EllisShang

Case Study

AI Phone Calling Agents for Real Estate

AI Engineer · Real-Estate Client · Oct 2024

Overview

Implemented AI calling agents that handle outbound and inbound real-estate calls with lead qualification and appointment scheduling.

Key Technologies

Vapi11 LabsNode.jsTypeScriptTwilioLLMsVector Search

Story & Process

Overview

I worked closely with a real-estate client to automate a large portion of their lead outreach and qualification workflow using AI agents.

Solution Design

The solution integrates telephony via Twilio, large language models (LLMs), and a custom vector-backed knowledge base so agents can answer domain-specific questions, capture intent, and schedule follow-ups.

The backend stack is built with Node.js and TypeScript, with careful prompt engineering and streaming speech-to-text to keep conversations natural and latency low.

Impact

This project significantly reduced manual call volume while improving lead qualification consistency.