Content moderation with decision models
Policy decisions over user-generated content such as toxicity, harassment and rule breaks, with uncertain items queued for review.
57 public projects · page 2 of 2
Chrome extension that labels every X post you scroll past with six typed Jev questions and shows a live cost counter.
Browser extensionbetaTypeScriptChrome extension tagging each X post's intent (inform, persuade, provoke, sell) plus rage-bait and hidden-ad flags via Jev.
ProjectbetaJavaScriptExperimental Chrome extension that asks Jev closed questions about X posts, X profiles and HN comments and labels them only when clear.
Browser extensionprototypeJavaScriptProof of concept that uses Jev to detect Spanish profanity in word-timestamped audio and beeps it out with ffmpeg without changing duration.
ProjectprototypeTypeScriptCreator inbox sorter: Jev answers five questions per comment or DM and code decides to notify, draft, like, hide, archive or escalate.
ProjectprototypeTypeScriptChrome extension that scores X timeline posts on five dimensions with Jev and dims or collapses them according to your sliders.
ProjectprototypeTypeScriptWeb app that has Jev judge a note.com article's writing quality on eight Score axes plus an overall AI-slop choice and score.
ProjectprototypeTypeScriptChinese tool that scans a Bilibili video's comments for rhetorical moves, with eight labels and quoted evidence, optionally via Jev.
ProjectprototypeJavaScriptStudy finding commercial decision models including Jev give different yes/no probabilities on Taiwan statements by Chinese script.
ServiceresearchPythonCloudflare Worker that checks text or usernames for profanity with Jev on Workers AI, including disguised look-alike spellings.
LibrarybetaTypeScriptText review gateway between clients and AI services that classifies each user input with Jev and blocks or logs per configured scenarios.
LibrarybetaGoVideo demo app showing Jev use cases with the AI SDK and shadcn/ui, from intent search and model picking to chat moderation.
LibraryprototypeTypeScriptPublic wall where Jev answers short questions yes, no or it depends in about 100 ms and picks which LLM answers signed-in users.
AppproductionTypeScriptI Ching divination site where charts and verdicts come from code and Jev only classifies the question's topic and screens unsafe ones.
DemoproductionTypeScriptWordPress connector that lets themes and plugins ask Jev typed questions and branch on probabilities, choices or scores.
ServicebetaPHPGo reverse proxy between nginx and an LLM backend that extracts each request's user input, asks Jev if it is harmful, and blocks or passes.
ProxybetaGoAudience simulator where 10,000 computed personas read your post or listing and Jev decides who sees it and how each reacts.
DemobetaTypeScriptComment-moderation demo: one Jev call screens seven hazard Nouls and a severity Score, with the verdict computed by policy thresholds.
AppprototypeTypeScriptPlaceholder repository for an indie-media trust and safety gate powered by Jev.
DemoprototypeMinimal grammY Telegram bot that asks Jev whether each group message is spam and deletes only high-confidence matches.
ModelbetaTypeScriptClaude Code plugin where a local decision model (Laya, or Jev) flags profane or abusive prompts and an instruct model rewrites them.
ModelprototypeVideo demo classifying 50 mock YouTube comments with Jev (intent, value, video idea) and comparing speed and cost with GPT-4o-mini.
ModelprototypePythonChinese multimodal moderation research pairing a Qwen3-VL LoRA evidence extractor with Jev policy decisions, benchmarked against baselines.
ModelresearchPythonBenchmark of zero-shot Jev versus a PyTorch MLP and k-NN on embeddings for Jigsaw toxic comment classification.
BenchmarkresearchPythonSingle-tool MCP server that acts as a content-moderation gate using Jev, with noul, choice and score question types and a mock mode.
MCP serverprototypeHosted comment-moderation playground built on Jev.
AppprototypePublic Jev playground and API site that answers typed Choice, Score and yes/no questions about pasted text in about 0.5 s.
Service