September 17, 2025 • 35 mins
Free AI Resources to level up: automate.shahiddurrani.com
What happens when your customer isn’t a person—but an AI agent acting on their behalf? In this eye-opening conversation, Paul Cecil (VP of Strategy) explains why the next three years will flip marketing, SEO, and product strategy on their head—and how founders can prepare right now. We also go inside the grind of taking a startup public, the leadership mindset behind rapid career growth, and practical ways teams should use AI without becoming dependent on it. If you’re building, scaling, or investing, this episode is a strategic must-listen.
Chapter Stamps:
01:46 Leadership and Strategy Insights
06:13 Going Public: Challenges and Lessons
10:49 AI Revolution in Real Estate
17:37 AI Accelerating Scientific Progress
18:17 Meditation and AI: Enhancing Deep Thinking
20:22 AI as a Thought Partner
21:13 Optimizing AI Usage in Business
24:29 Future of AI and Entrepreneurship
Pullout Quotes:
- “You have to metaphorically get naked in front of the public as a business.”
- “I have a series of different coaches for different topics that I’ll ask questions and then they actually learn from each other.”
- “It’s gonna be more about optimizing for AI agents, finding and interacting with your product…”
Social:
Website: https://www.realpha.com/
LinkedIn: https://www.linkedin.com/in/paulcecil/
Disclaimer: Please be aware that the opinions and perspectives conveyed in this podcast are solely those of our guests and do not necessarily represent the views, ideologies, or principles of Super Entrepreneurs Podcast, its associated entities, or any organizations they represent or are affiliated with. We provide a platform for discussion and exploration, and the content of each episode is understood to be independent expressions from our guests, rather than a reflection of the beliefs held by the podcast or its hosts.
Affiliate Disclaimer: If you buy through one of the links provided, I may receive a commission (without any additional charge to you).
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:00):
our AI is essentially kind of a AI realestate agent, what we're trying to reach
(00:04):
is so that a home buyer can go through theentire process with this one concierge ai
(00:28):
Welcome to Super Entrepreneurs Podcast.
Today we have with us Paul Cecil.
He's the VP of Strategy at Alfa, theworld's first commission free AI home
buying platform that's redefiningour people invest in real estate.
He's been a key player in raising capital,closing acquisitions and shaping the
(00:49):
vision of a tech driven real estatecompany that's pushing the envelope with.
Ai.
I love ai.
Welcome to our show, Paul.
Thank you.
No, it's Oh, thank you.
Thank you.
No, no.
It's great to have you, my friend.
I know I, it's 11:11 AM rightnow, but I gave you 11 minutes of
(01:13):
waiting around trying to fix thetechnology issue that we had, but
I'm grateful now that we can talk.
Yeah.
So,
happens that way, right?
Yeah, it always does.
It always does.
So, no, but as good it comes backup fairly quickly, so we're good.
So your, your story so far, youhave been at, at PHA since 2021,
(01:37):
basically one of the early.
People involved in that startup.
Now you're VP of strategythat's an incredible climb.
What, what are the biggest thingsyou have learned about leadership and
strategy during that, that journey?
Yeah, there's a, there's a lotthere definitely to, to unpack.
(01:59):
You know, as far as the climb goes,kind of from because I started, I
started as a financial analyst, right?
And for those have been, that have been,following real alpha for quite a while.
We had, back when I joined,we had a completely different
business model and we had it wasa completely different situation.
I mean, it was a startup.
I was, I was employee number 10, and
(02:20):
Yeah.
as a, as a financial analyst.
And so, you know, over time.
As we, as we experiencedmore and more, right?
I learned more and more about leadershipand, you know, even like getting
into the topic of power a little bit.
A certain point in, in your career,especially if you're young and trying to,
(02:41):
trying to rise in the ranks much faster.
A, it's easier to do in a, in asmaller company, right, because
you have more visibility, moreresponsibility, things like that.
But b. You sort of have to go inin a transitional period of where
leadership no longer becomes aboutdoing what you're told to be doing,
(03:03):
whereas it's a transition to, hey.
I can, I could run this and proactivelygoing and saying, I can run this.
I can, you know, I can takeover this responsibility, this
division, this you know, thisidea I have, let me run with it.
Right?
So at some point, kind ofthat powered responsibility is
taken rather than given to you.
(03:25):
And so that, that's kind of like the, oneof the biggest things I learned as far as.
Rising the ranks in, in a startupor, or even a, a public company.
But leadership, I, I love that topic.
I'm a big follower of kind ofJocko Willink and I study a lot
of, you know, military leadershipprinciples and things of that nature.
(03:48):
So, you know, I, I like the four,the four simple rules that he puts
together, which is cover and move.
Right.
You know, covering for yourteammates, allowing them to move up
helping other people get wins, andthen having the same done for you.
B you know, taking extreme ownershipover, over results and over outcomes
(04:10):
Mm-hmm.
and, you know, really likeresponsibility over all things, right?
And c, you know, keeping it simple.
And I'm, I'm blanking on thelast one at the moment, but you
know, military leadership is abig one for me that I've learned.
Hmm.
So it sounds like a, a bigcomponent of that is mindset.
(04:32):
Do you feel that there'sthis your own ability.
How you were seeing things, yourperspective of what was happening
had a lot to do with it as well.
I would, I would say so.
I, I think,
I.
I think the biggestdifferentiator nowadays for.
(04:52):
For a lot of people is kind of your,call it your locus of control, right?
I'm, I'm sure you're familiarkind of with that, terminology.
A lot of people nowadays Ifeel, have more of an external
locus of control, so they are.
Giving responsibility of their,their lives and their position.
(05:12):
They're, they're basicallyoutsourcing it to, to others, right?
Like, what's the, you know, wheream I, what's the government doing?
What's
Yeah,
happening
everyone else is responsible.
Mm-hmm.
Exactly.
Everyone else is responsible versusan internal locus is, Hey, I'm,
I'm responsible for everything.
All the
Yes,
you know, how I react tosomebody yelling at me on the
(05:33):
I.
of New York.
Right?
Like,
Yeah,
you know,
yeah, yeah.
And
Everything.
gives you a
I love that.
Yeah.
No, I love that.
I love that.
Paul, we are responsible for everything.
I love that quote because in reality.
We could spend our lifejust pointing a finger where
everyone else did wrong to us.
(05:54):
But if we take ownership and work onourself and become more self-aware,
deeper self-awareness of what'shappening, and it's, it is really
cool how we can make changes.
And I found even the situation,circumstances start shifting
to match that energy.
It's great to talk toyou about this stuff.
So, going from startup to a publiccompany, you had a lot to do with this.
(06:20):
What caught you off guard doingduring the the process and what
lessons from that whole journey doyou wish you had known going in?
It's a very, very arduous process.
Yeah,
you know, for those that haven't
I can imagine.
is, it is grueling and we were, you know,we were a very small team at the time,
(06:40):
so it was essentially kind of the four orfive of us driving most of the process.
And I think all in all, it took us.
We started the foundation kind ofin February of 2023, and then it
took us all the way till October,2023 to actually go public.
Right.
And through that there is a. Seriesof back and forth that you do as a
(07:07):
company with the Securities ExchangeCommission and I, I like the, the easiest
analogy is you have to get, you have tometaphorically get naked in front of the
public as a business because you have to
Yeah.
It's so true.
Yeah.
down to,
Transparency.
to even like founder lawsuit, right?
(07:27):
If, if anybody's
Yeah.
any lawsuits, your, your comp,your stock structure, your
every little detail about your
Everything.
your,
Yeah.
yeah.
So there's,
I.
hiding behind.
Anything anymore.
And, and the market willpick up on those things.
And even the things that you think you'rethat are a little bit more subtle, they
(07:48):
will pick up on it and, you know, yourstock price will, will reflect that.
And so, you know, people shouldreally understand what they're
getting into before attemptingsomething like that because you know,
the SEC kind of comes back with.
All of these rounds of, of comment lettersmaking you, you know, disclose more.
And it's essentially a full-timejob kind of managing And so we got,
(08:13):
you know, I think five letters, fivecomment letters, and 92 comments.
And these are not, you know,these are not small comments.
They're like business modelchanging kind of you know,
Wow.
and things like that that they'll,
So you would,
that they'll
You would have to make changesto the foundation of your startup
as well, based on those comments.
(08:34):
Sometimes, I mean, especially for
Oh wow.
that's like, because.
Our,
I.
know, our business model at the timewas we were you know, we were buying up
properties and essentially splitting them,fractionalizing them for other investors.
And so because that involvessecurities, they're asking questions
like, Hey, what's the regulation youare using to offer these securities?
(08:55):
And because we were, we had one idea fora way we could raise, raised this money
through what was called regulation cf.
You actually can't do that as apublic company anymore, right?
So it's like, hey, that, that'sno longer an option anymore.
And so a lot changes, especiallyfrom a regulatory perspective.
And then, you know, now we deal withthings like brokerage mortgage title
(09:16):
licenses and, and stuff like that.
So also all has to be disclosed.
So.
this, this might be a little bit off topicquestion that came to mind, maybe that
was happening in the past, regulationsweren't as strong as they are today.
But companies in the past thatdefrauded people and they created
public companies, took money frompeople, how did they get away with
(09:39):
it then with such strict guidelines?
It's definitely gotten stricter over time.
Name, I mean, the, the
Okay.
everybody can name is Enron, of course.
And, and
Yeah.
they kind of came outwith SOX compliance and
yeah.
stricter accounting regulations.
But.
there's, there's still stuff that can,that can go through the cracks and you
(10:00):
know, you, you know, they don't, theydon't control you fully, but you do
have to kind of disclose everything.
And, and people unfortunatelydo try and hide things and, you
know, later it comes to bite them.
So these, these things
Yeah.
So,
long as stuff is disclosed, then
mm-hmm.
get in, you know, you can't get introuble for most things as long as it's
(10:23):
Y Yeah.
Being honest.
Yeah.
Yeah.
Being honest and transparent.
Right.
And, you know, maybe that negative withEnron was a, is a positive in a way that
they created such strict procedures tomake sure that doesn't happen again.
Yeah.
Yeah.
I mean, it,
Yeah.
positive, it's, it's more
Mm-hmm.
companies to go and stay public, but it
(10:45):
Mm-hmm.
a good thing for thegeneral public I think.
Yeah.
Yeah.
So, you were already buildingAI for property ranking before
chat chippie hit the scene.
You had to rebuild everything after.
That's what I, I saw.
And what actually changed foryour team when you had to do that?
Did you see the biggest productivity jumpor, or new heights because of that pivot?
(11:09):
So there was, yeah, there's acouple things going on there.
Right.
Our, our original model, likeI said, was using AI to kind
of rank properties and, and now
Yeah.
You know, our AI is essentially kindof a, a AI real estate agent with.
We're, what we're trying to reach isso that a home buyer can go through the
entire process with this one concierge ai
(11:31):
That's sick.
yet, right?
It doesn't exist to
Yeah.
and do brokerage, mortgageand title in one spot.
So that's,
Yeah.
want to head.
That's nice.
Yeah.
was like a property ranking systemand obviously on a little bit
less sophisticated technologythan, you know, than Chacha, bt.
It was, it was kind of interesting becausewhen, when Chatt launched, right, the,
(11:54):
the 3.51 that everybody was obsessed with,
Yeah.
our, our CEO came in that day and,you know, half the people were gone
because of Christmas break, whatever.
And you know, he comes in, he islike, listen, guys, drop, literally
forget everything, you know,because everything has changed now.
And he said just anything, anything youthought you knew, you don't know anymore.
(12:17):
We have to reset our thinking, right?
Because this is gonna be so powerful that
Mm-hmm.
everything, every industry, et cetera.
Everything.
you know, we basically started from groundzero as far as personal productivity on
Yeah.
that it came out.
Yeah.
Hmm.
And you're pretty vocal aboutusing o open AI and chat tutee.
(12:38):
When you are actually reevaluatingthese new tools, what are
you actually looking for?
How do you know if something'sgoing to be worth the investment?
For me personally I, I have just been.
For lack of a better term, I abuse them.
So I will, I will plug every usecase that I can possibly think of
(13:01):
from a personal perspective into chatBT or others just to see how they
Mm-hmm.
And you know, like one of,one of the things I've been.
around with lately is creatinga personal board of directors.
So I have a series of differentcoaches for different topics that
I'll ask questions and then theyactually learn from each other.
(13:22):
And they talk to me in differentways based on, you know, different,
different people or different
It's so incredible, man.
And then so, you know, that that's one ofthe things that I've been doing lately.
But, you know, I really just kindof abuse it for personal purposes.
And then whichever one works the best, Ikind of you know, put our team on as well.
And, you know, we use, we use,we use OpenAI, we use Claude a
(13:46):
couple other ones, but I think,
Yeah.
has been the strongest for us.
Especially with now with chat GTfive is, it has a lot more reasoning
capabilities and it's just, it's just soincredible to see where this is going.
You know, like you also mentionedthat AI made you 50 times
(14:08):
more efficient and I agree.
Same here.
You know, it's, it is bold to saythat, but it really is the fact.
You know, when we work with people,we say for businesses, basically we
say, we will try to, we'll actuallyget you up to 90% free from your
daily hustle using AI because it is.
(14:29):
Possible it will happen in one day.
Will it happen in an hour?
No.
Right.
But each area of the business can bereplicated now with this intelligence
and this only getting better.
And when it gets to a point where it getsto, you know, super intelligence a lot
of people are scared as well, so a lotof people have this fear generally fears
(14:50):
that, that vibe that is very common.
In, in humanity.
But we can either pick and choose,
We can either be neutral orwe can say, oh, I'm so scared
it's gonna take over the world.
Because if you really thinkabout it, super intelligence, it
means that it'll be, thinking.
. It'll be seeing itself assomething and then it might
(15:11):
see humans as something lower.
And just like with humans, overthe thousands of years of how
Eagle was developed, it was byseeing ourselves in the mirror.
You know, we started seeing ourcultures, races, all that kind of stuff.
We started feeling better than othersand developed the ego started getting
stronger and stronger and stronger.
And where we are right now in thewhole world is very strong and is grip.
(15:35):
Same way, if AI super intelligence getsto that point, it could develop a its
own type of ego and could do something.
So there's fears, but thenthere's potential in that too.
Because, you know, if you're ridingthis wave and you learn how to use
this, you can free up your time.
You could come up with innovations, youcan come up with creations, you can.
(15:57):
You can amplify your life in ways thatyou could never have imagined before.
It requires a strong mindset, of course,but if you, you, you actually ride this,
you could take it to some levels that itcould help humanity, but I think it's,
there's different ways to look at it.
I would love to hear your view on that.
Yeah, I'm, I'm very optimistic overall.
(16:20):
Right.
Me too.
you know, we, we talkedabout this earlier, right?
I'm,
Yeah.
to kind of take controlof what I can, right?
So it's, it comes down to, itcomes down to game theory, right?
If, if we don't, as acountry, call it, right?
If we don't embrace ai.
Somebody else will, right?
Like China, Russia, anybody,
Mm-hmm.
(16:40):
it and they'll get it to thepoint of super intelligence before
we will, and then somebody else
Yeah.
right?
So,
Mm-hmm.
you know, at a geopolitics, geopoliticslevel, I guess you know, somebody
is gonna be in control of it.
So it, it might as well be us and wemight as well create that that reality.
And I think on a more, youknow, micro level call it.
(17:04):
I really like the CEO of perplexity,his, his viewpoint on it.
Whereas it's gonna help us ask questionswe don't get no to ask, all right?
Because, you know,
yes.
these 90% increases in, ordecreases in time spent on other
things, and we can automate allthese, all these small things.
(17:24):
It leaves so much more time forjust deep thinking on how to solve.
Problems and, you know,and questions to ask.
Even just, you know,
Yeah.
of like science as the next frontierfor this because science has become
very stagnated due to due to politicsand due to, you know, the whole
(17:46):
nature of getting published and thefunding and all that stuff, right?
So.
AI is gonna be able to speed up thatscientific process a little bit more
and, you know, help the scientistschallenge and ask additional questions,
which is what is kind of built on,I think is, is questioning and then
testing and then moving forward.
(18:07):
So I
Yeah, that's so true.
get results faster, and solvea lot of the world's problems.
Yeah, so true.
Because, you know, another way to lookat it about deep thinking is the fact
that, people, for example, for in myworld, I'm just speaking about me.
I, I meditate, I, I'm present.
(18:29):
You know, I, I spend a lot of timein that stillness experiencing.
The life, right.
Experiencing everythingthat's coming in each moment.
I just live by it, you know?
And I just look at it with a, a detachmentkind of view, if that makes sense.
And that allows me, AIallows me to do that more.
And then what happens is thatcreativity starts coming out,
(18:52):
that the idea start coming out.
I feel that deep thinking iswhat is going to create the new.
Evolution of humanity, meaning thatpeople are gonna be a, a, a different
level of consciousness because of ai.
So I feel like AI gave to us atthe perfect time when chaos is at
(19:15):
the rise is say, Hey, I'm here.
You know, why don't you calmyour mind and see things for
how they really are, you know?
I love that.
Yeah.
Kind of getting into more of the,you know, getting into more of
the present moment and allow,
Yeah,
there's a lot of, you know,everybody's distracted.
Everybody's off in Lala
yeah
yeah,
(19:36):
of course,
yeah, yeah.
And mindset.
You know, people, one of the biggestfeedback you get from people is that when
you give them homework, I say, well, howam I gonna do this one hour of studying
today when I got this many things to do?
But.
The beautiful thing is a paradoxbecause the more you spend time on your
internal world, that chaos decreases,so it's like, it's like a mirror effect.
(19:58):
But now, without having to explain thatand kind to convince of pe things to
people, you could say, Hey, listen.
What's taking up your most,most time in your life?
Oh, my contact raise.
Okay, let's convert that into ai.
Right.
To save that time.
And now you have more time to be, youknow, present and work on your internal
world, because the internal world is themirror of what you can achieve in life.
(20:19):
So why not spend timethere so it's a blessing.
I feel like it's, it's very special,you know, ai, so, you, you talk about
AI enhancing thinking as well, this iswhat we're talking about here is that
enhancement, that deep thinking ratherthan, you know, kind of replacing it.
Because there's people thatmight be using it to replace it
(20:40):
rather than have it as a thought.
Our, a partner, thought partner,
like having this, this, a series ofintelligence staff members that are just
out there to help you grow or help youdo better or whatever the case may be.
Right?
Maybe, maybe be even be healthier.
How do you actuallyteach that to your team?
(21:01):
What does good AI usage look likeversus just becoming dependent on it?
Interesting.
Very good question.
Thank.
so there's, a couple, there's a coupleof things that people can do right now
(21:21):
to make their u their AI productivity,you know, skyrocket, basically.
One is can create ground rules, so.
Especially, you know, people get,people get very lazy with, call it
the, the formatting of things whenAI just kind of does it for you.
Right.
Formatting and the way, theway information is presented.
(21:44):
Right, because.
You're not, you're notpresenting it to another ai.
Typically, you're presentingsomething to another human that
you've taken from ai, right?
Call it a research
Mm. Mm-hmm.
if you put in as a company, right, someground rules about how the AI should talk
to you and present information like, Hey,don't use M dashes, don't use emojis.
(22:06):
Talk in a professional tone.
That sort of thing.
Yes.
save you,
yeah,
know, that'll save you a lot ofheadache cleaning up later on.
yeah,
always talk like that.
and you have to
yeah.
tell it to commit to memory.
Right.
But if we're, you know, and thenthe other, the other big thing
is seems like AI can become aecho chamber very, very quickly.
(22:30):
Right.
Especially tutee.
Some of the other ones, like like GRwill be a little bit more honest with
you most of the time, but Chate can be abit of an echo chamber sometimes because
it'll tell you what you want to hear.
So.
Yeah.
looking for actual feedback on stuff,you have to say things like, be brutally
honest or you know, compare it versusthis thing, or compare it versus our
(22:52):
old state, or et cetera, et cetera.
Right?
You have to get creative with theprompting, but you know, it's gonna
give you more of what you ask for.
So if you are looking for validation, it'sgonna end up giving you validation, right?
Which is not
Yeah.
thing.
No, no.
(23:12):
It is just telling youwhat you want to hear.
Right.
So that might cause problems.
Definitely, it definitelycauses problems, right?
Which is
Yeah.
spaced early on.
I, I told the team, Hey, you know, we needto start doing everything on ai, right?
But then they were doingeverything on ai, but.
Not prompting it correctly.
(23:33):
So we were getting, you know,
Yeah,
kind of garbage in, garbage out.
And
yeah.
Yeah.
know, they've fixed
Improved.
and
Yeah.
it's fantastic now.
Fantastic work.
Because if you, if you promptengineer it, if you kind of train it
properly, it does a really good job.
But you can't just take it out of the box.
(23:53):
You kind of mold it towhat you want to do.
That's wonderful.
So once you put in the prompts,engineered prompts, then it started
thinking or reasoning differently tomatch what you were expecting it to do.
Correct.
Exactly.
Yeah.
And the
Yeah, yeah,
more data, the more context, the more callit storyline you can give it, the better.
(24:16):
Right?
It can handle that
yeah,
but it
yeah, yeah.
handle it before, right?
Three, five could
Mm-hmm.
all of that,
No.
like, now it could justtake whole PDS, cetera.
Yeah.
I love it, man.
It's amazing.
So, you know, going back to the, the wildpossibilities, that we, you mentioned as
well, and I'm also, and very similar towhat your thought patterns are towards
(24:41):
AI so far from what I'm, I'm hearing now.
The possibilities of ai, superintelligence or humanoid robots and,
you know, universal basic income.
All of these are fantastic thingsthat are coming, but which of these
(25:01):
do you think will actually see gomainstream and how could entrepreneurs
prepare, prepare for such a big shift?
So for, I'll, I'll give my, mybiggest piece of advice for,
for entrepreneurs planning theirstrategy for the next three years.
I think the next, so in case anybodydidn't see CHATT slash OpenAI, they
(25:26):
had a leaked strategy document.
And so I, I read through that.
Most of it is redacted, but youcan kind of get the gist of what
they're saying in there, right?
they are headed in the next, call it twoto three years, they're, they're phase
one is they want to become the superintelligent agent for your life, So.
(25:49):
They want to have it.
So that strategy, PT is themain thing that you send out
to do things for you, right?
Right now it's very back and forth,but it'll get to the point where you're
sending it out to do things for you.
Like, Hey, go make me a meal plan,me back the grocery list, and
then order it on Instacart for meso I don't have to do any of it.
(26:10):
Or you know, give me.
Go do the research for my, my healthin this specific condition, bring
me back an exercise plan that Ican use and then, you know, help me
sign up for a gym membership, right?
Find me the best gym, et cetera,and it'll go out and reach, reach
out to different gyms, et cetera.
So, you know, pretty soon that's gonnabecome the new reality, especially
(26:34):
as OpenAI gets more integrated withthe Apple ecosystem, which is the
majority of phones in the us and.
it's gonna become, instead of marketingand doing SEO for and and products, even
for people, it's gonna be who can cater tothe AI agents the best than actual people.
(26:58):
That's my bold bet for the next fewyears is like, you know, I think,
I think it's gonna be more aboutoptimizing for AI agents, finding and
interacting with your product rather than
Can you give an example of that?
Just to, to dumb it down, you know?
Sure.
So right now you can haveGoogle and make reservations
(27:25):
for you at a restaurant, right?
So.
You can say, Hey, you know, I want,I'm looking for a reservation during
this time, and Google will actuallycall and, you know, find you a time
for a reservation on at a restaurant.
Right.
This is really big in New York wherereservations are a little bit harder to
no, I meant,
(27:45):
and,
sorry, Paul.
Just to, just to correct just tomake sure we're on the same page.
So the actual functionality completelyunderstood, that it'll be able
to do a lot of the things that wecould do on a browser, for example.
But you mentioned that the futureentrepreneurs of the people that have
businesses or products and services.
They should be looking at waysto figure out ways to communicate
(28:09):
with the agents for the future.
So can you give an example of that partfor, let's just pick up a, a company that
sells, I don't know, shorts, whatever,
before, right.
If you were a, if you were a shortcompany, let's call it you, you're selling
bathing suits for men or something,
Yeah.
Mm-hmm.
your marketing strategy.
(28:29):
SEO strategy will be focusedaround finding keywords.
And
yeah.
two, two aspects of it, right?
Marketing, you're trying to find youraudience of people that are, say,
looking to go to the ocean soon, orthey're, they're traveling the ocean
and they're searching for thingslike, you know, bathing suits for men
that don't, they don't get dyed bythe ocean water or something, right?
(28:53):
they're searching for that physically.
And from an SEO perspective, you'retrying to get keywords like bathing
suits and best bathing suits for men
Yeah.
Mm-hmm.
Mm-hmm.
So it's, it's shifting slightly becausenow, right, somebody, instead of actually
physically doing that themselves, they'regonna say to their AI agent, Hey, go
(29:15):
out and find me the best bathing suits.
So it's gonna be aboutfiguring out what the.
AI agent is, is looking for in thosethings and how it's analyzing it and
bringing it back to people ratherthan the people actually finding
it themselves, if that makes sense.
So, but it's still doing the keywordsresearch, it's still doing, blogs
(29:39):
the agent will write the blogs,it'll do all that stuff for it
Mm-hmm.
drive people back to the website.
But instead of you commanding or tryingto do it, it will just do it for you.
That's what you mean, is that the.
Yeah, there's, there's little, there'slittle subtle differences such as
eventually people will just givetheir, you know, they'll just give
their AI a budget you know, their AIwill go and buy it for them, right?
(30:04):
Hey, buy me the best, whatever, the best
Yeah,
which means.
yeah,
The actual design of websites won'tmatter as much and the, the, the
human aspects of it, like how does thepsychology of the website make you feel?
Because
yeah.
will analyze it in 0.001
do it.
care.
They're just
Yeah.
Yeah.
they're looking for harddata and stats, right?
(30:24):
Which is where, you know, yourstuff like SEO and new term
would be GEO generative engine
Yeah, yeah,
much more important than thehuman psychology aspect of it.
yeah.
The MA machine aspect has to betaken care of, more importantly.
Exactly right.
(30:45):
And we've,
This is awesome.
kind of happen on, an investorrelations perspective as a public
Yeah.
Because
Yeah, yeah.
plus of all the trading in thestock market is done by algorithms.
So it's like, Hey, you're no longerwriting press releases for press
releases and materials for humans.
You're writing them nowfor bots, basically.
(31:06):
So it's like.
Wow.
How do you reconstruct your messageto cater towards the bots and the
agents that are trading ratherthan, you know, actual people?
Wow, this, this is probably the mostpowerful point in this whole episode.
So hopefully people in the audience arefellow entrepreneurs and business people
are picking up on this information.
(31:28):
I'm very grateful.
That you came on our show today, Paul.
It was, it was fun talking toyou about all this stuff because
this is my life right now.
I completely went fromenthusiast to deep into it.
And the more, the more you studyit, the more you look at it
the more like, just completely.
(31:50):
Co it will completely change the dynamicsof how we live today in, in so many ways.
You know, like once the robot isconnected to the ai literally, you
know, they're trying to figure outhow to make a, a autonomous cars maybe
you don't even need to do that, right?
Maybe the robot just goes in the car and,and drives it to wherever you need to go.
(32:12):
Maybe the robot is the most important,so go have a meeting for me, have
a meeting for, you're on yourphone and the robot is sitting with
another robot having a meeting.
You can see the other robot, but you'reactually talking, you're talking to
Mike, making a deal with the two robot.
Robot,
with
yeah.
So, yeah.
Oh, it was, but it did work out
(32:34):
it did not work well.
as much.
they did the
When VR
yeah.
the whole metaverserebrand and everything.
That didn't really
Yeah.
Yeah.
It didn't catch on.
No, I think there's new players comingthat are, are changing their dy dynamics.
The big boys you know, thatare out there, they're trying.
But I think with machines, thelittle guys have a chance, you
(32:57):
know, the little guys can createsomething valuable for humanity.
And, and I don't think anybodyshould fear the big boys anymore.
With machine, you'reable to do a lot now, so.
There are absolutely zero.
Barriers to entry from a baselineknowledge perspective, right?
(33:17):
You can get to 80% of theknowledge on any topic within a
very short amount of time with
Yeah, like imagine like everyhuman being literally is going
to be super intelligence.
Why?
Because you know, and especiallythe people that are, that pride
themselves on their intelligence,you know, they and I respect it
because they went through a lot.
They studied a lot.
(33:38):
That's great.
Obviously, but it, it could beintimidating because now everybody's
going to have it because if they havethe glasses, the glass is gonna be
reading their, even their body motion.
Like they could never study that.
Right.
So it could tell them what they're,you know, how are they vibing?
You know, they're vibe like,are they excited right now?
Do you think potentiallyyou're gonna close the deal?
(34:00):
Are they gonna walk away?
Or they're, they're scared.
What is the reason?
Or it could even find out.
Predetermine what they're about.
Like, oh, it just, it, it blows my mind.
it would be very interesting to seeas well, what happens with dating.
That's the
Yeah.
one that I'm very excitedto see what happens,
Oh yeah.
(34:21):
But,
Yeah.
Oh my God.
Oh man.
You, , it's fun.
It's exciting, but it'shappening right now.
We're in that reality.
Let's take advantage of it and grow withit again, Paul, let's stay in touch,
you know, and, and see if anything else.
If you're launching anything, definitelyyou, you're welcome to come back.
Appreciate that.
Appreciate you having me on
our AI is essentially kind of a AI realestate agent, what we're trying to reach
(00:04):
is so that a home buyer can go through theentire process with this one concierge ai
(00:28):
Welcome to Super Entrepreneurs Podcast.
Today we have with us Paul Cecil.
He's the VP of Strategy at Alfa, theworld's first commission free AI home
buying platform that's redefiningour people invest in real estate.
He's been a key player in raising capital,closing acquisitions and shaping the
(00:49):
vision of a tech driven real estatecompany that's pushing the envelope with.
Ai.
I love ai.
Welcome to our show, Paul.
Thank you.
No, it's Oh, thank you.
Thank you.
No, no.
It's great to have you, my friend.
I know I, it's 11:11 AM rightnow, but I gave you 11 minutes of
(01:13):
waiting around trying to fix thetechnology issue that we had, but
I'm grateful now that we can talk.
Yeah.
So,
happens that way, right?
Yeah, it always does.
It always does.
So, no, but as good it comes backup fairly quickly, so we're good.
So your, your story so far, youhave been at, at PHA since 2021,
(01:37):
basically one of the early.
People involved in that startup.
Now you're VP of strategythat's an incredible climb.
What, what are the biggest thingsyou have learned about leadership and
strategy during that, that journey?
Yeah, there's a, there's a lotthere definitely to, to unpack.
(01:59):
You know, as far as the climb goes,kind of from because I started, I
started as a financial analyst, right?
And for those have been, that have been,following real alpha for quite a while.
We had, back when I joined,we had a completely different
business model and we had it wasa completely different situation.
I mean, it was a startup.
I was, I was employee number 10, and
(02:20):
Yeah.
as a, as a financial analyst.
And so, you know, over time.
As we, as we experiencedmore and more, right?
I learned more and more about leadershipand, you know, even like getting
into the topic of power a little bit.
A certain point in, in your career,especially if you're young and trying to,
(02:41):
trying to rise in the ranks much faster.
A, it's easier to do in a, in asmaller company, right, because
you have more visibility, moreresponsibility, things like that.
But b. You sort of have to go inin a transitional period of where
leadership no longer becomes aboutdoing what you're told to be doing,
(03:03):
whereas it's a transition to, hey.
I can, I could run this and proactivelygoing and saying, I can run this.
I can, you know, I can takeover this responsibility, this
division, this you know, thisidea I have, let me run with it.
Right?
So at some point, kind ofthat powered responsibility is
taken rather than given to you.
(03:25):
And so that, that's kind of like the, oneof the biggest things I learned as far as.
Rising the ranks in, in a startupor, or even a, a public company.
But leadership, I, I love that topic.
I'm a big follower of kind ofJocko Willink and I study a lot
of, you know, military leadershipprinciples and things of that nature.
(03:48):
So, you know, I, I like the four,the four simple rules that he puts
together, which is cover and move.
Right.
You know, covering for yourteammates, allowing them to move up
helping other people get wins, andthen having the same done for you.
B you know, taking extreme ownershipover, over results and over outcomes
(04:10):
Mm-hmm.
and, you know, really likeresponsibility over all things, right?
And c, you know, keeping it simple.
And I'm, I'm blanking on thelast one at the moment, but you
know, military leadership is abig one for me that I've learned.
Hmm.
So it sounds like a, a bigcomponent of that is mindset.
(04:32):
Do you feel that there'sthis your own ability.
How you were seeing things, yourperspective of what was happening
had a lot to do with it as well.
I would, I would say so.
I, I think,
I.
I think the biggestdifferentiator nowadays for.
(04:52):
For a lot of people is kind of your,call it your locus of control, right?
I'm, I'm sure you're familiarkind of with that, terminology.
A lot of people nowadays Ifeel, have more of an external
locus of control, so they are.
Giving responsibility of their,their lives and their position.
(05:12):
They're, they're basicallyoutsourcing it to, to others, right?
Like, what's the, you know, wheream I, what's the government doing?
What's
Yeah,
happening
everyone else is responsible.
Mm-hmm.
Exactly.
Everyone else is responsible versusan internal locus is, Hey, I'm,
I'm responsible for everything.
All the
Yes,
you know, how I react tosomebody yelling at me on the
(05:33):
I.
of New York.
Right?
Like,
Yeah,
you know,
yeah, yeah.
And
Everything.
gives you a
I love that.
Yeah.
No, I love that.
I love that.
Paul, we are responsible for everything.
I love that quote because in reality.
We could spend our lifejust pointing a finger where
everyone else did wrong to us.
(05:54):
But if we take ownership and work onourself and become more self-aware,
deeper self-awareness of what'shappening, and it's, it is really
cool how we can make changes.
And I found even the situation,circumstances start shifting
to match that energy.
It's great to talk toyou about this stuff.
So, going from startup to a publiccompany, you had a lot to do with this.
(06:20):
What caught you off guard doingduring the the process and what
lessons from that whole journey doyou wish you had known going in?
It's a very, very arduous process.
Yeah,
you know, for those that haven't
I can imagine.
is, it is grueling and we were, you know,we were a very small team at the time,
(06:40):
so it was essentially kind of the four orfive of us driving most of the process.
And I think all in all, it took us.
We started the foundation kind ofin February of 2023, and then it
took us all the way till October,2023 to actually go public.
Right.
And through that there is a. Seriesof back and forth that you do as a
(07:07):
company with the Securities ExchangeCommission and I, I like the, the easiest
analogy is you have to get, you have tometaphorically get naked in front of the
public as a business because you have to
Yeah.
It's so true.
Yeah.
down to,
Transparency.
to even like founder lawsuit, right?
(07:27):
If, if anybody's
Yeah.
any lawsuits, your, your comp,your stock structure, your
every little detail about your
Everything.
your,
Yeah.
yeah.
So there's,
I.
hiding behind.
Anything anymore.
And, and the market willpick up on those things.
And even the things that you think you'rethat are a little bit more subtle, they
(07:48):
will pick up on it and, you know, yourstock price will, will reflect that.
And so, you know, people shouldreally understand what they're
getting into before attemptingsomething like that because you know,
the SEC kind of comes back with.
All of these rounds of, of comment lettersmaking you, you know, disclose more.
And it's essentially a full-timejob kind of managing And so we got,
(08:13):
you know, I think five letters, fivecomment letters, and 92 comments.
And these are not, you know,these are not small comments.
They're like business modelchanging kind of you know,
Wow.
and things like that that they'll,
So you would,
that they'll
You would have to make changesto the foundation of your startup
as well, based on those comments.
(08:34):
Sometimes, I mean, especially for
Oh wow.
that's like, because.
Our,
I.
know, our business model at the timewas we were you know, we were buying up
properties and essentially splitting them,fractionalizing them for other investors.
And so because that involvessecurities, they're asking questions
like, Hey, what's the regulation youare using to offer these securities?
(08:55):
And because we were, we had one idea fora way we could raise, raised this money
through what was called regulation cf.
You actually can't do that as apublic company anymore, right?
So it's like, hey, that, that'sno longer an option anymore.
And so a lot changes, especiallyfrom a regulatory perspective.
And then, you know, now we deal withthings like brokerage mortgage title
(09:16):
licenses and, and stuff like that.
So also all has to be disclosed.
So.
this, this might be a little bit off topicquestion that came to mind, maybe that
was happening in the past, regulationsweren't as strong as they are today.
But companies in the past thatdefrauded people and they created
public companies, took money frompeople, how did they get away with
(09:39):
it then with such strict guidelines?
It's definitely gotten stricter over time.
Name, I mean, the, the
Okay.
everybody can name is Enron, of course.
And, and
Yeah.
they kind of came outwith SOX compliance and
yeah.
stricter accounting regulations.
But.
there's, there's still stuff that can,that can go through the cracks and you
(10:00):
know, you, you know, they don't, theydon't control you fully, but you do
have to kind of disclose everything.
And, and people unfortunatelydo try and hide things and, you
know, later it comes to bite them.
So these, these things
Yeah.
So,
long as stuff is disclosed, then
mm-hmm.
get in, you know, you can't get introuble for most things as long as it's
(10:23):
Y Yeah.
Being honest.
Yeah.
Yeah.
Being honest and transparent.
Right.
And, you know, maybe that negative withEnron was a, is a positive in a way that
they created such strict procedures tomake sure that doesn't happen again.
Yeah.
Yeah.
I mean, it,
Yeah.
positive, it's, it's more
Mm-hmm.
companies to go and stay public, but it
(10:45):
Mm-hmm.
a good thing for thegeneral public I think.
Yeah.
Yeah.
So, you were already buildingAI for property ranking before
chat chippie hit the scene.
You had to rebuild everything after.
That's what I, I saw.
And what actually changed foryour team when you had to do that?
Did you see the biggest productivity jumpor, or new heights because of that pivot?
(11:09):
So there was, yeah, there's acouple things going on there.
Right.
Our, our original model, likeI said, was using AI to kind
of rank properties and, and now
Yeah.
You know, our AI is essentially kindof a, a AI real estate agent with.
We're, what we're trying to reach isso that a home buyer can go through the
entire process with this one concierge ai
(11:31):
That's sick.
yet, right?
It doesn't exist to
Yeah.
and do brokerage, mortgageand title in one spot.
So that's,
Yeah.
want to head.
That's nice.
Yeah.
was like a property ranking systemand obviously on a little bit
less sophisticated technologythan, you know, than Chacha, bt.
It was, it was kind of interesting becausewhen, when Chatt launched, right, the,
(11:54):
the 3.51 that everybody was obsessed with,
Yeah.
our, our CEO came in that day and,you know, half the people were gone
because of Christmas break, whatever.
And you know, he comes in, he islike, listen, guys, drop, literally
forget everything, you know,because everything has changed now.
And he said just anything, anything youthought you knew, you don't know anymore.
(12:17):
We have to reset our thinking, right?
Because this is gonna be so powerful that
Mm-hmm.
everything, every industry, et cetera.
Everything.
you know, we basically started from groundzero as far as personal productivity on
Yeah.
that it came out.
Yeah.
Hmm.
And you're pretty vocal aboutusing o open AI and chat tutee.
(12:38):
When you are actually reevaluatingthese new tools, what are
you actually looking for?
How do you know if something'sgoing to be worth the investment?
For me personally I, I have just been.
For lack of a better term, I abuse them.
So I will, I will plug every usecase that I can possibly think of
(13:01):
from a personal perspective into chatBT or others just to see how they
Mm-hmm.
And you know, like one of,one of the things I've been.
around with lately is creatinga personal board of directors.
So I have a series of differentcoaches for different topics that
I'll ask questions and then theyactually learn from each other.
(13:22):
And they talk to me in differentways based on, you know, different,
different people or different
It's so incredible, man.
And then so, you know, that that's one ofthe things that I've been doing lately.
But, you know, I really just kindof abuse it for personal purposes.
And then whichever one works the best, Ikind of you know, put our team on as well.
And, you know, we use, we use,we use OpenAI, we use Claude a
(13:46):
couple other ones, but I think,
Yeah.
has been the strongest for us.
Especially with now with chat GTfive is, it has a lot more reasoning
capabilities and it's just, it's just soincredible to see where this is going.
You know, like you also mentionedthat AI made you 50 times
(14:08):
more efficient and I agree.
Same here.
You know, it's, it is bold to saythat, but it really is the fact.
You know, when we work with people,we say for businesses, basically we
say, we will try to, we'll actuallyget you up to 90% free from your
daily hustle using AI because it is.
(14:29):
Possible it will happen in one day.
Will it happen in an hour?
No.
Right.
But each area of the business can bereplicated now with this intelligence
and this only getting better.
And when it gets to a point where it getsto, you know, super intelligence a lot
of people are scared as well, so a lotof people have this fear generally fears
(14:50):
that, that vibe that is very common.
In, in humanity.
But we can either pick and choose,
We can either be neutral orwe can say, oh, I'm so scared
it's gonna take over the world.
Because if you really thinkabout it, super intelligence, it
means that it'll be, thinking.
. It'll be seeing itself assomething and then it might
(15:11):
see humans as something lower.
And just like with humans, overthe thousands of years of how
Eagle was developed, it was byseeing ourselves in the mirror.
You know, we started seeing ourcultures, races, all that kind of stuff.
We started feeling better than othersand developed the ego started getting
stronger and stronger and stronger.
And where we are right now in thewhole world is very strong and is grip.
(15:35):
Same way, if AI super intelligence getsto that point, it could develop a its
own type of ego and could do something.
So there's fears, but thenthere's potential in that too.
Because, you know, if you're ridingthis wave and you learn how to use
this, you can free up your time.
You could come up with innovations, youcan come up with creations, you can.
(15:57):
You can amplify your life in ways thatyou could never have imagined before.
It requires a strong mindset, of course,but if you, you, you actually ride this,
you could take it to some levels that itcould help humanity, but I think it's,
there's different ways to look at it.
I would love to hear your view on that.
Yeah, I'm, I'm very optimistic overall.
(16:20):
Right.
Me too.
you know, we, we talkedabout this earlier, right?
I'm,
Yeah.
to kind of take controlof what I can, right?
So it's, it comes down to, itcomes down to game theory, right?
If, if we don't, as acountry, call it, right?
If we don't embrace ai.
Somebody else will, right?
Like China, Russia, anybody,
Mm-hmm.
(16:40):
it and they'll get it to thepoint of super intelligence before
we will, and then somebody else
Yeah.
right?
So,
Mm-hmm.
you know, at a geopolitics, geopoliticslevel, I guess you know, somebody
is gonna be in control of it.
So it, it might as well be us and wemight as well create that that reality.
And I think on a more, youknow, micro level call it.
(17:04):
I really like the CEO of perplexity,his, his viewpoint on it.
Whereas it's gonna help us ask questionswe don't get no to ask, all right?
Because, you know,
yes.
these 90% increases in, ordecreases in time spent on other
things, and we can automate allthese, all these small things.
(17:24):
It leaves so much more time forjust deep thinking on how to solve.
Problems and, you know,and questions to ask.
Even just, you know,
Yeah.
of like science as the next frontierfor this because science has become
very stagnated due to due to politicsand due to, you know, the whole
(17:46):
nature of getting published and thefunding and all that stuff, right?
So.
AI is gonna be able to speed up thatscientific process a little bit more
and, you know, help the scientistschallenge and ask additional questions,
which is what is kind of built on,I think is, is questioning and then
testing and then moving forward.
(18:07):
So I
Yeah, that's so true.
get results faster, and solvea lot of the world's problems.
Yeah, so true.
Because, you know, another way to lookat it about deep thinking is the fact
that, people, for example, for in myworld, I'm just speaking about me.
I, I meditate, I, I'm present.
(18:29):
You know, I, I spend a lot of timein that stillness experiencing.
The life, right.
Experiencing everythingthat's coming in each moment.
I just live by it, you know?
And I just look at it with a, a detachmentkind of view, if that makes sense.
And that allows me, AIallows me to do that more.
And then what happens is thatcreativity starts coming out,
(18:52):
that the idea start coming out.
I feel that deep thinking iswhat is going to create the new.
Evolution of humanity, meaning thatpeople are gonna be a, a, a different
level of consciousness because of ai.
So I feel like AI gave to us atthe perfect time when chaos is at
(19:15):
the rise is say, Hey, I'm here.
You know, why don't you calmyour mind and see things for
how they really are, you know?
I love that.
Yeah.
Kind of getting into more of the,you know, getting into more of
the present moment and allow,
Yeah,
there's a lot of, you know,everybody's distracted.
Everybody's off in Lala
yeah
yeah,
(19:36):
of course,
yeah, yeah.
And mindset.
You know, people, one of the biggestfeedback you get from people is that when
you give them homework, I say, well, howam I gonna do this one hour of studying
today when I got this many things to do?
But.
The beautiful thing is a paradoxbecause the more you spend time on your
internal world, that chaos decreases,so it's like, it's like a mirror effect.
(19:58):
But now, without having to explain thatand kind to convince of pe things to
people, you could say, Hey, listen.
What's taking up your most,most time in your life?
Oh, my contact raise.
Okay, let's convert that into ai.
Right.
To save that time.
And now you have more time to be, youknow, present and work on your internal
world, because the internal world is themirror of what you can achieve in life.
(20:19):
So why not spend timethere so it's a blessing.
I feel like it's, it's very special,you know, ai, so, you, you talk about
AI enhancing thinking as well, this iswhat we're talking about here is that
enhancement, that deep thinking ratherthan, you know, kind of replacing it.
Because there's people thatmight be using it to replace it
(20:40):
rather than have it as a thought.
Our, a partner, thought partner,
like having this, this, a series ofintelligence staff members that are just
out there to help you grow or help youdo better or whatever the case may be.
Right?
Maybe, maybe be even be healthier.
How do you actuallyteach that to your team?
(21:01):
What does good AI usage look likeversus just becoming dependent on it?
Interesting.
Very good question.
Thank.
so there's, a couple, there's a coupleof things that people can do right now
(21:21):
to make their u their AI productivity,you know, skyrocket, basically.
One is can create ground rules, so.
Especially, you know, people get,people get very lazy with, call it
the, the formatting of things whenAI just kind of does it for you.
Right.
Formatting and the way, theway information is presented.
(21:44):
Right, because.
You're not, you're notpresenting it to another ai.
Typically, you're presentingsomething to another human that
you've taken from ai, right?
Call it a research
Mm. Mm-hmm.
if you put in as a company, right, someground rules about how the AI should talk
to you and present information like, Hey,don't use M dashes, don't use emojis.
(22:06):
Talk in a professional tone.
That sort of thing.
Yes.
save you,
yeah,
know, that'll save you a lot ofheadache cleaning up later on.
yeah,
always talk like that.
and you have to
yeah.
tell it to commit to memory.
Right.
But if we're, you know, and thenthe other, the other big thing
is seems like AI can become aecho chamber very, very quickly.
(22:30):
Right.
Especially tutee.
Some of the other ones, like like GRwill be a little bit more honest with
you most of the time, but Chate can be abit of an echo chamber sometimes because
it'll tell you what you want to hear.
So.
Yeah.
looking for actual feedback on stuff,you have to say things like, be brutally
honest or you know, compare it versusthis thing, or compare it versus our
(22:52):
old state, or et cetera, et cetera.
Right?
You have to get creative with theprompting, but you know, it's gonna
give you more of what you ask for.
So if you are looking for validation, it'sgonna end up giving you validation, right?
Which is not
Yeah.
thing.
No, no.
(23:12):
It is just telling youwhat you want to hear.
Right.
So that might cause problems.
Definitely, it definitelycauses problems, right?
Which is
Yeah.
spaced early on.
I, I told the team, Hey, you know, we needto start doing everything on ai, right?
But then they were doingeverything on ai, but.
Not prompting it correctly.
(23:33):
So we were getting, you know,
Yeah,
kind of garbage in, garbage out.
And
yeah.
Yeah.
know, they've fixed
Improved.
and
Yeah.
it's fantastic now.
Fantastic work.
Because if you, if you promptengineer it, if you kind of train it
properly, it does a really good job.
But you can't just take it out of the box.
(23:53):
You kind of mold it towhat you want to do.
That's wonderful.
So once you put in the prompts,engineered prompts, then it started
thinking or reasoning differently tomatch what you were expecting it to do.
Correct.
Exactly.
Yeah.
And the
Yeah, yeah,
more data, the more context, the more callit storyline you can give it, the better.
(24:16):
Right?
It can handle that
yeah,
but it
yeah, yeah.
handle it before, right?
Three, five could
Mm-hmm.
all of that,
No.
like, now it could justtake whole PDS, cetera.
Yeah.
I love it, man.
It's amazing.
So, you know, going back to the, the wildpossibilities, that we, you mentioned as
well, and I'm also, and very similar towhat your thought patterns are towards
(24:41):
AI so far from what I'm, I'm hearing now.
The possibilities of ai, superintelligence or humanoid robots and,
you know, universal basic income.
All of these are fantastic thingsthat are coming, but which of these
(25:01):
do you think will actually see gomainstream and how could entrepreneurs
prepare, prepare for such a big shift?
So for, I'll, I'll give my, mybiggest piece of advice for,
for entrepreneurs planning theirstrategy for the next three years.
I think the next, so in case anybodydidn't see CHATT slash OpenAI, they
(25:26):
had a leaked strategy document.
And so I, I read through that.
Most of it is redacted, but youcan kind of get the gist of what
they're saying in there, right?
they are headed in the next, call it twoto three years, they're, they're phase
one is they want to become the superintelligent agent for your life, So.
(25:49):
They want to have it.
So that strategy, PT is themain thing that you send out
to do things for you, right?
Right now it's very back and forth,but it'll get to the point where you're
sending it out to do things for you.
Like, Hey, go make me a meal plan,me back the grocery list, and
then order it on Instacart for meso I don't have to do any of it.
(26:10):
Or you know, give me.
Go do the research for my, my healthin this specific condition, bring
me back an exercise plan that Ican use and then, you know, help me
sign up for a gym membership, right?
Find me the best gym, et cetera,and it'll go out and reach, reach
out to different gyms, et cetera.
So, you know, pretty soon that's gonnabecome the new reality, especially
(26:34):
as OpenAI gets more integrated withthe Apple ecosystem, which is the
majority of phones in the us and.
it's gonna become, instead of marketingand doing SEO for and and products, even
for people, it's gonna be who can cater tothe AI agents the best than actual people.
(26:58):
That's my bold bet for the next fewyears is like, you know, I think,
I think it's gonna be more aboutoptimizing for AI agents, finding and
interacting with your product rather than
Can you give an example of that?
Just to, to dumb it down, you know?
Sure.
So right now you can haveGoogle and make reservations
(27:25):
for you at a restaurant, right?
So.
You can say, Hey, you know, I want,I'm looking for a reservation during
this time, and Google will actuallycall and, you know, find you a time
for a reservation on at a restaurant.
Right.
This is really big in New York wherereservations are a little bit harder to
no, I meant,
(27:45):
and,
sorry, Paul.
Just to, just to correct just tomake sure we're on the same page.
So the actual functionality completelyunderstood, that it'll be able
to do a lot of the things that wecould do on a browser, for example.
But you mentioned that the futureentrepreneurs of the people that have
businesses or products and services.
They should be looking at waysto figure out ways to communicate
(28:09):
with the agents for the future.
So can you give an example of that partfor, let's just pick up a, a company that
sells, I don't know, shorts, whatever,
before, right.
If you were a, if you were a shortcompany, let's call it you, you're selling
bathing suits for men or something,
Yeah.
Mm-hmm.
your marketing strategy.
(28:29):
SEO strategy will be focusedaround finding keywords.
And
yeah.
two, two aspects of it, right?
Marketing, you're trying to find youraudience of people that are, say,
looking to go to the ocean soon, orthey're, they're traveling the ocean
and they're searching for thingslike, you know, bathing suits for men
that don't, they don't get dyed bythe ocean water or something, right?
(28:53):
they're searching for that physically.
And from an SEO perspective, you'retrying to get keywords like bathing
suits and best bathing suits for men
Yeah.
Mm-hmm.
Mm-hmm.
So it's, it's shifting slightly becausenow, right, somebody, instead of actually
physically doing that themselves, they'regonna say to their AI agent, Hey, go
(29:15):
out and find me the best bathing suits.
So it's gonna be aboutfiguring out what the.
AI agent is, is looking for in thosethings and how it's analyzing it and
bringing it back to people ratherthan the people actually finding
it themselves, if that makes sense.
So, but it's still doing the keywordsresearch, it's still doing, blogs
(29:39):
the agent will write the blogs,it'll do all that stuff for it
Mm-hmm.
drive people back to the website.
But instead of you commanding or tryingto do it, it will just do it for you.
That's what you mean, is that the.
Yeah, there's, there's little, there'slittle subtle differences such as
eventually people will just givetheir, you know, they'll just give
their AI a budget you know, their AIwill go and buy it for them, right?
(30:04):
Hey, buy me the best, whatever, the best
Yeah,
which means.
yeah,
The actual design of websites won'tmatter as much and the, the, the
human aspects of it, like how does thepsychology of the website make you feel?
Because
yeah.
will analyze it in 0.001
do it.
care.
They're just
Yeah.
Yeah.
they're looking for harddata and stats, right?
(30:24):
Which is where, you know, yourstuff like SEO and new term
would be GEO generative engine
Yeah, yeah,
much more important than thehuman psychology aspect of it.
yeah.
The MA machine aspect has to betaken care of, more importantly.
Exactly right.
(30:45):
And we've,
This is awesome.
kind of happen on, an investorrelations perspective as a public
Yeah.
Because
Yeah, yeah.
plus of all the trading in thestock market is done by algorithms.
So it's like, Hey, you're no longerwriting press releases for press
releases and materials for humans.
You're writing them nowfor bots, basically.
(31:06):
So it's like.
Wow.
How do you reconstruct your messageto cater towards the bots and the
agents that are trading ratherthan, you know, actual people?
Wow, this, this is probably the mostpowerful point in this whole episode.
So hopefully people in the audience arefellow entrepreneurs and business people
are picking up on this information.
(31:28):
I'm very grateful.
That you came on our show today, Paul.
It was, it was fun talking toyou about all this stuff because
this is my life right now.
I completely went fromenthusiast to deep into it.
And the more, the more you studyit, the more you look at it
the more like, just completely.
(31:50):
Co it will completely change the dynamicsof how we live today in, in so many ways.
You know, like once the robot isconnected to the ai literally, you
know, they're trying to figure outhow to make a, a autonomous cars maybe
you don't even need to do that, right?
Maybe the robot just goes in the car and,and drives it to wherever you need to go.
(32:12):
Maybe the robot is the most important,so go have a meeting for me, have
a meeting for, you're on yourphone and the robot is sitting with
another robot having a meeting.
You can see the other robot, but you'reactually talking, you're talking to
Mike, making a deal with the two robot.
Robot,
with
yeah.
So, yeah.
Oh, it was, but it did work out
(32:34):
it did not work well.
as much.
they did the
When VR
yeah.
the whole metaverserebrand and everything.
That didn't really
Yeah.
Yeah.
It didn't catch on.
No, I think there's new players comingthat are, are changing their dy dynamics.
The big boys you know, thatare out there, they're trying.
But I think with machines, thelittle guys have a chance, you
(32:57):
know, the little guys can createsomething valuable for humanity.
And, and I don't think anybodyshould fear the big boys anymore.
With machine, you'reable to do a lot now, so.
There are absolutely zero.
Barriers to entry from a baselineknowledge perspective, right?
(33:17):
You can get to 80% of theknowledge on any topic within a
very short amount of time with
Yeah, like imagine like everyhuman being literally is going
to be super intelligence.
Why?
Because you know, and especiallythe people that are, that pride
themselves on their intelligence,you know, they and I respect it
because they went through a lot.
They studied a lot.
(33:38):
That's great.
Obviously, but it, it could beintimidating because now everybody's
going to have it because if they havethe glasses, the glass is gonna be
reading their, even their body motion.
Like they could never study that.
Right.
So it could tell them what they're,you know, how are they vibing?
You know, they're vibe like,are they excited right now?
Do you think potentiallyyou're gonna close the deal?
(34:00):
Are they gonna walk away?
Or they're, they're scared.
What is the reason?
Or it could even find out.
Predetermine what they're about.
Like, oh, it just, it, it blows my mind.
it would be very interesting to seeas well, what happens with dating.
That's the
Yeah.
one that I'm very excitedto see what happens,
Oh yeah.
(34:21):
But,
Yeah.
Oh my God.
Oh man.
You, , it's fun.
It's exciting, but it'shappening right now.
We're in that reality.
Let's take advantage of it and grow withit again, Paul, let's stay in touch,
you know, and, and see if anything else.
If you're launching anything, definitelyyou, you're welcome to come back.
Appreciate that.
Appreciate you having me on
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