Helps AI say the same thing in fewer words: choose which ideas must stay, let your model rewrite, and use Jev to check for lost meaning and guide repairs; available as a local editor and CLI; MIT licensed.
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Human-reviewed manuscript citation checker: code verifies retrieved passages, Claude proposes evidence, and Jev scores whether the cited passage supports the claim; citation text and paper content go to the selected providers, and the model verdicts have no labelled biomedical validation set yet.
Self-hosted quantitative trading platform that uses Jev System One as an optional, auditable PASS / REJECT gate for strategy and Quick Trade entry orders, with LLM fallback and deterministic bypasses for exits and protective orders; enabling the filter sends its prepared decision context to the configured AI provider.
Chrome extension that judges each LinkedIn post as it scrolls into view and stamps engagement bait or corporate marketing onto the post, leaving it readable, with the probability printed on the stamp; two Noul questions and a Choice category run per post, local keyword rules settle obvious cases before any API call, and verdicts are cached per post. Post text goes to TypeSafe through a local proxy that holds the key so the extension never receives it, and a proxy or model error leaves every post visible. Thresholds (is_slop 0.60, is_corporate 0.70) are fitted to the bundled 14-post labelled set, which is too small to characterise precision beyond that sample; English and text only, and the LinkedIn DOM selector will need updating when LinkedIn rebuilds its feed.
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