Diante Carway
Lost time, inconsistent lead handling, and missed high-intent opportunities
Before the system was built: - Leads came in without structured qualification - Agents manually asked repetitive questions (budget, timeline, pre-approval) - Buyers were not immediately matched with relevant listings - Sellers lacked a structured CMA intake process - MLS updates required manual interpretation and follow-up - Response time was inconsistent and delayed
I built a multi-agent AI lead system that activates the moment a visitor engages with the website.
🤖 Agent 1 — Personalized Confirmation Engine Immediately sends a tailored email to the lead using their exact responses. For sellers: * Personalized CMA preparation message * Request for home walkthrough * Clear next-step breakdown (valuation process) For buyers: * Engagement confirmation * Next-step call scheduling * Personalized tone based on intent and timeline This ensures every lead feels individually handled, even though it is fully automated. ⸻ 🏡 Agent 2 — Buyer Listing Matching Engine For buyer leads only: * Pulls daily updated MLS listing data (via Paragon export sheet) * Matches buyer criteria against available inventory * Selects the 3 most relevant listings Matching logic includes: * Budget alignment * Property type * Location preference * Availability fit This eliminates manual searching and speeds up buyer response dramatically. ⸻ 📊 Agent 3 — Realtor Intelligence & Seller Intake Engine This agent handles two critical outputs: For buyers: * Sends the 3 matched listings to the realtor instantly * Gives the agent ready-to-send recommendations * Enables immediate outreach without research time For sellers: * Structures full property intake data * Prepares CMA-ready information packet * Enables faster valuation and listing preparation
