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Link and URL safety with decision models

Deciding whether a link or download is safe to open or should be blocked or warned on.

8 public projects

  • Open-source link attribution platform whose malicious-link check calls Jev before a short link is created.

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

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

    ProjectbetaPython
  • Passive Chrome extension that inventories a site's browser-visible attack surface and uses local Laya or Jev to prioritise findings.

    ServicebetaTypeScript
  • Windows antivirus and EDR prototype that extracts file, process and URL features and asks Jev for verdicts, severity and indicators.

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

    ProjectprototypeTypeScript
  • Reproducible benchmark of Jev vs Claude Haiku 4.5 on 2,000 emails deciding whether an agent should click a link, with calibration audit.

    BenchmarkresearchPython
  • Workflow design article: one Jev Noul asks whether a domain name refers to a protected brand, with the TLD kept out of the input.

    Articleproduction

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