The Multifamily Real Estate Experiment Podcast

MFREE 107 Trailer # 5 with Ashley Garner: Are You Letting AI take over... or Are You Still in Charge?

Shelon Hutchinson Season 3 Episode 107

Aloha, It’s Shelon "Hutch" Hutchinson here! If you’re enjoying 'The Multifamily Real Estate Experiment' podcast, please like, comment, and share our episodes to help us reach and inspire more people. Thank you for your support!

In this episode, Ashley Garner takes the mic and drops some honest insights about where tech meets leadership.

Yes, AI can pull data from documents, save time, and even make you look smarter in a spreadsheet. But Ashley says it straight: if you’re not inspecting what you expect, you're setting yourself up for sloppy results.

From verifying financials to reviewing outputs—tools don’t replace thinking. They just help if you know what you're doing. Otherwise, you're the guy reading “Insert Name Here” off a speech script.

This one's about using AI as a tool, not a crutch. You still need experience, judgment, and a solid process to get real results.

🎯 Tech is the assist, not the answer

🎯 Trust comes from verification

🎯 Know the outcome before you ask for help

#InspectWhatYouExpect #LeadershipWithTech #ThinkFirst

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Email me at:
hutch@hsquaredcapital.com

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One thing that I'm enjoying now is, there's some AI assisted tools that help with the calculation. You know, like you can drag the operating memorandum into the thing and it will, it will pull out. The pertinent information for you, right. And populate the fields. That's been pretty cool. But what I've noticed is it still requires us to understand the process. Yes. And go in and verify each line item and make sure that it's correct and it makes sense and that we didn't miss anything. Um, so it's a time saver, but you still have to use your brain and your experience to analyze. 100%. I call it inspect what you expect. There you go. So whether it's people performance or AI's performance, right. So, you know. Yeah. Um, a lot of folks, you know, dump a lot of things in the chat, GPT, and then you hear somebody give a speech that says, insert people name here. And they actually actually read that out. Like, come on man. Right. Can you proofread that thing? You know? So yeah, it's really important. So you have to have, um, basic or advanced knowledge of the expectation of what you want the model to produce, um, to you. And then a lot of times it requires a lot of training of the model to really understand what is the outcome, um, you want to, you want to achieve.