Most agents think they have a closing problem. Usually it's a speed problem. Leads go cold in the gap between "enquiry received" and "someone replied." And most deals die in the follow-up, not at the negotiation table. So I built an AI agent that runs in the background of real estate teams. Here's the flow: → A buyer enquires on your property website → The AI Buyer Agent replies instantly and scores the lead → Viewings get booked straight into your calendar → Auto follow-ups keep buyers warm → You get an alert on your phone when a lead is ready → Everything is stored in your CRM Your team only steps in when a buyer is qualified and ready to talk. No chasing, no copy-pasting, no leads slipping through. I attached the flow and a demo video so you can see it in action. Honest feedback wanted 👇 Where do you lose the most leads: slow replies, weak follow-up, or booking? Would you trust an AI to handle the first response? What's missing from this flow? Drop your answers below. I'll reply to every one. 🙌

You should be spending more time closing deals, not chasing leads. So I'm curious: how do you handle your deal process today? I built an AI agent that runs in the background of real estate teams. It handles: → first response to every lead → automated follow-ups → scheduling viewings → updating the CRM along the way I attached a demo video so you can see it in action. Honest feedback wanted: Where does your team lose the most leads: slow replies, weak follow-up, or booking? Would you trust an AI to handle the first response? What's missing from this demo? Drop your answers below. 👇

Happy Monday everybody! I wanted to touch on how to evaluate a deal's financial performance 6-12 months post close using AI. Take a look at the process below: 1. Choose an LLM, upload the original underwriting and actual financial performance. 2. Use the prompt: "You are an intelligent financial analyst. Compare this property's original underwriting to the actual financial performance. Compare rental income, occupancy, operating expenses, NOI, and any other relevant metrics. Only use the information provided. Flag variances. Create a 1-2 page summary of your findings and insights." 3. A 1-2 page summary should be generated with the appropriate findings. You can certainly take this further by asking it to forecast financial performance for the upcoming 6-12 months (or your preferred time interval). As usual, I've included a visual below. Have a great week!

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Good evening, hope everyone is having a good week. My last posts have been honed in on deals. Everything from finding, analyzing, and stress testing them. But now I wanted to talk about comparing financing/loan options once you think you've found a solid deal and how AI could help with that. This one is relatively straightforward: 1. Upload several lender quotes and term sheets to ChatGPT or Claude. 2. Use the prompt: "You are an intelligent loan analyzer. Compare the following lender quotes/term sheets. Compare interest rates, LTV, amortization, fees, recourse, prepayment penalties, and other pertinent information and provide a side-by-side summary for each quote. 3. AI should give you a nice summary comparing each loan option. The final summary should be a good aid to your current due diligence process. As usual, I've included a visual. Have a great Friday!