# Jevtown > Jevtown lets you test a piece of text against 10,000 simulated residents who decide whether it spreads further or stops. It is for writers, marketers, and founders who want to see how a post, listing, or headline performs before publishing. - Type: AI tool - Page: https://completeaitraining.com/ai-tools/jevtown/ - Published: 2026-09-20 - Updated: 2026-09-22 - Author: Jeroen Erne - Jobs: Marketing, Writers, PR and communications, Creatives, Real estate and construction - Topics: Analytics - Reading time: 3 min ### About Jevtown Jevtown is a simulation tool that runs a post, listing, product description, or headline past 10,000 computed AI residents before it goes live. The text travels through waves of readers-starting with the 600 it should matter to most-and only spreads further if more residents were glad than annoyed by it. A weak text stops after the first wave, while a text that resonates reaches all 10,000 residents in about 14 seconds. ### Review Jevtown approaches pre-publication testing as a statistical sampling problem rather than a single-score judgment. Instead of asking one model for one verdict, it batches 10,000 persona-driven decisions and tracks who stopped, liked, reposted, or blocked. The output includes demographic and interest-based breakdowns, buyer questions for listings, and a demand curve over a product's price ladder-all without requiring a sign-in. #### Key Features - **Wave-based propagation.** A text first reaches 600 residents matched to its content. It advances to the next 1,500 only if the glad-to-annoyed ratio stays positive, simulating how content spreads or dies in actual feeds. - **Persona-driven reactions.** Each of the 10,000 residents has a defined job, interest, age, city, and budget. The system returns what each resident did-scroll past, read, like, repost, follow, or block-along with their demographic filters. - **Buyer questions for listings.** For product listings, the tool surfaces the questions buyers would ask first. In one test, a listing that required prepayment triggered scam-suspicion questions from 43% of stopped buyers, while an inspection-friendly version saw 24% asking about price negotiability. - **Custom audience targeting.** The Audience tab lets users describe readers in plain words (e.g., "people who work in IT and are into startups"). Only residents matching that description read the text-238 out of 10,000 in the IT/startups example. - **Open-source and extensible.** The code is MIT-licensed, and residents are defined in a single file (public/shared/personas.js). An MCP server lets agents like Claude write variants and run them through the town using compare\_texts and check\_text endpoints. #### Pricing and Value Jevtown is free to use. A text that dies in the first wave costs roughly half a cent, while one that reaches all 10,000 residents costs about ten cents. The site does not require sign-in or account creation. Users who want to run their own instance with a custom resident pool-such as a town of founders only-can self-host the open-source code and supply their own Jev API key. #### Pros - No sign-in or account setup required to run a test. - Wave mechanics simulate how a text actually travels through a feed, rather than returning a single aggregate score. - Output filters by interest, job, age, city, and budget let you isolate which segments responded and how. - Buyer question generation shows what a listing is missing, giving concrete direction for the next rewrite. - Open-source code and documented resident generation make self-hosted, niche-audience instances possible. #### Cons - The residents are simulated AI personas, not real people. The maker has not compared reaction patterns against live audience data, so the numbers are best used for A/B comparisons between text variants rather than absolute performance predictions. - Jevtown does not write or suggest rewrites itself-it only answers questions about the text you supply. You must write the next version manually (though an MCP server now lets external agents handle variant generation). - The tool is not well suited for users who need real human focus-group feedback or statistically validated market research. It is a simulation environment for comparing drafts, not a replacement for actual audience measurement. Jevtown fits writers, marketers, and product sellers who regularly A/B test copy and want rapid, low-cost directional feedback before publishing. It's particularly useful for comparing two versions of the same text to see which one travels further and why. Users who need precise, real-world audience metrics or automated copy generation will find it less aligned with their workflow. --- This is the Markdown form of https://completeaitraining.com/ai-tools/jevtown/. The whole site is mapped at https://completeaitraining.com/llms.txt.