A self-hosted API and web interface for Laya’s structured decision models, compatible with the TypeSafe Jev API format.
Applications — page 3
Complete applications where Jev makes a product decision: routing, ranking, classification or approval.
2,602 active projects in this collection. All collections →
No project description available.
No project description available.
Typed semantic decisions for Unix pipelines and CI, powered by TypeSafe AI Jev.
👨🏽💻 CaptainCore is a command line application for automating WordPress maintenance.
Telegram anti-spam bot
Provider-neutral System One runtime for TypeScript and Pi
A multi-framework neural network compiler lowering PyTorch, JAX, Flax, and Keras models to portable, high-performance GGML execution
Add a decorator for dspy Signatures that automatically uses TypeSafe where relevant
Whiteboard for practicing system design interviews with a live capacity model
grep for what code does, not what it's called. Semantic code search powered by TypeSafe Jev.
OpenDecision is an open-source semantic decision engine like typesafe's jev.
Can a model design a dashboard? A console whose whole design system is generated at runtime by Jev from a one-sentence brief.
A local, API-compatible replacement for Jev, TypeSafe's System One model
No project description available.
A lightweight, native Swift 6 bridge integrating TypeSafe AI's Jev System One decision model into Apple's Foundation Models framework.
Blazing fast structured decisions for System One open-models self-hosted with a TypeSafe AI compatible API, written in Rust.
Supersimple way to serve LLMs as a Jev-like endpoint
Real-time Discord moderation bot: Jev evaluates messages and metadata in parallel to catch phishing, spam, and social engineering with a progressive escalation ladder.
Thinking coreutils
A simple semantic cache implementaion. It caches responses from an LLM based on semantic similarity.
⚡ 适合中国宝宝的 Jev 入门教程|手把手带你了解关于 Jev 的一切——Jupyter Notebook 轻松实验,从三种问题原语到 18 篇实战配方、语音智能家居、模型评测与本地微调,全面掌握 System One 判断模型的开发范式
Playground For All Language Models! Multi user!
High-performance, high-precision, locally-fast-deployed Jev-class medical decision service on national medical exams — four readings, one routed decision, zero training.