This n8n workflow automates the process of capturing real estate leads via a form, engaging with prospects through SMS using Twilio, and utilizing AI to qualify the leads and gather essential information. It leverages services like OpenAI for conversational AI, Twilio for messaging, Postgres (via Supabase) for storing chat memory, and Google Sheets for logging interactions. The workflow begins when a user submits a form with their phone number, then initiates a personalized SMS chat. An AI agent conducts a qualification conversation, asking key questions about real estate preferences, while storing chat history for context. After the conversation, the system summarizes the chat, logs data into Google Sheets, and notifies the owner with a detailed lead summary. This setup efficiently qualifies leads, captures valuable insights, and keeps your sales pipeline active with minimal manual effort.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryPostgresChat, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, formTrigger, googleSheets, if, postgres, stickyNote, twilio, twilioTrigger, wait