Launches on September 20, 2026

use jev in dbt

Typed semantic judgments and pattern matching for TypeSafe Jev and local Laya in Elixir

Verdict-based context compaction for DeepSeek Harness — replaces lossy LLM summaries with fast keep/truncate/drop decisions from jev-latest; everything kept stays verbatim. Port of tamaratran/fast-jev-compaction.

Scan a GraphQL schema and flag PII, auth gaps, N+1 risk, and naming/doc issues using TypeSafe's Jev model

Classify Hugging Face datasets across typed semantic dimensions with TypeSafe Jev System One.

NYC 311 complaint heatmaps with TypeSafe JEV: reproducible pipeline, live research results, and interactive geographic visualizations.

jevkit: fast typed decisions for agents. CLI and MCP tools (route, triage, guard, grep, rank, compact, judge) on TypeSafe Jev. Zero dependencies.

A character-level language model built on Jev, a System One classifier

A lightweight .NET client for the TypeSafe AI API (System One / Jev). One dependency; a faithful port of the official Python SDK.

🚀 Blazing-fast native macOS menu bar companion for Notion. Pure Swift & SwiftUI (<3MB), 8 languages.

Practical agent skills and examples for building with Jev. API setup, routing, ranking, and evidence checks.

Jev Can Trade Stocks — a point-in-time O'Neil momentum backtest where TypeSafe's System One model picks the entries and judges the exits

Message triage CLI in Go, built on the Jev decision model from TypeSafe AI. Categorizes messages, scores urgency, and flags low-confidence ones for human review.

A pluggable decision substrate for RAG pipelines; explicit, calibrated state → Decision → confidence → action gates, with Jev as the first swappable backend.

Sub-100ms security gate for AI agent tool calls, powered by TypeSafe's Jev (System-1) decision model. Single-request Choice/Noul/Score evaluation, dual-factor blocking matrix, calibrated-confidence routing, fail-closed parsing, zero-config local fallback. LangChain-ready.

Three measured experiments on RAG hallucination: quote-checking, TypeSafe's Jev, and IBM's STAIR. 850+ graded questions, raw responses included.

An automated research paper radar that fetches the latest papers from arXiv, evaluates their relevance to a configurable research profile using TypeSafe AI, and ranks them by relevance score. Designed for personalized, daily literature discovery across different research domains.

Real-time AI / solicitation / parrot-bot scores for X posts and replies. Chrome extension + Workers API on open-compute, judged by TypeSafe Jev.

Use the TypeSafe Jev decision model (System One) anywhere: zero-dependency OpenAI-compatible bridge for 9Router, Claude Code, Cursor, Cline & any OpenAI SDK. Typed yes/no, choice & score judgments via CLI or HTTP.

Unofficial .NET port of the TypeSafe AI client SDK (typed questions & answers)

Agent X-Ray — find out why your AI agents fail.

基于 Jev 的 A 股 T+1 决策台：盘前预选 + 交易时段全程决策 + 本地概率模型 + 严格成本回测 + QMT 桥接（默认不下单）。1 万本金影子盘记录中；策略未证实正期望（README 有全部数据）。

TypeSafe Jev semantic guardrails for Claude Code

（仅供娱乐，但是祝大家都会有自己喜欢的人和喜欢自己的人） 这个可以分析你的聊天记录，（通过调用国内的ai，减少一些阻碍）给出对于聊天下一步的分析和意见

Use DeepSeek/llamacpp like Jev

Use Jev to review a PR diff against the ten rules of Five Lines of Code

Home Assistant conversation integration powered by the Jev / TypeSafe AI API for fast, structured intent routing and device control

Issue triage that stays quiet when it isn't sure. Calibrated labels, spam and duplicate detection — with abstention.

A Jev-powered technical analysis workspace for China A-shares, supporting AKShare/Tushare, market scans, and Buy/Hold/Sell assessments with time horizons and traceable evidence.

TypeSafe Jev hooks for Claude Code, Codex and pi: per-turn skill suggestion and subagent model routing

Jev Router for Cursor - TypeSafe Jev picks COST/BALANCED/INTELLIGENCE, Cursor executes

三大クラウドの機能名を、TypeSafe AI の System One モデル Jev が確率つきで判定するデモ

An evidence-graded deep dive into Jev (TypeSafe AI's System One model): interface, verification, reproduction comparison, and field guide. Bilingual (EN/中文), with runnable probe tools.

A real-time firewall for AI coding agents: every Claude Code / Codex tool call is checked before it reaches your machine

Jev plus a decision head that learns from feedback: can a loop name a bias we planted in our own dataset?

Parsing the PDF and extracting the relevant information

Personal Chrome extension: Jev (TypeSafe) badges X and LinkedIn posts READ / MAYBE / SKIP against my own interest profile, in real time while scrolling

Java/Spring Boot MCP server for TypeSafe Jev

Patent disclosure and application drafting skill powered by TypeSafe Jev / Jeb System-1

An intent router for Neovim that classifies AI commands with Jev (TypeSafe's System One model) via the OpenRouter Decisions API, then routes execution to the matching handler.

FINS demo: a UiPath coded agent for AML alert triage where every decision is made by TypeSafe's Jev model (Noul/Score/Choice) instead of an LLM

Find out which qualities of your writing actually predict engagement. Rates every post you have published against a pre-registered rubric using Jev's calibrated judgments, then tests those ratings against your real engagement numbers. Refuses to report findings your sample cannot support.

Cut the noise on your X timeline: Jev (TypeSafe System One) scores posts on firsthand experience, promo, bait, depth, and relevance; your sliders decide what gets dimmed or collapsed.

Offline $0 decision layer for coding agents: Choice/Score/Noul primitives, BELKI confidence gatekeeper, ultra-planning, red-teaming, research and RLVR self-improvement -- as an MCP server + CLI + Claude Code skill.

A streaming event bus whose routing, subscription and consumption are decided by a probabilistic judge. The reference judge is TypeSafe AI's Jev (System One) model: send it a payload and a set of typed questions, get back calibrated probabilities instead of prose.

Teach your coding agent to stop burning context. Jev (System One) via OpenRouter or TypeSafe: 325ms, 0.000013 USD per decision. A/B tested 99.3% fewer input tokens with accuracy up. Ships a reversible reduce and a ledger that learns when Jev pays off.

Jev 决策的 Record / Replay 工具：CLI + 本地代理 + JSON 磁带，回放彻底离线。

Experiment to trick Typesafe’s Jev, aka “the language model that won’t talk” into actually talking.

Jev by TypeSafe AI for n8n: typed decisions, probabilities, and confidence-aware workflows

TypeSafe Jev plugin for example