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 team ran a multi-source competitor research report and a working landing page build through Manus, logging output and fixes needed.
A team ran a multi-source competitor research report and a working landing page build through Manus, logging output and fixes needed.
The team gave Manus two single prompts. One asked for a formatted report on five real project-management competitors, covering pricing, audience, features and user complaints from review sites. The other asked for a landing page for a fictional SaaS, with a working call-to-action button, built with the Web App Builder. They logged the time taken and the fixes needed for each.
The report took 8 minutes and worked well, but seat-minimum details were missing for 2 of 5 competitors. The landing page took 20 minutes with good design, but its form claimed an email was sent when none was.
Credits burn unpredictably on complex runs and "high service load" errors occur, so test with synthetic data first and check that every interactive element really works.
Research [number] competitors of [my company or product] using their websites, pricing pages, reviews and recent news. Produce a report covering positioning, pricing, strengths, weaknesses, and gaps I could exploit, with sources cited. Then build a working landing page for [my product] based on those findings, and list anything you couldn't verify or had to work around.
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.