Inbox Zero: seven email decisions
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
Intent routing (意图路由), Classification (分类), 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: apps/web/utils/decision-model/decision-model.ts
Summary · 摘要
Seven distinct email decisions, each with its own separately chosen threshold, falling back to the normal LLM on any error.
七个互不相同的邮件决策，每个都有自己单独设定的阈值，任何出错都回落到普通 LLM。
Notes · 备注
The best answer to "what threshold should I use?" — there isn't one. Different decisions here sit anywhere from 0.3 to 0.9 depending on what being wrong costs.
「阈值该设多少」的最佳答案是：没有单一答案。这里不同决策的阈值从 0.3 到 0.9 不等，取决于判错的代价。
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/inbox-zero-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
TypeSafe AI n8n node
TypeSafe's own n8n community node. Evaluate asks Jev typed questions about each item and adds the answers; Route sends each item to an output by one answer, with a fallback output for low-confidence choices and an uncertain one between two noul thresholds. AI Agents can use it as a tool.
AutoGPT TypeSafe blocks
Seven production blocks — choice, score, yes/no, ask-many, route, pick-best, filter — with a UTF-8 byte budget, verbatim wire capture and eleven test files.
Airflow LLMBranchOperator with Jev
Turns downstream task ids into a choice option set, with a minimum-confidence gate that routes uncertain runs to a human.
jev-chat-jarvis
An Android reply co-pilot that judges intent, timing and risk from on-screen text, while separate models handle OCR and drafting.
vellum-assistant
Personal AI assistant with eight kinds of memory that works across apps and chat channels. Its experimental TypeSafe provider sends the conversation to Jev as state and by default asks one noul, whether the latest message asks for a specific action, replying with the answers as JSON.