Jev ecosystem projects — page 58

No project description available.

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

No project description available.

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.