jev-apply
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
Structured extraction (结构化抽取), Human escalation (人工升级)
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/jev/client.mjs
Summary · 摘要
Job-application skill for CLI agents with a memory of your answers: Jev picks which saved answer fills each field of a Greenhouse, Ashby or Lever form, with an explicit none-of-these exit, and below a confidence threshold the field goes back to you instead of being guessed.written by a model
面向命令行智能体的求职申请技能，会记住你的答案：Jev 为 Greenhouse、Ashby 或 Lever 表单的每个字段挑选合适的已存答案，并始终提供“都不合适”的出口；置信度低于阈值时，该字段交回给你，而不是去猜。模型撰写机翻
Notes · 备注
Experimental, per the README; Playwright fills the form and reads it back. An optional writer model (OpenAI or a compatible endpoint) drafts essay answers from your saved material; Jev never writes text. Thresholds (ask below 0.5) are the author's starting points. 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.
README 说明仍属实验性质；由 Playwright 填写表单并回读核对。可选的写作模型（OpenAI 或兼容端点）根据你已保存的材料起草问答题答案；Jev 从不生成文本。阈值（低于 0.5 即询问）是作者设定的初始值。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-apply.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
jev4pg
Natural-language SQL and 41 semantic operators for PostgreSQL. Filtering, extraction, ranking, matching and verification go to Jev in bounded batches with validated answers; a choice option needs 0.55 and a noul 0.8 to count. The authors report 98% accuracy against 92% for pg-jev's request path.
jev-design
Experiment in having Jev design a dashboard: from a one-sentence brief like "an 18th century printed book", two staged requests of choice, score and yes/no questions pick every visual token (colour, type, radius, icons) from a catalog a person wrote, and an engine applies them to a Next.js console.
smart-paste
Fills form fields from pasted text: the form's heading, labels and your text go to TypeSafe, and it inserts the values it matches for you to review before submitting.
jeveryword
Text extraction with Jev: field extraction, PII detection and exact quotes, built on TypeSafe's Jev.
jev-macos-loop
Computer-use agent for native macOS apps on Apple silicon: OmniParser CoreML, Apple Vision OCR and accessibility labels find a window's controls locally, and Jev picks the next action with a choice from the observed text, never pixels. Input is guarded, and benchmarks check results, not Jev's DONE.