Charts: TypeSafe Jev evaluated on Thai standardized exams vs 110 other models
Jev ecosystem projects — page 160
3926 repositories with documented relationships and source evidence.
An LLM router that uses Jev (TypeSafe System One) to dispatch each request to the cheapest model and lowest reasoning effort that will do the job. OpenAI-compatible proxy, Claude Code and Codex wrappers, TypeScript and C#.
Playful ticket triage that shows how TypeSafe Jev's typed, probability-backed decisions compare with prompting an LLM. Cost of Delay ranking, certainty-gated routing, bring-your-own-key LLM race.
FastAPI service that reranks support tickets by urgency using TypeSafe (Jev / System One)
An integration with jev by typesafe.ai in Rust
Crypto trading bot on Binance testnet using TypeSafe (Jev) to judge news
TypeSafe Jev-powered lead intake and live CRM judgment demo for Tribe CRM
TrustGate — indie media T&S gate via TypeSafe Jev
3D chess powered by TypeSafe AI (Jev). AI vs AI by default, or play either side. Multiple difficulty levels.
Archived: Go client for the TypeSafe API. Use latere.ai/x/pkg/typesafeai.
Smoke test: route prompts to a work or life database with TypeSafe AI (Jev), 30-case eval
Chess where both players are TypeSafe's Jev model: every move is a typed Choice decision
Java client for the TypeSafe System One API (Jev): typed questions in, calibrated probabilities out
Small Python package that uses typesafe.ai to evaluate code comments on certain heuristics
Hyprland/NixOS fork of typesafe-computer-use — grim + hyprctl + ydotool, TypeSafe Jev decisions
Diffusion-style pixel art out of a general classifier (TypeSafe Jev): 256 parallel pixel questions + refinement passes
Unofficial Go SDK for the TypeSafe AI System One API — 1:1 parity with the official JS and Python SDKs. Not affiliated with TypeSafe AI.
Unofficial PHP library for the TypeSafe API
Unofficial PHP SDK for the TypeSafe AI System One API — 1:1 parity with the official JS and Python SDKs. Not affiliated with TypeSafe AI.
Escribe lenguaje natural y un LLM local lo compila a variables de TypeSafe (state + questions) y las ejecuta (Jev / System One)