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Versun on X: 刚看了下这个jev wechat项目，模型是用 jev + deepseek
@VersunPan@VersunPanlisted 51m agoreviewed by Jev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 ❤️ 6 likes on X
- Author
- @VersunPan
- Use case
- Inbox & Support
- Added
- 2026-09-25
All figures come from the author. Check the source before you quote them.
More in Inbox & Support
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- Edwin Mesa on X: Explorando qué se puede hacer con Jev y Laya, que (los de moda), me pregunté si ▲ 0x.com
- GitHub - Aimark-dai/jev-chat-windows-deepseek-jev: DeepSeek + TypeSafe JEV 微信回复助手：Windows 正式版、Apple Silicon macOS 预览版；本地 OCR 与人工可控回复▲ 0github.com
- MajdAICode on X: @sanchay_mittal One coding-agent pattern I’m exploring: /ticket-triage asks Jev ▲ 0x.com
- GitHub - duckegg0623-create/jev-wechat-live: 用 TypeSafe Jev 实时解读微信消息的桌面浮层 —— 未完成的实验项目，判定准确率不达标，附完整踩坑记录▲ 0github.com
Jev guides for this use case
- How Jev sorts a build into one of 21 use casesThe 21 criteria Jev classifies against, published in full, plus what the reviewer sees and how ambiguity is handled.
- What people actually build with Jev, by use caseAll 21 use cases with live counts from real submissions, plus what each one is actually for.
- Jev pricing, and what a real build actually costsPer-decision cost, the free-output explanation, and the input-price discrepancy nobody else flags.
Bid history
No bids yet — the first one takes this project straight to the spotlight.