Answer patient enquiries for a clinic by chat
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
Author built an agent that runs when unread emails arrive and analyzes each one, without auto-replying absent approval.
Author built an agent that runs when unread emails arrive and analyzes each one, without auto-replying absent approval.
Wyndo built a Make.com scenario that uses Gmail's Watch New Emails trigger to start when unread mail arrives. Make's AI Agent module, running on an OpenAI API key, checks each email's sender, subject and content against his triage rules. It labels, archives or flags each one, then sends him a summary email. The system prompt and the rest of the build are behind the paywall.
He says he woke up to a summary of 3 urgent, 2 newsletter-idea, 1 follow-up and 4 archived emails, without opening Gmail. The source doesn't describe how the approval step works.
Costs about $12-15 a month: a Make.com paid plan from $9 a month, plus $5-10 of OpenAI credits that he says last 1-3 months.
Build a workflow that triggers whenever a new unread email lands in [Gmail or Outlook account]. For each one, have the AI summarize it, label it as [categories, e.g. urgent, needs reply, FYI], and draft a suggested reply for anything that needs one. Send me the summaries and drafts in [Slack or email digest] for approval, and never send a reply automatically until I approve it.
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
An n8n workflow has AI classify web-form jobs by type, urgency and summary, create an Airtable record, reply instantly and flag uncertain cases.
Lindy agents summarized meeting notes, sent action items to teammates, suggested knowledge-base replies on support tickets, and handled follow-up emails and calendar updates.