Jev-Mail
Project / 项目 · In the catalogue / 在目录中查看
What Jev decides here · Jev 在这里做什么决定
noul, choice: read in the code by a model, not yet by a person 由模型在代码里读到，尚无人复核
a model read the call site; no person yet 模型读过调用点，尚无人复核 · · Cited file / 引用的文件: src/gas/worker.ts
Summary · 摘要
Gmail inbox classifier that runs on Google Apps Script and is managed from a CLI: for each thread Jev judges whether it needs action, whether it deserves a star and which configured category it belongs to, and the worker labels, stars or archives it. Ambiguous answers stay in the inbox.written by a model
运行在 Google Apps Script 上、由命令行管理的 Gmail 收件箱分类器：对每个会话，Jev 判断它是否需要处理、是否值得加星，以及属于哪个已配置的类别，然后由后台任务打标签、加星或归档。答案模糊的邮件留在收件箱中。模型撰写机翻
Notes · 备注
Label-only by default; archiving must be turned on. Sends the sender, recipient, subject, a body snippet of up to 1,000 characters and limited earlier context to TypeSafe. Setup needs your own Google Cloud project and OAuth client. Row drafted from the discovery queue (issue #14) by an AI assistant that read the README and the cited file on 2026-11-03; a maintainer has not yet read the call site.
默认只打标签，归档需要手动开启。会把发件人、收件人、主题、最多 1,000 字符的正文片段以及有限的往来上下文发送给 TypeSafe。安装需要你自己的 Google Cloud 项目和 OAuth 客户端。本条目由 AI 助手根据发现队列（issue #14）起草，于 2026-11-03 阅读了 README 和所引文件；维护者尚未亲自阅读调用点。
Launches · 发布记录
Not launched yet. 还没有发布过。 Launch it / 发布它 ↗ · How a product launches / 怎样发布一个产品
Makers · Maker
Made this? Confirm or correct its entry / 这是你做的？确认或更正条目 ↗
The same form takes the product's one line and a demo link, in its maker's own words. 同一个表单也可以补上产品的一句话和演示链接，用 Maker 自己的话。
Badge for its README · README 徽章
[](https://kydlikebtc.github.io/awesome-jev/products/jev-mail-vynnlee.html)One line for the product's README, linked to this page. The picture says that it is listed; while it is on the launch board, that it is launching; after a week in the top three, its place. It is rebuilt with the site, so the line never needs changing. 放进产品 README 的一行，链接到本页。图片显示已收录；在发布榜上时显示正在发布；进过某周前三后显示名次。它随网站一起重建，这一行不用再改。
Also under this pattern · 同一模式的其他产品
json-render
Vercel Labs' generative UI framework. In its Jev experiment the model does not write JSON token by token — it only picks components, props and layout.
Inbox Zero: seven email decisions
Seven distinct email decisions, each with its own separately chosen threshold, falling back to the normal LLM on any error.
pg-jev
A real PostgreSQL extension exposing the primitives as SQL functions, so a semantic decision can appear in a WHERE clause over any row type.
jev-mcp
A ready-made judgement toolbox for agents: fact verification, content screening, semantic ranking, classification and extraction as separate tools.
docjev
Classifies and splits PDF, DOCX and PPTX files: LiteParse extracts page text locally, then Jev picks a document's category with a choice over your rules, or for a packet answers per page a category choice and a noul on whether a new document starts there. Its report covers 40 real PDFs.