Two-Way Property Repair Management System
Tenants submit repairs via form; system assigns a unique ID, emails managers.
Afternoon (est.) Automation
This directory currently includes 10 recipes for real estate, across 5 workflow patterns. It shows the range of work covered today, while making it easy to see where your own process needs a more specific build. Real estate work depends on fast responses, accurate property context, and a steady flow of follow-up across listings, leads, and appointments. This collection brings together agent workflows for qualifying inquiries, matching properties, monitoring listings, preparing client updates, and keeping information moving between messaging tools and a CRM. The useful patterns are grounded in a real trigger, such as a new inquiry or a listing change, and leave room for an agent or broker to review the outcome before it becomes a commitment. That makes the examples more practical than a generic chatbot pitch. Browse the recipes to identify the point where your team repeatedly copies details, asks the same qualifying questions, or loses track of an inquiry, then use that as the first automation boundary.
Tenants submit repairs via form; system assigns a unique ID, emails managers.
Receives real estate inquiries via webhook, extracts preferences using LLMs, matches properties from PostgreSQL.
Upload a photo to Airtable and the agent identifies the item via image search then fills in its specs automatically.
Queries property data for high-equity or distressed homes, skip traces owners, scores leads, pushes them to your CRM.
New property inquiry form? The agent scores the lead by budget and timeline, then saves qualified prospects to Airtable and emails you.
Instantly texts new website leads to qualify them via chat, logging budget and preferences to Google Sheets.
Every week, it scrapes LoopNet for new commercial listings and saves the structured data to your Google Sheet.
Scrapes real estate listings from paginated sites using AI extraction and saves unique properties to a Google Sheet.
New form submission? The agent cleans the data, matches properties within budget tolerance, emails listings to the buyer.
When a property listing row is added or updated in Google Sheets, it automatically generates a Bitly short link and QR code image.
An AI agent can qualify incoming inquiries, match leads with available properties, monitor listings, prepare follow-up messages, and keep lead information organized. It can make the first response faster while the agent remains responsible for advice and negotiations.
Yes. It can collect budget, location, timing, property type, and other basic requirements, then route the lead to the right person or next step. The questions and escalation rules should be set by the brokerage.
That can work for confirmations, reminders, and clearly approved replies. For pricing, legal statements, or nuanced buyer and seller conversations, use review or handoff to a human.