Jev ecosystem projects — page 88

PR staging for thruwire/foreman contributions

Ask Jev typed questions about text and get calibrated probabilities back, then turn them into decisions with fuzzy rules (AND, OR, NOT, hedges, Mamdani outputs) and draw the rule base as SVG. A CLI and a Rust library (native and wasm32).

A Jev-powered policy gateway that checks an AI agent's proposed actions before executing them.

给 Gemini CLI 装上 TypeSafe Jev 做的「质量门」：在关键节点问 Jev 几个结构化问题（要不要返工、这步危险吗、这个请求该不该做），再据此放行、打回、拦截或先弹出确认。

This repository contains a GitHub issue classifier built on Jev, TypeSafe AI's System One model. It labels every new issue with typed values and calibrated confidence in milliseconds, labelling what it is sure about and escalating what it is not. Three guardrail layers guard every write, and a frozen eval suite gates each deploy.

Gmail inbox triage with TypeSafe Jev — workflow labels, archive decisions, and optional live/backfill workers.

Sorts Gmail into labels using typed judgments from TypeSafe Jev. No dependencies, dry-run by default, never deletes.

Go client for the Jev judgement API - ask structured questions about a piece of text and get typed answers back

A Go library for Jev System One.

TypeScript guideme SDK: a TypeSafe Jev judgment as control flow

Home Assistant integration: TypeSafe Jev decides what each room needs; deterministic code acts, with phone confirmation for risky devices.

Cache-safe adaptive reasoning effort for Hermes, selected by TypeSafe Jev through OpenRouter

Calibrated, sub-second decisions in Claude Code's hooks, answered by TypeSafe's Jev

A pre-registered test of which parts of TypeSafe's advice for its Jev model change the answer.

Train and serve a small, typed, calibrated decision model (choice / score / noul) on Apple Silicon

Jev (TypeSafe) vs every Claude model on prompt-injection validation and skill/agent routing: 1,000 labelled cases per task, measured latency and cost, films

A2A multi-agent investment research showcase: jev (sequential), jev-parallel (concurrent), and a single-prompt LLM baseline, with a React UI.

Jev (TypeSafe System One) picks Claude's reasoning effort per step: coding agent + music-taste analyst, with demo videos

A Java Spring Boot agent harness powered by JEV and LLM intelligence.

Jev (TypeSafe AI System One) agent harness guide + video manual — from the LangChain 'Building a Harness with Jev' post. Learn Jev Noul/Choice/Score questions, Model Router, and AutoMode guardrails with LangChain.

Alert triage with Jev (TypeSafe System One): proof of concept and benchmark against a rules-only baseline