Calibrated TypeSafe Jev confidence checks for every step of coding with Claude Code — brainstorm, research, write, test, verify, triage
Jev ecosystem projects — page 82
3926 repositories with documented relationships and source evidence.
Independent practical guide: TypeSafe Jev decisions in Microsoft Fabric, Power Automate, Teams and related workflows.
Pi extension that routes extra tools through Jev so the model keeps built-ins plus need until it asks
Job-fit assessment with Jev (TypeSafe) and tailored one-page resumes, as agent skills and a Python/MCP tool
Pong in the browser against TypeSafe AI's Jev model
Kev decision models, with MiniCPM5 base support (fork of jaredpalmer/kev)
Independent Rust runtime for Kev decision models (pointer heads on Qwen bases): MLX on Apple Silicon and Candle CPU, parity-gated against frozen upstream goldens
The compatibility harness for kime. The TypeSafe (Jev) API and SDKs, jev-ultrafast and Laya's own clients and tests, run against kime so that drop in replacement is a number rather than a promise.
Go samples for trying TypeSafe's Jev (System One) API with the standard library only
Lathe — Non-Generative A2UI v0.9 Compiler & Runtime (shadcn/ui × AG-UI × TypeSafe System One)
🎮 Play. Learn. Respawn. Turn LAYA & ModernBERT Decoder into tactical AI pilots in Cinder Station, an original Doom-inspired game. Explore RLCD + CE, TypeSafe Jev, interactive lessons & transparent benchmarks. Train locally or in Colab. Fork it. Train it. Play it.
A Jev-compatible REST API wrapping the Laya System 1 decision model
Self-contained, ultra-fast System 1 decision engine with WebGPU/WASM acceleration, 100% wire-compatible with TypeSafe Jev (/v1/systemone).
MCP server exposing the Laya System-1 decision engine (Jev) as agent tools
LinkedIn feed AI-slop detector using TypeSafe Jev API
A source-grounded method for producing newsletters and long-form writing with staged AI work and TypeSafe JEV quality gates
Expense tracking for Gaza households, built around bank statement exports and their note field. Uses Jev (TypeSafe System One) for typed, confidence-aware transaction categorisation.
Scans shop URLs and uses Jev (Typesafe AI) to classify items by fiber composition
Busca de restaurantes Michelin com o Jev (TypeSafe AI): 6.802 restaurantes, amostragem por rodadas e mapa mundial
Mina, an artificial person who feels time pass. TypeSafe Jev (System One) watches her body and senses every second; an LLM (System Two) decides only when a feeling fires. Nothing is scripted. Runs in Docker.
A live tone-target game scored by TypeSafe Jev.
Local MCP completion checks and repeat-loop detection for AI agents. Jev BYOK, deterministic policies, and a free offline demo.