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.
OpenClaw emailed shower glass suppliers, collated responses, and handled the back-and-forth in a chat thread.
OpenClaw emailed shower glass suppliers, collated responses, and handled the back-and-forth in a chat thread.
User asked OpenClaw to research local shower glass suppliers then contact them. The agent sent emails on its own, gathered replies, and managed the back-and-forth conversation inside a single chat thread. Person gave ongoing oversight on domain-specific details.
It produced supplier quotes through email. It required heavy oversight and could not be trusted to place an order.
Needed serious oversight on domain-specific details.
Email these [type of supplier, e.g. glass] suppliers in [location]: [supplier list or 'find 5 near me'] and ask for a quote for [job details, dimensions, quantity, deadline]. Collect their replies into one comparison table with price, lead time, and notes. Show me each email before it is sent, and stop when you have quotes from at least [number] suppliers.
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.