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.
A user asked an AI assistant to summarize emails received that day and got a summary in under 30 seconds; it also handles meeting summaries, action items, calendar and drafts.
A user asked an AI assistant to summarize emails received that day and got a summary in under 30 seconds; it also handles meeting summaries, action items, calendar and drafts.
User connected LittlebirdAI to email, calendar, meetings and apps to build ongoing context. After church the user prompted it with a request for new mail while tired and the agent used its stored context to pull and summarize the day’s inbox. It also summarizes meetings with action items, checks calendar, drafts replies and creates routines.
Returned a clear summary in under 30 seconds. Reduced stress and mental load; no specific shortfalls reported.
Summarize all emails I received today in my [Gmail]. Group them as needs reply, FYI, and ignore, and list any meetings or deadlines mentioned. For the needs-reply group, draft short responses but don't send them. Finish with a summary I can read in under a minute.
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.