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 user runs several Grok Bot agents: one updates a Google Drive sheet of properties, one replies to clients in their email tone, and one builds a day-job command center.
A user runs several Grok Bot agents: one updates a Google Drive sheet of properties, one replies to clients in their email tone, and one builds a day-job command center.
One commenter said they had several Grok Bot agents running at once: a real-estate bot that updates a Google Drive sheet with properties matching their requirements, an email bot trained on their tone to reply to clients about projects, and another bot building a day-job "Command Center" to keep them organized. In the same thread, others described Grok Bot as best suited to narrow, persistent jobs and as an orchestrator rather than the worker itself.
The commenter presented these bots as already in use, but did not give metrics or detailed results. Elsewhere in the thread, users said Grok Bot works better for focused monitoring and operations tasks than broad writing or coding work.
The source gives no setup walkthrough or numbers, so the main catch is that this example is only a brief comment, not a detailed case study.
Set up three jobs for me. First, keep my Google Drive sheet [sheet name] of [properties or records] up to date from [source, e.g. listings or emails]. Second, draft replies to client emails in my tone, using [3 sample emails] as a guide. Third, build a simple command center that shows my [key daily items]. Pause and show me each email draft before sending, and ask before overwriting any existing sheet data.
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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