Regex couldn't sort my sales emails. A yes/no judgment model could

说明与用途

正则和 Gmail 过滤器无法分类销售邮件，作者使用 Jev 模型对每封邮件进行判断，成功将收件箱从 92 条减少到 2 条。

问题

Gmail filters and regex failed to separate sales pitches, auto‑replies, newsletters, and bounces from genuine replies, leaving the inbox cluttered.

结果

The automation reduced inbox clutter from 92 to 2 messages, correctly filtering out pitches, auto‑replies, and bounces while preserving necessary replies.

工作流

• 1. Identify email types that can be handled by code (bounces, invoices, payments, contracts).
• 2. For each remaining email, send a single request to TypeSafe AI’s Jev system with five noul questions: human, needReply, counterSales, meetingRequest, stopRequest.
• 3. Run each request twice and only act when both runs agree on the same verdict; otherwise flag for manual review.
• 4. Apply threshold lines per question (e.g., human yes 0.5, no 0.3) to decide actions.
• 5. Cache judged message IDs to avoid double‑charging.
• 6. Schedule the process to run every five minutes.

证据

On October 2, 2026, it took the inbox from 92 messages to 2.

来源

I used Jev from TypeSafe AI. It's what TypeSafe calls a System One model...

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On October 2, 2026: about 70 pitches and invites moved to "no reply needed"

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