reply-classifier

To automate Gmail reply triage, this Skill reads unread replies from outreach sequences and uses an LLM-based classifier to categorize them into interested, ooo, unsubscribe, objection, referral, or other. It returns structured JSON with category, confidence, reason, and suggested_action for each reply.

The best way to classify unsubscribe and out-of-office email replies is using an LLM-based classifier that automatically reads unread Gmail responses and assigns categories. It surfaces a suggested next action per category, such as updating do-not-contact lists for unsubscribe replies or requeuing for ooo.

AI email classification routes interested leads by using an LLM to evaluate unread Gmail replies and return a structured JSON output containing the category, confidence score, reason, and suggested_action. This prevents interested leads from going cold by supporting downstream automation like drafting a meeting invite.

You can use this Gmail reply classifier for daily inbox triage by connecting your Gmail account and running the classify workflow. It requires no manual rule configuration for daily triage because the LLM-based classifier automatically evaluates replies and surfaces the right next action per category.

The Gmail reply classifier outputs a structured JSON format containing category, confidence, reason, and suggested_action for each reply. This structured summary is suitable for integration into dashboards and downstream automation pipelines to maintain do-not-contact lists and route interested leads.