Chat copilots and messaging with decision models

Windows WeChat reply assistant: local offline OCR reads the chat, Jev judges intent and tension and ranks three drafted replies to fill in.

AstrBot plugin where Jev decides whether the bot should join a group conversation; the main model still writes the reply.

Self-hosted Stacks blockchain data service whose Slack gate and fault-triage paths reportedly run on Jev decisions.

Personal AI assistant with eight memory types and multi-channel support; per the list, it has an optional Jev provider.

DeepSeek Harness plugin that classifies each user message's emotion, urgency and department with Jev and injects it as context.

DeepSeek Harness plugin that gives the human a Jev second opinion beside the agent's multiple-choice questions.

iOS custom keyboard that shows a copied message's intent, risk level and candidate replies inside any chat app, filling but never sending.

Windows desktop chat assistant that OCRs a selected chat region, has Jev analyse the conversation, and ranks drafted replies for copying.

Framework-independent participation gate letting group-chat agents answer untagged questions only when Jev finds a useful reason to join.

macOS chat overlay that reads the current chat window and shows the incoming message's intent, risk and candidate replies, read-only.

Unofficial fork of jev-chat-windows: WeChat overlay with local OCR and drafted replies, adding optional auto-send and a knowledge base.

WeChat reply assistant fork: DeepSeek drafts three replies, Jev pre-judges, reviews and ranks them; auto-send is cancellable.

Fork of the jev-chat Windows app adding a key-free local LAYA judgment backend and a DPI-aware screen capture fix.

Android chat co-pilot that reads the active chat via Accessibility and returns typed verdicts on intent, emotion and risk; never replies.

Android and Windows message-priority assistant where Jev scores urgency and reply-now for each message and sorts them by colour.

Windows version of XianHui that OCRs the visible WeChat window locally and uses Jev to rank which messages must be answered first.

Zero-dependency Android app that judges the visible WeChat message's intent, emotion, urgency and reply posture with Jev.

SillyTavern extension that asks your own Jev questions about each message and, when a rule matches, injects, rerolls or scripts.

Customer-service platform rebuilt from OpenAI's ChatKit sample where one Jev call decides intent, emotion and handling agent.

Android WeChat assistant where Jev judges the chat and scores the relationship, and a chat model drafts three replies.

WeChat plugin that classifies a long-pressed message's intent, emotion, urgency and suggested reply posture with Jev.

Pi extension where Jev decides whether a reply needs rewriting, then your model clarifies it and may add a small visual.

Chrome extension that drafts WhatsApp and Gmail replies and hides unproductive YouTube videos using a Jev yes/no question per video.

Windows tool that reads the local WeChat chat, redacts it, and has Jev judge conversation stage, intent, tension and next action.

Local-first work-message classifier that uses Jev to sort chat messages into urgent, to-do, worth reading and skip, with cross-chat to-dos.

Android WeChat assistant showing Jev emotion probabilities and intent readings beside messages; never sends replies.

TypeScript standard library for System One models: ready-made Jev methods with confidence gates and a turn-by-turn service agent.

Android overlay that reads on-screen chats, uses Jev to judge intent, risk and whether to reply now, then ranks drafted replies.

Floating live-call coach that transcribes locally and asks Jev after each sentence what to do next, shown with a confidence gauge.

Local chat analyser that labels each WeChat message's emotion and intent with Jev and grades how your replies landed.