Today I completed my Real Estate AI Voice Agent system. This started as a voice-agent experiment, but I wanted to take it beyond simply answering calls. I also built a dedicated real estate website around the system to demonstrate the complete experience. Live website / demo: https://kimberly-dalton.vercel.app/ The system now connects the conversation to the actual business workflow: • Lead capture & qualification • Property search & details • Appointment availability & booking • Rescheduling & cancellations • Lead updates & status tracking • Property details delivery • Follow-up automation • Agent notifications • Human handoff • Call outcome tracking • Confirmation workflows Built with Retell AI + n8n + webhooks + CRM/database + calendar automation. The biggest lesson from this build: A voice agent is only one part of the system. The real value comes from what happens after the conversation — when the AI can understand, make decisions, take actions, update the business system, and know when a human needs to step in. Day 34 — from AI that talks to an AI system that actually takes action. Next step: stress-testing the system with messy real-world conversations and edge cases. #AI #VoiceAI #RealEstateAI #AIAutomation #AIAgents #n8n #RetellAI #CRM #Automation #BuildInPublic #Day34

A small update on the real estate AI voice agent I shared in my last post. I've been testing the agent and improving the actual workflow behind the conversations. Today I added 2 new functions: 📲 Send SMS The agent can now send property information directly to the caller when they ask for it. For example: Caller: "Can you text me the details of that property?" AI: Confirms → sends the property information/link via SMS. 👤 Update Contact Information The agent can now capture information during the call and update the contact record automatically. It can store things like: • Name • Phone number • Lead type • Bedrooms • Bathrooms • Estimated property value • Buyer requirements So the agent isn't just having a conversation anymore. It's actually collecting data and taking actions inside the CRM. The workflow is starting to look more like: Voice Call → Understand Lead → Collect Information → Update CRM → Property Recommendations → SMS → Appointment Booking I'm still testing different scenarios and improving the call flow. Next step is to keep adding capabilities that make the agent more useful in a real-world real estate environment. What function would you add next? Would love to hear some ideas from the community 👇

I'm trying to get better at building AI systems around real business problems, rather than just building cool AI demos. So I'm curious: What are the biggest repetitive, expensive, or frustrating problems businesses are dealing with right now that they would actually pay to solve? A few examples I've been thinking about: 📞 Missed calls → Lost customers AI voice agent answers calls 24/7, qualifies the caller, and books appointments. ⏱ Slow lead follow-up → Lost opportunities AI automatically contacts new leads within seconds/minutes and continues follow-up until they respond. 🧑‍💼 Too much manual lead qualification → Salespeople waste time AI qualifies leads based on budget, timeline, requirements, and intent before sending them to sales. 📋 Leads scattered across different platforms → No visibility AI captures leads from forms, ads, chatbots, and calls and pushes everything into one CRM. 🔁 Leads that never get followed up → Revenue left on the table Automated SMS/email/voice follow-ups can continue the conversation without someone manually chasing every lead. 📅 Back-and-forth scheduling → Time wasted AI handles scheduling, reminders, rescheduling, and confirmations automatically. But I'm interested in problems beyond these. If you run a business, work with businesses, or have worked in sales/operations: What is one problem that businesses complain about repeatedly? And more importantly: What problem is painful enough that a business would actually pay $500–$2,000+/month to make it disappear? I'm looking for problems worth building around—not just AI features. Would love to hear your ideas 👇

Today I built the get_property_details function for my Real Estate AI Voice Agent. The agent can now: Property ID → Google Sheets → Find Listing → Verify Status → Build Property Data → Generate AI Summary → Continue to Booking It handles active, unavailable, not-found, missing-ID, and system-error cases. This is no longer just an AI that talks. It can actually retrieve and work with real property data. Next step: connecting more tools for appointments, follow-ups, notifications, and human handoff. Day 31. #AI #VoiceAI #RealEstateAI #AIAgents #n8n #Automation #AIEngineering #BuildInPublic

After several rounds of testing, I’m happy to say the Real Estate AI Voice Agent I’ve been building inside GoHighLevel is ready to deploy. ✅ Over the last few days, I’ve: - 🧠 Refined the master prompt - ⚙️ Added and improved system prompts - 📅 Integrated appointment booking through the GHL calendar - 🔄 Added rescheduling - ❌ Added cancellation - 🔍 Added availability checking - 📚 Connected the Knowledge Base - 🧪 Tested the agent multiple times with different scenarios, questions, and tasks I specifically wanted to make sure it could handle more than just the “happy path” and behave properly across different types of conversations. After multiple tests, everything is working as expected. The agent is now ready for deployment. 🚀 Now I’m looking at the next step: what should I build next? Would love to hear ideas from the community — especially features that could solve a real problem for real estate businesses. What would you add? 👇