Today, he’s hanging out with the Strategy Ninjas, a crew on a mission to turn bold ideas into real-life action—like turning a light bulb moment into a full-blown disco party! They’re all about giving entrepreneurs the lowdown on how to kick-start their businesses using AI and automation, making it a game-changer in the real estate scene. The trio dives into their AI real estate accelerator course, sharing some of their top-secret frameworks that help folks level up their hustle. He’s super pumped to have them as sponsors for the upcoming Paper Trail Conference, where the fun and knowledge will be flowing like a river of good vibes. So, grab your favorite snack, kick back, and get ready to soak in some seriously cool insights about using tech to make business dreams come true!
Companies mentioned in this episode:
- Strategy Ninjas
- Paper Trail
- ChatGPT
- Grok
- Claude
- Gemini
- Copilot
- Perplexity
Links referenced in this episode:
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:43):
Today I was honored to havethe Strategy Ninjas on this episode
who has a mission to bridgebold ideas with execution.
They offer entrepreneurs astrategic first approach across AI,
other automations, consultingand more.
We got to dive into their AIreal estate accelerator course some
(01:07):
of the frameworks they use.
Awesome episode.
Because anybody knows me, weloves the knows that I love AI using
technology and really wrappinghow that can impact your business.
Also happy to have them be asponsor at the upcoming paper trail
conference, September 18th to20th in Chandler, Arizona.
(01:29):
So hope you enjoy this episodeof the Paper Trail podcast.
I'm here today with John, Lisaand Alex from the Strategy Ninjas.
How are the three of you doing today?
Doing awesome.
Great to have you on.
As I always tell people, I amhuge into technology, cutting edge
(01:51):
things and AI and justeverything that can, I'll say, streamline
a business.
And today there's so muchinformation out there and companies
that can do so many differentthings for people.
But what you provide is sointeresting because it's different
than what I've seen others provide.
(02:12):
But.
But I'll let the three of youtalk a little bit more about your
secret sauce.
Awesome.
I want to first I'm gonna goladies first.
The boss, Lisa, we're gonnalet her go because she has some good
insights and then we're gonnadive into a little bit about why
we think we're unique in themarket when it comes to education
and training and how we'rehelping those in the real estate
(02:33):
space.
But Lisa, I think we've beenin this space now for a couple of
years and really the three ofus came together about a year ago
to offer AI education andreally every industry.
But we specialize a lot in thereal estate space.
And part of the reason forthat is we all have so much experience
(02:53):
in real estate.
One of the things that wefound most people that are presenting
AI in this space, they'reeither real estate agents or investors
who are dabbling in AI andthey like to share what they're doing
or they're AI people who sharehow AI works overall, but not really
specific to this industry.
And where we differ is that wereally hone it in on how does this
(03:14):
apply to this industry.
And it is so moving soinsanely fast that if you are not
spending most of your timestudying this, you're going to get
left behind.
So what we always encouragepeople who aren't actively teaching
or implementing AI is findsomeone to guide you.
And that's really where westep in is let us do the heavy Lifting
(03:37):
of researching what's outthere and testing everything.
And then we'll come in andteach you how to apply it to your
business.
What I find interesting aboutwhat you just said is, and we see
this a lot in regards to thelending space and real estate is
you have technology companiesthat come in and people are geniuses
(03:59):
that come from the tech worldbut have zero real estate.
And it seems a lot of timesthey build their team tech driven
but not real estate driven.
And then you have the viceversa, where you have a lot of real
estate people who come in andthey're real estate driven but not
the tech driven.
So having both of those mergewith the experience is something
just very unique because a lotof people I talk to, you hit the
(04:23):
nail on the head, Lisa.
They know what they're talkingabout on AI and just what, how to
teach it, but they don't knowreal estate.
So what they try andaccomplish really doesn't maximize
the efficiency or benefit thatyou could get from it.
I'm so glad you validated thatbecause that's absolutely what we've
seen.
And I think that's where weget to approach this from such a
(04:45):
different perspective andreally, truly provide value.
And I can say that with ahundred percent confidence.
Anyone who walks away from anyof our trainings has something they
can actually implement right away.
And it's just so differentthan everything else we've seen.
And I'm sure it's just notgoing into ChatGPT and say, okay,
give me a post to post on Facebook.
(05:06):
Because I know that's where alot of people think, oh, I'm using
AI and it's, yeah, you're justhaving it create something, but there's
so much more that you can dowith it for your business.
Yeah, yeah.
One of the things we've beensaying lately is that they, these
AI platforms make it very easyto use poorly.
And that's something we seeconstantly, all the time.
(05:27):
And it's not anyone's fault.
It's really just you can go inthere and give it anything and it
will always give you somethingregardless of how well you did your
part or not.
And unfortunately, I think theproblem is that on one side, it makes
a lot of people who are usingit very casually think they know
everything about it andthey're missing out on a lot of really
high and valuable stuff theycould be doing.
On the other end, some peopledon't get any value out of it at
(05:49):
all and they stop using it.
So then they still end uplosing the opportunity to empower
themselves with it.
And something that justrelayed to me on that, John, was
I'm a part of a group forum onreal estate investing and a lot of
people started posting stuffand you can tell it's AI driven because
they got the M dashes and it's okay.
It's.
You can just.
With tel.
(06:09):
And it's like you said, it'swatering it down.
And a perfect example I'll usethat is very similar is we no longer.
If we're hiring somebody, wewon't use LinkedIn to get applications
because we literally get likea thousand applications.
And it goes back to what yousaid, John.
(06:29):
It's so easy to do somethingor apply.
People just hit apply forevery single offering and then you
get a thousand resumes and ohmy God, I can't go through this many.
And you miss the good stuff with.
That's mixed in with peoplewho might not be qualified.
And that's what I'm alsofinding a lot now with some of the
people just going to.
And I'm just using chat GPT.
(06:50):
I know there's GROK andeverything else, but that's just.
I'll call it the Kleenex brandthat everyone knows.
It's watering down a lot ofthe information that I've seen out
there as well.
And I'm just curious if you'vewitnessed that in your line of what
you do.
Absolutely.
Unfortunately, you mentionedthe M dashes.
It's funny because we'vetalked to thousands of people in
the last few years, but a lotthis year, especially in the real
(07:12):
estate industry.
And one of the things we getalmost every single time we have
a live event is this commentthat I always know when something's
written by AI because all ofit looks the same.
That's true.
When no one's actually usingit to its fullest ability or training
it or prompting well oranything like this.
And the reality of it is Icould give you something that I wrote
with AI and you would neverknow that I used AI because I understand
(07:34):
how to operate with it.
And that's the thing, is thatpeople jump in and they're doing
something really simple andthey're getting something very generic
out of it.
And then everyone thinks theyunderstand what it is.
But the flip side of that isthat there's a huge opportunity to
press in a more valuable wayto get something that's much more
comprehensive and unique andto your tone and to your brand.
And people actually get valueout of reading it.
(07:55):
There are ways to do that.
But people are really missingthe mark on that.
You see it everywhere.
It's not just this industry,but it's everywhere because people
are, they want an easy buttonto do something and they go to the
quickest route and say writeme a LinkedIn post.
Yep.
And that's the prompt andthat's what they get.
They get something that'sabout worth about that much.
And I've seen people who haverun it through on the flip side of
(08:17):
things, I've seen oneindividual who created his own voice
where he ran it through ninedifferent prompts.
That research, he's written somuch in the past that it learned
and like you said, he trainedit to basically read his voice, learn
his voice and now it assistshim in regards to doing more documentation
or responding to things.
Exactly what you said, John.
(08:38):
There is no way you could tellwhich was AI or which one wasn't
because he took the time andthe prompt and extremely detailed
versus just a generic promptthat is hey, give me this.
Which no.
And I'm come from a realestate slash financial background
and on the financial side wealways use the term garbage in, garbage
(08:59):
out.
What you put in how accurateyour data is going into a model is
going to give you how accuratethe data is coming out.
I get the sense that's a lotwith AI today is garbage less you
put into it the leastdesirable information get out of
it.
Yeah.
We like to equate it to.
I think people are treating AIlike another piece of software and
(09:22):
it's much more than that.
It's an intelligence.
Right.
For it's artificial intelligence.
Right.
And I think if you were toever train an employee, you imagine
if you just gave them like aone sentence instruction on how to
do X.
But that's how we're trading it.
And that's why we're getting alot of people are getting these responses
(09:42):
and these outputs is becausethey're still treating it like we
always do these comparisonswhen we do our workshops.
Like a Google search bar isvery similar to a ChatGPT search
bar but they're totally twodifferent things.
But people are still treatingit and I think there's a paradigm
shift that starts to have tohappen in the industries that are
going to start using everyindustry at this point where you
(10:05):
have to train it, you have totreat it like as if you were going
to train an employee, take thetime or hire somebody to take the
time to actually develop thatfor you and then you're going to
get something that's Powerful.
We like to say most people are.
They're in a Ferrari turningon the radio and they're like, wow,
this is an amazing sound system.
But they forgot that they'resitting in a Ferrari with a thousand
(10:26):
horsepower.
Like, that's in our handsright now and people are treating
it like a novelty.
So I'd like to pivot a littlebit and talk about where your firm
comes in and talk more aboutwhat you do.
You mentioned a little bitalready a teaser of the differentiator
of that extensive backgroundin real estate and kind of AI.
Love to have you share moreabout the programs you provide the
(10:48):
people and how you educatepeople to implement AI.
I'll say wisely as well asI'll use them ethically as well,
because I think there'sethical and unethical ways.
Of course, any technology canbe used.
We think of everything that wedo from a strategy mindset first.
Like, what is the actualstrategy behind why you're going
(11:09):
to use the tool?
And what's happening is a lotof people that were, especially in
the real estate industry,they're trying to implement AI without
a foundation, a strategy.
I'll give you one example.
This comes up a lot, I'm sure,in your space as well.
Everybody wants to automatesocial media, but the challenge with
that is that if you've neverhad a system in place or you've never
(11:31):
been consistent with creatingyour content with social media, and
then you go and, oh my gosh, Isaw this tool online by this guru
that said, you use this thingand it's going to automate 1,000
posts in two minutes.
Okay.
There's about 100 of thosepeople online, by the way, at least.
And but what is the strategy?
(11:51):
What's the process you alreadyhave in place?
And so we always want to take.
Everybody take a step back,think first.
AI should be first leveragedfor this.
The things you're doing inyour business right now, what are
the things that AI canactually help automate and create?
The productivity gains withthe actual processes that you've
(12:11):
already mastered in yourbusiness versus piling on new things
that you've never evenprocessed yet into your business.
So that's the first line of defense.
And then I'll go ahead andpass off the Lisa John to build on
top of that.
Yeah, I think it's that.
And what we see so much outthere is the shiny objects and people
chasing the shiny objectsyndrome and the easy button, and
(12:32):
it doesn't exist.
You have to understand how thefoundation works in order to create
a long term partner with AI,because that's really how we should
be viewing AI, is that it'sour partner.
And how do we create that relationship?
Our approach to it is we'renot going to give you the shiny object
like I know you want it andwe're not going to give it to you
(12:53):
because once you have it,you're not even going to use it because
you have no idea how to use it.
And so the approach we take iswe want to teach you how to use these
tools so that it becomes thatlong term partner.
Yeah.
And I think the something wetalk about often is you don't really
want, at least at this stagewith their abilities, you don't really
want things to be done 100% autonomously.
(13:15):
Like you don't want that.
It's not good enough yet to do that.
Maybe we'll be at some point.
What you really should belooking for is getting to 80 to 90%
down the road, which you cando very effectively when done properly
and set up your workspace andeverything else in a way where it's
completely comprehensive.
When we talk to people thatcome through our events or even some
(13:35):
of our programs, we talk aboutthis idea of going post prompt where
you can set up an environmentso well that you don't even have
to worry about what the promptis because the environment is so
finely tuned to what you'retrying to achieve or a workflow or
a Persona or a digital twin orwhatever the case may be, that you
can then operate 80 to 90% faster.
(13:56):
And that's not an exaggeration.
You can end up doing somethingthat would take you weeks otherwise
in 15 or 20 minutes.
If you have finely tuned yourenvironment to do so.
There are ways tosignificantly save time, make more
money, things of that nature.
But I think everyone is,they've bought into this myth of
I can press a button and it bedone for me now and I don't have
(14:18):
to do anything.
And even if that were thecase, it's not something that you
want.
What you want is to get almostall the way down the road and then
you take action, control whatyou can control and make sure it's
the right thing at the righttime for the right reasons.
And that's when you get likethe most value out of it.
There's no easy button or hita button to get something.
And I'll use an example ofwhere this is cost some people, probably
(14:38):
some potentially it would costyou big money.
One thing I'll mention, forexample and it's all three of you
mentioned is the efficiency factor.
Now things that we look at arevery standard.
For example, we buy nonperforming loans and every state
has laws about non performingloans in the process of foreclosure
defaults.
And there's documentation onthere that each state has, I'll call
(15:01):
it an encyclopedic.
Now we've taken thatinformation and created a model for
each state along with the listof the attorneys we use in those
states.
So instead of having to gofind an Excel form, now we've got
a little prompt within teams,little icon in teams that it's called
our little foreclosure thingwhere we type in who's the attorney
(15:21):
that we use in Southern Virginia?
And we'll spit up, oh, herethe three with the spreadsheet with
the link.
And that to me is using AIwisely because it's doing the research
that would take me time tofind something.
But it's not just the easy button.
And the other component I'llmention about people relying too
(15:43):
heavily on it is recentlythere was a large fraudulent activity
of loans in Baltimore andseveral other cities where appraisals
were heavily inflated.
Now a lot of people automatewhich part of AI.
A lot of sequences of, okay,this happens, boom, I click a button,
go do this.
And there might be these AVMmodels which are really, I'll use
(16:07):
a form of AI, essentiallyreviewing comps, but they're reviewing
comps of all the nearbyproperties that were part of this
fraudulent ring that gave allthese inflated values.
But if a human would havelooked at this and spent five minutes
on it, they could look downand said, oh, this doesn't look right.
People rely too much onsystems and automation and don't
(16:29):
take into the human errorfactor or the other thing.
Now look at is the fraudulent factor.
And not every human is doingthe right things.
And this is why for me, I'malways of the opinion I think it
can make people more efficient.
I think it can cause companiesto be able to do more.
But I to me and I love AI, Ijust don't see my company eventually
(16:51):
being like, okay, I'm the onlyperson and I can just hit buttons
to get every everything else done.
I need people because you needpeople who can think and also understand
the situations that again,maybe AI can or can't, but there's
always, I'm just, I wanthumans too.
Here's an interesting way oflooking at AI so AI can know everything
(17:13):
that's out there on the Internet.
What did they say about ChatGPT?
Chat GPT 5 is that it's a PhDlevel, which by the way, I just saw
a test that said it asked itto how many T's are in Tennessee
and it said zero.
So PhD level, I'm not sure,but it's close.
It does a lot.
And we can all agree what AIdoesn't have is experience.
(17:33):
So think about that for a minute.
Has all the knowledge, but itdoesn't have experience.
And when you start thinkingabout that, that's like a mind bend.
But it doesn't know, it hasn'tseen all these nuances of the interactions
of the business world.
And it may be able to makesome assumptions, but the experience
matters.
And I think that is the keydifferentiator that people need to
(17:55):
lean into is it's not going toreplace you, it should enhance you,
but it still needs yourbackend experience to actually make
it fully what it can be foryour business to scale, keep growing
and all the other things thatAI can do for you.
Another example I'll use, Ithink a lot of people can relate
to if they're sports fans today.
Take Patrick Mahomes gambling,typically, I'm guessing uses AI for
(18:18):
odds on what's going to happenin every scenarios.
And if Patrick Mahomes has aball with a minute left in the game
at the 30 yard line and isbringing it down the field, historically
teams might only score 20% of time.
So the odds may be low on that situation.
But it goes the experience.
I would not be betting againstPatrick Mahomes in that situation.
Just like I wouldn't betagainst Tom Brady because of that
(18:41):
experience factor that you mentioned.
And granted all the numberssay one thing, you're forgetting
momentum in a game as well.
That could turn othercomponents that just really take
that human element that is notpart of AI.
Yeah, there's really no datafor that.
They can't take momentum.
Momentum is a real thing andwhen it happens you feel it.
(19:02):
There's an essence tomomentum, but you can't put a number
behind that.
It's really interesting.
So I think it's the same thingwhere, hey, back to kind of John's
point, what we've been sayingget you 80 to 90% there, that's pretty
far.
That's a huge leap in theright direction.
And then let me tie the looseends with that 20 to 10% to get this
across the finish line in abetter way.
(19:22):
Yeah.
Will it replace me?
Will it not?
Yeah, I don't know.
Depends.
It depends on what you're doing.
Exactly.
I would like to talk a littlebit more, really dive into.
You've got a real estateaccelerator program.
I believe it's a four weekcourse for people.
If somebody's interested inthat, what's your elevator pitch
(19:43):
or what should somebody walkaway from that course with?
And I'm guessing it's not howto just do a LinkedIn post would
be my first guess, but I'lllet you guys explain.
I'm gonna give this one toJohn, cause John's are one of our
main educators there.
But go ahead John.
So we basically take peoplefrom a foundational level all the
way up to what's been referredto as agentic.
(20:04):
It's an accelerator, it's fastand you have to put in the effort
to get it off the ground withyourself and follow through everything
we have going on.
And we take people through theprocess every single week.
So it's four weeks, one hour aweek, and each week stacks on top
of the one before it.
So we started a foundation.
The full dashboard settings,custom instructions, these things
(20:26):
that get anyone who hasn'tgone through all those things already
to a point where theyunderstand the environment they're
in, the workspace that they're in.
Then after that we walkthrough all the features, what they
do, how to actually use them.
And there's a big differencebetween the two.
There's a difference betweenwhat a feature can do versus what
you can use it for.
There's a huge differencebetween the two.
(20:47):
And everything is centrictowards the real estate industry
for this specific program.
And so everything we gothrough in terms of use cases all
reflect back on that.
And then the week three, weend up putting all that together.
So we end up basically what welike to call like leverage stacking
or feature stacking.
These things together, usingone things to build another thing
to build another thing.
And then by the end of that,that process, you end up having a
(21:09):
fully functional workspace.
One of the things we gothrough is how to build a listing
to launch expert agent that'sable to.
You put an address, a littlebit information.
It goes through six weeks ofyour entire listing process.
Scheduling scripts for socialmedia, email templates, everything
you need for mls.
And it's just throwing in anaddress basically more or less.
(21:29):
And if you set up yourenvironment the right way, you can
do that.
How much time does that save you?
Weeks of time.
But you set it up once andthey're able to use it in a high
value situations after that.
And in the Final week we endup showing how to take all those
assets we just built and startplugging them into different things
like custom GPTs and otheragentic type of platforms.
One of the bigger things Ithink is mindset and as Alex mentioned
(21:52):
earlier, coming at it from astrategy first perspective because
all of these things change constantly.
OpenAI with GPT5 and just whatthey did last night, they changed
everything again.
It's this stuff that I've beenin the AI wild west for the last
few years and this is how it'sbeen the entire time.
It's never been static, it'salways been evolving very quickly.
(22:13):
And if you don't know, youdon't know.
And so one of the things wereally do go through is the strategy
first mindset, understandingthe why behind you're using this
stuff and then how to futureproof yourself by looking at it from
a philosophy of you standpointand not a shiny new object in the
room feature.
Because when something goesaway, you're lost if that's what
(22:34):
you're relying on.
But if you had a methodology,a philosophy of use behind why you're
using these things, then youcan jump from one platform to 10
others and start using all ofthem in the exact same way.
And that's the beauty of it.
You don't have to be lockedinto one thing or one feature or
one process.
It's more about a mindset andthe way you look at these things.
And I think as far as thebiggest takeaway from outside of
(22:56):
the more tactical things thatare happening and the more step by
step stuff, the bigger thing,I think, at least I would hope so,
is the philosophy and mindsetthat come with it.
You look at AI is basicallyanybody who's had a teenager who's
going through that, basicallyAI 10x.
That is really what it's likewith everything new coming out and
just all the different systemsof software.
(23:17):
Question I was going to ask isI know some people might use grok,
Chat, bgt, Copilot, there's somany different systems out there
as well to use, which a lot ofthem are backed one way or the other.
Does it really matter for somebody?
Like if somebody's just aMicrosoft person that's hey, I use
Outlook and Excel Word andshould I use Copilot or is that,
(23:39):
do you push everyone, you knowmore towards ChatGPT or Grok or.
I'm just curious where a lotof stuff you, you use falls into.
Yeah.
So I'll set the stage and thenLisa and John, you guys Fill it in.
Okay.
They all have their own.
We're a believer that you haveto master like try to master one
workspace.
Yeah because if you go in andyou try to master Claude and then
(24:02):
Grok and then Copilot, what'sgoing to happen is you've.
You're not going to get theessence of what is.
You wouldn't go into Gmail andthen go to Yahoo and then go to God
forbid, Hotmail or AOL whatever.
If those are still around,you're going.
To stopping dial up.
I think the end of the month.
So no more dial up for.
Hopefully not.
I still, every now and then Isee the aol, I'm like, is that still
(24:24):
around?
Somebody emailed me from aol.
We teach like Master one andwe'll lean into Chat GPT because
of the features Memory.
By the way, new feature Claudejust came out with memory.
No other AI tool had thatuntil gosh, yesterday or this week.
Chat G was the only one thathad memory.
So Claude's now in the gamewith that.
We'll see what Gemini and allthese other tools happen release.
(24:47):
But if you can just masterone, you can then transition into
like John was saying earlier,like the philosophy of use and understanding
because they're all, by theway, they're all replicating each
other projects.
Features is now in Grok and isnow in Claude and all that from a
security perspective, we'veheard and we were at a Microsoft
training, John and I, gosh, Ithink it was probably like two months
(25:09):
ago now and with Copilot.
So Copilot's interesting whereeverything stays within the graph,
their user kind of account.
It never leaves its four walls.
So if you're crunching numbersand data that's proprietary and all
this stuff, it stays in yourgraph within your Copilot, which
is from a securityperspective, that's what they put
(25:29):
their flag in the ground.
Hey, we're the most secure AIbecause our stuff never leaves.
It never even touches ourwhatever server or LLM server.
That's what they say.
So they all have their use cases.
So we, we're big believers that.
But you still have tomaster1.700 million users on ChatGPT.
If you're in Chat GPT, chancesare the other players are actually
(25:51):
adopting the features once you.
We can we go now from Grok toClaude easily, seamlessly.
Gemini and they all have theirdifferent use cases.
And John will kind of explainwhat we mean by that when it comes
like deep research and allthese other things because they do
have their nuance.
But if you'd never masteredone, then you wouldn't even know
(26:12):
the new.
What the nuance is.
You wouldn't even.
You wouldn't even be able toidentify it, you know, so I'll go
or Lisa or John if you guyswant to add.
All I know is the baby videoson Instagram that I see of a baby
talking and stuff like that.
Whichever ones those are,those are hilarious and pretty good.
So there's so much fun you can do.
Like, I.
And I use this example all thetime with the Image Creation and
(26:33):
ChatGPT, but back wheneverybody was creating action figures,
like, I couldn't get enough of it.
I lost so much time of my lifebecause I was creating action figures
for everyone I knew.
I was like, what would they have?
Because it's fun.
But beyond that, when it comesto really what platform people should
choose, I think right nowwe're in a space where everybody
is picking their tribe.
If you go back to cell phones,we used to have Nokia, we used to
(26:55):
have Android, iPhone.
Eventually it has pretty muchwhittled down to it's very hard to
find a flip phone.
I know because we tried tofind those for our kids.
We did not want to get them a smartphone.
And it's close to impossibleto find a flip phone.
But you have people who havechosen their tribe, iPhone or Android,
and that's really where we're at.
And I think that's what we'regoing to see with the LLMs, the large
(27:16):
language models and the racethere is people are just choosing
their tribe.
We lean pretty heavy intoChatGPT, partially because that's
the one most people arefamiliar with and already interacting
with.
They do serve a little bitdifferent purposes.
And a lot of it is like, wherethey get their knowledge and where
that database is for them.
I think oftentimes that justconfuses people more when you start
(27:38):
talking about that, whenthey're like, oh, my gosh, so I don't
understand which one I should use.
So a lot of times we leanpretty heavy into just chat GPT because
you're already there.
Let's stick.
And that's what most peoplehave heard.
Everyone's more familiar with.
And again, it's like Kleenexto me.
It's brand name that everyonejust calls AI.
Yeah, yeah.
I think it's a matter of,like, where you're already at.
Where should you go?
(27:58):
Where are you at?
Where's all your information at?
All these things do have theirown nuance, but the reality of it
is it takes a lot ofexperience and daily usage of these
things to understand theirnuance, because this is what we do.
I've had the paid version ofChatGPT since day one and it came
out.
I've been involved in betareleases for programs in the last
(28:20):
three years, four years or so,before they ever even hit public.
I've used this stuff on adaily basis and they all have their
own art to them, they all havetheir own nuances.
And you don't know that untilyou spend, I would say, probably
20 to 30 hours of using it toreally understand what you need,
what you can use it for,versus, like where it's better than
(28:41):
something else is.
For example, Gemini isfantastic at deep research.
It looks at probably 5x theamount of resources than what ChatGPT
will look at.
The output is completely different.
It's much more analytical anddata driven, but it depends on what
you need.
It goes back to philosophy of use.
If I want something that ismore data driven and analytical,
(29:02):
I'm going to go to Gemini.
If I want something that'smore like a book report that has
a narrative and is written inthe way that a human would write
it, I'm going to go to ChatGPT.
So I know the differencebetween those two things because
I've ran hundreds of Deepresearch runs at this point, so I
get it.
But most people don't have thetime to do that and I don't necessarily
think that they need to.
I think one of the moreimportant things is, as Alex mentioned,
(29:26):
trying to master one is superimportant for two reasons.
One, almost all the featuresare the same, whether they have the
same name or not.
They, almost all of them,almost all those platforms, Claude,
Gemini, ChatGPT, Copilot,Perplexity, they all have some form
of deep research.
For example, most of them cangenerate images, most of them can
search the web, most of themcan write like a human, most of them
(29:47):
can be pro, like they all cando the same thing.
Models make it a little bitdifferent and how you use them make
it a little bit different.
But you gotta lock into oneand master one.
And the other reason isbecause whichever platform you start
using the most is the one thatyou're going to be building in.
It's the one you're going tobe giving your files to, it's the
one you're sharing your data with.
It's when you're sharing allyour conversations, you're building
(30:09):
out projects and has thiscontext of who you are and what you're
doing.
And what you're trying toachieve and the more that you work
inside that system, the moreit knows you and the better types
of results and more valuableresults you get out of that experience
with those systems.
And for me personally, I putalmost all my eggs are in the chat
GPT basket, while I also havea task open right now for Grok and
(30:30):
Gemini as well, that I useboth of those on a daily basis for
their own reasons because Iknow why I'm going to use them.
But it all goes back to whynot what they can do, because they
can all do almost the samethings at this point.
But it's like why are yougoing to use them?
And then really locking in on that.
I think that's where youreally get the best value for it.
As we wrap up this episode, Iwant to thank you all for coming
(30:52):
on and look forward to seeingyou next month.
People want to reach out,learn more about the product, the
course, learn more about whatyou do.
What is the best way for themto reach out to you?
I know you have the websiteand so forth, but I'll let you talk
a little bit more for bestways to reach out.
Yeah, if anybody's interestedjust in learning more, just wants
(31:14):
to get on a call, justconsultation infothestrategyninjas.com
just email us.
You can go to our website aswell and fill out a form.
Our accelerators are everymonth accelerator.the strategy ninjas.com
we have lenders, real estate title.
It's anybody goes in there in,in any like ancillary, like adjacent
(31:36):
space, they're going to getthe value of learning how to set
everything up.
So we want to call that out inthe sense that yes, we're focused
on agents and all that, but ifyou're even on an ancillary or adjacent
part of the industry andyou're interested, just let us know
because in advance we've hadpeople join our accelerator and said,
hey, can you adopt some of theweekly content to match a little
(31:58):
bit about what my use case is?
And we can definitely do thatin advance.
So if we know who's joining,we can then make those slight adjustments
and make it valuable foreverybody, even though it may not.
They may not just be a realestate agent or a lender.
Yeah, yeah.
That's why when we teachprocess over prompts, it makes a
difference because you couldshow up in pretty much any industry,
(32:19):
quite frankly, and learn theprocess and you can apply it to anything
that you're doing and it's nota copy Paste prompt that just does
one thing for one person forone reason.
If I took anything out of justeverything that we just talked about,
that last statement rightthere is probably the biggest differentiator
most influential which is theprocess over prompt.
It can take but they're notlearning anything.
(32:39):
They've got a three paragraphprompt or whatever it is.
It's you need to understandlike you said that process which
then allow you to do other things.
If I only knew.
Okay, this is the prompt.
I'm stuck in that little boxand I'm never going to grow.
But process will let you buildand build upon which is really what
to me is going to make thebiggest difference for anybody involved.
(33:01):
Chris, you are hired to oursales team.
Officially.
No, you don't want me as a salesperson.
I am an awful salesperson.
So the two things I alwaysjoke about about myself is I went
to college.
I went to.
Because I didn't have to takean English class.
And I have a sales team on my,on my staff because I could talk
like AI all day long but otheror real estate but it really depends.
(33:26):
Other times when it's in a.
This is conversational but ina sales role I hate it because it's
a different environment andit's just.
It's not me.
Plus I talk way too much to bea salesperson.
I would never get anybody offthe phone and they just hang up on
me.
So I do want to again thankyou all for coming on today and now.
(33:48):
This is awesome.
I love talking about this andfor everyone interested, definitely
make sure you check out the website.
Reach out to them and anybodywhether you're buying loans originating
in real estate.
Highly recommend.
Thanks for coming on today andI look forward to seeing you next
month.
Yeah, we'll see you later.
Thanks, Chris.
Today I was honored to havethe Strategy Ninjas on this episode
who has a mission to bridgebold ideas with execution.
They offer entrepreneurs astrategic first approach across AI,
other automations, consultingand more.
We got to dive into their AIreal estate accelerator course some
(01:07):
of the frameworks they use.
Awesome episode.
Because anybody knows me, weloves the knows that I love AI using
technology and really wrappinghow that can impact your business.
Also happy to have them be asponsor at the upcoming paper trail
conference, September 18th to20th in Chandler, Arizona.
(01:29):
So hope you enjoy this episodeof the Paper Trail podcast.
I'm here today with John, Lisaand Alex from the Strategy Ninjas.
How are the three of you doing today?
Doing awesome.
Great to have you on.
As I always tell people, I amhuge into technology, cutting edge
(01:51):
things and AI and justeverything that can, I'll say, streamline
a business.
And today there's so muchinformation out there and companies
that can do so many differentthings for people.
But what you provide is sointeresting because it's different
than what I've seen others provide.
(02:12):
But.
But I'll let the three of youtalk a little bit more about your
secret sauce.
Awesome.
I want to first I'm gonna goladies first.
The boss, Lisa, we're gonnalet her go because she has some good
insights and then we're gonnadive into a little bit about why
we think we're unique in themarket when it comes to education
and training and how we'rehelping those in the real estate
(02:33):
space.
But Lisa, I think we've beenin this space now for a couple of
years and really the three ofus came together about a year ago
to offer AI education andreally every industry.
But we specialize a lot in thereal estate space.
And part of the reason forthat is we all have so much experience
(02:53):
in real estate.
One of the things that wefound most people that are presenting
AI in this space, they'reeither real estate agents or investors
who are dabbling in AI andthey like to share what they're doing
or they're AI people who sharehow AI works overall, but not really
specific to this industry.
And where we differ is that wereally hone it in on how does this
(03:14):
apply to this industry.
And it is so moving soinsanely fast that if you are not
spending most of your timestudying this, you're going to get
left behind.
So what we always encouragepeople who aren't actively teaching
or implementing AI is findsomeone to guide you.
And that's really where westep in is let us do the heavy Lifting
(03:37):
of researching what's outthere and testing everything.
And then we'll come in andteach you how to apply it to your
business.
What I find interesting aboutwhat you just said is, and we see
this a lot in regards to thelending space and real estate is
you have technology companiesthat come in and people are geniuses
(03:59):
that come from the tech worldbut have zero real estate.
And it seems a lot of timesthey build their team tech driven
but not real estate driven.
And then you have the viceversa, where you have a lot of real
estate people who come in andthey're real estate driven but not
the tech driven.
So having both of those mergewith the experience is something
just very unique because a lotof people I talk to, you hit the
(04:23):
nail on the head, Lisa.
They know what they're talkingabout on AI and just what, how to
teach it, but they don't knowreal estate.
So what they try andaccomplish really doesn't maximize
the efficiency or benefit thatyou could get from it.
I'm so glad you validated thatbecause that's absolutely what we've
seen.
And I think that's where weget to approach this from such a
(04:45):
different perspective andreally, truly provide value.
And I can say that with ahundred percent confidence.
Anyone who walks away from anyof our trainings has something they
can actually implement right away.
And it's just so differentthan everything else we've seen.
And I'm sure it's just notgoing into ChatGPT and say, okay,
give me a post to post on Facebook.
(05:06):
Because I know that's where alot of people think, oh, I'm using
AI and it's, yeah, you're justhaving it create something, but there's
so much more that you can dowith it for your business.
Yeah, yeah.
One of the things we've beensaying lately is that they, these
AI platforms make it very easyto use poorly.
And that's something we seeconstantly, all the time.
(05:27):
And it's not anyone's fault.
It's really just you can go inthere and give it anything and it
will always give you somethingregardless of how well you did your
part or not.
And unfortunately, I think theproblem is that on one side, it makes
a lot of people who are usingit very casually think they know
everything about it andthey're missing out on a lot of really
high and valuable stuff theycould be doing.
On the other end, some peopledon't get any value out of it at
(05:49):
all and they stop using it.
So then they still end uplosing the opportunity to empower
themselves with it.
And something that justrelayed to me on that, John, was
I'm a part of a group forum onreal estate investing and a lot of
people started posting stuffand you can tell it's AI driven because
they got the M dashes and it's okay.
It's.
You can just.
With tel.
(06:09):
And it's like you said, it'swatering it down.
And a perfect example I'll usethat is very similar is we no longer.
If we're hiring somebody, wewon't use LinkedIn to get applications
because we literally get likea thousand applications.
And it goes back to what yousaid, John.
(06:29):
It's so easy to do somethingor apply.
People just hit apply forevery single offering and then you
get a thousand resumes and ohmy God, I can't go through this many.
And you miss the good stuff with.
That's mixed in with peoplewho might not be qualified.
And that's what I'm alsofinding a lot now with some of the
people just going to.
And I'm just using chat GPT.
(06:50):
I know there's GROK andeverything else, but that's just.
I'll call it the Kleenex brandthat everyone knows.
It's watering down a lot ofthe information that I've seen out
there as well.
And I'm just curious if you'vewitnessed that in your line of what
you do.
Absolutely.
Unfortunately, you mentionedthe M dashes.
It's funny because we'vetalked to thousands of people in
the last few years, but a lotthis year, especially in the real
(07:12):
estate industry.
And one of the things we getalmost every single time we have
a live event is this commentthat I always know when something's
written by AI because all ofit looks the same.
That's true.
When no one's actually usingit to its fullest ability or training
it or prompting well oranything like this.
And the reality of it is Icould give you something that I wrote
with AI and you would neverknow that I used AI because I understand
(07:34):
how to operate with it.
And that's the thing, is thatpeople jump in and they're doing
something really simple andthey're getting something very generic
out of it.
And then everyone thinks theyunderstand what it is.
But the flip side of that isthat there's a huge opportunity to
press in a more valuable wayto get something that's much more
comprehensive and unique andto your tone and to your brand.
And people actually get valueout of reading it.
(07:55):
There are ways to do that.
But people are really missingthe mark on that.
You see it everywhere.
It's not just this industry,but it's everywhere because people
are, they want an easy buttonto do something and they go to the
quickest route and say writeme a LinkedIn post.
Yep.
And that's the prompt andthat's what they get.
They get something that'sabout worth about that much.
And I've seen people who haverun it through on the flip side of
(08:17):
things, I've seen oneindividual who created his own voice
where he ran it through ninedifferent prompts.
That research, he's written somuch in the past that it learned
and like you said, he trainedit to basically read his voice, learn
his voice and now it assistshim in regards to doing more documentation
or responding to things.
Exactly what you said, John.
(08:38):
There is no way you could tellwhich was AI or which one wasn't
because he took the time andthe prompt and extremely detailed
versus just a generic promptthat is hey, give me this.
Which no.
And I'm come from a realestate slash financial background
and on the financial side wealways use the term garbage in, garbage
(08:59):
out.
What you put in how accurateyour data is going into a model is
going to give you how accuratethe data is coming out.
I get the sense that's a lotwith AI today is garbage less you
put into it the leastdesirable information get out of
it.
Yeah.
We like to equate it to.
I think people are treating AIlike another piece of software and
(09:22):
it's much more than that.
It's an intelligence.
Right.
For it's artificial intelligence.
Right.
And I think if you were toever train an employee, you imagine
if you just gave them like aone sentence instruction on how to
do X.
But that's how we're trading it.
And that's why we're getting alot of people are getting these responses
(09:42):
and these outputs is becausethey're still treating it like we
always do these comparisonswhen we do our workshops.
Like a Google search bar isvery similar to a ChatGPT search
bar but they're totally twodifferent things.
But people are still treatingit and I think there's a paradigm
shift that starts to have tohappen in the industries that are
going to start using everyindustry at this point where you
(10:05):
have to train it, you have totreat it like as if you were going
to train an employee, take thetime or hire somebody to take the
time to actually develop thatfor you and then you're going to
get something that's Powerful.
We like to say most people are.
They're in a Ferrari turningon the radio and they're like, wow,
this is an amazing sound system.
But they forgot that they'resitting in a Ferrari with a thousand
(10:26):
horsepower.
Like, that's in our handsright now and people are treating
it like a novelty.
So I'd like to pivot a littlebit and talk about where your firm
comes in and talk more aboutwhat you do.
You mentioned a little bitalready a teaser of the differentiator
of that extensive backgroundin real estate and kind of AI.
Love to have you share moreabout the programs you provide the
(10:48):
people and how you educatepeople to implement AI.
I'll say wisely as well asI'll use them ethically as well,
because I think there'sethical and unethical ways.
Of course, any technology canbe used.
We think of everything that wedo from a strategy mindset first.
Like, what is the actualstrategy behind why you're going
(11:09):
to use the tool?
And what's happening is a lotof people that were, especially in
the real estate industry,they're trying to implement AI without
a foundation, a strategy.
I'll give you one example.
This comes up a lot, I'm sure,in your space as well.
Everybody wants to automatesocial media, but the challenge with
that is that if you've neverhad a system in place or you've never
(11:31):
been consistent with creatingyour content with social media, and
then you go and, oh my gosh, Isaw this tool online by this guru
that said, you use this thingand it's going to automate 1,000
posts in two minutes.
Okay.
There's about 100 of thosepeople online, by the way, at least.
And but what is the strategy?
(11:51):
What's the process you alreadyhave in place?
And so we always want to take.
Everybody take a step back,think first.
AI should be first leveragedfor this.
The things you're doing inyour business right now, what are
the things that AI canactually help automate and create?
The productivity gains withthe actual processes that you've
(12:11):
already mastered in yourbusiness versus piling on new things
that you've never evenprocessed yet into your business.
So that's the first line of defense.
And then I'll go ahead andpass off the Lisa John to build on
top of that.
Yeah, I think it's that.
And what we see so much outthere is the shiny objects and people
chasing the shiny objectsyndrome and the easy button, and
(12:32):
it doesn't exist.
You have to understand how thefoundation works in order to create
a long term partner with AI,because that's really how we should
be viewing AI, is that it'sour partner.
And how do we create that relationship?
Our approach to it is we'renot going to give you the shiny object
like I know you want it andwe're not going to give it to you
(12:53):
because once you have it,you're not even going to use it because
you have no idea how to use it.
And so the approach we take iswe want to teach you how to use these
tools so that it becomes thatlong term partner.
Yeah.
And I think the something wetalk about often is you don't really
want, at least at this stagewith their abilities, you don't really
want things to be done 100% autonomously.
(13:15):
Like you don't want that.
It's not good enough yet to do that.
Maybe we'll be at some point.
What you really should belooking for is getting to 80 to 90%
down the road, which you cando very effectively when done properly
and set up your workspace andeverything else in a way where it's
completely comprehensive.
When we talk to people thatcome through our events or even some
(13:35):
of our programs, we talk aboutthis idea of going post prompt where
you can set up an environmentso well that you don't even have
to worry about what the promptis because the environment is so
finely tuned to what you'retrying to achieve or a workflow or
a Persona or a digital twin orwhatever the case may be, that you
can then operate 80 to 90% faster.
(13:56):
And that's not an exaggeration.
You can end up doing somethingthat would take you weeks otherwise
in 15 or 20 minutes.
If you have finely tuned yourenvironment to do so.
There are ways tosignificantly save time, make more
money, things of that nature.
But I think everyone is,they've bought into this myth of
I can press a button and it bedone for me now and I don't have
(14:18):
to do anything.
And even if that were thecase, it's not something that you
want.
What you want is to get almostall the way down the road and then
you take action, control whatyou can control and make sure it's
the right thing at the righttime for the right reasons.
And that's when you get likethe most value out of it.
There's no easy button or hita button to get something.
And I'll use an example ofwhere this is cost some people, probably
(14:38):
some potentially it would costyou big money.
One thing I'll mention, forexample and it's all three of you
mentioned is the efficiency factor.
Now things that we look at arevery standard.
For example, we buy nonperforming loans and every state
has laws about non performingloans in the process of foreclosure
defaults.
And there's documentation onthere that each state has, I'll call
(15:01):
it an encyclopedic.
Now we've taken thatinformation and created a model for
each state along with the listof the attorneys we use in those
states.
So instead of having to gofind an Excel form, now we've got
a little prompt within teams,little icon in teams that it's called
our little foreclosure thingwhere we type in who's the attorney
(15:21):
that we use in Southern Virginia?
And we'll spit up, oh, herethe three with the spreadsheet with
the link.
And that to me is using AIwisely because it's doing the research
that would take me time tofind something.
But it's not just the easy button.
And the other component I'llmention about people relying too
(15:43):
heavily on it is recentlythere was a large fraudulent activity
of loans in Baltimore andseveral other cities where appraisals
were heavily inflated.
Now a lot of people automatewhich part of AI.
A lot of sequences of, okay,this happens, boom, I click a button,
go do this.
And there might be these AVMmodels which are really, I'll use
(16:07):
a form of AI, essentiallyreviewing comps, but they're reviewing
comps of all the nearbyproperties that were part of this
fraudulent ring that gave allthese inflated values.
But if a human would havelooked at this and spent five minutes
on it, they could look downand said, oh, this doesn't look right.
People rely too much onsystems and automation and don't
(16:29):
take into the human errorfactor or the other thing.
Now look at is the fraudulent factor.
And not every human is doingthe right things.
And this is why for me, I'malways of the opinion I think it
can make people more efficient.
I think it can cause companiesto be able to do more.
But I to me and I love AI, Ijust don't see my company eventually
(16:51):
being like, okay, I'm the onlyperson and I can just hit buttons
to get every everything else done.
I need people because you needpeople who can think and also understand
the situations that again,maybe AI can or can't, but there's
always, I'm just, I wanthumans too.
Here's an interesting way oflooking at AI so AI can know everything
(17:13):
that's out there on the Internet.
What did they say about ChatGPT?
Chat GPT 5 is that it's a PhDlevel, which by the way, I just saw
a test that said it asked itto how many T's are in Tennessee
and it said zero.
So PhD level, I'm not sure,but it's close.
It does a lot.
And we can all agree what AIdoesn't have is experience.
(17:33):
So think about that for a minute.
Has all the knowledge, but itdoesn't have experience.
And when you start thinkingabout that, that's like a mind bend.
But it doesn't know, it hasn'tseen all these nuances of the interactions
of the business world.
And it may be able to makesome assumptions, but the experience
matters.
And I think that is the keydifferentiator that people need to
(17:55):
lean into is it's not going toreplace you, it should enhance you,
but it still needs yourbackend experience to actually make
it fully what it can be foryour business to scale, keep growing
and all the other things thatAI can do for you.
Another example I'll use, Ithink a lot of people can relate
to if they're sports fans today.
Take Patrick Mahomes gambling,typically, I'm guessing uses AI for
(18:18):
odds on what's going to happenin every scenarios.
And if Patrick Mahomes has aball with a minute left in the game
at the 30 yard line and isbringing it down the field, historically
teams might only score 20% of time.
So the odds may be low on that situation.
But it goes the experience.
I would not be betting againstPatrick Mahomes in that situation.
Just like I wouldn't betagainst Tom Brady because of that
(18:41):
experience factor that you mentioned.
And granted all the numberssay one thing, you're forgetting
momentum in a game as well.
That could turn othercomponents that just really take
that human element that is notpart of AI.
Yeah, there's really no datafor that.
They can't take momentum.
Momentum is a real thing andwhen it happens you feel it.
(19:02):
There's an essence tomomentum, but you can't put a number
behind that.
It's really interesting.
So I think it's the same thingwhere, hey, back to kind of John's
point, what we've been sayingget you 80 to 90% there, that's pretty
far.
That's a huge leap in theright direction.
And then let me tie the looseends with that 20 to 10% to get this
across the finish line in abetter way.
(19:22):
Yeah.
Will it replace me?
Will it not?
Yeah, I don't know.
Depends.
It depends on what you're doing.
Exactly.
I would like to talk a littlebit more, really dive into.
You've got a real estateaccelerator program.
I believe it's a four weekcourse for people.
If somebody's interested inthat, what's your elevator pitch
(19:43):
or what should somebody walkaway from that course with?
And I'm guessing it's not howto just do a LinkedIn post would
be my first guess, but I'lllet you guys explain.
I'm gonna give this one toJohn, cause John's are one of our
main educators there.
But go ahead John.
So we basically take peoplefrom a foundational level all the
way up to what's been referredto as agentic.
(20:04):
It's an accelerator, it's fastand you have to put in the effort
to get it off the ground withyourself and follow through everything
we have going on.
And we take people through theprocess every single week.
So it's four weeks, one hour aweek, and each week stacks on top
of the one before it.
So we started a foundation.
The full dashboard settings,custom instructions, these things
(20:26):
that get anyone who hasn'tgone through all those things already
to a point where theyunderstand the environment they're
in, the workspace that they're in.
Then after that we walkthrough all the features, what they
do, how to actually use them.
And there's a big differencebetween the two.
There's a difference betweenwhat a feature can do versus what
you can use it for.
There's a huge differencebetween the two.
(20:47):
And everything is centrictowards the real estate industry
for this specific program.
And so everything we gothrough in terms of use cases all
reflect back on that.
And then the week three, weend up putting all that together.
So we end up basically what welike to call like leverage stacking
or feature stacking.
These things together, usingone things to build another thing
to build another thing.
And then by the end of that,that process, you end up having a
(21:09):
fully functional workspace.
One of the things we gothrough is how to build a listing
to launch expert agent that'sable to.
You put an address, a littlebit information.
It goes through six weeks ofyour entire listing process.
Scheduling scripts for socialmedia, email templates, everything
you need for mls.
And it's just throwing in anaddress basically more or less.
(21:29):
And if you set up yourenvironment the right way, you can
do that.
How much time does that save you?
Weeks of time.
But you set it up once andthey're able to use it in a high
value situations after that.
And in the Final week we endup showing how to take all those
assets we just built and startplugging them into different things
like custom GPTs and otheragentic type of platforms.
One of the bigger things Ithink is mindset and as Alex mentioned
(21:52):
earlier, coming at it from astrategy first perspective because
all of these things change constantly.
OpenAI with GPT5 and just whatthey did last night, they changed
everything again.
It's this stuff that I've beenin the AI wild west for the last
few years and this is how it'sbeen the entire time.
It's never been static, it'salways been evolving very quickly.
(22:13):
And if you don't know, youdon't know.
And so one of the things wereally do go through is the strategy
first mindset, understandingthe why behind you're using this
stuff and then how to futureproof yourself by looking at it from
a philosophy of you standpointand not a shiny new object in the
room feature.
Because when something goesaway, you're lost if that's what
(22:34):
you're relying on.
But if you had a methodology,a philosophy of use behind why you're
using these things, then youcan jump from one platform to 10
others and start using all ofthem in the exact same way.
And that's the beauty of it.
You don't have to be lockedinto one thing or one feature or
one process.
It's more about a mindset andthe way you look at these things.
And I think as far as thebiggest takeaway from outside of
(22:56):
the more tactical things thatare happening and the more step by
step stuff, the bigger thing,I think, at least I would hope so,
is the philosophy and mindsetthat come with it.
You look at AI is basicallyanybody who's had a teenager who's
going through that, basicallyAI 10x.
That is really what it's likewith everything new coming out and
just all the different systemsof software.
(23:17):
Question I was going to ask isI know some people might use grok,
Chat, bgt, Copilot, there's somany different systems out there
as well to use, which a lot ofthem are backed one way or the other.
Does it really matter for somebody?
Like if somebody's just aMicrosoft person that's hey, I use
Outlook and Excel Word andshould I use Copilot or is that,
(23:39):
do you push everyone, you knowmore towards ChatGPT or Grok or.
I'm just curious where a lotof stuff you, you use falls into.
Yeah.
So I'll set the stage and thenLisa and John, you guys Fill it in.
Okay.
They all have their own.
We're a believer that you haveto master like try to master one
workspace.
Yeah because if you go in andyou try to master Claude and then
(24:02):
Grok and then Copilot, what'sgoing to happen is you've.
You're not going to get theessence of what is.
You wouldn't go into Gmail andthen go to Yahoo and then go to God
forbid, Hotmail or AOL whatever.
If those are still around,you're going.
To stopping dial up.
I think the end of the month.
So no more dial up for.
Hopefully not.
I still, every now and then Isee the aol, I'm like, is that still
(24:24):
around?
Somebody emailed me from aol.
We teach like Master one andwe'll lean into Chat GPT because
of the features Memory.
By the way, new feature Claudejust came out with memory.
No other AI tool had thatuntil gosh, yesterday or this week.
Chat G was the only one thathad memory.
So Claude's now in the gamewith that.
We'll see what Gemini and allthese other tools happen release.
(24:47):
But if you can just masterone, you can then transition into
like John was saying earlier,like the philosophy of use and understanding
because they're all, by theway, they're all replicating each
other projects.
Features is now in Grok and isnow in Claude and all that from a
security perspective, we'veheard and we were at a Microsoft
training, John and I, gosh, Ithink it was probably like two months
(25:09):
ago now and with Copilot.
So Copilot's interesting whereeverything stays within the graph,
their user kind of account.
It never leaves its four walls.
So if you're crunching numbersand data that's proprietary and all
this stuff, it stays in yourgraph within your Copilot, which
is from a securityperspective, that's what they put
(25:29):
their flag in the ground.
Hey, we're the most secure AIbecause our stuff never leaves.
It never even touches ourwhatever server or LLM server.
That's what they say.
So they all have their use cases.
So we, we're big believers that.
But you still have tomaster1.700 million users on ChatGPT.
If you're in Chat GPT, chancesare the other players are actually
(25:51):
adopting the features once you.
We can we go now from Grok toClaude easily, seamlessly.
Gemini and they all have theirdifferent use cases.
And John will kind of explainwhat we mean by that when it comes
like deep research and allthese other things because they do
have their nuance.
But if you'd never masteredone, then you wouldn't even know
(26:12):
the new.
What the nuance is.
You wouldn't even.
You wouldn't even be able toidentify it, you know, so I'll go
or Lisa or John if you guyswant to add.
All I know is the baby videoson Instagram that I see of a baby
talking and stuff like that.
Whichever ones those are,those are hilarious and pretty good.
So there's so much fun you can do.
Like, I.
And I use this example all thetime with the Image Creation and
(26:33):
ChatGPT, but back wheneverybody was creating action figures,
like, I couldn't get enough of it.
I lost so much time of my lifebecause I was creating action figures
for everyone I knew.
I was like, what would they have?
Because it's fun.
But beyond that, when it comesto really what platform people should
choose, I think right nowwe're in a space where everybody
is picking their tribe.
If you go back to cell phones,we used to have Nokia, we used to
(26:55):
have Android, iPhone.
Eventually it has pretty muchwhittled down to it's very hard to
find a flip phone.
I know because we tried tofind those for our kids.
We did not want to get them a smartphone.
And it's close to impossibleto find a flip phone.
But you have people who havechosen their tribe, iPhone or Android,
and that's really where we're at.
And I think that's what we'regoing to see with the LLMs, the large
(27:16):
language models and the racethere is people are just choosing
their tribe.
We lean pretty heavy intoChatGPT, partially because that's
the one most people arefamiliar with and already interacting
with.
They do serve a little bitdifferent purposes.
And a lot of it is like, wherethey get their knowledge and where
that database is for them.
I think oftentimes that justconfuses people more when you start
(27:38):
talking about that, whenthey're like, oh, my gosh, so I don't
understand which one I should use.
So a lot of times we leanpretty heavy into just chat GPT because
you're already there.
Let's stick.
And that's what most peoplehave heard.
Everyone's more familiar with.
And again, it's like Kleenexto me.
It's brand name that everyonejust calls AI.
Yeah, yeah.
I think it's a matter of,like, where you're already at.
Where should you go?
(27:58):
Where are you at?
Where's all your information at?
All these things do have theirown nuance, but the reality of it
is it takes a lot ofexperience and daily usage of these
things to understand theirnuance, because this is what we do.
I've had the paid version ofChatGPT since day one and it came
out.
I've been involved in betareleases for programs in the last
(28:20):
three years, four years or so,before they ever even hit public.
I've used this stuff on adaily basis and they all have their
own art to them, they all havetheir own nuances.
And you don't know that untilyou spend, I would say, probably
20 to 30 hours of using it toreally understand what you need,
what you can use it for,versus, like where it's better than
(28:41):
something else is.
For example, Gemini isfantastic at deep research.
It looks at probably 5x theamount of resources than what ChatGPT
will look at.
The output is completely different.
It's much more analytical anddata driven, but it depends on what
you need.
It goes back to philosophy of use.
If I want something that ismore data driven and analytical,
(29:02):
I'm going to go to Gemini.
If I want something that'smore like a book report that has
a narrative and is written inthe way that a human would write
it, I'm going to go to ChatGPT.
So I know the differencebetween those two things because
I've ran hundreds of Deepresearch runs at this point, so I
get it.
But most people don't have thetime to do that and I don't necessarily
think that they need to.
I think one of the moreimportant things is, as Alex mentioned,
(29:26):
trying to master one is superimportant for two reasons.
One, almost all the featuresare the same, whether they have the
same name or not.
They, almost all of them,almost all those platforms, Claude,
Gemini, ChatGPT, Copilot,Perplexity, they all have some form
of deep research.
For example, most of them cangenerate images, most of them can
search the web, most of themcan write like a human, most of them
(29:47):
can be pro, like they all cando the same thing.
Models make it a little bitdifferent and how you use them make
it a little bit different.
But you gotta lock into oneand master one.
And the other reason isbecause whichever platform you start
using the most is the one thatyou're going to be building in.
It's the one you're going tobe giving your files to, it's the
one you're sharing your data with.
It's when you're sharing allyour conversations, you're building
(30:09):
out projects and has thiscontext of who you are and what you're
doing.
And what you're trying toachieve and the more that you work
inside that system, the moreit knows you and the better types
of results and more valuableresults you get out of that experience
with those systems.
And for me personally, I putalmost all my eggs are in the chat
GPT basket, while I also havea task open right now for Grok and
(30:30):
Gemini as well, that I useboth of those on a daily basis for
their own reasons because Iknow why I'm going to use them.
But it all goes back to whynot what they can do, because they
can all do almost the samethings at this point.
But it's like why are yougoing to use them?
And then really locking in on that.
I think that's where youreally get the best value for it.
As we wrap up this episode, Iwant to thank you all for coming
(30:52):
on and look forward to seeingyou next month.
People want to reach out,learn more about the product, the
course, learn more about whatyou do.
What is the best way for themto reach out to you?
I know you have the websiteand so forth, but I'll let you talk
a little bit more for bestways to reach out.
Yeah, if anybody's interestedjust in learning more, just wants
(31:14):
to get on a call, justconsultation infothestrategyninjas.com
just email us.
You can go to our website aswell and fill out a form.
Our accelerators are everymonth accelerator.the strategy ninjas.com
we have lenders, real estate title.
It's anybody goes in there in,in any like ancillary, like adjacent
(31:36):
space, they're going to getthe value of learning how to set
everything up.
So we want to call that out inthe sense that yes, we're focused
on agents and all that, but ifyou're even on an ancillary or adjacent
part of the industry andyou're interested, just let us know
because in advance we've hadpeople join our accelerator and said,
hey, can you adopt some of theweekly content to match a little
(31:58):
bit about what my use case is?
And we can definitely do thatin advance.
So if we know who's joining,we can then make those slight adjustments
and make it valuable foreverybody, even though it may not.
They may not just be a realestate agent or a lender.
Yeah, yeah.
That's why when we teachprocess over prompts, it makes a
difference because you couldshow up in pretty much any industry,
(32:19):
quite frankly, and learn theprocess and you can apply it to anything
that you're doing and it's nota copy Paste prompt that just does
one thing for one person forone reason.
If I took anything out of justeverything that we just talked about,
that last statement rightthere is probably the biggest differentiator
most influential which is theprocess over prompt.
It can take but they're notlearning anything.
(32:39):
They've got a three paragraphprompt or whatever it is.
It's you need to understandlike you said that process which
then allow you to do other things.
If I only knew.
Okay, this is the prompt.
I'm stuck in that little boxand I'm never going to grow.
But process will let you buildand build upon which is really what
to me is going to make thebiggest difference for anybody involved.
(33:01):
Chris, you are hired to oursales team.
Officially.
No, you don't want me as a salesperson.
I am an awful salesperson.
So the two things I alwaysjoke about about myself is I went
to college.
I went to.
Because I didn't have to takean English class.
And I have a sales team on my,on my staff because I could talk
like AI all day long but otheror real estate but it really depends.
(33:26):
Other times when it's in a.
This is conversational but ina sales role I hate it because it's
a different environment andit's just.
It's not me.
Plus I talk way too much to bea salesperson.
I would never get anybody offthe phone and they just hang up on
me.
So I do want to again thankyou all for coming on today and now.
(33:48):
This is awesome.
I love talking about this andfor everyone interested, definitely
make sure you check out the website.
Reach out to them and anybodywhether you're buying loans originating
in real estate.
Highly recommend.
Thanks for coming on today andI look forward to seeing you next
month.
Yeah, we'll see you later.
Thanks, Chris.
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