AI real estate agent: end-to-end ops automation (web, data, voice)

This suite automates distinct aspects of real estate operations: incoming web lead qualification, scheduled/manual data research and content generation, and automated voice call outreach with lead qualification. It leverages AI (primarily OpenAI GPT-4o Mini via Langchain), data processing nodes, and integrations with external APIs and Google Workspace.

Workflow 1: Incoming Web Lead Qualification & Scoring

This workflow captures leads from a web source, validates their input, uses AI to classify intent and urgency, checks against a property database, scores the lead, and prepares a structured lead object.

Tools & Services Used:

AI Core & Processing: OpenAI (GPT-4o Mini via Langchain Agent and Chat Model nodes) Data Processing: n8n Set, If, Code nodes External API: HTTP Request node (for PropertyCheckAPI)

Workflow Overview:

Trigger: Incoming Web Lead Webhook (/incoming-lead): Captures new leads submitted via a web form. Lead Data Ingestion & Validation: Set & Rename Incoming Lead Fields: Standardizes input field names from the webhook. IF User Message Valid: Checks if the userMessage field is present and meets a minimum length. Clean User Message Text (Code): Pre-processes the user's message (e.g., removes extra spaces). AI-Powered Lead Analysis: AI Classify Lead Intent & Urgency (Langchain Agent): Analyzes the cleaned user message to determine the lead's primary intent (e.g., buying, selling, inquiry) and the urgency of their request. Powered by: LLM for Lead Intent/Urgency Classification (OpenAI Chat Model - GPT-4o Mini). Extract Intent & Urgency from AI Output (Set): Structures the AI's classification into distinct fields. Data Standardization & Enrichment: Standardize All Lead Data Fields (Code): Further standardizes all collected data points for consistency. Call Property Check API (HTTP Request): Sends lead/property details to an external API (https://api.example.com/property-check) to verify listing status or gather more information. Lead Scoring & Finalization: IF Property is Known Listing: Checks the API response to see if a matchFound was "true". Calculate Web Lead Score (Code): If a known listing (or based on other criteria), this node assigns a numerical or categorical score to the lead. Set Final Structured Web Lead Data (Set): Consolidates all original, processed, classified, and scored data into a final, comprehensive lead object.

Workflow 2: Scheduled/Manual AI-Powered Data Research & Content Generation (Red Background)

This workflow fetches data from external URLs, extracts information using AI, allows a sophisticated AI agent to perform research and generate analysis using various tools, and outputs results to Google Sheets, Google Docs, and potentially other AI processing steps.

Tools & Services Used:

Orchestration & Automation: n8n AI Core & Processing: OpenAI (GPT-4o Mini via Langchain Information Extractor, Langchain Agent, and direct OpenAI nodes) AI Tools: Langchain Calculator, Langchain SerpAPI Data Storage & Output: Google Sheets, Google Docs Data Input: HTTP Request node

Workflow Overview:

Triggers: Manual Trigger for Data Analysis Flow: Allows on-demand execution. Scheduled Trigger for Data Analysis Flow: Automates execution on a defined schedule. Data Ingestion & Initial Extraction: Fetch External Data for AI Analysis (HTTP Request): Retrieves content from a specified URL. AI Extract Information from Fetched Data (Langchain Information Extractor): Uses an AI model to extract structured data from the fetched content. Powered by: LLM for Data Information Extractor (OpenAI Chat Model - GPT-4o Mini). Advanced AI Analysis & Tasking: AI Agent for Research & Content Generation (Langchain Agent): Processes the extracted information to perform in-depth research, analysis, or content creation. Powered by: LLM for Research & Content AI Agent (OpenAI Chat Model - GPT-4o Mini). Utilizes Tools: Calculator Tool for AI Agent: For numerical calculations. SerpAPI Web Search Tool for AI Agent: For performing real-time web searches to gather additional context or verify information. Output & Dissemination: The AI Agent's output is routed to multiple destinations: Update Google Doc with AI Agent Analysis (Google Docs): Inserts the generated analysis/content into a Google Document. Split AI Agent Output Items (Split Out) -> Log AI Analysis Data to Google Sheets (Google Sheets): If the agent produces multiple data items, they are split and logged individually into a Google Sheet. OpenAI: Generate Text from Agent (Output 1) & OpenAI: Generate Text from Agent (Output 2): These nodes likely take the agent's output for further specialized AI processing (e.g., summarization for different purposes, reformatting).

Workflow 3: Automated Lead Outreach & Voice Call Qualification (Green Background)

This workflow automates the initial contact with new leads via a voice call, uses AI to understand the lead's responses during the call, qualifies them, and logs the detailed interaction and a summary.

Tools & Services Used:

Orchestration & Automation: n8n AI Core & Processing: OpenAI (GPT-4o Mini via Langchain Agent and Chat Model nodes) Voice Services: ElevenLabs (Text-to-Speech via HTTP Request), Twilio (Place Call via HTTP Request) Data Storage & Output: Google Sheets Error Handling: n8n Execute Workflow Trigger

Workflow Overview:

Trigger: Webhook for Voice Call Lead (/new-lead): Captures new leads designated for an automated voice call. Call Preparation & Initiation: Set Initial Voice Call Lead Details: Extracts basic lead info (name, phone, property ref, email) from the webhook. Generate Voice Call Introduction Script (Function): Creates a personalized script for the call. ElevenLabs: Convert Intro Script to Voice (HTTP Request): Sends the script to ElevenLabs API to generate natural-sounding audio. Twilio: Initiate Voice Call to Lead (HTTP Request): Uses Twilio API to place the call and play the generated audio. AI-Powered Call Interaction Analysis: AI Agent: Extract Info from Voice Call (Langchain Agent): Processes the interaction from the call (e.g., a transcript of the lead's responses, or DTMF inputs if designed to capture them) to extract key qualification data like budget, timeline, and interest level. Powered by: LLM for Voice Call Info Extraction Agent (OpenAI Chat Model - GPT-4o Mini). Structure Extracted Voice Call Info (Function): Organizes the AI-extracted data into a structured JSON object. Lead Qualification & Data Logging: Set Lead Status Based on Call Interest: Updates the lead's status (e.g., "Interested" or "Not Interested") based on the AI's interpretation of the call. IF Lead Interested (from Voice Call): Branches the workflow based on lead status. If Interested: Assign Score to Interested Voice Lead (Function): Calculates a lead score based on budget, timeline, etc. Format Current Timestamp for Logging (DateTime): Generates a timestamp. Log Qualified Voice Lead to Google Sheets: Appends the detailed, qualified lead information to a 'Leads' Google Sheet. AI Agent: Generate Voice Call Lead Summary (Langchain Agent): Creates a concise summary of the entire lead interaction and qualification. Powered by: LLM for Voice Call Lead Summary Agent (OpenAI Chat Model - GPT-4o Mini). Log Voice Call Lead Summary to Google Sheets: Appends this summary to a separate 'LeadsSummary' Google Sheet. Error Handling (for Sheets Logging): IF Voice Lead Logging to Sheets Failed: Checks if the Google Sheets logging operation was unsuccessful. Error Trigger: Notify Admin of Sheets Failure (Execute Workflow Trigger): If logging fails, triggers a separate workflow to alert an administrator.