A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.
Awesome Jev: a source-backed field guide to TypeSafe's System One model, with SDKs, live demos, agent tools, and independent evaluations.
A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for typed decisions.
🔥🔥 Awesome Jev: open-source models, projects, benchmarks, and independent evaluations for Jev and System One models.
The System One harness for System One models. Run Jev and other System One models locally or directly on HarnessRouter.ai.
A list of System One models (also called decision models): Jev, the first, plus open and hosted alternatives, agents, tools, SDKs and benchmarks.
Evidence-backed use cases, patterns, and guidance for building with Jev, TypeSafe AI's System One model. Every claim is labeled and sourced.
Fast, typed Python framework for Jev-as-a-Judge/Decision-model evaluation for LLMs, RAG, and AI agents along with human-label calibration.
Fast ONNX inference for GLiNER, GLiClass, GLiFormer, and System One — Python API, Rust runtime, CPU/GPU
A high-performance serving engine for System One decision models.
Community Java SDK for Jev, TypeSafe's System One model: typed questions in, typed answers with calibrated probabilities out. Java 17+, Spring Boot starter (unofficial)
Observable browser stealth game: Jev makes typed guard judgments while deterministic code owns the world.
AX-first computer use for AI agents on macOS with optional Jev (TypeSafe System One) semantic guards: calibrated target/input judgments before an irreversible action, decisions kept in code. Accessibility-tree targeting, window-scoped input, clipboard-safe paste, read-back verification. Ships a pip CLI, a pi package and a DeepSeek Harness plugin.
ReflexBench — open benchmark and evaluation harness for System One models and typed decision engines
Community-maintained Go SDK for the TypeSafe AI System One evaluation API, with typed questions, fluent builders, retries, and examples.
Dynamic latent-state control heads for LLMs: route each query by actual model capability, not task type, to answer, reason, call tools, abstain, or escalate
An idiomatic, type-safe Elixir port of the official TypeScript AI SDK (ai / ai-sdk) providing unified LLM integrations, streaming text and structured outputs, tool calling, and agentic workflows. Jev is their current flagship model and is the first System One model.
A security test environment for Jev-compatible decision models
Local decision models for Python: a small model on your machine scores the options your application allows and returns one, with a full probability distribution.
Code and data for evaluating Jev, a System One model, on scientific decisions and how its choices affect downstream results. arXiv:2609.24965
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