The Real Estate Agent
Automate real estate workflows: property alerts, auto-comparables, CRM updates, open house scheduling, and client communications.
🧂 Ingredients
🔌 APIs
property_listings_and_zestimate_data
🔄 Alternatives:
neighborhood_analysis_commute_times
🔄 Alternatives:
client_communications
🔄 Alternatives:
schedule_showings_and_open_houses
🔄 Alternatives:
generate_property_descriptions_and_comparables
🔄 Alternatives:
📋 Step-by-Step Build Guide
Monitor new listings matching each client's criteria
Monitor new listings matching each client's criteria
Monitor new listings matching each client's criteria Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully — retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
For matching properties, auto-generate comparable analysis
For matching properties, auto-generate comparable analysis
For matching properties, auto-generate comparable analysis Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully — retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
Calculate commute times to client's workplace via Google Maps
Calculate commute times to client's workplace via Google Maps
Process the data and calculate the requested metrics. Steps: 1. Validate input data — check for nulls, out-of-range values, duplicates 2. Apply the calculation/aggregation logic 3. Compare against benchmarks or previous periods if available 4. Format results with appropriate precision (2 decimal places for percentages, whole numbers for counts) Include: current value, previous value, change (absolute and %), trend direction (↑↓→). Flag any anomalies: values >2 standard deviations from the mean. If insufficient data for a reliable calculation, state the minimum needed and return partial results.
Score neighborhoods (schools, restaurants, transit, safety)
Score neighborhoods (schools, restaurants, transit, safety)
Score neighborhoods (schools, restaurants, transit, safety) Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully — retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
Send personalized property alerts to clients
Send personalized property alerts to clients
Send a notification to the user via the configured messaging channel.
For Pushover:
POST https://api.pushover.net/1/messages.json
Body: { token: {APP_TOKEN}, user: {USER_KEY}, message: "{notification_text}", title: "{title}", priority: 0 }
For Twilio SMS:
POST https://api.twilio.com/2010-04-01/Accounts/{SID}/Messages
Body: To={phone}, From={twilio_number}, Body={message_text}
Keep the message concise — under 160 characters for SMS, under 500 for push.
Include the most actionable information first.
Log: timestamp, channel, recipient, message preview, delivery status.Schedule showings and open houses on calendar
Schedule showings and open houses on calendar
Schedule showings and open houses on calendar Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully — retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
Track client interactions and preferences in CRM
Track client interactions and preferences in CRM
Track client interactions and preferences in CRM Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully — retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
Generate weekly market summary for your farm area
Generate weekly market summary for your farm area
Compile the gathered data into a structured report. Format as clean Markdown with: - Title/date header - Executive summary (2-3 sentences) - Key metrics section with actual numbers - Detailed sections with bullet points - Action items or recommendations at the end Keep it scannable — busy people read reports in 30 seconds. Use emoji sparingly for visual anchors (📊 metrics, ✅ wins, ⚠️ concerns, 📋 action items). Include data comparisons: "X this period vs Y last period (↑Z%)" If any data source was unavailable, note it clearly: "⚠️ [Source] data unavailable — excluded from this report."
🤖 Example Agent Prompt
Monitor new listings matching each client's criteria Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully — retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
Copy this prompt into your agent to get started.