Calibrated Jev ranking before lossless context condensation
Jev ecosystem projects — page 107
3926 repositories with documented relationships and source evidence.
Detect which changed legal provisions may affect a declared business activity.
Chrome extension that rings AI slop in your LinkedIn feed, judged by typesafe/jev-1.13 — a structured decision model
Use TypeSafe's JEV to review code conventions function by function. Define the rules in `rules.md` and use a Claude Code mod to automatically review the files modified during the current turn at the end of each turn.
Independent playground for TypeSafe AI Jev decision models: typed decisions, support-ticket routing, reproducible evaluations, and a local browser demo.
Triage French public procurement notices for a company capability profile.
Version political commitments and detect how sourced promises change over time.
Minimal MCP server exposing TypeSafe/OpenRouter /api/alpha/decisions as five judgment tools
Unofficial stdio MCP client for TypeSafe Jev. Bring your own API key.
MCP server that lets Claude Code and Claude Desktop drive the jev-ultrafast browser agent in your real Chrome, with a domain-bound safeguard
MCP server exposing TypeSafe AI's Jev decision model to Claude (stdio, two tools: jev_evaluate, jev_route)
Semantic MCP middleware that intercepts AI-agent tool calls and combines deterministic policy with TypeSafe Jev risk judgments before actions reach upstream MCP servers.
Watch a growing text transcript and update declared meeting signals with exact quoted lines.
Minesweeper played by TypeSafe's Jev System One model: one P(mine) per hidden cell per move, code owns the policy.
Route bounded decisions through Jev and hand open-ended work to Mistral.
Jev + Multimodal: shared visual decisions, evidence adapters, source audits and reproducible public-image benchmarks.
Reproducible benchmark evaluating TypeSafe AI's Jev (System One paradigm) on Brazil's ENEM 2025 standardized exam. Evaluates typed decision-making, domain-specific accuracy, and RLCD uncertainty calibration against open LLM baselines with an interactive GitHub Pages dashboard.
A ultra-low-cost social simulation engine based on OASIS, powered by TypeSafe Jev.
Jev × obniz LED: Physical AI Hello World — text → typed decisions (TypeSafe System One) → WS2812B LEDs
Turn a French-language situation into confirmed inputs for an OpenFisca simulation.
Jev-powered Python pipeline for filtering cold outreach leads, detecting buying intent, selecting personalization angles, and exporting qualified contacts to campaign platforms.