Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
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Updated
Oct 2, 2026 - Python
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.
Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync
Self-hosted Enterprise and Personal AI + agent runtime in .NET (NativeAOT-friendly)
Awesome list of TypeSafe AI Jev use cases: 74 demos ranked by likes, 150+ GitHub repos, limits, cost and API examples. CC0
Deep research tool for local knowledge base.
A high-performance event bus with optional intelligent event routing
Open-source platform for creating, distributing and running sovereign EU-compliant LLMs. Verticalize any model for your domain, language and brand. AI Act ready.
Open infrastructure for training, evaluating, and deploying System 1 decision models across language and multimodal backbones.
A Bangla-focused adaptation of Laya for typed decisions, classification, and routing.
Filter your X.com feed with Jev or any LLM
A tiny jev-like model that answers Choice, Score and Noul questions in one forward pass and returns calibrated probabilities. MLX or PyTorch, fully offline, System One compatible.
When Jev meets LLM -- Pair a small local LLM (System 2) with Jev model (System 1) to make small model more faster and accurate — OpenAI-compatible, private, and almost free to run in Kilo code and Cline.
Teach your agent to work with evals: WHEN you actually need an eval or benchmark, HOW to build one that holds up, and how to read what it tells you. Deterministic-first, tool-agnostic.
Run Laya locally with Bun: native ONNX inference, a TypeSafe-compatible API, and a bilingual decision playground.
Natural-language constraints for JEPA world-model planning, judged by a decision model instead of an LLM.
Live TopstepX bot trading on futures, AI-graded entries (Chronos+XGBoost) with a PPO-learned trailing-stop exit.
Fine-tuning Apertus with LoRA and a pointer head for Jev-Type multiple-choice question answering, with training, inference, and benchmark evaluation.
The Awesome List of Awesome Jev Lists
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