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 manages a Linear roadmap, prioritizes support conversations, handles calendar and todos, checks notifications, and manages sponsorship opportunities.
OpenClaw manages a Linear roadmap, prioritizes support conversations, handles calendar and todos, checks notifications, and manages sponsorship opportunities.
The agent runs on a DigitalOcean VPS with its own forwarded email inbox, delegate X account via custom browser proxy, Linear, Obsidian for todos/PKM, and PDF extraction skill. It creates Linear cards for issues, prioritizes and flags support inbox items, schedules calendar events from images/PDFs, checks X notifications and DMs, and tracks sponsorships. User set up the VPS, accounts, and skills then let it run.
After 10-14 hours of setup the agent already pays back massive dividends across roadmap, support, calendar, and todos.
Spent 10-14 hours setting it up.
Each morning, review my [Linear or other tracker] roadmap, my support inbox, my calendar, and my to-dos. Send me a prioritized summary of the top [number] things to do today, with draft replies for urgent support conversations. Show me any reply before it is sent, and don't change my roadmap without asking.
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.