Playground
CommunityJev Tools & CLIs
Crowdcheck
Test a social post on 10,000 simulated AI readers with their own jobs, tastes, and memories before the real internet sees it.
- Format
- Playground
- Reading time
- 3 min
- Published by
- Community
- Last verified
- Sep 2026
Works forJev for Classification
Used inJev for Software & DevTools
Highlights
- Readers like, dislike, repost, follow, and block, and posts stay private to you by default.
- Draft comparison is stated not to change the audience, and a Checks feed sorts by latest or popular.
- A Hall of Fame page collects the best-performing posts; every reaction comes from an AI reader.
Watch out
The page does not explain which Jev questions drive each reaction and names no author or cost.
Questions about this entry
Short answers drawn from the linked project or page.
In principle it is many judgments against different stated jobs, tastes, and memories rather than one answer. In practice the page does not say which Jev questions drive each reaction, whether readers see each other's responses, or how disagreements get aggregated. A reader count is not a measurement until you know the distribution behind it.
The address is not serving the app at the time of checking, so nothing could be verified against the live page. The description here, including private-by-default posts and a Hall of Fame of best performers, comes from earlier reads of the app rather than anything you can load today.
That is the claim being made and it is untested. Nothing published here correlates simulated reactions with any real platform's numbers, and readers reacting to each other is a closed loop with no external ground truth. Useful as a cheap rehearsal before posting, not as a forecast.
The listing says posts are private to you by default and that the draft comparison does not change the audience. It does not say whether adding a check to the feed or the Hall of Fame makes a draft public, or who else can see a check you run.
They like, dislike, repost, follow and block, and every reaction comes from an AI reader rather than a person. A Checks feed sorts checks by latest or popular, and a Hall of Fame page collects the best-performing posts. None of that is the same as knowing how the reactions were produced.
Neither is stated. The listing names no author and no pricing, so there is no way to tell who maintains the reader pool, whether it is generated or curated, or what a check spends against a TypeSafe key. The page was not serving the app when checked, so none of that could be read from the live site either.
Not on its own. A Hall of Fame and a popularity sort are relative rankings, and nothing published explains how a score is derived or what a good absolute result looks like. The draft comparison is stated not to change the audience, so a check is a rehearsal rather than a forecast of what a real platform will do.
From the Jev guides
Original write-ups on what this entry is for.
From the Jev AI model community
Posts from builders shipping with Jev right now.