# Triage across 1,500 emails

Ryan Vogel ran about 1,500 emails through Jev and sorted them by what each one needed.

Grade: A — A clean typed decision \(yes/no, a pick from a list, or a level on a scale\) that is concrete, repeats routinely, and has meaningful value.. Score: 3.82.

Vertical: Cross-industry.

Function: Knowledge work.

Status: Seen in the wild.

Volume: routine.

Value: meaningful.

Risk: moderate.

Evidence: built and shown.

Flags: check-fit.

- [Source](https://madewithjev.com/builds/inbox-triage-1500-emails)
- [Vertical](/verticals/cross_industry/)
- [Function](/functions/knowledge_work/)
- [Email spam/phishing detection](/use-cases/email-spam-phishing-detection/)
- [Jev decision primitive use cases](/use-cases/jev-decision-primitive-use-cases/)
- [AI inbox router that logs invoices, flags fraud, and drafts replies](/use-cases/ai-inbox-router-that-logs-invoices-flags-fraud-and-drafts-replies/)
- [Safe AI Email Triage: Extract, Classify, Route with Confidence Gates](/use-cases/safe-ai-email-triage-extract-classify-route-with-confidence-gates/)
- [AI email tag classification and routing](/use-cases/ai-email-tag-classification-and-routing/)
- [Context-switch cost gauge](/use-cases/context-switch-cost-gauge/)