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Spam and phishing filtering with decision models

Yes/no decisions on whether a message, email or post is spam, phishing or unwanted promotion.

34 public projects · page 1 of 2

  • Chrome extension that uses your Jev key to hide high-confidence sexual and solicitation replies on X behind reversible placeholders.

    Browser extensionproductionTypeScript
  • GitHub Action that triages issues with Jev, applying label, spam, needs-info and duplicate tags only above set thresholds.

    ProjectbetaTypeScript
  • Discord bot where Jev flags spam and scam links in real time, drives an escalating timeout ladder and profiles members.

    ProjectbetaPython
  • Android notification and SMS noise gate: local OTP and blacklist rules first, then Jev decides what is noise, failing open on uncertainty.

    ProjectbetaKotlin
  • WordPress plugin that triages comments in the background with Jev questions on relevance, spam and abuse.

    ProjectbetaPHP
  • Google Apps Script that labels, archives or trashes Gmail conversations based on Jev answers to your plain-English yes/no questions.

    ProjectbetaJavaScript
  • Chrome/Brave extension that uses Jev to classify, label and safely bulk-clean a Gmail inbox with undo.

    PluginbetaJavaScript
  • Dry-run-first Proton Mail Bridge triage on macOS where Jev answers whether each message is spam or phishing.

    ProjectbetaPython
  • Unofficial Symfony bundle with a typed Jev client, Noul and Choice validator constraints, Workflow guards and a profiler panel.

    LibrarybetaPHP
  • Probot GitHub app that classifies, scores, checks completeness and dedupes issues and PRs with Jev, routing uncertain ones to humans.

    ProjectbetaTypeScript
  • Google Apps Script Gmail classifier that applies your own plain-English labels with Jev and archives only high-confidence unwanted mail.

    ServicebetaJavaScript
  • Message moderation that asks Jev for probabilities of spam, scam, harassment and other harms plus your own plain-English rules.

    ProjectbetaPython
  • One YAML task to classify, route, score or verify text with rules, Jev, NanoJev or an OpenAI-compatible model, with cost records.

    CLIbetaPython
  • Nushell plugin that asks Jev noul, choice and score questions about a state or each table row, returning typed answers to filter.

    PluginbetaRust
  • Chrome extension and Workers API that score X posts and replies for AI writing, solicitation and paraphrase bots using Jev.

    Browser extensionbetaTypeScript
  • Chrome/Edge extension that flags low-quality, spam and promoted X posts with Jev and overlays a translucent STOP or AD watermark.

    ProjectbetaJavaScript
  • Chrome extension that labels every X post you scroll past with six typed Jev questions and shows a live cost counter.

    Browser extensionbetaTypeScript
  • Browser game racing a human against Jev to spot spam over 25 rounds, comparing speed and accuracy, on a Cloudflare Worker.

    ProjectprototypeJavaScript
  • Read-only Chrome extension that badges each Gmail message with Jev's category, priority, spam % and reply %.

    Browser extensionprototypeJavaScript
  • Creator inbox sorter: Jev answers five questions per comment or DM and code decides to notify, draft, like, hide, archive or escalate.

    ProjectprototypeTypeScript
  • Chrome extension that scores each X timeline post with one batched Jev Noul request for engagement value, virality and tags such as spam.

    Browser extensionprototypeJavaScript
  • YouTube comment analyser: an LLM writes a per-video rubric once, then Jev scores every comment and code computes consensus.

    ProjectprototypeTypeScript
  • Scam text checker where code extracts link and sender facts, Jev answers eleven narrow questions, and a pure policy scores risk.

    ProjectprototypeTypeScript
  • Community Java 17 SDK for Jev with typed Ask declarations, enum-backed choices and a Spring Boot starter.

    LibrarybetaJava
  • Small idiomatic Elixir client for Jev via TypeSafe or OpenRouter, with boolean ask? and analyze helpers.

    LibrarybetaElixir
  • Read-only, local Gmail triage that sorts each message into five trays with an urgency score using Jev via Vercel AI Gateway.

    ServicebetaTypeScript
  • Interactive playground that walks step by step through real Jev requests and their probabilities using your own key.

    AppproductionTypeScript
  • Next.js and Python demo where one Jev call per email returns spam probability, category and urgency on Enron-Spam.

    AppprototypeTypeScript
  • Minimal grammY Telegram bot that asks Jev whether each group message is spam and deletes only high-confidence matches.

    ModelbetaTypeScript
  • Independent benchmark of Jev, constrained-output LLMs and baselines on intent and spam tasks: accuracy, latency, cost, calibration.

    BenchmarkresearchPython

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