The author reviews a WeChat automation project using Jev + DeepSeek: it reads the app node tree via Android accessibility services, falls back to screenshots plus local OCR, keeps only the last 10 messages as context, and notes WeChat can detect it with a risk of account bans.
刚看了下这个jev wechat项目，模型是用 jev + deepseek 通过 Android 无障碍服务读取App 的节点树，兜底是用截图 + 本地 OCR 上下文只有最近 10 条消息 微信能监测到，有封号危险
LLM holds memory/context, uses agent-desktop to take snapshots and sends them to Jev, which selects the right element to act on for faster Computer Use, with Cursor enabled and headless support.
Riley Brown shares that TypeSafe AI's Jev classified 500 emails in seconds for just 3.5 cents, highlighting its fast and low-cost email classification.
A comprehensive explainer video introducing Jev, an AI that doesn't write text but determines which department to route inquiries to and how urgent they are.
