Jevflake
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
Classification (分类), Content scoring (内容评分)
noul, choice, score: 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: macros/setup/handler.sql
Summary · 摘要
dbt package (with a Terraform module) that lets Snowflake ask Jev about table rows: it sets up external access to api.typesafe.ai and creates SQL functions jev_noul, jev_choice, jev_score and jev_ask, plus dbt macros and tests so answers are stored once, reused and checked.written by a model
dbt 包（附 Terraform 模块），让 Snowflake 就表中的行向 Jev 提问：它配置对 api.typesafe.ai 的外部访问，创建 SQL 函数 jev_noul、jev_choice、jev_score 和 jev_ask，并提供 dbt 宏和测试，使答案只存一次、可复用、可校验。模型撰写机翻
Notes · 备注
This row cites macros/setup/handler.sql, the Python handler the SQL functions run. Row content leaves Snowflake for TypeSafe's API. At one row per call, TypeSafe's rate limit of 1,200 calls a minute caps it near 72,000 rows an hour, per the README. 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.
本条目引用 macros/setup/handler.sql，即 SQL 函数实际运行的 Python 处理程序。行内容会离开 Snowflake 发往 TypeSafe 的 API。README 说明，按每行一次调用计算，TypeSafe 每分钟 1,200 次的速率限制使其上限约为每小时 72,000 行。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/jevflake.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.