Ejemplo didáctico: captura los paquetes de tu red con Wireshark/tshark y deja que Jev (TypeSafe) los juzgue desde la ciberseguridad
Applications — page 63
Complete applications where Jev makes a product decision: routing, ranking, classification or approval.
2,602 active projects in this collection. All collections →
Chrome extension that highlights Reddit posts you can answer, scored by TypeSafe Jev against your own expertise cards
Experimental local-first macOS voice automation using whisper.cpp, TypeSafe Jev routing, typed actions, and optional Ollama generation.
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Automated resolution infrastructure API for long-tail prediction markets (Cloudflare Workers + Supabase + TypeSafe Jev)
Dockerized REST service, jev-compatible, that serves the Laya model (convaiinnovations/laya) for use from non-Python apps.
Inspect failures, retries, and skipped jobs behind a green GitHub Actions run. Local evidence reports with optional Jev classification.
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Open source Chrome extension for semantic RFx requirement checking, powered by TypeSafe Jev.
GitHub Action that auto-triages new rolldown issues with TypeSafe's Jev model: priority, reproduction quality, one comment.
Using System One modal Jev built by TypeSafe to check for scam related messages
Android app that warns you about scam messages (SMS, WhatsApp, Telegram, email) before you act on them, powered by TypeSafe's Jev model.
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Search your Mac screen history. Native SwiftUI app with automatic Jev search, your own API key, and local fallback.
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Selectia - A family of System One-style models fine-tuned from LFM 2.5, designed for one-pass typed decisions with calibrated probabilities. Decision API (Choice, Noul, Score) powered by open LLMs.
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General-purpose decision models: choices, scores, and probabilities in one forward pass.
Describe a feature, get a verdict on what should actually power it: plain code, Jev, an LLM, Jev + LLM, or classical ML. An executable reading of TypeSafe's own jaggedness list.
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Sieve: a Chrome extension that scores which LinkedIn and Reddit posts are worth your time and suggests reply angles, built on TypeSafe's Jev. Never posts for you.
Evidence-backed AI answer-readiness auditing for web pages. Tells you what to fix, with a verbatim quote for every finding — never a score. Built on TypeSafe's Jev System One decision model, so no generative AI is used and no evidence can be invented. MIT.
Real-time AI slop detector for your feed, built by AdaL with TypeSafe Jev
Hides AI slop on X and LinkedIn using TypeSafe's Jev model. Typed judgments, code decides.
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No project description available.
Jev（TypeSafe AI）で水平思考クイズの質問を判定するアプリ
AI-powered SQL Server plan analysis, query optimization, and Jev-ranked action plans.
Natural-language search over anyone's GitHub stars, re-ranked by TypeSafe Jev
Judgment layer for Stratify: asks TypeSafe's Jev model what static analysis could not prove, and moves each finding along the confidence ladder the engine already uses. Rust.
No project description available.