Work & Operations
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.
n8n · Gemini
Run a commercial real estate business with an AI agent
Drew McAllister's agent flagged counteroffers by text, built owner follow-up lists, tracked bids, drafted emails, read lease redlines and flagged deadline conflicts.
Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
Not reported
Use case overview
Drew McAllister's agent flagged counteroffers by text, built owner follow-up lists, tracked bids, drafted emails, read lease redlines and flagged deadline conflicts.
Reported experience
What they did
Agent lived in inbox and calendar. It monitored emails to text counteroffer details on arrival, built owner follow-up lists and best-and-final trackers, drafted escrow emails and thank-you notes, extracted names from 6 months of email plus 13 contact screenshots into a protected list, flagged lease redline issues and deadline conflicts like SBA funding, and wrote Claude prompts from its outputs. User reviewed and sent everything.
How it went
Ran 8 days with no reversals required; prevented at least one closing conflict and kept buyer-agent relationships active after selection.
Example prompts
Act as my assistant for my [commercial real estate] business. Watch my email for counteroffers and text me when one arrives, build a follow-up list of [property owners] from my notes, track open bids, and flag any lease redline or deadline conflicts. Draft emails for me but do not send any until I approve them.
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