July 1, 2025 • 56 mins
What if you could scale your real estate business using AI — without writing a single line of code?
This week, we sit down with John “Big Money” Maxi, a full-time data scientist managing 21 rental doors, who’s using custom GPTs and AI tools to streamline his real estate systems, boost decision-making, and replace the need for a team.
From building a virtual board of advisors powered by legends like Kiyosaki and Cardone, to creating AI assistants that hold him accountable, John shares exactly how he’s using modern tools to automate his investing workflow — and how you can too.
In this episode, you’ll learn:
- How AI removes emotion from investing decisions
- Simple tools like DealCheck and Rehab Estimator Pro
- Creating your own GPTs with zero programming skills
- Using AI to analyze calls, track KPIs, and even post for you on social media
- Why quality data is your most powerful asset in 2024
Whether you're tech-savvy or just getting started, this episode will change how you think about leverage, systems, and scale.
🎯 Bonus: Catch John live at our AI Panel Discussion at the REI Success Club — July 23 at The Woods Golf Course in Green Bay. Doors at 6PM, panel at 6:30.
📲 Want to connect with John? Find him on Facebook: @johnmaxi
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Hey everybody, we are back with another episode of
the Wisconsin Investor Podcastand today, guys, we are going to
be bringing some fire.
My guest and I just spent about15 minutes going through a lot
of really good nuggets and Irealized we should probably hit
record at some point andactually start the conversation.
I'm going to introduce him herein a second and, before I do
like on all the episodes, I'mgoing to bring you our sponsor,
(00:21):
Wisconsin Discount Properties,who sponsors all these episodes.
Today, guys, I'm going to bringyou our sponsor, Wisconsin
Discount Properties, whosponsors all these episodes.
Today, guys, I'm going to talkabout a deal that I just got
word from one of our buyers whopurchased a deal in Krivitz from
us and he closed on it maybetwo weeks ago I think he's
already done with pretty muchmost of the rehab and we were
asking him today hey, how do youthink you're going to do on
(00:42):
this?
What are the numbers shakingout to be?
He is estimating after he sellsit, if he gets what he thinks
he can get for it, he's going tonet $70,000 to $80,000,.
Guys, and that was a deal.
That was if you're on ourbuyer's list, that was in your
inbox, so if you didn't buy it.
That's the FOM, the buyer'slist, because these are the
(01:03):
kinds of deals we're putting outevery single week.
In your inbox, 6 am, they hitit.
To get on the buyer's list,just go to
wisconsindiscountpropertiescom,plug your information in and
you'll get automatically addedto the buyer's list where you
can start seeing the deals everysingle week.
With that, let me bring in ourguest today.
I'm honored to have Mr John BigMoney Maxi on the call.
What's up, John?
Speaker 2 (01:24):
Hey Corey, Thanks for having me.
Speaker 1 (01:25):
Very excited.
Well, I'm excited to have you on, man.
We're going to be talking todaysome tech, some AI, how to
utilize that in your REIbusiness.
If you're listening to this andyou're like old school and you
don't want to hear about that, Iwould encourage you just to
hang on, because maybe it's notsomething you want to
incorporate some of these thingsbut maybe if you could find
somebody who you could bringonto your team or maybe bring a
(01:47):
third party on that can helpimplement some of these things,
I think it could really help youaccelerate your own business or
whatever you're trying toaccomplish, and not maybe even
just business, but any area ofyour life.
So, John, with that, why don'twe start out?
Tell everybody just a littlebit about your educational
background and your W2background first, before we get
into the real estate stuff.
Speaker 2 (02:06):
Yeah, so I uh not native to Wisconsin, so I
actually grew up in Ohio, Ohiostate graduate.
Speaker 1 (02:14):
Um, yeah no, right.
Speaker 2 (02:15):
Uh, it was a good year for us, though.
Um, so I got my my degree inpsychology there, and then, um,
I moved down South for a while,down to New Orleans, went to um
LSU down there.
I went to I'm a huge nerd, so Iwent to school until there's no
more school.
Um, so actually I have my PhDin human physiology.
(02:39):
Um and so, yeah, so, like I said, I'm a professional nerd, with
a piece of paper to prove it.
And when I was there, basically,you know, started teaching
myself how to write computercode and then transition from
the academia route into being adata scientist.
(03:00):
So, like, right after I got outof my graduate program, I I
joined a startup and we werebuilding um, a headset.
That was actually like, um,we're trying to take your brain
waves and read them andunderstand them, to like measure
your level of engagement.
So you could imagine, um, youknow I'm not working there, so
(03:25):
it didn't take off, but the ideawas right like, what content
are you most engaged with?
What piece of music are youmost engaged with?
So if you have this, you're inthe sensor you can kind of get
that feedback into like, oh,like.
That was my favorite part ofthat song, because we parsed the
brainwaves to understand whenyou were like, really into it
and then you could queue up moresongs that had that kind of
(03:45):
snippet in it or oh my goodness,work or that kind of you know
tv show or you can imagineemployers.
Speaker 1 (03:51):
You know putting this thing that's what I was
thinking, dude like you know,were you engaged on that sales
call, right?
Speaker 2 (03:57):
were you spacing out?
You know when were you reallypaying attention?
And so it's supposed to be kindof like a biofeedback device.
And then I've kind of, fromthere, kept going into the data
science and machine learningworld at some other places and
other companies since then.
Speaker 1 (04:15):
Dude, that's awesome.
I love that idea.
It's too bad that that thingfailed, because that sounds
really cool.
As an employer, I'm like dude,that'd be so awesome to have for
our team.
And I could just be like dude,you don't pay attention at all
when we're doing this.
How do we get you more data?
It would allow us to ask a lotbetter questions and provide
probably better training, betterfeedback for our team, all that
kind of stuff.
But I'm sure somebody will pickthat baby back up in a few
(04:39):
years.
I'm sure it'll be somethingrelevant.
But wow, that's fascinating,man.
So you went from psych to humanphys, to data.
That's right yeah that's crazy,and most of that data stuff is
all self-taught.
Speaker 2 (04:52):
Yeah, so I just I ran into the project I was working
on in my graduate studies.
You know I remember working inExcel and just being like this.
The way I'm doing this justseems really inefficient.
Like this, can not you know,cause I'm working with small
data sets and I'm like there'sprofessionals out here who are
doing this with much morecomplicated data sets than I am.
(05:14):
And they're not doing it likethis and I was like what?
Speaker 1 (05:16):
do they?
Speaker 2 (05:17):
do and and so yeah, then I.
Then I taught myself.
I was like, oh they, they usePython for this, they use
computer programming languagesto do this stuff, so I'll just
I'll do that too, um, and thenuh yeah.
So just took a bunch of onlinecourses, all self-taught, and
then just kind of kept, you know, basically trying to get better
(05:37):
and better and read more andlearn more and just keep
perfecting the craft.
Um, wow, and then yeah, I lovethat parlayed that into, uh, a
career that I've been very happywith.
Speaker 1 (05:50):
That's amazing.
Now, not only that, but Ididn't hear anything, john,
where, when you went to school,you also graduated with a real
estate degree or anything, butnow you also own 21 doors,
correct?
That's right?
That's right.
So self-taught there as well,it sounds like self.
Speaker 2 (06:06):
I mean you could say self-taught, but a lot of it has
been just the awesome community.
Um, I think so I didn't ownanything.
It's on mood, wisconsin, okay,and um, you know, when I came
here, I started showing up tothe Riaz and talking to people
and I knew I wanted to buy Um,and I got.
(06:27):
I got a lot of help and supportand encouragement from all the
investors around here.
They're like, yeah, welcome,yeah, come on, go buy stuff,
let's do it.
Um, I actually tell people thatyou know, you were one of the
first people I talked to when Imoved here.
Okay, cause I was trying to fitin.
You know, this is 2020,somebody was five years ago and
(06:47):
I called you out of the blue andthey're like well, talk to
Corey, you know he's, he's doingsome good stuff.
And um, it's like, yeah, youknow I want to.
I told you I want to startwholesaling.
You're like, well, why do youwant to do that?
Speaker 1 (06:58):
It's hard.
Speaker 2 (06:59):
I was like, yeah, well, I want to buy some rentals
.
And you're like, well, whydon't you just buy rentals?
And then I was like, I lookedaround, you know, and I'm like
for the first time in my life,like my wife and I both had jobs
, I was like, oh yeah, we couldjust buy rentals, because I've
(07:19):
been always planning on doing it, but we've been students for so
long.
Sure.
Speaker 1 (07:32):
I thought of actually buying something was kind of
like you know, and then uh, yeah, then you're like, well, just
buy him.
Speaker 2 (07:34):
Then sounds like I had some really profound advice
at the time.
Yeah, exactly, I was like thatis a lot easier than doing all
this marketing.
I will just buy some, let's dothat um, yeah so yeah, a lot of
support, do you think?
Speaker 1 (07:44):
that's a good move, john, for people, cause my
advice maybe isn't alwayscorrect, right?
So I mean, now that you've hadsome years to reflect back on it
, do you think that was theright decision at the time?
Speaker 2 (07:55):
I think it was for me .
Speaker 1 (07:56):
Okay.
Speaker 2 (07:57):
A hundred percent.
I've.
I've always wanted to do.
I, you know I'm.
I don't say wholesaling anymore, I say I've always wanted to do
.
I don't say wholesaling anymore, I say I've always wanted to do
direct-to-seller?
Marketing, because you're atthe bottom, You're at the
foundation of everything, right?
So I've always thought of it asa pyramid.
You got the direct-to-sellerstuff and you got the flippers
(08:18):
and you got the landlords, andthen you've got the MLS right.
And so you can buy anywhere inthat pyramid pyramid and you can
sell anywhere in that pyramid.
You want to buy at the bottomand sell it towards the top, and
so I've always wanted to bedown there.
Um but you know, with with ourworking situation, that it was
(08:40):
what it was I.
I learned a lot by just buyingand just setting up um.
My system, in a nutshell, hasalways been defined good
property managers.
Um, because I've all well, lastyear I didn't, but mostly I've
always been working full time.
Speaker 1 (08:58):
Okay.
Speaker 2 (08:58):
And so you know my job has always been underwrite.
Make sure it fits make sure Igot the right financing lined up
and then manage the propertymanager.
Speaker 1 (09:09):
Yes, yeah, you, you are a good student, john.
I'm sure that's probablyexactly what I told you back in
2020.
I don't remember exactly theconversation, but that's about
what I tell everybody.
You know, one of the thingsthat happens a lot of times is I
get calls from people likeyourself, john, you know,
frequently and they want to knowwhat to do and all this stuff.
And a lot of people lovewholesale, like and I'm not
knocking and I'm obviouslythat's my business and I don't
(09:30):
tell people not to wholesalebecause I'm afraid they're going
to be competition or somethinglike that.
Like it's really just genuineadvice, like for people and it
depends on the goal right yourgoal and hold wealth.
And your roadblock was timeright, like, how do I build the
time?
And now you're doing some ofyour own direct to stellar
marketing and things like that.
Obviously, you know now thetime commitment to that can be
(09:51):
pretty extensive just to get onedeal.
But you're getting it at theprice where, for people who are
busy, they've got good W-2s,they just want long-term wealth.
A lot of times, yeah, you'regoing to pay more for that
property.
You're going to pay more forthat property.
You're going to pay thatwholesaler or whoever you're
sourcing that deal their fee.
But you don't have to be likeif time is money, you don't have
to give up all that time andenergy and effort to go source
(10:11):
that deal.
You can just be doing exactlywhat you did, like let's just
start building the portfolio.
Speaker 2 (10:30):
no-transcript seller stuff so I basically took last
last year I had kind of done iton and off with, like some
mailers here and there um, lastlast year I basically took a
call it a sabbatical um from mywork to get into it, um, and
(10:51):
start actually kind of trying tobuild out, build out the
systems and make it consistentand um, and so that was last
year and then a little bit intobeing in this year and then I
went back um, back to my, myfull-time job, okay, um, and
changing some strategies alongwith that.
But it was kind of like let'stake this year and get the
(11:12):
experience and see what thatlooks like, what I'm good at
there, what I'm not good atthere, uh, you know where I need
to bring in help and what I cando on my own.
Speaker 1 (11:25):
That's awesome man, and that's.
I think that's really a goodlesson for a lot of people too.
When we started in thisbusiness, we did a bunch of
different exit strategies.
We did a bunch of differentthings, we tried a bunch of
different things.
And then we figured out, hey,we're really good at these few
things, we're not good at thesethings.
And then we can go out and oneof my favorite books we're
reading it now in our our, nowin our business that I've
referenced in the last coupleepisodes, I think, but it's who,
not how, by Dr Benjamin Hardy,and it's such a simple concept.
(11:47):
But as I listen to it, it'slike I'm re-listening to it.
I'm just like this duh, some ofthese roadblocks that are
keeping us from growing, it'sjust a who problem, right, it's
not a how problem, it's justlike.
So I'm getting in right now inour business, back into certain
things in the sales side ofthings, and I'm going back
through and I'm kind of doingthe do to figure out what are
the things I want to keep andwhat are the things I don't want
(12:07):
to do.
And then I'm going to, I'mgoing to find somebody or
potentially a tool that maybe wecould talk about to replace
that and have that do the workfor me, so that I don't have to
be the who doing the how right,I can have a different who or a
technology or some kind ofsystem to replace me in in that
how.
(12:27):
Yeah, it's a really good book.
It's a great book.
It's one of my favorites, so alot of his stuff is great.
Anything I read from Hardy isis is really good.
So talk a little bit about someof the, some of the stuff that
you're doing.
So, as the data, as the datascientist guy in you, what are
some of the, some of the waysyou're using data or technology
in your real estate businesstoday and in this current
environment we're in?
Speaker 2 (12:56):
Yeah, I mean, for me it's always the simple things
that I've always done.
Um is, I guess, be veryrepetitive and um, purposeful,
and tool and tools that aren'tnecessarily ai, but just like
running numbers on things.
So okay, and and actually I'lltie this into who, not how,
right.
So when I was early on, I waslike you know what I'm, so I'm
so good with an excel I'm waybetter than excel than all these
(13:16):
other people like I can buildmy own excel spreadsheet, um.
And then I was like you know,I'm spending more time building
this excel sheet than I amanalyzing anything.
Um, and so I moved away fromthat.
I was like you know what?
There's a bunch of really goodtools out there.
Let's just use those and beevery time.
Here's, here's how I run mynumbers.
(13:38):
I run it through the samesystem every time.
You know if I get my greencheck marks, we're all good, I
don't we're not all good, yeahand so like.
For me that looks like prettysimple stuff, like just using
deal check um rehab estimatorpro, just to make sure that I'm
going through the process andchecking the buttons, and that's
kind of like phase one really.
(14:00):
As far as yeah, as I am.
As far as data, Is deal?
Speaker 1 (14:04):
check a?
Uh.
Is that a tool?
Is that, or is that just what?
Uh, something you call yourspreadsheet?
Speaker 2 (14:10):
No, it's a, yeah, it's a tool.
Uh, it's a software system thatyou can get.
Um, I think they have freeaccess.
They also have paid um, a paidversion as well.
But basically, you know youcan't do literally everything
that you would want, like you'renot going to do sub twos and
like creative stuff in therenecessarily.
But, um, okay, they havetemplates set up that you can do
(14:31):
some customizing for that are.
You know, this is a rentalproperty, this is a flip, this
is a burr, this is a wholesaledeal, okay, um, and you
basically go in and set up well,you know, I got to have such
and such LTV, so I know I canget a loan, or I got to be at
such and such cash flow per door, or I want to have this IRR, or
(14:53):
you know, whatever yourcriteria are, you set that in
there.
And then when you go to any ofthese properties, you type an
address, it pulls the publicdata and you just like fill out
like oh's my, if I'm getting mybank that does a 30 year
mortgage, here's that template.
If I'm looking at my bank witha 20 year AM, here's that
template.
If I'm hard money, here's thattemplate.
(15:13):
And you kind of just make sureyour taxes and insurance and
everything are good to go, andthen you look for your green
check marks.
Speaker 1 (15:20):
That's awesome.
Like I need to get that to it.
We have spreadsheets, too.
Like same thing.
Like we have our spreadsheetsthat we run and that's how we
decide what we're going to lockup.
But I think that's a great toolbecause you have the different
templates in there.
You just set it up once, you dothe work once and then boom.
What I love about that, john, Ithink this is a good nugget for
anybody out there listening.
Uh, so when we put a deal out,as you know, we send you a
(15:42):
picture in an email.
You click on the picture.
It brings you up by a resourcefolder.
We call it in there.
We've got an inspection report,we've got a video, we've got
all this sort of stuff right.
Sometimes, some people that area little bit more traditional
and old school and I'm notsaying this is wrong or right,
you know this is just the waysome people prefer to do it.
They do not like our systembecause they need to walk
through the property right.
They have to physically bethere to get the emotional feel
(16:06):
of the property.
What I love about what you'redoing is you're taking out all
emotion and you're making itstrictly about your buy box and
what the data says If it checksall the greens, we buy, if it
doesn't check the greens, wedon't buy.
It's not.
Ooh, I really like how this onefeels when I walk in, or I
really like that it's just dataand that makes it.
I think, for anybody looking togrow and scale at a faster pace
(16:29):
, it's going to make your lifeso much easier to do it that way
, versus having to go walkthrough it and just get the feel
of it.
A lot of times we can talkourselves out of deals, real
easy, right.
We can find a lot of reasonsnot to buy a deal.
That's scary, it's risky.
These are big numbers we'retalking about, right?
Speaker 2 (16:51):
But what you've built is a system here to take out
all of that emotion it soundslike, and just make it about the
numbers as much as possible.
Definitely, I mean, and I guessthe thing that I would tie back
into as we jump into like morecomplicated AI pieces, is that
all of those things are built ondata.
So anything that is wrong withhow you don't like the AI, what
it's doing, it's because of thedata that created it.
(17:15):
And so the foundation of all ofthis stuff is is the data.
So, whether that means you havean AI tool or you have a
spreadsheet, or you have youknow deal, check if you put the
wrong data into it you're goingto get the bad results.
Speaker 1 (17:29):
I can make a spreadsheet.
Speaker 2 (17:30):
Yeah, I can make a spreadsheet and I can make every
deal, check off all the stars.
But if I just made up the data,if I didn't look up the
property taxes, if I didn'tconfirm like what have I been
paying in insurance Right, andput the right insurance amount
in there.
You can get green checks, butit doesn't mean it's going to
work out.
Speaker 1 (17:48):
Yeah for sure.
I see that too on the flip side, john, when you mentioned Rehab
Estimator Pro.
So those of you guys that don'tknow, this is a tool that you
can use.
So if you're not familiar withrehab costs, for example, it's a
great tool to kind of startgetting familiar with rehab
costs.
Example, it's a great tool tokind of start getting familiar
with rehab costs.
You can, you know, look at thevideos or inspection reports, or
if you're walking through someproperties you know and and
(18:09):
going that route, you can startplugging some of these things in
.
But just like what you're saying, john, what I've noticed is you
have you have to maybe get withsome people who know their
numbers, because when you firsttake that thing out of the box
it's going to have a presetnational average type of a
number in there.
Right now I live in Door County,wisconsin.
I can tell you just fromexperience in the last year
(18:29):
we've started to do some moreprojects up here.
Our costs up here are literallylike double what I can get in
Green Bay and I'm an hour north.
So you've got to kind of knowyour region and what your
contractor going rate is, whatthe price is of the material
should all be roughly about thesame, but your labor costs and
all that stuff.
So if you just take it out ofthe box, like what John's saying
(18:50):
, and you think it's just goingto know exactly your costs and
your everything else, you'regoing to miss out on a lot of
deals potentially, because Ithink could be really over
inflating what the rehab costsmight actually be in your
specific area or with yourconnections over or under for
sure?
Speaker 2 (19:06):
yeah, you want to again.
You got to check the numbers,look at them.
It's really good to make sureyou get everything accounted for
, um, but it's going to bereally helpful if you also ask a
friend or shop on home depot todouble check yeah, and just get
I think that's a great piece ofadvice just get it when you're
first starting out using thesetools.
Speaker 1 (19:25):
Just get a couple of different eyes on it and get a
couple of different people'sopinions on it Contractors, when
we use it.
We used to use it years ago andwe would have our contractor go
, we would get their quote andthen we would compare it to this
and we just kind of keep doingthat for a little bit until we
could tweak the numbers and getpretty dialed in on what our
contractor was going to becharging us for this stuff, and
then it was super helpful.
Then it made it really easy,especially as we were training
(19:47):
people.
The who's how to coming up withrehab costs can be one of the
biggest factors when they'relocking a deal up, for you Might
not know all the stuff.
So having that tool for themwhen they started out with our
actual costs was important.
But you got to keep updating ittoo.
Prices change Yep, right, got tokeep updating it too.
(20:12):
Prices change, yep, right.
We've definitely seen that overthe last few years, right?
Uh, yeah, yeah, yeah, yeah.
Well, those are two greatnuggets.
So deal check and rehabestimator pro.
I think we actually have adiscount link for rehab
estimator pro which I can put inthe show notes.
Uh, if I still have it, I'llcheck on that, but if anybody
wants to do use that tool, we'llthrow a little link in the show
notes for you guys with thediscount code on that.
John, what are some otherthings you're using on the data
tech, ai side of things?
Speaker 2 (20:33):
Yeah, so I mean I think I mentioned earlier so I
do have a CRM.
Since I'm doingdirect-to-seller marketing, I've
been using Resimply and theyhave they've released a number
of of tools now into that, thatkind of help, a lot of different
functions.
So they have like an AI texturebuilt in so you can actually
(20:59):
have the AI you know, textingand responding to your leads,
and I'm I would say I'm stillearly phase of testing that, but
it's supposed to take in theother communication and notes
that you've, you know, left onthe person.
So it's all out of the contextbuilt in of who is it actually
(21:20):
talking to, as opposed to, youknow, a preset drip campaign
template.
Yeah, and then the other thingthat I've been liking and that
that you know you can they haveit built in but you can do it on
your own too is feedbackcoaching on sales calls or lead
(21:40):
management calls.
They have it built into the CRM, yep, so whenever I get on a
call, it's calls are recorded,like all my phone numbers that
route through there, like I getthose, those recordings, and so
they're just a button.
Now you can put hit, get leadmanager score, get acquisition
manager score, and it gives youa whole summary of like a lot of
(22:03):
it's broken down into, you know, timeline, price motivation,
sure Things of like, well, youtalked about this and that was
good, but you didn't go too deepinto you know how long it's
been vacant, like they mentioned.
It's been vacant for a longtime, you acknowledge, but you
didn't like, oh well, is itgoing to be vacant another six
months, type of thing, or uh,it's so good.
(22:24):
It gives you a score on there,and so those summaries are are
helpful.
Speaker 1 (22:29):
Yeah, Um can you train it to pick up on other
things you wanted to listen for,or is it not really
customizable as far as the uhthe tool?
Speaker 2 (22:39):
Right.
So that's their tool, so it'snot customizable for me to do.
That's where I've now movedkind of into another area where
I've now been spending probablymore time than I should, just
because I like it as a funactivity and as a professional
(23:01):
nerd I just have a lot of fundoing it is making
customizations within chat, gpt,so, um, so in there now I I've,
I now can do things.
You know, obviously I'm notretraining the model from
scratch, but I can give it allthe appropriate context I want
(23:23):
for what I want it to do.
So I've made my own salesmanager, gpt, where I've taken a
lot of research into like whatare the best lead qualification
frameworks?
What is the best?
way to ask questions, what, andbasically put together these
extensive research docs whichyou can use AI to help you build
(23:45):
Right, right, and then feedthat back into my custom tool.
So then I can now role playwith it and say like hey, I
talked to a person and they werein this situation, like, let's
mock up that conversation.
Or like here's all the notesfor my CRM on this person.
What should I talk to him about?
To him next.
(24:06):
And it'll give me like stuffgoing into the call that I
should be bringing up.
Speaker 1 (24:12):
Yeah, we do that too and that's that's been a great
tool for us.
I think we started, started itup, around January and for me as
the trainer for our team, mybig, my big issue was trying to
sit and listen to, you know, toall of these 10 to 15 to 20 to
30 minute calls and just try tostay on top of that to give the
(24:33):
team feedback.
Well, as soon as we got thisgoing, I mean now we have it set
up to our VA, puts thetranscript into the GPT, it
spits out with whatever promptwe've set up for it to always
analyze it with.
Now it spits out the report andthen that zaps to Slack and
pings to the rep in Slack sothey get their little report on
(24:55):
that, on that call.
Every day they're gettingmultiples of these.
So and we've we trimmed it down.
We had a pretty extensive for awhile as far as all of the
feedback it was giving them andit would score each part of the
call and all this kind of stuff.
So I mean you can get it reallyrobust, but with the amount of
volume of calls they're doingand that kind of thing, it was
almost becoming like nobody wasreading it because it was too
much.
So we just now it's like giveus the two things they did
(25:18):
really well and the twoopportunities they missed for
every single call and it's kindof compressed it a little bit.
I know we're missing somethings, but I just need them to
read it on a regular basis andcheck it.
But it's really good for us.
We do training every um everymorning on certain things and so
for us now we'll just pull upsome of the, some of the GPTs
and see what the see what GPTsaid and then and then we'll
(25:40):
listen to the call togethersometimes and compare what GPT
picked up versus what the uh,what, what the score, what the
rep is thinking they said, and alot of times GPT is spot on.
Speaker 2 (25:51):
When you uh, when you do that, do you have it where
it's all based on the prompt,with the whatever version of
chat GPT you're using, or do youhave like customized versions
of chat GPT where you'veuploaded all the additional
training files and contacts anddone all that stuff?
Speaker 1 (26:10):
Yeah, we put it into the customized GPTs and then we
just have the same prompt forthat custom GPT every time, and
that to your point.
What was really cool is I hadall these training videos for
new hires and I just took anupload at all of the training
videos to that cause, you know,for the lead intake calls and
hires, and I just took anduploaded all of the training
videos to that cause, you know,for the lead intake calls and
our script.
And then you know, we've addedother resources of people who we
(26:32):
also get training from as wellwith those and uh, and that's
been really cool, you know.
And then we still have to tweakit.
We still have to tweak it alittle bit because it was still
missing a few things, but it'spretty good after you spend a
little time training it, Right?
I mean, have you had that sameexperience, John?
Speaker 2 (26:46):
Yeah, I think that was insane.
That's worth like people haveall these awesome prompts,
honestly, but you get.
I think that's where the realmagic comes, like when you're
already in that field doing itand then you upload all the
appropriate background knowledgethat you expect someone.
Instead of saying, act like asales coach, you know.
At the beginning of your promptyou're actually saying here's
(27:08):
all the things like it it knowsbefore you talk to it.
Now, here's all the things thatsales coach knows.
So now tell me how this callwent.
Speaker 1 (27:18):
Yeah, Our team has also done this.
So we all share the same GPTaccount, you know, so that we're
all using this the same, thesame, you know.
So our VA can access it and Ican access and all this stuff
and I think what they've done.
Now we have a guy that doessocial media for us and so I try
not to go on Facebook everanymore.
You know, it's like too much ofa distraction for me and it's
it's not super productive, butwe still.
(27:39):
I'm still like it's important,you gotta be out there, you got
to be on social media.
So we have a guy that posts now, but they've trained a gpt off
of all my podcasts and videosand everything else that I put
out over the years, and so now,like this is going to sound
terrible.
So if you guys are commentingwith me on social media it's not
me, but it sounds like meprobably is what?
Because they'll plug it in.
(28:00):
They'll say what would cory sayback to this person?
And it like knows me?
And it responds and so farnobody's reached out and been
like dude, that was really rude,or you should have never said
that to me.
Speaker 2 (28:09):
So it's working so far.
Speaker 1 (28:11):
It's good it's working so far, but again, it's
a who, not how thing.
Now I'm, I don't have to besitting on social media
responding to all of these youknow comments or even posting
any content, or I have a gpt nowthat can come up with the thing
, like I would say yeah, andyou're, and you didn't also have
to make a specific, you know 10page frequently asked question
(28:32):
document, or how would coryreact?
Speaker 2 (28:34):
to this or that, right?
You yes, you already had thisother content.
You had this other stuff, andnow you could repurpose that
into a new tool exactly which,which is the really cool, it's
like we're talking about oh, didyou customize this?
are you using that?
What this kind of all gets tois no, is if you know it's a new
(28:55):
way to build a computerapplication, like you wanted to
do something and you know whatyou wanted to do.
So now, instead of having to bea computer programmer to build
a whole thing and say, well,what happens in this situation
and that situation, and you knowwhere do I store this piece of
information in a database andhow does the application grab it
(29:18):
at the right time, you can justkind of like.
You can either do you know,have it do research for you on a
topic you want it to researchor you can you can
dump everything you won't thinkor know or want to talk about on
a subject into a document, putit in chat, gpt, and now it's
going to respond like the wayyou the way and, like you said,
(29:38):
there's tweaking and things thatgo.
But I mean the possibilitiesare are endless as far as what
you could get it to do.
I mean, the possibilities areare endless as far as what you
could get it to do.
If there's a problem you'restruggling with, you now have
the power to make an app tohandle it.
Speaker 1 (29:53):
Yeah, yeah, it's awesome, it's people, people
that are around my kids alwaysjoke.
They're like you and mom areobsessed with chat, gpt.
And I'm like, yeah, we are likeany any weird.
You know, kids are soinquisitive John, you have what?
Four kids, four kids, more kids, the same here.
So they, you know, we get askeda lot of questions every day.
I have no idea what the answeris, but chat usually knows.
(30:14):
So I usually plug it into chatand I can answer my kids
inquisitive questions nowwithout me having to feel like
an idiot, you know, not knowing90% of what they're asking me.
So so that's pretty, prettyphenomenal.
Can you just explain realbriefly, john, because it's
pretty simple?
But for those that are outthere listening, because this
was a big thing for me, I'm like, oh man, I'm going to have to
hire, I'm going to have to hirea who to build out my custom
(30:36):
GPTs.
And then my brother actuallywas the one that was like, dude,
no, you just go here, you clickhere and then you just start
training it and I was like what?
So can you just explain topeople real quick, like the
steps to make a custom gpt andchat?
Speaker 2 (30:49):
yeah.
So if you you know I think youhave to you need to have a chat
gpt.
Obviously you need an account.
I don't know if you need a proplan or not to make oh okay,
which like 20 bucks a month forthe, for the pro plan, um.
I mean, I held out for a longtime.
Now I'm paying for it, I'm glad.
But yeah, once you have that,you basically click your profile
(31:13):
picture.
There's like a little my GPTthing that comes down and you
get.
You know, it's like build oneand there's just a little box
there so you can.
There's a describe to build, soyou can just type like into the
box, like build me one, andtell it what you want and it
(31:35):
itself will basically puttogether what it thinks you need
to build that.
So that's kind of like theeasiest step, like lowest
barrier to entry, um way to doit.
Then there's also the another,another way where you can.
There's a tab that's been in,configure, and you can go in
there.
(31:55):
And then you same idea, likeyou give it a name, like what
you want to call, so you canfind it in your menu and
describe it and stuff, uh.
And then you got to tell itwell, what, what do you want me
to do?
So you have to giveinstructions like are, are you a
jerk?
Are you a nice person, you know?
Are you, um, you know acopywriter?
Are you a data analyst?
Are you, you know a ceo,whatever role, you know way you
(32:19):
want to talk, way you want it totalk type of thing, and the
instructions.
You know how to respond to userinputs.
That would all all go in there.
And that's the part that wetalked about tweaking stuff.
That's where that comes in.
You start testing, like I don'tlike how this talked or um,
whatever.
That's where that goes.
But then also then there thereis you know add files button,
(32:40):
and so you know, like easy, asan example, let's say you just
bought I don't know.
Let's say you bought Rich Dad,poor Dad, right, and you got the
PDF of it and you want RobertKiyosaki's advice on your next
deal.
You can drag and drop that PDFinto that chat GPT and it's
(33:02):
going to read the whole book andyou can say you are Robert
Kiyosaki, here's how you think,click bill, and then just, and
then you can start chatting withthem.
It's like, yeah, I got thisdeal, I'm analyzing it, it looks
like this or that.
And then you know I'd be like,well, that's, that's a dumb idea
.
That's a dumb idea.
I don't know.
I haven't built that one.
I don't know what he'd say, butthat's a good.
Speaker 1 (33:24):
I mean, that's kind of all that I want to kind of
build.
It sounds like fun.
He's got a lot of books too, soyou could probably just get a
bunch of the books and then it'sreally.
You're really getting all ofhis advice right, I brought to
mind too, actually.
Speaker 2 (33:34):
So I think, uh, cause I'm thinking like I don.
At one point, I think the WiscoRia, when you joined, they gave
you a PDF of several books, Ithink that might have been one
of them.
So it was 10X on there, so youcould drag and drop a couple
books from those and get ahybrid.
(33:55):
Grant Cardone, Robert Kiyosakisales or investment advisor.
Speaker 1 (34:02):
You just reminded me, john.
You and I, I think, are prettysimilar age.
Did you ever watch ShortCircuit growing up?
I don't think.
I don't know that one oh dude,classic 80s movie.
You got to go check it out ifyou haven't watched it.
But anyway, it's this robot andhe like, becomes like a person
and anyway he's at this chick'shouse and he's just reading
through all these books and he'sjust throwing it.
(34:22):
That's what I'm thinking of.
This you're talking about chat,gbt.
It's like short circuit.
Proactor had a premonition backin the 80s that this was going
to be happening at some point.
Talk about, though, you and I,before we hit record, something
else that I had never thought of, and I love this idea.
You were talking about sort ofbuilding your own board of
advisors within chat.
Speaker 2 (34:49):
Talk a little bit about that and some of the ideas
or thoughts you had around thatbecause I think this is pretty
cool for anybody out therelistening in any stage of their
investing journey or any otherthing they're trying to build.
Yeah, so the idea is that mostbig time companies, even small
companies, could benefit from aboard of advisors that have been
through it before and they'renot running the business, but
they can tell you what you needto do, things to think about and
when, and so one of the thingsthat you can do is apply that to
(35:12):
to chat gpt, in kind of thesame way, where, instead of
building that knowledge base foryour custom gpt of here's
knowledge on you know how to bea facebook marketer and here's
knowledge on how to be aFacebook marketer and here's the
way people write on Facebook,etc.
Etc.
You can feed it like here's allthe information I have on Grant
(35:33):
Cardone, because we're talkingabout it.
Here's all the information Ihave on Robert Kiyosaki.
Here's all the information Ihave on Ken McElroy Whoever.
Actually, I did a webinar onthis recently.
It's like you can do fictionalpeople Like do you want captain
Kirk on your board?
Do you want Yoda on your board?
Oh, that's cool, and and sowhat you do then is and again,
(35:56):
you can use chat GPT to help youdo this is you create these
extensive dossiers on thesepeople that you then upload into
chat GPT and say like, okay,you are, you're not one person,
you are all of these peopletogether or separately within
this one conversation.
And so that's amazing.
(36:19):
So I was playing around withthat the other day and, you know
, basically built it, got thepeople in there, and so I want
to rebuild my wholesalingcompany from the ground up.
Like, where am I going to start?
What do I need to go with?
(36:40):
And so it just spits out eachof the nine people on the board
has their own viewpoint.
Some of them were marketingexperts, some of them were deal
structuring experts, some ofthem were negotiation experts,
and they all bring their ownflavor.
And then you can start saying,alright, well, so those are all
(37:00):
the things I want to consider.
Well then, what would the actualblueprint be?
And they'd be like well, phaseone, weeks one through three.
You got to build out thesethings.
And it's like you know yourmission statement and who are
you marketing to, and like allthat stuff.
And so it's like okay, well,these two board members, you
guys, were the ones that werereally focused on the mission
(37:20):
statement, like help me craftthat.
Like here's kind of what I'mthinking, like what am I missing
?
How would you reward that totarget those people, or you know
?
And so then you can just kindof go deeper and pull in the
board members right, that hadthat viewpoint and then you can
jump back out.
It was just a test of like,could I set up this board and
(37:47):
would they give me eventuallyactionable steps, very discreet
things to do on a timeline oflike all right, here you go.
Here's your own 90-daywholesale company, that's
amazing and they know your arearight.
Speaker 1 (38:01):
Because if you build your own GPT or just your own
premium uh, chat, you can put inlike I'm john, I live in this
town, I'm this old, I have kids,this is what I do for a living,
this is what I want to do for abusiness like you can build all
that in and tell chat that soit knows you right.
So then your board of advisorsthen would hypothetically know
that as well.
When they're giving you this,they could potentially provide
(38:23):
you more regional type of advicebased on what you're trying to
do as well.
Speaker 2 (38:27):
And the other thing that gets to that point actually
is one of the things that Istarted doing a couple months
ago now is like one of my chatsis like a personal assistant
chat, and the way I use that isevery, every morning I have like
(38:48):
three reflection questions thatI answer into chat, gpt, and
then I go well, here's likethings that are scheduled Like
these are just like on the dayfor this period of time, and
then I go here's my threepriorities, like build my daily
schedule, and on top of that Ido the um uh traction book.
Speaker 1 (39:09):
It's like I've gone through the whole vto organizer
and it's like I've done that.
Speaker 2 (39:14):
It knows like I rocks and my 10-year target and all
this stuff, and so I've builtthis personal assistant around,
like this is what I'm trying toaccomplish business-wise.
I also have these like familylife goals and so like now,
here's what today looks like.
Build my schedule and you knowwhat my kpis are and like what
(39:36):
my like bigger longer term goalis.
Keep me on track.
And then the end of the dayhere's my end of the day
reflection pump update.
My KPIs give me new reflectionsfor tomorrow based on what I
said went well or didn't go welltoday, and so the next morning
there's my new reflectionprompts to start the day and get
everything planned.
Oh my gosh.
Speaker 1 (39:57):
So now, it's all cycled.
Speaker 2 (39:59):
So now when I go to do these other things, it just
has all that memory so it doesmonths of me doing business on a
day-to-day basis.
So like it's like I didn't haveto tell it who I was anymore.
It's just like I'm building awholesale company.
It's like, well, you're Maxihomebuyers and like you know,
just like knows all the stuff.
Speaker 1 (40:15):
Yeah, that's so cool, dude.
I'm getting so many great ideasfrom this.
So, audience, if you'relistening to this and you are,
if you're like tuning out, ifyou would need one of those
headsets John talked aboutearlier and make sure you're
tuned in you are missing out onsome really good stuff here.
This is incredible, dude.
I'm just thinking about that.
We had consultants come in inOctober.
You know we're paying themthousands and thousands of
(40:37):
dollars to sit with us and gothrough all this stuff.
Why would we not just plug thatin to a GPT and just have it
keep us on track every day?
And then we have our team put ascorecard together every day of
how they did on the day, whattheir hots are, what do they
need to focus on the next day orwhat do they think it is?
They can have their own, basedon their own personal goals for
the year with us or the goalsthat we set for them.
(40:57):
Oh my gosh, dude.
Speaker 2 (40:59):
There's, it's so much .
Speaker 1 (41:01):
It's really it's.
Speaker 2 (41:02):
I mean, what time I don't know.
I forget what time it is orwhat time we have to get, but,
um, there's so many ways you cango with it.
And then the thing that has mereally jazzed up now, um, like
I'm looking to start.
I don't know where I'm going tofind the time to do this, but
what I really want to do is youknow, there's now this new layer
(41:25):
of I don't know what to call it.
I don't want to get tootechnical, but basically, when
two computer programs talktogether, it's like the
application layer, right?
They like there's a API thatthey communicate through with
what it's called.
There's a new one instead ofAPI MCP, which stands for model
context protocol, and so thisexists so that your chat bot can
(41:48):
now interface with programsthrough this model context
protocol.
So, instead of it, it's likeright now, right, so I use
Trello, like my GPT can likeoutput a list of things that I
can copy paste, and it justcreates a bunch of Trello cards.
(42:09):
Okay, With the mama contextprotocol, it would just be able
to talk to Trello directly.
Speaker 1 (42:18):
So then you're like eliminating yourself from having
to go in and actually put theprompt in.
It's just going to do it foryou.
Speaker 2 (42:24):
You'd be talking to chat GPT and I'd tell it like
here's my KPIs for the day, andit could MCP over to Google
sheets and actually write thoseKPIs in a Google sheet over
there.
Cause now it can talk to Googlesheets, just like it can talk to
me, and so there's there areother things you have to set up
and it gets more into the weedsas far as, like, the actual
(42:44):
programming and some things likethat.
Sure, but that's kind of wherenow I'm really excited and I
want to.
I'm planning some yeah,planning some projects around
that of like okay, now can Italk to chat gpt, but have stuff
happen elsewhere so that Idon't have to take it from there
and put it into there.
Speaker 1 (43:09):
That's so cool, dude.
There's so much, so much coolstuff happening right now as
we're, as we're living in thisamazing time and in the world.
Uh, it's pretty crazy goingfrom short circuit, you know,
being the uh being a crazy dream, to uh, we have a real life
short circuit happening rightnow and we can utilize it to
become more efficient andeffective.
And the other thing too youknow you mentioned the deal
check thing before.
I would imagine you know GPT.
(43:30):
You could build your own dealcheck right in GPT.
Right, if you didn't want touse that software, you could.
You could have it kind ofprompt you.
Here's the things what, whatare these numbers or what does
this look like, or whatever thecase is, maybe use deep research
if you had to.
Speaker 2 (43:44):
That's something I wrote down Cause I got a list of
like ones I want to trybuilding and that that's that's
on there.
I didn't prioritize it becauseI had deal check and because
math can be where it strugglesRight, like theoretically it can
do all that advanced math, butalso, like you, better be able
(44:06):
to know how to do yourself tocheck it, like if it spits out
an IRR.
I'm not sure I'm going to trustthat at face value.
Speaker 1 (44:15):
Would you use another soft like like grok or
something, to throw it into grokand see if they come up with
the same answer?
You could do that.
Are they both kind of the same?
Speaker 2 (44:23):
Me being me, like, I would throw it into a
spreadsheet, that's like I knowthe numbers line up to that that
thing, and have your, your likeknown test.
Um sure, but for other stuff,like, I have seen it work pretty
well for some other stuff, likewhen I was messing around with
the ai board of advisors, um,that I made.
You know it's like I want um.
(44:45):
You know I told how many dealsI want to do a month and like
average um thing for a deal.
And then like uh, averagerevenue per deal or profit per
deal and uh, like the grantcardone person in that like spit
back, like if you're gonna havethat revenue and it was the
right amount of revenue, if youlike put those numbers together
(45:06):
in a year, yeah then, like yougotta have x sales, like you
gotta have these many sharks onyour team, just like crushing
the phones.
You know it's like in his voiceand I was like all right.
It didn't get the math right.
It was a pretty simple mathproblem, but it it got it right
yeah that's awesome.
Speaker 1 (45:21):
I was thinking the board of advisors things too and
that's speaking of another showis I think it's called the men
who built America.
It's like Ford and JP Morgan,and you know a bunch of those
guys from back in the late 1800s, early 1900s, that were the big
Titans of industry, and youknow you could get some of that
kind of stuff in there too andhave you know Henry Ford telling
(45:41):
you what to do or somethingThat'd be pretty sweet, it'd be
awesome and that's like, yeah,you can, anything that you can
do research on and feed it theknowledge you know, like we have
.
Speaker 2 (45:51):
We have that history so you can teach it to talk and
have those viewpoints.
Speaker 1 (45:57):
Holy cow, I love this stuff, man.
Uh, john, this has been awesome.
We're going to get we're goingto get going to reps.
I know you got a real job andyou have a business that you
have to build and a lot moreGPTs to build.
So, uh, what are there anyother just quick hitter tools
that you think the audiencewould really benefit from or
that you know you you thinkwould be kind of neat to throw
(46:17):
out there?
Speaker 2 (46:19):
Oh man, I mean, if you haven't played around with
deep research in chat, gpt, playaround with that, otherwise
I'll throw out.
There's a Facebook group I'm inAI prompts for entrepreneurs.
I'll throw that out there,because if you want some
(46:39):
inspiration for what people aredoing, you can check that out.
It's a really good group.
People are dropping prettyawesome prompts in there to try
out.
And I don't use the saved postvery often on Facebook, but I do
.
When I'm going through thereI'm like, oh, this looks pretty
cool.
I would like to see how thiswould work in my business,
(47:00):
because it's like 450,000 peoplein this group, across all
industries, that are just like.
It's like 450,000 people inthis group across all industries
that are just like.
Here's what I'm using this for,like here's a prompt that I
used and, like you know, so it'sall sorts of people who are
doing all industries, all typesof sales, and they just put
their prompts in there and letpeople try out.
So that's, that's a place tocheck out.
Speaker 1 (47:20):
That's pretty, that's pretty amazing man.
I know, um, you don't mentiondeep research.
I think I talked about this onanother episode, maybe.
Maybe it was with my Kiggins.
We talked about some, uh, somedeep research stuff and some GPT
stuff, but I know I'll just toreshare it again If people
didn't hear that that that deepresearch saved me probably a
month of legwork where I waslooking to build some new
(47:41):
construction, multifamily stuff,and so I put in you know,
here's what I want my LTV to beonce everything's up and running
, here's how much cash I have,here's how much I can invest,
blah, blah, blah, blah.
Here's the areas I'm looking todo.
And I hit deep research andthen it gave me like I don't
remember if it was like five to10 questions based off that
they're like, well, what aboutthis and this and this?
And I was like, oh, these aregreat questions, you know.
(48:02):
So I'm responding back and thenit's like boom, and it goes out
and maybe 20 minutes, maybe ahalf hour later I've got
basically it telling me not todo it.
You know I was like, okay, allright, thank you, you just saved
me a month of ruminating onthis and phone calls and digging
around and trying to run themath and doing all these
different things, and you justdid all the research for me to
(48:25):
come up with some of that stuff.
Now I've seen it on the otherside.
We've used it to runcomparables in our, in our
business, and we had to do deepresearch on a four unit, for
example, and trying to figureout ARV on this thing or what
it's currently worth, and I didnot like it at all.
I was pulling cops from like2020 and I was like, yeah, we
don't want that, so I might haveto build a custom gpt just to
(48:46):
tell it how I want it to runcops, and then I'm sure it could
.
It could probably run it better.
But we were just throwing it inand saying what's the arv on
this?
Speaker 2 (48:54):
here's the data, here's the address deep research
who's the uh contact person forthe wisconsin mls?
How can we build a uh?
Speaker 1 (49:03):
yeah there we go.
I mean, that's what you need.
Speaker 2 (49:05):
The data right.
Speaker 1 (49:06):
So it's like it's only going to find what it can
find, and if you can, it'spulling yeah, it's pulling
Redfin, it's pulling Zillow andany, any historical sales data
can, but uh, it's only as goodas, like you said, the data
that's available.
Speaker 2 (49:20):
You could give it that and say here's as much as I
, you know, because you go, youknow wherever your search thing
is, whether it's MLS orotherwise, like there's only so
many parameters and sometimesyou only got so many of them.
You know, at a point in time,for the property You're like,
well, you know, let's see whatis what is what is the best, but
you got to give it the bestdata.
Speaker 1 (49:40):
Right, right, I wonder if they have an API or
what the MCC, whatever else youwere talking about we got to
find.
Find someone who, uh, a brokersomewhere that wants this?
Yeah Well, I I have.
I have a few I could probablytalk to that would want it.
So get that hooked up.
All right, john, I know you gotto get back to your, your real
life here.
This has been an amazingepisode.
(50:02):
You're also going to be on ourpanel coming up at the REI
Success Club.
So if you guys got some valueout of this and you're like,
give me more of this, I wantmore of it.
We're going to have an AI panelthe fourth Tuesday of July.
I think is when we're havingyou on, correct?
So, yes, so come on out.
It's at the Woods Golf Course.
(50:22):
We open the doors at 6 pm forsome networking.
We kick it off promptly at 6.30.
We do a little bit morenetworking after the panel.
So the panel usually goes aboutan hour.
We'll do a little networkingfor about a half hour and then
just free networking after thatfrom 8 till whenever you want to
get out of there.
But that's going to be anawesome panel.
We have you and I'm trying toremember who else we have.
(50:45):
We have a couple other peoplethat are maybe utilizing it in
their own businesses as well, umon there.
So this is going to be aprobably one of my favorite REI
successes that we've ever had,so it'd be a lot of fun.
Yeah, john, before we wrap, wealways like to ask a little fun
question here, and this isreally.
We have people outside ofWisconsinisconsin they might
want to invest in wisconsin.
Maybe they're maybe they'reohioans or lsuans like like
(51:07):
yourself here, thinking aboutcoming up to this great state
and throwing some dollars andinto some properties here.
For those that don't know whatyou know, we like to tell them a
little bit about the favoriteplaces or traditions up here for
you.
Do you have a favoritewisconsin place to visit or
tradition that you that you'veenjoyed and you have?
Speaker 2 (51:24):
the outsider perspective now I mean a blanket
statement just all of summer,right, um, but we have, we just
love lake trips in the summer.
So, as much as we can, um, we'retrying to convince our friends
from out of state, our parents,everyone to come up here, and
just as many as we can, as wecan, we're going to door county,
(51:46):
we're going to wild rose, we'regoing to I mean, there's so
many lakes within an hour, twohours of where we are and
they're all a blast.
I mean, you can do the, thecampsites, get the cabins, you
know you can do something, butyou get hotel rooms.
You can stay at the bed, right,I mean, whatever kind of flavor
experience you want, you can dosomething, but you get hotel
rooms, you can stay at the bed,right, I mean, whatever kind of
flavor experience you want, youcan have it and all of them are
(52:09):
great and everything's beautifuland it just all has the
Wisconsin vibe of like we'relike we're just here and we're
having a good time and like noone has to be I don't know
Instagram worthy.
It's like let's just enjoy thelake and that's, that's what I
love.
Speaker 1 (52:26):
I'm with you, buddy.
I we travel a lot and I always,whenever I come back to
Wisconsin especially in thesummer or the fall to the fall
is a great time to be here it'sjust like man we.
We are really lucky to live insuch a beautiful state and with
some so many lakes.
Minnesota brags about theirlakes.
Speaker 2 (52:50):
We're just that's right.
Never, never knew, I moved hereand it's just like it's, it's
the best, just you know, yeah,we would like I said we're
always trying to recruit peopleto come visit, like why don't we
come to wisconsin?
Speaker 1 (52:57):
I'm like dude, because it's fantastic yeah, and
ever everybody thinks it's cowsand pastures and that's uh,
that's a portion of the statefor sure.
You know you can get on somepretty long drives here where
all you see is fields and maybea couple of quick trips.
But you can, you know, if youlook around.
You don't have to look very far,there's plenty of water if
you're into water stuff, soabsolutely Well, next time
(53:19):
you're up in Door County, man,hit me up and we'd love to hang
out with you and the fam and and, uh, catch up a little bit more
and probably nerd out with yousome more on some tech stuff.
We have the opportunity.
And thank you, guys all forlistening.
Guys, if you got some value outof this show, please share it.
I say this every episode.
Not only does it help us growthe audience, but it's also
going to help you get the wordout about you know, into real
(53:40):
estate and you're learning thiskind of stuff and you're going
to be able to attract lenders.
You're going to be able toattract deals.
You're going to be able toattract contractors and other
people that can help youaccelerate your goals and get
you closer to the end goal foryourself.
If you are out there and youwant to just have a conversation
like John mentioned justcalling me up five years ago and
you're not ready to necessarilyget on a buyer's list yet,
(54:02):
you're not really sure whatdirection you want to go with
your career or with real estate,you know, go to Wisconsin
discount properties.
Just hit the contact us buttonand either myself, reese or
Connor from our team will reachout to you and have a
conversation and try to try toget you connected up to this
awesome community that we havehere in Wisconsin for real
estate investors, and with that,john.
Again.
Speaker 2 (54:21):
Any last words before we part here I just say, yeah,
definitely, corey's been goodresource for me and I shared
that story, so definitely don'thesitate to reach out.
Um, I'm always happy to.
I love talking to otherinvestors.
See what everyone's doing.
Um, if you have more questionsfor me, reach out john maxi on
facebook.
Pretty easy.
Um love to help however I can.
like I said, I got a lot of helpand support when I was getting
(54:43):
started in the community up here, and so I definitely want to be
be able to give that back andhelp out however I can, whether
it's, you know, bouncing numbersoff or helping with some stuff
or you know whatever.
I'm happy to help, happy tochat.
Speaker 1 (54:58):
Awesome, brother.
Well excited to see you in afew weeks.
At the time this will probablypop and we'll we'll have even
more discussion there.
So if anybody wants to comecheck out John end of July,
we'll be at the time to do ituntil the next episode.
Guys, we'll see you soon.
Hey everybody, we are back with another episode of
the Wisconsin Investor Podcastand today, guys, we are going to
be bringing some fire.
My guest and I just spent about15 minutes going through a lot
of really good nuggets and Irealized we should probably hit
record at some point andactually start the conversation.
I'm going to introduce him herein a second and, before I do
like on all the episodes, I'mgoing to bring you our sponsor,
(00:21):
Wisconsin Discount Properties,who sponsors all these episodes.
Today, guys, I'm going to bringyou our sponsor, Wisconsin
Discount Properties, whosponsors all these episodes.
Today, guys, I'm going to talkabout a deal that I just got
word from one of our buyers whopurchased a deal in Krivitz from
us and he closed on it maybetwo weeks ago I think he's
already done with pretty muchmost of the rehab and we were
asking him today hey, how do youthink you're going to do on
(00:42):
this?
What are the numbers shakingout to be?
He is estimating after he sellsit, if he gets what he thinks
he can get for it, he's going tonet $70,000 to $80,000,.
Guys, and that was a deal.
That was if you're on ourbuyer's list, that was in your
inbox, so if you didn't buy it.
That's the FOM, the buyer'slist, because these are the
(01:03):
kinds of deals we're putting outevery single week.
In your inbox, 6 am, they hitit.
To get on the buyer's list,just go to
wisconsindiscountpropertiescom,plug your information in and
you'll get automatically addedto the buyer's list where you
can start seeing the deals everysingle week.
With that, let me bring in ourguest today.
I'm honored to have Mr John BigMoney Maxi on the call.
What's up, John?
Speaker 2 (01:24):
Hey Corey, Thanks for having me.
Speaker 1 (01:25):
Very excited.
Well, I'm excited to have you on, man.
We're going to be talking todaysome tech, some AI, how to
utilize that in your REIbusiness.
If you're listening to this andyou're like old school and you
don't want to hear about that, Iwould encourage you just to
hang on, because maybe it's notsomething you want to
incorporate some of these thingsbut maybe if you could find
somebody who you could bringonto your team or maybe bring a
(01:47):
third party on that can helpimplement some of these things,
I think it could really help youaccelerate your own business or
whatever you're trying toaccomplish, and not maybe even
just business, but any area ofyour life.
So, John, with that, why don'twe start out?
Tell everybody just a littlebit about your educational
background and your W2background first, before we get
into the real estate stuff.
Speaker 2 (02:06):
Yeah, so I uh not native to Wisconsin, so I
actually grew up in Ohio, Ohiostate graduate.
Speaker 1 (02:14):
Um, yeah no, right.
Speaker 2 (02:15):
Uh, it was a good year for us, though.
Um, so I got my my degree inpsychology there, and then, um,
I moved down South for a while,down to New Orleans, went to um
LSU down there.
I went to I'm a huge nerd, so Iwent to school until there's no
more school.
Um, so actually I have my PhDin human physiology.
(02:39):
Um and so, yeah, so, like I said, I'm a professional nerd, with
a piece of paper to prove it.
And when I was there, basically,you know, started teaching
myself how to write computercode and then transition from
the academia route into being adata scientist.
(03:00):
So, like, right after I got outof my graduate program, I I
joined a startup and we werebuilding um, a headset.
That was actually like, um,we're trying to take your brain
waves and read them andunderstand them, to like measure
your level of engagement.
So you could imagine, um, youknow I'm not working there, so
(03:25):
it didn't take off, but the ideawas right like, what content
are you most engaged with?
What piece of music are youmost engaged with?
So if you have this, you're inthe sensor you can kind of get
that feedback into like, oh,like.
That was my favorite part ofthat song, because we parsed the
brainwaves to understand whenyou were like, really into it
and then you could queue up moresongs that had that kind of
(03:45):
snippet in it or oh my goodness,work or that kind of you know
tv show or you can imagineemployers.
Speaker 1 (03:51):
You know putting this thing that's what I was
thinking, dude like you know,were you engaged on that sales
call, right?
Speaker 2 (03:57):
were you spacing out?
You know when were you reallypaying attention?
And so it's supposed to be kindof like a biofeedback device.
And then I've kind of, fromthere, kept going into the data
science and machine learningworld at some other places and
other companies since then.
Speaker 1 (04:15):
Dude, that's awesome.
I love that idea.
It's too bad that that thingfailed, because that sounds
really cool.
As an employer, I'm like dude,that'd be so awesome to have for
our team.
And I could just be like dude,you don't pay attention at all
when we're doing this.
How do we get you more data?
It would allow us to ask a lotbetter questions and provide
probably better training, betterfeedback for our team, all that
kind of stuff.
But I'm sure somebody will pickthat baby back up in a few
(04:39):
years.
I'm sure it'll be somethingrelevant.
But wow, that's fascinating,man.
So you went from psych to humanphys, to data.
That's right yeah that's crazy,and most of that data stuff is
all self-taught.
Speaker 2 (04:52):
Yeah, so I just I ran into the project I was working
on in my graduate studies.
You know I remember working inExcel and just being like this.
The way I'm doing this justseems really inefficient.
Like this, can not you know,cause I'm working with small
data sets and I'm like there'sprofessionals out here who are
doing this with much morecomplicated data sets than I am.
(05:14):
And they're not doing it likethis and I was like what?
Speaker 1 (05:16):
do they?
Speaker 2 (05:17):
do and and so yeah, then I.
Then I taught myself.
I was like, oh they, they usePython for this, they use
computer programming languagesto do this stuff, so I'll just
I'll do that too, um, and thenuh yeah.
So just took a bunch of onlinecourses, all self-taught, and
then just kind of kept, you know, basically trying to get better
(05:37):
and better and read more andlearn more and just keep
perfecting the craft.
Um, wow, and then yeah, I lovethat parlayed that into, uh, a
career that I've been very happywith.
Speaker 1 (05:50):
That's amazing.
Now, not only that, but Ididn't hear anything, john,
where, when you went to school,you also graduated with a real
estate degree or anything, butnow you also own 21 doors,
correct?
That's right?
That's right.
So self-taught there as well,it sounds like self.
Speaker 2 (06:06):
I mean you could say self-taught, but a lot of it has
been just the awesome community.
Um, I think so I didn't ownanything.
It's on mood, wisconsin, okay,and um, you know, when I came
here, I started showing up tothe Riaz and talking to people
and I knew I wanted to buy Um,and I got.
(06:27):
I got a lot of help and supportand encouragement from all the
investors around here.
They're like, yeah, welcome,yeah, come on, go buy stuff,
let's do it.
Um, I actually tell people thatyou know, you were one of the
first people I talked to when Imoved here.
Okay, cause I was trying to fitin.
You know, this is 2020,somebody was five years ago and
(06:47):
I called you out of the blue andthey're like well, talk to
Corey, you know he's, he's doingsome good stuff.
And um, it's like, yeah, youknow I want to.
I told you I want to startwholesaling.
You're like, well, why do youwant to do that?
Speaker 1 (06:58):
It's hard.
Speaker 2 (06:59):
I was like, yeah, well, I want to buy some rentals
.
And you're like, well, whydon't you just buy rentals?
And then I was like, I lookedaround, you know, and I'm like
for the first time in my life,like my wife and I both had jobs
, I was like, oh yeah, we couldjust buy rentals, because I've
(07:19):
been always planning on doing it, but we've been students for so
long.
Sure.
Speaker 1 (07:32):
I thought of actually buying something was kind of
like you know, and then uh, yeah, then you're like, well, just
buy him.
Speaker 2 (07:34):
Then sounds like I had some really profound advice
at the time.
Yeah, exactly, I was like thatis a lot easier than doing all
this marketing.
I will just buy some, let's dothat um, yeah so yeah, a lot of
support, do you think?
Speaker 1 (07:44):
that's a good move, john, for people, cause my
advice maybe isn't alwayscorrect, right?
So I mean, now that you've hadsome years to reflect back on it
, do you think that was theright decision at the time?
Speaker 2 (07:55):
I think it was for me .
Speaker 1 (07:56):
Okay.
Speaker 2 (07:57):
A hundred percent.
I've.
I've always wanted to do.
I, you know I'm.
I don't say wholesaling anymore, I say I've always wanted to do
.
I don't say wholesaling anymore, I say I've always wanted to do
direct-to-seller?
Marketing, because you're atthe bottom, You're at the
foundation of everything, right?
So I've always thought of it asa pyramid.
You got the direct-to-sellerstuff and you got the flippers
(08:18):
and you got the landlords, andthen you've got the MLS right.
And so you can buy anywhere inthat pyramid pyramid and you can
sell anywhere in that pyramid.
You want to buy at the bottomand sell it towards the top, and
so I've always wanted to bedown there.
Um but you know, with with ourworking situation, that it was
(08:40):
what it was I.
I learned a lot by just buyingand just setting up um.
My system, in a nutshell, hasalways been defined good
property managers.
Um, because I've all well, lastyear I didn't, but mostly I've
always been working full time.
Speaker 1 (08:58):
Okay.
Speaker 2 (08:58):
And so you know my job has always been underwrite.
Make sure it fits make sure Igot the right financing lined up
and then manage the propertymanager.
Speaker 1 (09:09):
Yes, yeah, you, you are a good student, john.
I'm sure that's probablyexactly what I told you back in
2020.
I don't remember exactly theconversation, but that's about
what I tell everybody.
You know, one of the thingsthat happens a lot of times is I
get calls from people likeyourself, john, you know,
frequently and they want to knowwhat to do and all this stuff.
And a lot of people lovewholesale, like and I'm not
knocking and I'm obviouslythat's my business and I don't
(09:30):
tell people not to wholesalebecause I'm afraid they're going
to be competition or somethinglike that.
Like it's really just genuineadvice, like for people and it
depends on the goal right yourgoal and hold wealth.
And your roadblock was timeright, like, how do I build the
time?
And now you're doing some ofyour own direct to stellar
marketing and things like that.
Obviously, you know now thetime commitment to that can be
(09:51):
pretty extensive just to get onedeal.
But you're getting it at theprice where, for people who are
busy, they've got good W-2s,they just want long-term wealth.
A lot of times, yeah, you'regoing to pay more for that
property.
You're going to pay more forthat property.
You're going to pay thatwholesaler or whoever you're
sourcing that deal their fee.
But you don't have to be likeif time is money, you don't have
to give up all that time andenergy and effort to go source
(10:11):
that deal.
You can just be doing exactlywhat you did, like let's just
start building the portfolio.
Speaker 2 (10:30):
no-transcript seller stuff so I basically took last
last year I had kind of done iton and off with, like some
mailers here and there um, lastlast year I basically took a
call it a sabbatical um from mywork to get into it, um, and
(10:51):
start actually kind of trying tobuild out, build out the
systems and make it consistentand um, and so that was last
year and then a little bit intobeing in this year and then I
went back um, back to my, myfull-time job, okay, um, and
changing some strategies alongwith that.
But it was kind of like let'stake this year and get the
(11:12):
experience and see what thatlooks like, what I'm good at
there, what I'm not good atthere, uh, you know where I need
to bring in help and what I cando on my own.
Speaker 1 (11:25):
That's awesome man, and that's.
I think that's really a goodlesson for a lot of people too.
When we started in thisbusiness, we did a bunch of
different exit strategies.
We did a bunch of differentthings, we tried a bunch of
different things.
And then we figured out, hey,we're really good at these few
things, we're not good at thesethings.
And then we can go out and oneof my favorite books we're
reading it now in our our, nowin our business that I've
referenced in the last coupleepisodes, I think, but it's who,
not how, by Dr Benjamin Hardy,and it's such a simple concept.
(11:47):
But as I listen to it, it'slike I'm re-listening to it.
I'm just like this duh, some ofthese roadblocks that are
keeping us from growing, it'sjust a who problem, right, it's
not a how problem, it's justlike.
So I'm getting in right now inour business, back into certain
things in the sales side ofthings, and I'm going back
through and I'm kind of doingthe do to figure out what are
the things I want to keep andwhat are the things I don't want
(12:07):
to do.
And then I'm going to, I'mgoing to find somebody or
potentially a tool that maybe wecould talk about to replace
that and have that do the workfor me, so that I don't have to
be the who doing the how right,I can have a different who or a
technology or some kind ofsystem to replace me in in that
how.
(12:27):
Yeah, it's a really good book.
It's a great book.
It's one of my favorites, so alot of his stuff is great.
Anything I read from Hardy isis is really good.
So talk a little bit about someof the, some of the stuff that
you're doing.
So, as the data, as the datascientist guy in you, what are
some of the, some of the waysyou're using data or technology
in your real estate businesstoday and in this current
environment we're in?
Speaker 2 (12:56):
Yeah, I mean, for me it's always the simple things
that I've always done.
Um is, I guess, be veryrepetitive and um, purposeful,
and tool and tools that aren'tnecessarily ai, but just like
running numbers on things.
So okay, and and actually I'lltie this into who, not how,
right.
So when I was early on, I waslike you know what I'm, so I'm
so good with an excel I'm waybetter than excel than all these
(13:16):
other people like I can buildmy own excel spreadsheet, um.
And then I was like you know,I'm spending more time building
this excel sheet than I amanalyzing anything.
Um, and so I moved away fromthat.
I was like you know what?
There's a bunch of really goodtools out there.
Let's just use those and beevery time.
Here's, here's how I run mynumbers.
(13:38):
I run it through the samesystem every time.
You know if I get my greencheck marks, we're all good, I
don't we're not all good, yeahand so like.
For me that looks like prettysimple stuff, like just using
deal check um rehab estimatorpro, just to make sure that I'm
going through the process andchecking the buttons, and that's
kind of like phase one really.
(14:00):
As far as yeah, as I am.
As far as data, Is deal?
Speaker 1 (14:04):
check a?
Uh.
Is that a tool?
Is that, or is that just what?
Uh, something you call yourspreadsheet?
Speaker 2 (14:10):
No, it's a, yeah, it's a tool.
Uh, it's a software system thatyou can get.
Um, I think they have freeaccess.
They also have paid um, a paidversion as well.
But basically, you know youcan't do literally everything
that you would want, like you'renot going to do sub twos and
like creative stuff in therenecessarily.
But, um, okay, they havetemplates set up that you can do
(14:31):
some customizing for that are.
You know, this is a rentalproperty, this is a flip, this
is a burr, this is a wholesaledeal, okay, um, and you
basically go in and set up well,you know, I got to have such
and such LTV, so I know I canget a loan, or I got to be at
such and such cash flow per door, or I want to have this IRR, or
(14:53):
you know, whatever yourcriteria are, you set that in
there.
And then when you go to any ofthese properties, you type an
address, it pulls the publicdata and you just like fill out
like oh's my, if I'm getting mybank that does a 30 year
mortgage, here's that template.
If I'm looking at my bank witha 20 year AM, here's that
template.
If I'm hard money, here's thattemplate.
(15:13):
And you kind of just make sureyour taxes and insurance and
everything are good to go, andthen you look for your green
check marks.
Speaker 1 (15:20):
That's awesome.
Like I need to get that to it.
We have spreadsheets, too.
Like same thing.
Like we have our spreadsheetsthat we run and that's how we
decide what we're going to lockup.
But I think that's a great toolbecause you have the different
templates in there.
You just set it up once, you dothe work once and then boom.
What I love about that, john, Ithink this is a good nugget for
anybody out there listening.
Uh, so when we put a deal out,as you know, we send you a
(15:42):
picture in an email.
You click on the picture.
It brings you up by a resourcefolder.
We call it in there.
We've got an inspection report,we've got a video, we've got
all this sort of stuff right.
Sometimes, some people that area little bit more traditional
and old school and I'm notsaying this is wrong or right,
you know this is just the waysome people prefer to do it.
They do not like our systembecause they need to walk
through the property right.
They have to physically bethere to get the emotional feel
(16:06):
of the property.
What I love about what you'redoing is you're taking out all
emotion and you're making itstrictly about your buy box and
what the data says If it checksall the greens, we buy, if it
doesn't check the greens, wedon't buy.
It's not.
Ooh, I really like how this onefeels when I walk in, or I
really like that it's just dataand that makes it.
I think, for anybody looking togrow and scale at a faster pace
(16:29):
, it's going to make your lifeso much easier to do it that way
, versus having to go walkthrough it and just get the feel
of it.
A lot of times we can talkourselves out of deals, real
easy, right.
We can find a lot of reasonsnot to buy a deal.
That's scary, it's risky.
These are big numbers we'retalking about, right?
Speaker 2 (16:51):
But what you've built is a system here to take out
all of that emotion it soundslike, and just make it about the
numbers as much as possible.
Definitely, I mean, and I guessthe thing that I would tie back
into as we jump into like morecomplicated AI pieces, is that
all of those things are built ondata.
So anything that is wrong withhow you don't like the AI, what
it's doing, it's because of thedata that created it.
(17:15):
And so the foundation of all ofthis stuff is is the data.
So, whether that means you havean AI tool or you have a
spreadsheet, or you have youknow deal, check if you put the
wrong data into it you're goingto get the bad results.
Speaker 1 (17:29):
I can make a spreadsheet.
Speaker 2 (17:30):
Yeah, I can make a spreadsheet and I can make every
deal, check off all the stars.
But if I just made up the data,if I didn't look up the
property taxes, if I didn'tconfirm like what have I been
paying in insurance Right, andput the right insurance amount
in there.
You can get green checks, butit doesn't mean it's going to
work out.
Speaker 1 (17:48):
Yeah for sure.
I see that too on the flip side, john, when you mentioned Rehab
Estimator Pro.
So those of you guys that don'tknow, this is a tool that you
can use.
So if you're not familiar withrehab costs, for example, it's a
great tool to kind of startgetting familiar with rehab
costs.
Example, it's a great tool tokind of start getting familiar
with rehab costs.
You can, you know, look at thevideos or inspection reports, or
if you're walking through someproperties you know and and
(18:09):
going that route, you can startplugging some of these things in
.
But just like what you're saying, john, what I've noticed is you
have you have to maybe get withsome people who know their
numbers, because when you firsttake that thing out of the box
it's going to have a presetnational average type of a
number in there.
Right now I live in Door County,wisconsin.
I can tell you just fromexperience in the last year
(18:29):
we've started to do some moreprojects up here.
Our costs up here are literallylike double what I can get in
Green Bay and I'm an hour north.
So you've got to kind of knowyour region and what your
contractor going rate is, whatthe price is of the material
should all be roughly about thesame, but your labor costs and
all that stuff.
So if you just take it out ofthe box, like what John's saying
(18:50):
, and you think it's just goingto know exactly your costs and
your everything else, you'regoing to miss out on a lot of
deals potentially, because Ithink could be really over
inflating what the rehab costsmight actually be in your
specific area or with yourconnections over or under for
sure?
Speaker 2 (19:06):
yeah, you want to again.
You got to check the numbers,look at them.
It's really good to make sureyou get everything accounted for
, um, but it's going to bereally helpful if you also ask a
friend or shop on home depot todouble check yeah, and just get
I think that's a great piece ofadvice just get it when you're
first starting out using thesetools.
Speaker 1 (19:25):
Just get a couple of different eyes on it and get a
couple of different people'sopinions on it Contractors, when
we use it.
We used to use it years ago andwe would have our contractor go
, we would get their quote andthen we would compare it to this
and we just kind of keep doingthat for a little bit until we
could tweak the numbers and getpretty dialed in on what our
contractor was going to becharging us for this stuff, and
then it was super helpful.
Then it made it really easy,especially as we were training
(19:47):
people.
The who's how to coming up withrehab costs can be one of the
biggest factors when they'relocking a deal up, for you Might
not know all the stuff.
So having that tool for themwhen they started out with our
actual costs was important.
But you got to keep updating ittoo.
Prices change Yep, right, got tokeep updating it too.
(20:12):
Prices change, yep, right.
We've definitely seen that overthe last few years, right?
Uh, yeah, yeah, yeah, yeah.
Well, those are two greatnuggets.
So deal check and rehabestimator pro.
I think we actually have adiscount link for rehab
estimator pro which I can put inthe show notes.
Uh, if I still have it, I'llcheck on that, but if anybody
wants to do use that tool, we'llthrow a little link in the show
notes for you guys with thediscount code on that.
John, what are some otherthings you're using on the data
tech, ai side of things?
Speaker 2 (20:33):
Yeah, so I mean I think I mentioned earlier so I
do have a CRM.
Since I'm doingdirect-to-seller marketing, I've
been using Resimply and theyhave they've released a number
of of tools now into that, thatkind of help, a lot of different
functions.
So they have like an AI texturebuilt in so you can actually
(20:59):
have the AI you know, textingand responding to your leads,
and I'm I would say I'm stillearly phase of testing that, but
it's supposed to take in theother communication and notes
that you've, you know, left onthe person.
So it's all out of the contextbuilt in of who is it actually
(21:20):
talking to, as opposed to, youknow, a preset drip campaign
template.
Yeah, and then the other thingthat I've been liking and that
that you know you can they haveit built in but you can do it on
your own too is feedbackcoaching on sales calls or lead
(21:40):
management calls.
They have it built into the CRM, yep, so whenever I get on a
call, it's calls are recorded,like all my phone numbers that
route through there, like I getthose, those recordings, and so
they're just a button.
Now you can put hit, get leadmanager score, get acquisition
manager score, and it gives youa whole summary of like a lot of
(22:03):
it's broken down into, you know, timeline, price motivation,
sure Things of like, well, youtalked about this and that was
good, but you didn't go too deepinto you know how long it's
been vacant, like they mentioned.
It's been vacant for a longtime, you acknowledge, but you
didn't like, oh well, is itgoing to be vacant another six
months, type of thing, or uh,it's so good.
(22:24):
It gives you a score on there,and so those summaries are are
helpful.
Speaker 1 (22:29):
Yeah, Um can you train it to pick up on other
things you wanted to listen for,or is it not really
customizable as far as the uhthe tool?
Speaker 2 (22:39):
Right.
So that's their tool, so it'snot customizable for me to do.
That's where I've now movedkind of into another area where
I've now been spending probablymore time than I should, just
because I like it as a funactivity and as a professional
(23:01):
nerd I just have a lot of fundoing it is making
customizations within chat, gpt,so, um, so in there now I I've,
I now can do things.
You know, obviously I'm notretraining the model from
scratch, but I can give it allthe appropriate context I want
(23:23):
for what I want it to do.
So I've made my own salesmanager, gpt, where I've taken a
lot of research into like whatare the best lead qualification
frameworks?
What is the best?
way to ask questions, what, andbasically put together these
extensive research docs whichyou can use AI to help you build
(23:45):
Right, right, and then feedthat back into my custom tool.
So then I can now role playwith it and say like hey, I
talked to a person and they werein this situation, like, let's
mock up that conversation.
Or like here's all the notesfor my CRM on this person.
What should I talk to him about?
To him next.
(24:06):
And it'll give me like stuffgoing into the call that I
should be bringing up.
Speaker 1 (24:12):
Yeah, we do that too and that's that's been a great
tool for us.
I think we started, started itup, around January and for me as
the trainer for our team, mybig, my big issue was trying to
sit and listen to, you know, toall of these 10 to 15 to 20 to
30 minute calls and just try tostay on top of that to give the
(24:33):
team feedback.
Well, as soon as we got thisgoing, I mean now we have it set
up to our VA, puts thetranscript into the GPT, it
spits out with whatever promptwe've set up for it to always
analyze it with.
Now it spits out the report andthen that zaps to Slack and
pings to the rep in Slack sothey get their little report on
(24:55):
that, on that call.
Every day they're gettingmultiples of these.
So and we've we trimmed it down.
We had a pretty extensive for awhile as far as all of the
feedback it was giving them andit would score each part of the
call and all this kind of stuff.
So I mean you can get it reallyrobust, but with the amount of
volume of calls they're doingand that kind of thing, it was
almost becoming like nobody wasreading it because it was too
much.
So we just now it's like giveus the two things they did
(25:18):
really well and the twoopportunities they missed for
every single call and it's kindof compressed it a little bit.
I know we're missing somethings, but I just need them to
read it on a regular basis andcheck it.
But it's really good for us.
We do training every um everymorning on certain things and so
for us now we'll just pull upsome of the, some of the GPTs
and see what the see what GPTsaid and then and then we'll
(25:40):
listen to the call togethersometimes and compare what GPT
picked up versus what the uh,what, what the score, what the
rep is thinking they said, and alot of times GPT is spot on.
Speaker 2 (25:51):
When you uh, when you do that, do you have it where
it's all based on the prompt,with the whatever version of
chat GPT you're using, or do youhave like customized versions
of chat GPT where you'veuploaded all the additional
training files and contacts anddone all that stuff?
Speaker 1 (26:10):
Yeah, we put it into the customized GPTs and then we
just have the same prompt forthat custom GPT every time, and
that to your point.
What was really cool is I hadall these training videos for
new hires and I just took anupload at all of the training
videos to that cause, you know,for the lead intake calls and
hires, and I just took anduploaded all of the training
videos to that cause, you know,for the lead intake calls and
our script.
And then you know, we've addedother resources of people who we
(26:32):
also get training from as wellwith those and uh, and that's
been really cool, you know.
And then we still have to tweakit.
We still have to tweak it alittle bit because it was still
missing a few things, but it'spretty good after you spend a
little time training it, Right?
I mean, have you had that sameexperience, John?
Speaker 2 (26:46):
Yeah, I think that was insane.
That's worth like people haveall these awesome prompts,
honestly, but you get.
I think that's where the realmagic comes, like when you're
already in that field doing itand then you upload all the
appropriate background knowledgethat you expect someone.
Instead of saying, act like asales coach, you know.
At the beginning of your promptyou're actually saying here's
(27:08):
all the things like it it knowsbefore you talk to it.
Now, here's all the things thatsales coach knows.
So now tell me how this callwent.
Speaker 1 (27:18):
Yeah, Our team has also done this.
So we all share the same GPTaccount, you know, so that we're
all using this the same, thesame, you know.
So our VA can access it and Ican access and all this stuff
and I think what they've done.
Now we have a guy that doessocial media for us and so I try
not to go on Facebook everanymore.
You know, it's like too much ofa distraction for me and it's
it's not super productive, butwe still.
(27:39):
I'm still like it's important,you gotta be out there, you got
to be on social media.
So we have a guy that posts now, but they've trained a gpt off
of all my podcasts and videosand everything else that I put
out over the years, and so now,like this is going to sound
terrible.
So if you guys are commentingwith me on social media it's not
me, but it sounds like meprobably is what?
Because they'll plug it in.
(28:00):
They'll say what would cory sayback to this person?
And it like knows me?
And it responds and so farnobody's reached out and been
like dude, that was really rude,or you should have never said
that to me.
Speaker 2 (28:09):
So it's working so far.
Speaker 1 (28:11):
It's good it's working so far, but again, it's
a who, not how thing.
Now I'm, I don't have to besitting on social media
responding to all of these youknow comments or even posting
any content, or I have a gpt nowthat can come up with the thing
, like I would say yeah, andyou're, and you didn't also have
to make a specific, you know 10page frequently asked question
(28:32):
document, or how would coryreact?
Speaker 2 (28:34):
to this or that, right?
You yes, you already had thisother content.
You had this other stuff, andnow you could repurpose that
into a new tool exactly which,which is the really cool, it's
like we're talking about oh, didyou customize this?
are you using that?
What this kind of all gets tois no, is if you know it's a new
(28:55):
way to build a computerapplication, like you wanted to
do something and you know whatyou wanted to do.
So now, instead of having to bea computer programmer to build
a whole thing and say, well,what happens in this situation
and that situation, and you knowwhere do I store this piece of
information in a database andhow does the application grab it
(29:18):
at the right time, you can justkind of like.
You can either do you know,have it do research for you on a
topic you want it to researchor you can you can
dump everything you won't thinkor know or want to talk about on
a subject into a document, putit in chat, gpt, and now it's
going to respond like the wayyou the way and, like you said,
(29:38):
there's tweaking and things thatgo.
But I mean the possibilitiesare are endless as far as what
you could get it to do.
I mean, the possibilities areare endless as far as what you
could get it to do.
If there's a problem you'restruggling with, you now have
the power to make an app tohandle it.
Speaker 1 (29:53):
Yeah, yeah, it's awesome, it's people, people
that are around my kids alwaysjoke.
They're like you and mom areobsessed with chat, gpt.
And I'm like, yeah, we are likeany any weird.
You know, kids are soinquisitive John, you have what?
Four kids, four kids, more kids, the same here.
So they, you know, we get askeda lot of questions every day.
I have no idea what the answeris, but chat usually knows.
(30:14):
So I usually plug it into chatand I can answer my kids
inquisitive questions nowwithout me having to feel like
an idiot, you know, not knowing90% of what they're asking me.
So so that's pretty, prettyphenomenal.
Can you just explain realbriefly, john, because it's
pretty simple?
But for those that are outthere listening, because this
was a big thing for me, I'm like, oh man, I'm going to have to
hire, I'm going to have to hirea who to build out my custom
(30:36):
GPTs.
And then my brother actuallywas the one that was like, dude,
no, you just go here, you clickhere and then you just start
training it and I was like what?
So can you just explain topeople real quick, like the
steps to make a custom gpt andchat?
Speaker 2 (30:49):
yeah.
So if you you know I think youhave to you need to have a chat
gpt.
Obviously you need an account.
I don't know if you need a proplan or not to make oh okay,
which like 20 bucks a month forthe, for the pro plan, um.
I mean, I held out for a longtime.
Now I'm paying for it, I'm glad.
But yeah, once you have that,you basically click your profile
(31:13):
picture.
There's like a little my GPTthing that comes down and you
get.
You know, it's like build oneand there's just a little box
there so you can.
There's a describe to build, soyou can just type like into the
box, like build me one, andtell it what you want and it
(31:35):
itself will basically puttogether what it thinks you need
to build that.
So that's kind of like theeasiest step, like lowest
barrier to entry, um way to doit.
Then there's also the another,another way where you can.
There's a tab that's been in,configure, and you can go in
there.
(31:55):
And then you same idea, likeyou give it a name, like what
you want to call, so you canfind it in your menu and
describe it and stuff, uh.
And then you got to tell itwell, what, what do you want me
to do?
So you have to giveinstructions like are, are you a
jerk?
Are you a nice person, you know?
Are you, um, you know acopywriter?
Are you a data analyst?
Are you, you know a ceo,whatever role, you know way you
(32:19):
want to talk, way you want it totalk type of thing, and the
instructions.
You know how to respond to userinputs.
That would all all go in there.
And that's the part that wetalked about tweaking stuff.
That's where that comes in.
You start testing, like I don'tlike how this talked or um,
whatever.
That's where that goes.
But then also then there thereis you know add files button,
(32:40):
and so you know, like easy, asan example, let's say you just
bought I don't know.
Let's say you bought Rich Dad,poor Dad, right, and you got the
PDF of it and you want RobertKiyosaki's advice on your next
deal.
You can drag and drop that PDFinto that chat GPT and it's
(33:02):
going to read the whole book andyou can say you are Robert
Kiyosaki, here's how you think,click bill, and then just, and
then you can start chatting withthem.
It's like, yeah, I got thisdeal, I'm analyzing it, it looks
like this or that.
And then you know I'd be like,well, that's, that's a dumb idea
.
That's a dumb idea.
I don't know.
I haven't built that one.
I don't know what he'd say, butthat's a good.
Speaker 1 (33:24):
I mean, that's kind of all that I want to kind of
build.
It sounds like fun.
He's got a lot of books too, soyou could probably just get a
bunch of the books and then it'sreally.
You're really getting all ofhis advice right, I brought to
mind too, actually.
Speaker 2 (33:34):
So I think, uh, cause I'm thinking like I don.
At one point, I think the WiscoRia, when you joined, they gave
you a PDF of several books, Ithink that might have been one
of them.
So it was 10X on there, so youcould drag and drop a couple
books from those and get ahybrid.
(33:55):
Grant Cardone, Robert Kiyosakisales or investment advisor.
Speaker 1 (34:02):
You just reminded me, john.
You and I, I think, are prettysimilar age.
Did you ever watch ShortCircuit growing up?
I don't think.
I don't know that one oh dude,classic 80s movie.
You got to go check it out ifyou haven't watched it.
But anyway, it's this robot andhe like, becomes like a person
and anyway he's at this chick'shouse and he's just reading
through all these books and he'sjust throwing it.
(34:22):
That's what I'm thinking of.
This you're talking about chat,gbt.
It's like short circuit.
Proactor had a premonition backin the 80s that this was going
to be happening at some point.
Talk about, though, you and I,before we hit record, something
else that I had never thought of, and I love this idea.
You were talking about sort ofbuilding your own board of
advisors within chat.
Speaker 2 (34:49):
Talk a little bit about that and some of the ideas
or thoughts you had around thatbecause I think this is pretty
cool for anybody out therelistening in any stage of their
investing journey or any otherthing they're trying to build.
Yeah, so the idea is that mostbig time companies, even small
companies, could benefit from aboard of advisors that have been
through it before and they'renot running the business, but
they can tell you what you needto do, things to think about and
when, and so one of the thingsthat you can do is apply that to
(35:12):
to chat gpt, in kind of thesame way, where, instead of
building that knowledge base foryour custom gpt of here's
knowledge on you know how to bea facebook marketer and here's
knowledge on how to be aFacebook marketer and here's the
way people write on Facebook,etc.
Etc.
You can feed it like here's allthe information I have on Grant
(35:33):
Cardone, because we're talkingabout it.
Here's all the information Ihave on Robert Kiyosaki.
Here's all the information Ihave on Ken McElroy Whoever.
Actually, I did a webinar onthis recently.
It's like you can do fictionalpeople Like do you want captain
Kirk on your board?
Do you want Yoda on your board?
Oh, that's cool, and and sowhat you do then is and again,
(35:56):
you can use chat GPT to help youdo this is you create these
extensive dossiers on thesepeople that you then upload into
chat GPT and say like, okay,you are, you're not one person,
you are all of these peopletogether or separately within
this one conversation.
And so that's amazing.
(36:19):
So I was playing around withthat the other day and, you know
, basically built it, got thepeople in there, and so I want
to rebuild my wholesalingcompany from the ground up.
Like, where am I going to start?
What do I need to go with?
(36:40):
And so it just spits out eachof the nine people on the board
has their own viewpoint.
Some of them were marketingexperts, some of them were deal
structuring experts, some ofthem were negotiation experts,
and they all bring their ownflavor.
And then you can start saying,alright, well, so those are all
(37:00):
the things I want to consider.
Well then, what would the actualblueprint be?
And they'd be like well, phaseone, weeks one through three.
You got to build out thesethings.
And it's like you know yourmission statement and who are
you marketing to, and like allthat stuff.
And so it's like okay, well,these two board members, you
guys, were the ones that werereally focused on the mission
(37:20):
statement, like help me craftthat.
Like here's kind of what I'mthinking, like what am I missing
?
How would you reward that totarget those people, or you know
?
And so then you can just kindof go deeper and pull in the
board members right, that hadthat viewpoint and then you can
jump back out.
It was just a test of like,could I set up this board and
(37:47):
would they give me eventuallyactionable steps, very discreet
things to do on a timeline oflike all right, here you go.
Here's your own 90-daywholesale company, that's
amazing and they know your arearight.
Speaker 1 (38:01):
Because if you build your own GPT or just your own
premium uh, chat, you can put inlike I'm john, I live in this
town, I'm this old, I have kids,this is what I do for a living,
this is what I want to do for abusiness like you can build all
that in and tell chat that soit knows you right.
So then your board of advisorsthen would hypothetically know
that as well.
When they're giving you this,they could potentially provide
(38:23):
you more regional type of advicebased on what you're trying to
do as well.
Speaker 2 (38:27):
And the other thing that gets to that point actually
is one of the things that Istarted doing a couple months
ago now is like one of my chatsis like a personal assistant
chat, and the way I use that isevery, every morning I have like
(38:48):
three reflection questions thatI answer into chat, gpt, and
then I go well, here's likethings that are scheduled Like
these are just like on the dayfor this period of time, and
then I go here's my threepriorities, like build my daily
schedule, and on top of that Ido the um uh traction book.
Speaker 1 (39:09):
It's like I've gone through the whole vto organizer
and it's like I've done that.
Speaker 2 (39:14):
It knows like I rocks and my 10-year target and all
this stuff, and so I've builtthis personal assistant around,
like this is what I'm trying toaccomplish business-wise.
I also have these like familylife goals and so like now,
here's what today looks like.
Build my schedule and you knowwhat my kpis are and like what
(39:36):
my like bigger longer term goalis.
Keep me on track.
And then the end of the dayhere's my end of the day
reflection pump update.
My KPIs give me new reflectionsfor tomorrow based on what I
said went well or didn't go welltoday, and so the next morning
there's my new reflectionprompts to start the day and get
everything planned.
Oh my gosh.
Speaker 1 (39:57):
So now, it's all cycled.
Speaker 2 (39:59):
So now when I go to do these other things, it just
has all that memory so it doesmonths of me doing business on a
day-to-day basis.
So like it's like I didn't haveto tell it who I was anymore.
It's just like I'm building awholesale company.
It's like, well, you're Maxihomebuyers and like you know,
just like knows all the stuff.
Speaker 1 (40:15):
Yeah, that's so cool, dude.
I'm getting so many great ideasfrom this.
So, audience, if you'relistening to this and you are,
if you're like tuning out, ifyou would need one of those
headsets John talked aboutearlier and make sure you're
tuned in you are missing out onsome really good stuff here.
This is incredible, dude.
I'm just thinking about that.
We had consultants come in inOctober.
You know we're paying themthousands and thousands of
(40:37):
dollars to sit with us and gothrough all this stuff.
Why would we not just plug thatin to a GPT and just have it
keep us on track every day?
And then we have our team put ascorecard together every day of
how they did on the day, whattheir hots are, what do they
need to focus on the next day orwhat do they think it is?
They can have their own, basedon their own personal goals for
the year with us or the goalsthat we set for them.
(40:57):
Oh my gosh, dude.
Speaker 2 (40:59):
There's, it's so much .
Speaker 1 (41:01):
It's really it's.
Speaker 2 (41:02):
I mean, what time I don't know.
I forget what time it is orwhat time we have to get, but,
um, there's so many ways you cango with it.
And then the thing that has mereally jazzed up now, um, like
I'm looking to start.
I don't know where I'm going tofind the time to do this, but
what I really want to do is youknow, there's now this new layer
(41:25):
of I don't know what to call it.
I don't want to get tootechnical, but basically, when
two computer programs talktogether, it's like the
application layer, right?
They like there's a API thatthey communicate through with
what it's called.
There's a new one instead ofAPI MCP, which stands for model
context protocol, and so thisexists so that your chat bot can
(41:48):
now interface with programsthrough this model context
protocol.
So, instead of it, it's likeright now, right, so I use
Trello, like my GPT can likeoutput a list of things that I
can copy paste, and it justcreates a bunch of Trello cards.
(42:09):
Okay, With the mama contextprotocol, it would just be able
to talk to Trello directly.
Speaker 1 (42:18):
So then you're like eliminating yourself from having
to go in and actually put theprompt in.
It's just going to do it foryou.
Speaker 2 (42:24):
You'd be talking to chat GPT and I'd tell it like
here's my KPIs for the day, andit could MCP over to Google
sheets and actually write thoseKPIs in a Google sheet over
there.
Cause now it can talk to Googlesheets, just like it can talk to
me, and so there's there areother things you have to set up
and it gets more into the weedsas far as, like, the actual
(42:44):
programming and some things likethat.
Sure, but that's kind of wherenow I'm really excited and I
want to.
I'm planning some yeah,planning some projects around
that of like okay, now can Italk to chat gpt, but have stuff
happen elsewhere so that Idon't have to take it from there
and put it into there.
Speaker 1 (43:09):
That's so cool, dude.
There's so much, so much coolstuff happening right now as
we're, as we're living in thisamazing time and in the world.
Uh, it's pretty crazy goingfrom short circuit, you know,
being the uh being a crazy dream, to uh, we have a real life
short circuit happening rightnow and we can utilize it to
become more efficient andeffective.
And the other thing too youknow you mentioned the deal
check thing before.
I would imagine you know GPT.
(43:30):
You could build your own dealcheck right in GPT.
Right, if you didn't want touse that software, you could.
You could have it kind ofprompt you.
Here's the things what, whatare these numbers or what does
this look like, or whatever thecase is, maybe use deep research
if you had to.
Speaker 2 (43:44):
That's something I wrote down Cause I got a list of
like ones I want to trybuilding and that that's that's
on there.
I didn't prioritize it becauseI had deal check and because
math can be where it strugglesRight, like theoretically it can
do all that advanced math, butalso, like you, better be able
(44:06):
to know how to do yourself tocheck it, like if it spits out
an IRR.
I'm not sure I'm going to trustthat at face value.
Speaker 1 (44:15):
Would you use another soft like like grok or
something, to throw it into grokand see if they come up with
the same answer?
You could do that.
Are they both kind of the same?
Speaker 2 (44:23):
Me being me, like, I would throw it into a
spreadsheet, that's like I knowthe numbers line up to that that
thing, and have your, your likeknown test.
Um sure, but for other stuff,like, I have seen it work pretty
well for some other stuff, likewhen I was messing around with
the ai board of advisors, um,that I made.
You know it's like I want um.
(44:45):
You know I told how many dealsI want to do a month and like
average um thing for a deal.
And then like uh, averagerevenue per deal or profit per
deal and uh, like the grantcardone person in that like spit
back, like if you're gonna havethat revenue and it was the
right amount of revenue, if youlike put those numbers together
(45:06):
in a year, yeah then, like yougotta have x sales, like you
gotta have these many sharks onyour team, just like crushing
the phones.
You know it's like in his voiceand I was like all right.
It didn't get the math right.
It was a pretty simple mathproblem, but it it got it right
yeah that's awesome.
Speaker 1 (45:21):
I was thinking the board of advisors things too and
that's speaking of another showis I think it's called the men
who built America.
It's like Ford and JP Morgan,and you know a bunch of those
guys from back in the late 1800s, early 1900s, that were the big
Titans of industry, and youknow you could get some of that
kind of stuff in there too andhave you know Henry Ford telling
(45:41):
you what to do or somethingThat'd be pretty sweet, it'd be
awesome and that's like, yeah,you can, anything that you can
do research on and feed it theknowledge you know, like we have
.
Speaker 2 (45:51):
We have that history so you can teach it to talk and
have those viewpoints.
Speaker 1 (45:57):
Holy cow, I love this stuff, man.
Uh, john, this has been awesome.
We're going to get we're goingto get going to reps.
I know you got a real job andyou have a business that you
have to build and a lot moreGPTs to build.
So, uh, what are there anyother just quick hitter tools
that you think the audiencewould really benefit from or
that you know you you thinkwould be kind of neat to throw
(46:17):
out there?
Speaker 2 (46:19):
Oh man, I mean, if you haven't played around with
deep research in chat, gpt, playaround with that, otherwise
I'll throw out.
There's a Facebook group I'm inAI prompts for entrepreneurs.
I'll throw that out there,because if you want some
(46:39):
inspiration for what people aredoing, you can check that out.
It's a really good group.
People are dropping prettyawesome prompts in there to try
out.
And I don't use the saved postvery often on Facebook, but I do
.
When I'm going through thereI'm like, oh, this looks pretty
cool.
I would like to see how thiswould work in my business,
(47:00):
because it's like 450,000 peoplein this group, across all
industries, that are just like.
It's like 450,000 people inthis group across all industries
that are just like.
Here's what I'm using this for,like here's a prompt that I
used and, like you know, so it'sall sorts of people who are
doing all industries, all typesof sales, and they just put
their prompts in there and letpeople try out.
So that's, that's a place tocheck out.
Speaker 1 (47:20):
That's pretty, that's pretty amazing man.
I know, um, you don't mentiondeep research.
I think I talked about this onanother episode, maybe.
Maybe it was with my Kiggins.
We talked about some, uh, somedeep research stuff and some GPT
stuff, but I know I'll just toreshare it again If people
didn't hear that that that deepresearch saved me probably a
month of legwork where I waslooking to build some new
(47:41):
construction, multifamily stuff,and so I put in you know,
here's what I want my LTV to beonce everything's up and running
, here's how much cash I have,here's how much I can invest,
blah, blah, blah, blah.
Here's the areas I'm looking todo.
And I hit deep research andthen it gave me like I don't
remember if it was like five to10 questions based off that
they're like, well, what aboutthis and this and this?
And I was like, oh, these aregreat questions, you know.
(48:02):
So I'm responding back and thenit's like boom, and it goes out
and maybe 20 minutes, maybe ahalf hour later I've got
basically it telling me not todo it.
You know I was like, okay, allright, thank you, you just saved
me a month of ruminating onthis and phone calls and digging
around and trying to run themath and doing all these
different things, and you justdid all the research for me to
(48:25):
come up with some of that stuff.
Now I've seen it on the otherside.
We've used it to runcomparables in our, in our
business, and we had to do deepresearch on a four unit, for
example, and trying to figureout ARV on this thing or what
it's currently worth, and I didnot like it at all.
I was pulling cops from like2020 and I was like, yeah, we
don't want that, so I might haveto build a custom gpt just to
(48:46):
tell it how I want it to runcops, and then I'm sure it could
.
It could probably run it better.
But we were just throwing it inand saying what's the arv on
this?
Speaker 2 (48:54):
here's the data, here's the address deep research
who's the uh contact person forthe wisconsin mls?
How can we build a uh?
Speaker 1 (49:03):
yeah there we go.
I mean, that's what you need.
Speaker 2 (49:05):
The data right.
Speaker 1 (49:06):
So it's like it's only going to find what it can
find, and if you can, it'spulling yeah, it's pulling
Redfin, it's pulling Zillow andany, any historical sales data
can, but uh, it's only as goodas, like you said, the data
that's available.
Speaker 2 (49:20):
You could give it that and say here's as much as I
, you know, because you go, youknow wherever your search thing
is, whether it's MLS orotherwise, like there's only so
many parameters and sometimesyou only got so many of them.
You know, at a point in time,for the property You're like,
well, you know, let's see whatis what is what is the best, but
you got to give it the bestdata.
Speaker 1 (49:40):
Right, right, I wonder if they have an API or
what the MCC, whatever else youwere talking about we got to
find.
Find someone who, uh, a brokersomewhere that wants this?
Yeah Well, I I have.
I have a few I could probablytalk to that would want it.
So get that hooked up.
All right, john, I know you gotto get back to your, your real
life here.
This has been an amazingepisode.
(50:02):
You're also going to be on ourpanel coming up at the REI
Success Club.
So if you guys got some valueout of this and you're like,
give me more of this, I wantmore of it.
We're going to have an AI panelthe fourth Tuesday of July.
I think is when we're havingyou on, correct?
So, yes, so come on out.
It's at the Woods Golf Course.
(50:22):
We open the doors at 6 pm forsome networking.
We kick it off promptly at 6.30.
We do a little bit morenetworking after the panel.
So the panel usually goes aboutan hour.
We'll do a little networkingfor about a half hour and then
just free networking after thatfrom 8 till whenever you want to
get out of there.
But that's going to be anawesome panel.
We have you and I'm trying toremember who else we have.
(50:45):
We have a couple other peoplethat are maybe utilizing it in
their own businesses as well, umon there.
So this is going to be aprobably one of my favorite REI
successes that we've ever had,so it'd be a lot of fun.
Yeah, john, before we wrap, wealways like to ask a little fun
question here, and this isreally.
We have people outside ofWisconsinisconsin they might
want to invest in wisconsin.
Maybe they're maybe they'reohioans or lsuans like like
(51:07):
yourself here, thinking aboutcoming up to this great state
and throwing some dollars andinto some properties here.
For those that don't know whatyou know, we like to tell them a
little bit about the favoriteplaces or traditions up here for
you.
Do you have a favoritewisconsin place to visit or
tradition that you that you'veenjoyed and you have?
Speaker 2 (51:24):
the outsider perspective now I mean a blanket
statement just all of summer,right, um, but we have, we just
love lake trips in the summer.
So, as much as we can, um, we'retrying to convince our friends
from out of state, our parents,everyone to come up here, and
just as many as we can, as wecan, we're going to door county,
(51:46):
we're going to wild rose, we'regoing to I mean, there's so
many lakes within an hour, twohours of where we are and
they're all a blast.
I mean, you can do the, thecampsites, get the cabins, you
know you can do something, butyou get hotel rooms.
You can stay at the bed, right,I mean, whatever kind of flavor
experience you want, you can dosomething, but you get hotel
rooms, you can stay at the bed,right, I mean, whatever kind of
flavor experience you want, youcan have it and all of them are
(52:09):
great and everything's beautifuland it just all has the
Wisconsin vibe of like we'relike we're just here and we're
having a good time and like noone has to be I don't know
Instagram worthy.
It's like let's just enjoy thelake and that's, that's what I
love.
Speaker 1 (52:26):
I'm with you, buddy.
I we travel a lot and I always,whenever I come back to
Wisconsin especially in thesummer or the fall to the fall
is a great time to be here it'sjust like man we.
We are really lucky to live insuch a beautiful state and with
some so many lakes.
Minnesota brags about theirlakes.
Speaker 2 (52:50):
We're just that's right.
Never, never knew, I moved hereand it's just like it's, it's
the best, just you know, yeah,we would like I said we're
always trying to recruit peopleto come visit, like why don't we
come to wisconsin?
Speaker 1 (52:57):
I'm like dude, because it's fantastic yeah, and
ever everybody thinks it's cowsand pastures and that's uh,
that's a portion of the statefor sure.
You know you can get on somepretty long drives here where
all you see is fields and maybea couple of quick trips.
But you can, you know, if youlook around.
You don't have to look very far,there's plenty of water if
you're into water stuff, soabsolutely Well, next time
(53:19):
you're up in Door County, man,hit me up and we'd love to hang
out with you and the fam and and, uh, catch up a little bit more
and probably nerd out with yousome more on some tech stuff.
We have the opportunity.
And thank you, guys all forlistening.
Guys, if you got some value outof this show, please share it.
I say this every episode.
Not only does it help us growthe audience, but it's also
going to help you get the wordout about you know, into real
(53:40):
estate and you're learning thiskind of stuff and you're going
to be able to attract lenders.
You're going to be able toattract deals.
You're going to be able toattract contractors and other
people that can help youaccelerate your goals and get
you closer to the end goal foryourself.
If you are out there and youwant to just have a conversation
like John mentioned justcalling me up five years ago and
you're not ready to necessarilyget on a buyer's list yet,
(54:02):
you're not really sure whatdirection you want to go with
your career or with real estate,you know, go to Wisconsin
discount properties.
Just hit the contact us buttonand either myself, reese or
Connor from our team will reachout to you and have a
conversation and try to try toget you connected up to this
awesome community that we havehere in Wisconsin for real
estate investors, and with that,john.
Again.
Speaker 2 (54:21):
Any last words before we part here I just say, yeah,
definitely, corey's been goodresource for me and I shared
that story, so definitely don'thesitate to reach out.
Um, I'm always happy to.
I love talking to otherinvestors.
See what everyone's doing.
Um, if you have more questionsfor me, reach out john maxi on
facebook.
Pretty easy.
Um love to help however I can.
like I said, I got a lot of helpand support when I was getting
(54:43):
started in the community up here, and so I definitely want to be
be able to give that back andhelp out however I can, whether
it's, you know, bouncing numbersoff or helping with some stuff
or you know whatever.
I'm happy to help, happy tochat.
Speaker 1 (54:58):
Awesome, brother.
Well excited to see you in afew weeks.
At the time this will probablypop and we'll we'll have even
more discussion there.
So if anybody wants to comecheck out John end of July,
we'll be at the time to do ituntil the next episode.
Guys, we'll see you soon.
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