Jev ecosystem projects — page 13

Jev decision layer for agents: MCP server, embeddable DecisionModel library, and an escalate-only Claude Code plugin (TypeSafe AI's Jev)

TypeSafe structured-output provider for RubyLLM 2

Jev-powered conversation memory: find past sessions and revisit decisions with original sources. A macOS workspace for OpenAI Codex. Manage AI conversations and agents, explore code with CodeGraph, and work with Git, Ghostty terminals, and Apple Notes in one app.

Typed decisions from unstructured state: one forward pass, zero generated text. Local, deterministic, Jev-compatible. Not affiliated with typesafe.ai.

TypeSafe Jev for DeepSeek Harness, the Model Context Protocol, and plain Node: typed judgments instead of prose, offline by default.

The agent loop where decisions don't cost a large language model call. Zero deps, runs offline, no API key needed.

.feels() on anything — the AI if statement as a real, typed method. Jev + BAML.

Self-hosted AI email classifier for Gmail powered by Jev. Create custom labels, organize your inbox, and filter spam with confidence and cost controls.

Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases: repos, patterns, benchmarks, and measured results

Real-time drone swarm autonomy simulation using Jev for fast System 1 reflex decisions and collision avoidance, with optional System 2 reasoning for strategic guidance

Everyday Stocks Status with Jev

2D autonomous car simulation in the browser, driven by TypeSafe's Jev decision model

Chrome extension that labels every post you scroll past on X with typed Jev judgments and a live cost counter

Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.

Typed, confidence-aware agent skill routing with TypeSafe Jev.

Jev decision layer for Muse: a fast, cheap TypeSafe AI gate before expensive agent work — confidence policy, recipes, reference router, honest measurement.

Score every test against a git diff with Jev, and emit the filter arguments vitest, node:test, Playwright, cargo test and go test already understand

Measures what your Jev classifier's confidence is really worth, and sets the human hand-off line from what a mistake costs.

Classify your inbox with Jev (TypeSafe's System One model) — tag, move, flag, and notify, all config-driven.

Lisp Object Notation - an advanced data format built on JSON capable of representing arbitrary computations

Go SDK and CLI for TypeSafe Jev: typed decisions (yes/no, choice, score) from a model

Open-source, local decision models inspired by TypeSafe’s Jev and System One - built on Qwen3 for NVIDIA DGX Spark.

Jev, TypeSafe's System One classifier, as a tool inside Claude Code, Codex, Pi, and OpenCode: typed classify, check, score, rank, and ask, plus one-command setup.

if you're experimenting with jev it will be easier from here