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July 31, 2026 · 3 min read
A Note From Behind the Lens,
The pattern I keep seeing with AI is simple — the people who decide to actually learn it are the ones getting results. Not the ones talking about it. Not the ones waiting for it to settle down and become obvious. The ones sitting down, poking at it, and working out how to apply it to what they're already doing right now.
That's the whole trick. Make it work for you.
And I mean you. You'll hear people say "oh, that was my AI that did it," like it wandered off and closed a deal on its own. It didn't. Somebody sat down and told it what to do, checked the work, and knew enough to catch it when it was wrong. At the end of the day, you're the one in control of it. Let that sink in — because it means the advantage isn't going to the person with the best tool. It's going to the person who took the time to learn the one they've got.
It's catching on faster than you'd think, too. Mortgage companies are realizing that to use it, they've got to learn it. Builders are speeding up how they evaluate land and vet vendors. And agents are quietly using it for the parts of the job that eat the day — listing copy, follow-up that actually sounds like them, market summaries a client can read without calling for a translation. None of that is flashy. All of it gives you hours back.
The vendors are scrambling with the same question the rest of us are: how does this work for my business? Everybody's trying to hold onto their clients while the ground moves under them. That part isn't new. The pace is.
So pay attention this week. We've got a few things below we think will help.
Have a great summer weekend.
This week, the question isn't whether AI will impact your real estate business—it's who's liable when it goes wrong. We're seeing real accountability questions surface as AI moves from pilot programs to production, plus practical examples of how land analysis and homebuilder workflows are getting compressed from weeks to minutes. Here's what agents actually need to know.
- Tony (with Alan)
INDUSTRY SHIFTS
HousingWire
Mortgage servicers can't hide behind vendor AI when account decisions go wrong—you remain responsible under OCC model risk guidance and GSE requirements. This is a critical wake-up call for any real estate professional using third-party AI tools. If you're delegating to AI, you still own the outcome.
HousingWire (Prophetic)
AI-native land acquisition tools are cutting site analysis from hours to minutes, letting builders evaluate 1,000-2,000 properties where they'd previously analyze dozens. This speed advantage is reshaping how developers find and assess land, which means agents working with builders need to understand these accelerated timelines. The acquisition game is moving faster than ever.
WORTH WATCHING
HousingWire (Made Card)
With recapture rates stuck at 20-30%, lenders are testing post-close engagement tools that keep them connected to homeowners through everyday spending. Made Card's approach shows early traction with 73% engagement metrics. For agents, this signals a broader trend: staying relevant means finding touchpoints beyond the transaction.
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3 AI PROMPTS TO TRY THIS WEEK
AI Tool Liability Checklist
I'm a real estate agent considering using AI tools for [client communications/property valuations/market analysis]. Help me create a 5-point checklist to evaluate whether I understand my liability and responsibilities when using third-party AI vendors. Include questions about data accuracy, decision ownership, compliance requirements, and what happens when the AI makes a mistake. Make it specific to real estate transactions.
Speed-Based Value Proposition
Help me write a 150-word explanation for my builder and developer clients about how AI is accelerating land acquisition and property analysis timelines in the industry. Frame it as both an opportunity (we can move faster together) and a necessity (your competitors are already doing this). End with one specific way I can help them leverage this speed advantage. Keep the tone consultative, not salesy.
Post-Transaction Touchpoint Calendar
Create a 12-month post-closing engagement calendar for my past clients that goes beyond the typical 'checking in' emails. Include 8-10 specific touchpoints that provide genuine value (market updates, home maintenance reminders, local resource recommendations) and note where AI tools could help me automate or personalize each one. Focus on building long-term relationships that lead to referrals and repeat business, not just staying top-of-mind.
WATCH THIS WEEK
Inman
Ryan Serhant shares how he's integrating AI into his brokerage's operations and his vision for the future of real estate, offering insights from a top industry leader actually implementing these technologies.
Jason Pantana
Jason Pantana demonstrates a cutting-edge AI strategy that turns YouTube videos into embedded answer blogs, helping agents capture more organic search traffic and generate leads on autopilot.
Mike Sherrard
Mike Sherrard provides a step-by-step tutorial on using Claude's Cowork feature to automate virtual assistant tasks for free, showing agents how to leverage AI to save thousands in operational costs.
