Work & Operations
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.
n8n · Gemini
Build presentations and spreadsheets from web research
A user had Agent Mode build a presentation, draft an eBook and turn web research into spreadsheets; the author said the design was not award-winning but saved hours.
Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
Not reported
Use case overview
A user had Agent Mode build a presentation, draft an eBook and turn web research into spreadsheets; the author said the design was not award-winning but saved hours.
Reported experience
What they did
Daria Cupareanu used ChatGPT Agent Mode for three tasks. It built an AI-in-education deck from one near-bare prompt, then added her logo and brand colors. It drafted an eBook from her uploaded Substack posts in Google Drive plus approved outside sources. It crawled the Y Combinator directory into a Google Sheet and searched for each company's contact info.
How it went
The deck was functional but not award-winning. The eBook came out at 11 pages against the 20 requested and wasn't publish-ready. The sheet was raw but usable, though the agent stopped at the first page of 20 entries.
Worth knowing
Specify entry counts, output format and structure up front. Runs counted against her Plus plan's 40 monthly agent messages, and tasks took 10–30 minutes.
Example prompts
Research [topic] on the web using reputable sources, then build a [number]-slide presentation for [audience] and a spreadsheet with [the data points I need, e.g. competitors, prices, dates] with source links. Keep the design clean and simple. Finish by giving me both files to download plus a list of anything you could not verify.
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