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.
Grok Bots watch incoming email, summarize, research, draft replies, extract invoice details, flag urgent items and complete next steps with connected tools.
Grok Bots watch incoming email, summarize, research, draft replies, extract invoice details, flag urgent items and complete next steps with connected tools.
Grok Automations are set up with email triggers that fire on matches to sender, recipient or subject filters; the email itself supplies context. The agent then summarizes the message, researches the topic, drafts a reply, extracts invoice details, flags urgent items, and calls connected tools or files to finish next steps. A person describes the job once, attaches files and connectors, or tells Grok what to do in chat; each run saves as a reviewable conversation.
No specific results or numbers are stated. The source only describes the general capabilities and delivery options via app notification or email.
Watch my inbox at [email address]. For each new email, write a two-line summary, flag it as urgent or not using these rules: [rules], and draft a reply when one is needed. If it's an invoice, extract the vendor, amount, due date and invoice number into [spreadsheet or tool]. Do not send any reply or pay anything until I approve it.
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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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.