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 had Claude complete 50 individual work forms using public information, then proofread them and found them accurate.
A user had Claude complete 50 individual work forms using public information, then proofread them and found them accurate.
The user was assigned 50 different insurance forms, each with unique fields, and had Claude fill them out. They say the task used only public information available on company websites under workplace AI guidelines, and the human step was proofreading every form afterward to check accuracy.
Claude completed all 50 forms, and the user says their review found them accurate. It turned a job they estimate would have taken over an hour into about five minutes, and their boss liked it enough to build it into the team’s process.
The main catch was governance: they say this was approved only because the data was public and their company had rules for what could be shared with Claude.
I have a form template at [file path] and need [number] copies filled in, one for each item in [list or spreadsheet]. Use only public information from [sources, e.g. company websites] to complete each one, and flag any field you couldn't verify rather than guessing. Finished means all forms saved in [output folder] plus a summary of the flagged fields. Do not submit or send any form; just save them for my review.
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.