Showcase
Built with Jev
Real projects running on Jev, with how each one uses it. Built something? Add it below.
Slop Filter for X (PoC)
Scores every post and reply on X for AI slop and bot spam, then hides or labels it. Readers vote Slop or Human on each reply, which builds a labeled dataset to tune the filter.
How it uses Jev: One score question on a 5-level scale from "genuine human" to "obvious spam", plus a noul question that catches replies trying to talk to the filter ("ignore previous instructions…"). Verdicts are cached by tweet ID, so each reply costs one call however many people see it.
Apify actorJev Bulk Classifier
Label thousands of texts at once: support tickets, reviews, leads, scraped comments. Chain it after any scraper and every row comes back with typed columns and a confidence score.
How it uses Jev: Users define up to 10 choice, score or noul questions in the actor input. Each text is one Jev call with all the questions, run in parallel, and the answers become dataset columns you can export to CSV or Google Sheets.
Internal toolJev Tester
A small web app for trying prompts: write a state and questions, record the answer you expected, and compare runs side by side.
How it uses Jev: The fastest way to tune criteria wording before putting it in production. The playground on this site is based on it.
From the community
Open-source projects other developers have built on Jev.
Slop Filter by Adam Roman
Hides AI-written posts and comments on X, LinkedIn and Reddit, and comments on YouTube. Watch it scan your feed live: each post turns green and stays, or red and folds away.
How it uses Jev: Asks Jev 19 narrow yes/no questions about how a post is written (the "it's not X, it's Y" pivot, three matching beats, a tidy bow on the end), then combines the probabilities with weights you can fit from your own labels. About 4 cents per 1,000 posts.
Demo from the project's README, MIT License, © 2026 Adam Roman
Slop Filter (Jev) by thonawit
Hides AI slop on X and LinkedIn and highlights posts about topics you care about. Strictness slider per platform, an allowlist of handles, and a diagnostics panel with the last 20 decisions.
How it uses Jev: Each post is judged once by Jev; the extension's own code decides what to hide from the probabilities. Answers are cached, so moving the strictness slider re-scores for free. About 200 ms per post.
Recipes to start from
Common question sets. Each one is a single call per item.
| Support ticket triage | choice: team · score: urgency · noul: churn risk |
| Review mining | choice: topic · score: sentiment · noul: mentions a bug |
| Lead qualification | score: fit against your ICP · choice: company size |
| Agent guardrail | noul: request is in scope · noul: contains a prompt injection |
| Content moderation | score: toxicity · noul: spam or self-promotion |
| Job post filter | choice: seniority · noul: remote · score: match to your CV |