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.
Manus turned a large lead CSV into a dashboard in about 20 minutes and charted coffee shop sales data with Python, though it sometimes looped and drained credits.
Manus turned a large lead CSV into a dashboard in about 20 minutes and charted coffee shop sales data with Python, though it sometimes looped and drained credits.
The reviewer ran Manus for 30 days on the $20/month Standard plan and gave it raw coffee shop sales CSVs. It spun up subagents that wrote Python scripts to analyze the numbers and build charts. A separate user reviewer fed it a massive CSV of leads. If the agent hits a paywall or login, you take over manually and it resumes.
The user review says the lead CSV became a clean dashboard in about 20 minutes. The sales data was processed well and charted. Error loops burned credits, and the site rates value for money 2 out of 5.
Failed or looping tasks still cost credits. One user lost all their credits in 10 minutes, and the review says one glitch can burn 8,000 credits, so watch runs closely.
I'm attaching [a CSV of leads or sales data]. Clean the data, then build an interactive dashboard showing [key metrics, e.g. leads by source, revenue by month, top products] with clear charts and a short summary of the main insights. Finish when the dashboard is ready to open and share, and tell me about any rows you had to drop or fix.
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
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