system-one-models

Evidence-backed use cases, patterns, prompts, and starter code for TypeSafe Jev — a System One model for fast, typed, confidence-aware decisions in software.

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.

🔥🔥 Papers, open reproductions and independent evaluations behind System One models and Jev.

Evidence-backed use cases, patterns, and guidance for building with Jev, TypeSafe AI's System One model. Every claim is labeled and sourced.

Observable browser stealth game: Jev makes typed guard judgments while deterministic code owns the world.

Fast, typed, calibrated evaluations for LLM and agent outputs, powered by Jev — with simple, framework-agnostic Python APIs

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.

Community-maintained Go SDK for the TypeSafe AI System One evaluation API, with typed questions, fluent builders, retries, and examples.

Self-hosted prompt monitoring with System One Models

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.

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)

Find files by describing them in plain English: find(1) with a semantic --like predicate, answered by TypeSafe.ai's jev model

A curated list of Jev guides, official documentation, and community projects for AI practitioners, product managers, and builders.

Independent benchmark data for TypeSafe's Jev (System One model) vs LLMs: accuracy, calibration, cost. Boards + per-decision logs, CC-BY-4.0

decision-first data cleaning system powered by Jev

Minesweeper where deterministic logic does the provable work and TypeSafe Jev is consulted only when the board forces a guess.

Open schemas, recipes, templates, examples and agent tooling for Brida Reflex.

A curated list of TypeSafe Jev resources, SDKs, agents, MCP servers, integrations, benchmarks, examples, and open System One implementations.

Bounded semantic routing with Jev and Poise. Rust, single-server, alpha.