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.
NightShift detects store issues overnight, auto-fixes safe ones, and audits every action, shown in a YouTube demo.
NightShift detects store issues overnight, auto-fixes safe ones, and audits every action, shown in a YouTube demo.
NightShift is an autonomous AI agent fleet of 5 specialists given access to a Shopify store. The agents ran overnight to detect issues, auto-fixed safe ones on their own, and asked for approval before any risky action. Every step was audited.
A YouTube demo shows the fleet running the store overnight.
Build a workflow that runs every night on my Shopify store [store name]. It should detect issues like [out-of-stock best sellers, broken links, failed orders, price errors], auto-fix only low-risk ones such as [safe fixes], and log every action to [Google Sheet or Slack]. Anything risky should be sent to me for approval before it runs, and I should get a morning summary.
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.