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.
An OpenClaw agent sends a Telegram morning briefing, drafts weekly client status emails sent after one-tap approval, and chases follow-ups, cutting admin from about 9 hours to 20 minutes.
An OpenClaw agent sends a Telegram morning briefing, drafts weekly client status emails sent after one-tap approval, and chases follow-ups, cutting admin from about 9 hours to 20 minutes.
OpenClaw runs on an always-on Mac Mini with Claude as the model. Three skill files and a Lobster workflow do the work. Weekday 8AM, it checks GitHub PRs and Slack for action items and posts a Telegram briefing. Fridays it drafts a client status email from merged PRs and closed Linear tickets. The author replies "send" to send it through Gmail.
The author reports admin falling from about 9 hours a week to about 20 minutes, with setup taking 47 minutes. The status email tone needed two rounds of refinement.
The author runs with the sandbox disabled to give the agent shell access to the gh and linear CLIs, and advises starting sandboxed and enabling only the tools each skill needs.
Every weekday at [time] send me a Telegram morning briefing covering my calendar, unanswered client emails and tasks due today. Every [day] draft a short status email for each of my clients [client names] based on my recent work notes and emails, then message me each draft so I can approve it with one tap. Do not send any email until I approve it, and flag any client who hasn't replied in [number] days with a suggested follow-up.
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.