jevfill
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
No reading of its primitives is recorded. 没有记录原语的阅读结果。
a person read the call site 有人读过调用点 · · Cited file / 引用的文件: src/jev/client.ts
Summary · 摘要
A Chrome extension that fills web forms from unstructured notes with Jev: paste your details once as plain text, with no structured profile, then fill forms on demand.
一个 Chrome 扩展:用 Jev 根据零散的文字笔记自动填写网页表单。把个人信息以纯文本粘贴一次即可,无需结构化档案,随时按需填表。机翻
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/jevfill.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.