TypeSafe Jev demonstration for new analyzation — experimenting with Jev for fast analysis of news and tickers
Jev ecosystem projects — page 44
3926 repositories with documented relationships and source evidence.
TypeSafe System One models (Jev) for RubyLLM: typed judgments, evaluations and reranking.
Makes S1-model 'measurement' (and the collapse that follows it) a Ruby primitive.
Tell Claude Code which installed skill a session needs, using Jev (TypeSafe AI) for the decision and skills.sh for discovery.
8 AI snakes, 1 human, 1 arena. Every snake is driven live by TypeSafe's Jev, making all decisions in real time
Open auto mode for AI agents — a calibrated tool-call firewall powered by TypeSafe Jev. Ships as a Claude Code hook
화재 피난자 개인별 판단 엔진 — 타입 안전 판독(Bonsai 2 27B / TypeSafe Jev) + 소셜포스 이동, FDS-GPU 화재장 위에서 역할·구조·경로 결정 · Meteor Simulation
Chrome extension that reads every cookie banner and popup like a person and clicks the honest button. Judged by TypeSafe's Jev. BYOK, no backend.
Worked examples for TypeSafe's Jev System One decision model, runnable today through OpenRouter
MCP server: screen PubMed titles/abstracts against a query or clinical question with TypeSafe Jev
Worked out examples of applying TypeSafe AI Decision (Jev) models with Pinecone.
Open-source BYOK Chrome extension for personal, reversible X timeline filters.
Autonomous System-One Triage Engine & Benchmark powered by TypeSafe AI (Jev). 75ms inference, $0 output tokens, and RLCD epistemic safety gates.
Structured code review for GitHub and Gitea Actions, powered by TypeSafe Jev and written in Rust.
using the new model JEV to play the game tetris
A Chrome extension that brings TypeSafe's Jev to X.com to analyze posts as you browse
Emoji autocomplete at the speed of typing. TypeSafe AI Jev on a Whop-hosted TanStack Start app.
Home Assistant custom component: Conversation agent with Jev fast-path + Grok fallback
Measure when to use Jev and other models on your data, then route accordingly.
Benchmarking Jev (Typesafe.ai) against a strong LLM on the Who&When Pro agent-failure-attribution benchmark (text subset).
Low-latency audio censorship POC using Jev typed decisions and ffmpeg.
Evidence-driven frontend QA built on Jev Ultrafast and Browser Harness, with a synthetic todo demo.
Jev (TypeSafe AI) PoC through Game of Thrones
An eval-first MCP server for TypeSafe's Jev, a System One model that returns typed judgments (noul, choice, score) with probabilities instead of generated text.