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.
Poster linked a ChatGPT-based assistant to OpenClaw on an old Mac to resume project work, but it keeps forgetting the app's business goals and audience.
Poster linked a ChatGPT-based assistant to OpenClaw on an old Mac to resume project work, but it keeps forgetting the app's business goals and audience.
The poster used a ChatGPT business account tied to OpenClaw on an old Intel MacBook they had turned into a server, after following setup steps involving Homebrew, Node, Docker, n8n, Tailscale, plugins, device pairing, approvals, and Codex supervision. The goal was for it to retain project context, access Microsoft 365 and Airtable work, and follow through on tasks, but the person mostly ended up pasting errors back into ChatGPT and following its troubleshooting instructions.
It did manage to resume a project, but immediately hit the same usage limit they were trying to avoid. The result was more maintenance than assistance, with the poster saying they had effectively become the admin of an AI stack they did not understand.
A commenter’s practical rule was that if it saves five hours a week but takes four hours to maintain, it is just another responsibility.
Act as my business assistant for [app/business name]. Keep a file with our business goals ([goals]), target audience ([audience]), and current project status, and read it at the start of every session before resuming work on [project]. At the end of each session, update the file with what you finished and what's next, and ask me before sending anything or making changes outside the project.
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.