Saw this on LinkedIn, and though it will change, it's important to note. Sticking to one model is like trying to build a house with only a hammer. Once you treat them as specialized team members, your quality jumps overnight.

I was watching Kieran Flanagan talk about what's actually working at HubSpot right now. They're using AI to automatically follow up with people who show buying intent. And it's booking 5-6 times more meetings than it used to. Someone comes to HubSpot's site. They download something, or they hit a certain page, or they do something that signals "I might be interested." AI kicks in and sends them a personalized email to book time with a rep. Not a generic "hey thanks for downloading" email. A real email that references what they actually care about based on their behavior. Kieran has this rule: if you can't prove value in six weeks, move on. But this took five months. And he said if they'd stuck to that rule, they never would've figured it out. AI that was the problem. It was: - Getting the right data - Writing better prompts (they rewrote them like 50 times) - Breaking the email into pieces (subject line gets its own prompt, opener gets its own prompt, etc.) - Finding data that was actually unique to them That last part matters. If you're using the same data everyone else has access to, your AI emails sound like everyone else's AI emails. You need something unique. Something only you know about the person. I think a lot of us are trying to get AI prospecting to work and it's... not working yet. And it's easy to think "maybe I'm doing it wrong" or "maybe this doesn't work for my business." But even HubSpot, with all their resources and smart people, took five months of grinding to make this work. So maybe the answer isn't "this doesn't work." Maybe it's "this takes longer than we think." Anyway here's the full conversation if you want to watch: https://www.youtube.com/watch?v=D4xYxKfiDz0 There's a bunch more in there about website chat, context engineering, and how they think about experiments vs. scale.

Here's what I mean. After using it for a few months, it learns your patterns. It knows you work in mortgage. It knows you want short answers, not novels. It probably knows your company name by now and how you like your emails structured. But that's not the same thing as knowing your world. It doesn't know your biggest referral partner went silent 8 days ago. It doesn't know which relationships are warm right now versus which ones are cooling down fast. It has no idea what you promised on last week's call or who's waiting for you to follow up. It knows how you like to write. It doesn't know what's actually happening in your business. Here's why this matters. In mortgage lending especially, everything moves on relationships. Everything. The right follow-up at the right time is the difference between closing a deal and watching it walk. You can't fake timing. You can't automate your way around knowing who needs to hear from you and when. Real intelligence isn't remembering that you prefer bullet points. It's knowing what's going on in your world right now. It's surfacing the stuff that actually matters. It's telling you who needs to hear from you before the window closes. That's not memory. That's context. And context is what moves deals.

https://www.nbcmiami.com/news/local/innovation-on-6/man-uses-chatgpt-to-sell-his-cooper-city-home-it-exceeded-our-expectations/3778919/ This is a home, possibly the biggest purchase a human makes in their entire lifetime. ...and this guy did with the help of ChatGPT. Let's not down play the risk involved and the actual success he had. Not to mention saving 3%+ (agent fees and ROI on remodel) on a 6-figure deal, multiple offers, increased listing price. Heck it probably gave more valuable information than 50% of real estate agents could. Now think about this. He used a lawyer. It's important to note, he didn't want AI interpreting the law incorrectly. It's also the only fee he paid another human (besides maybe remodel work). My point is, it's easy. So easy this individual, who does not work in AI, did it. Real Estate Agents are going to have to get creative. That 3% commission won't come from just facilitating a deal, it will come from the convenience they provide. They'll need expert level knowledge, just like the lawyer, so they don't get passed up. I'd like members to share creative approaches that shows their worth to their clients. What would you do for the listing presentation, what can you bring to the table so you're not second to an AI chat?