session cut from a million tokens to 86,000 in one second. A WHERE clause that reads plain English. Vercel's safety reviewer. We are collecting what people built with Jev in its first days, and what they argued about, each in their own words. Nobody in these bylines is on eChai, and every entry links back to where it was posted.

Founder Notes →

8 entries Clear

Curated from X →

Borja, of Distribb, on internal linking as a Jev job: 586 pages read and the link map rebuilt in 45 seconds for $0.21, with 139 pages it declined to link because nothing fit, against Claude Opus 5 getting through 21 pages for $1.43 on the same clock. His framing is the useful part: it is not writing, it is 8,790 yes/no calls.

Borja 4h

Jev is WILD for SEO audit 🤯

in 45.1 seconds it read all 586 pages on my site and rebuilt the internal link map. 584 links placed, 139 pages it refused to link because nothing honestly fit. total cost $0.21.

Claude Opus 5, same 586 pages, same clock, got through 21 of them and spent $1.43.

per page that is ~190x cheaper. the full Opus pass would have run $43.

internal linking is the perfect Jev job. it is not writing, it is 8,790 yes/no calls: does this page have a real reason to link to that one, and is there anchor text already sitting in the copy. that is a classification problem, and we have been paying frontier prices to do it one page at a time.

what you are watching: left column is Jev, right is Opus, same queue, same rubric. the run stops the moment Jev finishes so Opus stops burning tokens.

coming soon to @distribb_io + connector + gpt plugin
Curated from X →

Ian Nuttall again, on the small end: a filter for the reply-guy comments X's own filter misses, which he says took five minutes in Astra with the docs and an API key.

Ian Nuttall 12h

Pro tip: You can use Jev to remove annoying reply guy comments that X seems to always miss. Takes 5 minutes in Astra with the docs and an API key.
Curated from X →

Rob Hallam, on SuperX. A draft post gets 61 questions answered in about a second for $0.0004; the scorer is fitted on 9,481 real posts from 207 creators, picks the more viral of two posts two times in three, and is set up never to reward reply bait. Free to try at the link.

Rob Hallam 23h

Jev + SuperX = virality solved ✅

Every post gets 61 questions in ~1s for $0.0004 🤯

> fitted on 9,481 real posts from 207 creators
> picks the viral post 2 in 3 times
> never rewards reply bait

So: write, score, rewrite, stop when it peaks.

Free, no signup. try it below ↓
Curated from X →

Ian Nuttall gave Jev his whole X archive: 3,282 posts and eight questions each, 4.25 million tokens, $0.1282, eight and a half minutes. What came out is which topics, hooks and tones actually carried in his own numbers.

Ian Nuttall 1d

I gave Jev 3,282 of my X posts across 100M views and asked it to find what actually works for growth.

4,252,330 tokens $0.1282 for the full 8m 34s run!

Each post got 8 questions about the topic, hook, tone, whether it teaches something, etc.

How-to posts got 150 median likes vs the average median of 44.

AI and coding was a 1.9x multiplier topic compared and SEO, despite recent posts, was right at base median 1.0x - surprisingly.

The recommended topic + angle + voice formula was:

AI coding + teach something + provocative
Curated from X →

Matthew Berman, who says this is coming to Steal Ads and as an MCP: 724 live ads from 37 brands, each broken down by hook, format, offer, call to action, awareness stage and whether the landing page matches, in 40 seconds for nine cents of tokens.

Matthew Berman 1d

jev is INSANE.

in 40 seconds it broke down 724 live ads from 37 brands.

every hook. every format. offer. cta. awareness stage. landing page mismatch. used 9 cents of tokens.
(will be avail in @stealads + mcp)
Curated from X →

Jozef Gherman's Jev Detector: about 10,000 words checked for AI slop in about two seconds, free and with no sign-up.

Jozef Gherman 1d

Announcing Jev Detector

The world's fastest AI slop detector, built on jev from @typesafeai

~10,000 words scanned for slop in ~2 seconds

Best part, its free, no sign up required, enjoy!

jevdetector.com Jev Detector
Curated from X →

Leo rebuilt X's ranking algorithm with Jev standing in for the model, using the published weights, and gives it your draft to simulate how far it would travel.

Leo 1d

rebuilt the X algorithm with Jev

- uses real weights
- simulates virality of your post
- has a global feed (you see everyone)

it's insanely accurate
Curated from X →

Riley Brown's live analyser: half a second after you stop typing it scores the draft and names its category, which is the kind of thing a 100 ms decision makes possible and a four-second one does not.

Riley Brown 1d

Just created this with Jev by @typesafeai. A live viral post analyzer. As soon as you stop typing for .5 seconds it analyzes the viral potential.

Going to try and actually make this good, will need to scrape a lot of twitter data...

Notice how it also categorizes the tweet live... I could have it surface similar tweets on the right side for inspiration... idk just experimenting.

eChai Partner Brands The partnership →