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

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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Episode Transcript

video1952013587 (00:00):
One thing that I'm enjoying now is, there's

(00:03):
some AI assisted tools that helpwith the calculation.
You know, like you can drag theoperating memorandum into the
thing and it will, it will pullout.
The pertinent information foryou, right.
And populate the fields.
That's been pretty cool.
But what I've noticed is itstill requires us to understand

(00:24):
the process.
Yes.
And go in and verify each lineitem and make sure that it's
correct and it makes sense andthat we didn't miss anything.
Um, so it's a time saver, butyou still have to use your brain
and your experience to analyze.
100%.
I call it inspect what youexpect.
There you go.
So whether it's peopleperformance or AI's performance,

(00:46):
right.
So, you know.
Yeah.
Um, a lot of folks, you know,dump a lot of things in the
chat, GPT, and then you hearsomebody give a speech that
says, insert people name here.
And they actually actually readthat 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, basicor advanced knowledge of the
expectation of what you want themodel to produce, um, to you.

(01:10):
And then a lot of times itrequires a lot of training of
the model to really understandwhat is the outcome, um, you
want to, you want to achieve.