patrol-jev
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
choice, noul: 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/core/jev.ts
Summary · 摘要
Web app for Korean district-office street patrols: photos go in and a patrol log comes out as text or an .hwpx file. Claude or OpenAI turns each photo into text; Jev files it under one of four log sections, reads whether an address plate shows and judges whether two photos are the same spot.written by a model
面向韩国区政府街道巡查的网页应用：上传照片，生成巡查日志文本或 .hwpx 文件。由 Claude 或 OpenAI 把照片转成文字；Jev 判断它属于日志四个栏目中的哪一个、照片里是否有门牌，以及两张照片是否拍的是同一地点。模型撰写机翻
Notes · 备注
README in Korean. Describing photos needs a Claude or OpenAI key; a manual mode calls no model. The questions are in src/core/judgment.ts. No accounts or database: records stay on the user's machine. Row drafted from the discovery queue (issue #14) by an AI assistant that read the README and the cited file on 2026-11-02; a maintainer has not yet read the call site.
README 为韩文。描述照片需要 Claude 或 OpenAI 密钥；手动模式不调用任何模型。问题定义在 src/core/judgment.ts。没有账户和数据库，记录只保存在用户自己的电脑上。本条目由 AI 助手根据发现队列（issue #14）起草，于 2026-11-02 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/patrol-jev.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.