E275: How AI is Changing Small Business Forever – Jonathan Mast on Scaling After the Acquisition - How2Exit: Buy, Don't Build - M&A of Small Businesses

Episode Transcript
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Speaker 1 (00:00):
Most of the time, I'm recommending we just use chat
GPT because I find that ninety percent of the specialty
apps out there are just rebrit Essentially, it's lipstick on
top of Chat GPT. Not to say they're not adding value,
but they're things that you probably don't need them for. Now.
What gets me excited is some of the new agentic
AI are the agents that are coming out, because that's

(00:22):
going to be, in my mind, another level of value
that they can bring. And for users that are going
what do you mean agents, I mean with prompts nowadays,
we pretty much have to tell it, here's what steps
we want you to take, and it will then do that. Now,
I think the agents are going to be huge, just
because it's going to allow us to give it an
objective and have it go out and create that. I

(00:44):
think that's going to be massive for us. I also
think we're going to continue to see improvements in the
video area and the voice areas. As you mentioned, you know,
video is one of the things that everybody's very enamored with.
For example, I mean, yet you know, we are not
anywhere the point that you can say, you know, give
me a thirty minute sitcom or for that matter, a

(01:04):
three minute commercial based on a prompt.

Speaker 2 (01:12):
Hello, and welcome to the How to Exit podcasts, where
we introduce you to a world of small to medium
business acquisitions and mergers. We interview business owners, industry leaders, authors, mentors,
and other influencers with the sole intent to share with
you what it looks like to buy or sell a business.

Speaker 3 (01:31):
Let's get rolling and now a moment for our sponsors.

Speaker 2 (01:40):
This episode of How to Exit is brought to you
by Final Assent to Batique m and, a firm helping
lower middle market business owners achieve their ultimate exit, a
final ascent. They know selling your business is one of
the business decisions you'll ever make, and they've been in
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(02:01):
Final Assent specializes in preparing businesses for sale, building value,
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client unless they're confident they can sell your business at
the current market maximum value. Whether you're ready to sell
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(02:23):
away with maximum value and a peace of mind. Start
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(02:43):
anywhere else. Learn firsthand from industry leaders who share their
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and I want you to visit Acquisition Afficionado dot com today. Hello,

(03:06):
and welcome to how to Exit Podcast.

Speaker 3 (03:08):
Today.

Speaker 2 (03:08):
I'm here with Jonathan mast He is the founder of
Whitebeard Strategies, and we're gonna do something different today. We
usually talk about buying companies, selling companies, what it looks
like to prep your company for selling, all that, but
today we're going to spend some time on what it
looks like once you've acquired a company. Jonathan is an
expert in marketing he's an expert in AI technologies and

(03:29):
helping grow companies using these too. The old school in
the new school, I guess you would call it. So
thank you for being here today, Jonathan, and let's get
this thing going.

Speaker 3 (03:40):
Man.

Speaker 1 (03:40):
Well, I'm excited to be here, looking forward to the conversation.

Speaker 3 (03:44):
Awesome. Well okay, so let's start off.

Speaker 2 (03:46):
When we always start off is kind of who are you,
where are you from, and what got you into the space,
so people can kind of get to know who we're
chatting with today.

Speaker 1 (03:54):
I'd love to. So, yeah, I've spent most of my
career in the digital marketing field, been in sales marketing.
The most of the last twenty years was all in
digital marketing. And when AI came out in you know,
twenty twenty two and a rapper, that made it easy
to do. I mean, a has been around for a while,
and that rapper came out, this add visionary entrepreneur was like,

(04:16):
holy crap, I could do some really cool stuff with this.
And candidly, what I found is that being add I
can hyper focus for a period of time, and AI
gave me that ability to hyper focus longer because it
kept up with my brain better and it sounds really weird.
If you're not ADD, you probably don't get it. But
if you're AADD you go, oh yeah, that makes sense.

(04:37):
And I'm like, I started seeing, like everything else, I
started seeing people coming out on really two sides. It
was the fearmongers on one side, talking about, Oh my gosh,
AD's going to take all our jobs, We're all going
to have nothing to do, We're gonna be worthless, blah
blah blah blah blah. I'm not there. And the other was,
you know, eighteen year old kids that were standing next
to lear jets they didn't know and telling them how
they made millions of dollars with AI and it had

(04:57):
just come out, and I'm like, we need a voice
of and in here. And for whatever reason, I guess
because I'm fifty five and have a long white beard,
I'm like, I want to I self appointed myself that
voice or reason and started just talking to people about
AI adding value. And I guess it's working because we
talked about half a million people now every day about
AI and prompting and how to leverage it in business

(05:19):
and at the same time, how to have some fun
with it at the same.

Speaker 3 (05:22):
Time, awesome.

Speaker 2 (05:24):
Well, I know I use it every day and everything
we do, every tool that we have for this podcast,
and everything we're using for other areas of business. As
I run, we bring it in it where we can,
and it has both streamlined what we do and produced
a higher level of quality in what we do and

(05:47):
much less time. So did it replace anybuddy? I probably
would probably have to have one, maybe two more vas
without it, just because the time, especially when I was
doing two shows a week. We're down to one show
a week now. But when we were doing two week
and we're scheduling all that, and I had three or
four clients on you know, we had two full time
vas and we still used AI. But AI has become

(06:09):
more proficient and we're doing a little bit less on
the production side now, so we're down, we're down a
little bit smaller of a staff or this thing.

Speaker 3 (06:17):
But where did you see AI?

Speaker 2 (06:21):
Where do you sa in the last you said twenty
twenty two, it's been only what two three years since
it's been kind of opening the public. Yeah, I mean
I did my master's degree in marketing and I graduated
in two thousand and seven, so I waited a little
while after undergrad to go to I'm fifty two. No,
I'm sorry, I just turned fifty three.

Speaker 3 (06:43):
But yeah, So.

Speaker 2 (06:46):
Even back then, I remember talking about the IBM had
a Watson, I think was it called IBM Watson. It
was just AI and it was helping paralegals and doctors
and scientists and stuff at this point, so they'd been
around and that wasn't two thousand and seven. And I
know that the giant, biggest AI in the world has
been around as long as that, And that's the one

(07:07):
that Black Rock uses for what it's called now, but
they have they have an AI tool that helps them
do market predictions. It's it's a monster, but that one. Yeah,
but you're right, the public wrapper, the chack Chept came
out and said here's something the everyday person could use
and kind of exposed expose that to your average you

(07:29):
know person.

Speaker 1 (07:30):
Yeah, and I think that's you know, that's opened up
opportunities that we just hadn't really anticipated prior to that.
You know, I always tell people that are like, I'm
scared of AI. I'm like, you use GPS in your car.
They're like, well, yeah, of course you realize that's a
version of AI. You use a spell checker on your computer.
You ever use grammarly checks your grammar?

Speaker 3 (07:47):
Oh?

Speaker 1 (07:47):
Yeah, I've been using that for years. That's a version
of AI. I think. Just you know, in twenty twenty
two when chat GPT came out with that rapper and
now of course we've got all kinds of things all
of a sudden, it made it much more understand the
ball and available to those of us like me that
I'm not a coder, I'm not a developer. I'm a
sales and marketing guy, and so being able to pull

(08:08):
that in has been just massively important.

Speaker 2 (08:11):
Yeah, I've seen last week or the week before, it
was a CEO of Anthropic, which is one of the
AI companies out there. He came out and said right now,
I think he said, right now, AI can do about
seventy percent of all code, and by within twelve months
it'll be near right.

Speaker 3 (08:30):
What do you feel?

Speaker 2 (08:31):
You know, there is some realistic concerns for people to
think that AI is going to change people's jobs. Will
it take jobs? It will, but there'll be things that
AI can't do that people will need to shift into.
It's just the same way, you know, there were there
were a lot more horse stables before cars came around, right.

Speaker 1 (08:51):
Well exactly, yes, yeah, No, I'm with you, and I'm
not one to say that nobody's going to be displaced
by AI. They will be. You know, it's interesting when
we when we go back and study history. When the
printing press came out, everybody predicted that, you know what,
we're not going to need to We're not going to
need to work anymore because the printing press is going
to make you knowledge ubiquitous. When the internal combustion engine

(09:13):
came out, that happened when the PC got put on desktops,
which I can remember, that's when I was getting in
the workforce. They predicted that when the Internet came out,
they predicted it. They've always been wrong, and they're wrong
this time when they're predicting it. Will there be displaced people? Yeah,
you know, I grew I grew up in an Amish
community where there was literally somebody that made buggy whips
and buggy wheels in that But there aren't many of

(09:35):
those around anymore because the internal combustion engine replaced that.
The good news is is every one of those technological
shifts has created more opportunity on the back end than
it took away on the front end. So will there
be people displaced, Yes, there will. Like you mentioned, you
probably need two less assistants now because you've got AI
to help you out with things. But those assistance though,

(09:57):
the AI that you have is allowing more opportunity needs
to be created, and ultimately we're going to have more
jobs than what we did prior to AI.

Speaker 2 (10:06):
And there's still a lot of work for AI to do,
right I mean, oh yeah, I'm probably more technical than most.
I wouldn't say i'm you know, at the top of
the line, I haven't written a line of code probably
in twenty five thirty years, since I was forced to
in college, at least maybe you know, maybe subscripting language

(10:28):
and stuff. In the last couple of weeks, I decided
i'd you know, wild hair and wanted to put out
an app. And usually if I wanted to do something
like that, I'd go hire a couple of people and
we would I give them the idea, we'd flesh out
the requirements and had to have them code it. But
I thought I would jump in and play with the
AI programming tools that are out there, replet and Lovable
and all the other ones, and they're not as.

Speaker 3 (10:52):
No code as they like to say they are.

Speaker 1 (10:56):
Yeah, exactly, it's AI still amplify skill and experience. You know,
if I'm not a hurt surgeon, and I could attempt
and play one with AI, but if you let me
cut up in your chest, you'd still be an idiot
because I don't have that skill and experience. And so
can AI. I think help programmers. Absolutely, can it help
them do maybe even better code possibly, But it's it's

(11:19):
not going to replace a good developer because now the
expectation of that developer is that they're going to have
the AI tools and so we're going to be able
to get more work done. It's simply going to change
that paradigm.

Speaker 2 (11:31):
Yeah, I can see AI being really good at producing code.
I think the difficult part of code is translating human
desires and needs into something that relates to on software.
So yes, you know, I worked and I worked for
the government for a while in the computer industry where
we designed computer and software tools and stuff, or mostly

(11:53):
the military and the government, and the requirements phase was
the toughest one, like what do they really want? What
do they really need? How do we put that into software?
Because they sell, don't need one thing and you put
it in the software and like, that's not exactly what
we were looking for. Right. That's the most difficult part
inside of coding. Is it writing the software. It's figuring
out what the end user truly wants and delivering it

(12:16):
to them in a way that's actually useful. Yes, I'm
sure A will get good to the point where it'll
start knowing that and start asking you better questions, right, But.

Speaker 1 (12:28):
Yeah, I mean it's we're going to continue to see improvements,
like you said. But it's that's where I just say,
I don't agree with the fearmongers. It's it's not it's
like businesses that assume that, oh, man, if I can
use AI, can I replace my sales team. It's probably
one of the biggest questions I get from sale from
business owners, And I'm like, not, if you want to
keep selling stuff, No, that's not going to be wise.

(12:49):
Can it? Can it augment your sales team? Absolutely? But
AI is never going to build the relationships in that.
At two in the morning, when somebody wants to buy
a service or something you have available on your website
or book an appointment, can AI help them do that one.
But if I'm looking at purchasing something, unless I'm only
interested in price, I'm not going to be interested in

(13:10):
buying that from an AI agent. I'm I'm still going
to be looking for information and that relationship and that
trust before I buy.

Speaker 2 (13:18):
I've seen some of the newer tools out there, I've
messed with some of them that are working with empathetic
type of tones and stuff like that. I can get
to the point where I believe it will be a
day where it's going to be hard to tell if
you're talking to a human being or an AI absolutely agreed, yes,
especially in voice, or you're not in person. I mean,

(13:39):
if you're a person, you're in person, but when you're
on if it's a phone call or if it's an
even maybe even a zoom call with some of the
cool video stuff they're doing, I think it might be
it might get fairly difficult to figure out if somebody
is reeler for just an avatar with a AI on
the back end of it.

Speaker 1 (13:56):
I mean, I literally ran into it yesterday. So I'm
looking to purchase something, and I'd schedule an appointment to
go in and talk to a salesperson about it and
I got a text, and the text was a little
wasn't badly written, but it just seemed a little off,
and it was apparent they hadn't read what I had
sent them when I booked the appointment. They were kind
of confused, and I just immediately thought, I bet this

(14:17):
is a bot that's poorly programmed. And I actually asked,
I said this about y human. Now I was surprised
in this case I got back a human. And then
I will admit my brain did a bit of a switch.
I thought I almost wish it was a bot, because
it probably would have read what I said and not
caused the inconsistencies. And I do think that's something that's
going to change. I do think that in many ways,
as we progress through this, we as consumers are going

(14:39):
to get to the point that we're like for some
of our interactions, again, like booking an appointment, I really
don't need to talk to a human being. I just
want to be able to talk and get it done
with and marked off my calendar so that I can
move on with my life. So I think there will
be areas like that. But I also I said, I
don't think it's going to replace salespeople wholesale either.

Speaker 2 (14:58):
I've actually been you get a kick out of this.
I've been experimenting with making Chatty Pete, the voice activated version,
a co host for some of the shows like where
I Have, but I have average software to work right
where it's recorded. I haven't figured out the software loop
to get it to hear what you're saying with one
of these tools and to hear what I'm saying through

(15:19):
the mic and to know there's two different people talking.
So we've been playing with it, but at some point
I think that would be a fun show just to
have a you know, pre train and AI, whether it
chattype or one of the others, to listen to a
conversation and have it either suggest in the background to
me or just have it come out out and ask
questions to deepen the conversation, to understand our audience and

(15:41):
to do that just like having a virtual co host.
And yeah, absolutely, I don't no men be doing it yet,
but I've been trying to get the I don't know
what software I'm missing or whatever.

Speaker 3 (15:51):
Just I'm on a Mac and maybe it's just too
locked down, but it can't hear.

Speaker 1 (15:56):
I love the idea though, Yeah.

Speaker 2 (15:58):
But let's start off with what are some of the
ways you're helping in small businesses use AI to grow.

Speaker 1 (16:03):
One of the biggest things that we're focusing on is
just encouraging them not to overcomplicate it. And one of
the things we see so often is many business owners
look at AI as the it must be the easy button.
I can do this, and it's going to make everything easy.
It's really more of an easier button instead of an
easy button. In other words, it's going to help and
do things, and it can help do things faster, but

(16:24):
it's not always going to alleviate it. Give an example,
this morning, I had went into our we sell courses,
and so last night in the morning, I typically took
a look how do we do yesterday? And I saw
that we have one individual that had tried to buy
our course fifty separate times last night, and every transaction
had failed. So I popped in my Stripe account and
took a quick look. And I could have had my
assistant to do it, but I had a moment and

(16:46):
I took a look, and I realized that he also
tried fifty different credit card numbers, because the last four
digits on every card number was different. Okay, immediately, that's fraud.
We know that that's fraud. Now they all got declined.
That's the good news. But Stripe wasn't doing anything about it.
So I thought, you know what, I really need to
write an email to Stripe just to cover my behind,
to make sure that I've notified them of this activity

(17:09):
and not a problem. I can normally do that, but
that would have taken me fifteen minutes to think about
how to do it, what to say, put everything together. Instead,
I grabbed a screenshot from my Stripe dashboard. I went
to chat shept and I explained just like I'm talking
to you, what I wanted done, and literally, in thirty seconds,
I had an incredible email with tons of detail from
the screenshot that basically said, we're putting you on notice

(17:30):
that there's been fraudulent activity. We see this. We encourage
you to block this user or do whatever you do.
That would have again taken me fifteen minutes at least
to do. Now it took me five. And there's so
many things like that that I think come up for
us as business owners, and some of them the problem
is we're not doing them because it's going to take
too long, and we've got too many other things and

(17:51):
AI now freezes up to do some of that. So
in my case, as fast as I could have had
my assistant say go in, check this out, figure out
what's going on, send email the stripe, it was all
done and I had already approved it. And so that's
just one of many examples that we use. And I
think that's a big example of just start simple. Don't
try to do everything day one. Start with something simple

(18:14):
and then add a new task every day. Won't take
long and your brain will start going, oh hey, if
it did this, I could do this, And then you're
going to realize that you've become it's it's becoming an
important tool in your toolbox that you're using every single day.

Speaker 3 (18:30):
Right.

Speaker 2 (18:31):
The one of the cool things that we do, and
I help people's community do and use it is to
answer some you know or help us take a look
at things that are fairly complex, right, And a lot
of times the guys that we talked to you, the
guys that listen to the show, and the guys that
hang out with me on zooms. So we have we

(18:51):
have a zoom that we meet twice a month for
the listeners people try to buy and sell companies, and
you know, one of the things that we have to
do a lot of these companies is industry research or
due diligence on a particular company. And we've been using
AI a lot now, especially with some of the deeper
research AI tools to do that. But get in the prompt, right,

(19:15):
uh is often a problem. So I come up with
a little for me I want to share with you.
Get your feedback on it, maybe you can help me
improve it. Here's here's how we I get people to prompt.
And I said, treat AI as if it's one of
your a new hire, a new employee. So in every
prompt that I do AI or that I you know
that I haven't pre can. I have a lot of
them my copy and paste because I've used them over

(19:35):
and over again. But when I'm coming up with a
new one, I tell I act like it's a new employee.

Speaker 3 (19:41):
I tell them why I hired them.

Speaker 2 (19:42):
So the first thing that you know, statement is you
are this type of person, you know, and I need
you to help with this type of task.

Speaker 3 (19:48):
Right.

Speaker 2 (19:49):
You're a copywriter, You're a world class copywriter, and I
need you to, you know, help me write a sales
letter for X y Z business. Then I tell them
The second step is like, you know who you are,
who are you?

Speaker 3 (20:01):
What?

Speaker 2 (20:01):
You know what I hire you for? And then I
tell them, here's exactly what I need. I kind of
give them a description of the output i'd like to see, so,
you know, for just follow down the marketing nerd thing
and go down the copyright. They say, I want you
to use the ATA format, which is attention and anyway,
I'm not going to get it that.

Speaker 1 (20:20):
It's yeah, no, it knows it.

Speaker 2 (20:23):
It knows it, so the AA format and you know,
and and I want it to be you know, one
or two pages long.

Speaker 3 (20:32):
I'll give it to your description.

Speaker 2 (20:33):
Of anything I think I then I think it needs.
And then the last thing I always do is the
same thing I do with the new employee. Ask me
any questions you have of me or do you have
any questions before you get started that will help you
complete this task.

Speaker 1 (20:46):
I think you you've got it nailed, and said, really,
we we follow something almost identical and we call it
the perfect problem framework. The part that I love that
you added in that so few people do is that
last part. It's just like you said, with an employee.
We're going to ask it, employe, if you have any questions.

Speaker 3 (21:02):
Ask.

Speaker 1 (21:03):
We don't ever seem to say that to AI. And
yet AI is intelligent enough quote unquote I use that
word in air quotes to know, boy, you just asked
me to write a press release and you didn't tell
me who the audience was. I should really ask you
who that is. And if we don't ask, it's going
to assume. And we know what happens when we assume.
We end up like the south end of a northbound mule.

(21:24):
And so if you add that, I love that. You
wouldn't believe how few people do that. I think that's amazing.

Speaker 2 (21:30):
It'll come back often with ten to fifteen questions, and
I'll even follow up with I absolutely treat it as
an employee. So if I did that with an employee,
I said, do you have any questions before you get started?
They asked me if five or ten questions like okay,
then I say at the end of that conversation, I'll say,
do you understand the task at hand or do you
have still have questions? I do the same thing before
I ask the prompt to generate the quality product. At

(21:53):
the end of all I'll answer it say it'll come
back with ten or fifteen questions. Who's the target customer,
what's the business you know, what's the product life cycle?

Speaker 3 (22:00):
How long are they going to use?

Speaker 2 (22:01):
It'll ask you all kinds of cool stuff about what
you need to know as a copywriter to write that
sales copy. When it's done, i'll say do you have
everything you need? Or do you have any further questions?
Sometimes it'll pop up and say, well, you know, I
could this and this and this would help, And then
I would answer that I don't let it go too far,
because it'll ask you questions all day long.

Speaker 1 (22:19):
If you keep back, it can Yeah, sometimes you got
to go never mind, just get started.

Speaker 2 (22:22):
Yeah, just show me what you got right, the same
thing you would his employee is. I guess sometimes they
get employees to get into analysis paralysis and at some
point like, Okay, I think you've got everything you really need,
Go do what you do, bring it to me, and.

Speaker 3 (22:35):
We'll see if there's a room for improvement.

Speaker 2 (22:37):
Right, And a lot of times you do that with
the IAI You'll tell it Okay, I think you have
everything you need, Go do what you do, bring it
back to me and then you know you'll read the
letter you go. I think it needs a stronger close
or a stronger call to action or whatever. Now, the
difference between me and you and most of the population
out there is we know what a good sales letter
looks like.

Speaker 3 (22:57):
Probably it's because of our marketing backg.

Speaker 2 (22:59):
Yeah, there is something to be said about having a
good BS meter for anything you ask AI to do
the same way you would have a good BS meter
to ask anything you would ask an employee to do
right well.

Speaker 1 (23:14):
And I think what you're hitting in there is so important,
And that's you know, AI amplify skill and experience. You
and I know what a good sales letter looks like,
which means that you and I using AI are going
to write a better sales letter than Joe Schmoe down
on the Corner business. He can write a sales letter,
but it's never going to be as good. It's like
me trying to be a chiropractor without being a chiropractor.

(23:35):
AI can teach me some things, but it's never going
to be as powerful as if a trained chiropractor used it.
Be far more powerful for them to use it.

Speaker 2 (23:44):
You know, It's one of those things that it's a
skill modifier or enhancer. Yes, I often use the in
the copyright world off and use a tier levels. There
are people out there that if you pay them to
write a sales letter, they're only worth a ten thousand
dollars sales letter. I you know, I've been trained by
Dan Kennedy. I've taken copyright courses by him and other people.

(24:06):
I've been trained. I have all these different things where
I've been trained in it. Right, I've probably spent fifteen
twenty twenty five thousand dollars being trained on writing better
company because before AI I had to do it. That's
how I built both sales letters. That's how I built
most of my businesses. That said, there are people out
there that you couldn't get a letter out of them.
You couldn't get them to write a copy or a
sales letter for you for less than fifty And you

(24:28):
got people out there that won't even come look into
you or talk to you about writing your sales letter
for less than one hundred. Like Dan Kennedy, you ba
have to pay him one hundred grand to get him
to look at your business to.

Speaker 3 (24:38):
Say whether or not he'll write a letter for you.

Speaker 2 (24:41):
I would say that and I would put my class.
If I was still doing copywriting, I would probably charge
you if you want me to do an in depth
when do the research everything, no less than ten thousand dollars.

Speaker 3 (24:50):
That's what it would cost. AI replaced that.

Speaker 2 (24:53):
Even if you if you're a business owner out there
and you've never written a letter in your life, AI
can do it ten thousand dollars copy letter off the bat.
But if you take a guy like myself, who's who
had the training and put it in there, I can
compete with the guys at the fifty to sixty thousand
dollars levels now, just exactly. And it's just because I

(25:13):
know what to look for. I know what it sounds like.
I know that there's certain things you would never do
in standard writing you want to do inside of a
good sales letter. Right example is open loops. You start
an idea, you get intrigued, and then don't give them
the answer to the idea, right especially if you're trying
to drive to a call or something that said, what
other what other prompts or other tools do you see

(25:35):
inside of this? I mean we talked about writing sales letter,
doing some marketing and stuff. There's some tools coming out there,
I'll actually generate full ads and stuff. What do you
what are you using? What do you have your customers
using these days?

Speaker 1 (25:47):
Most of the time, I'm recommending when you just use
chat GPT, because I find that ninety percent of the
specialty apps out there are just rebrid Essentially, it's lipstick
on top of chat GPT. Not to say they're not
adding value, but they are things that you probably don't
need them for. Now. What gets me excited is some
of the new agentic ai or the agents that are

(26:08):
coming out, because that's going to be, in my mind,
another level of value that they can bring. And for
users that are going, what do you mean agents, I
mean with prompts nowadays, we pretty much have to tell it,
here's what steps we want you to take, and it
will then do that. Agenic Ai is different and that
we can basically give it our end goal and it

(26:29):
will then figure out what steps it needs to take
in order to achieve the objective, including things like I
am going to have to go check your email because
that's part of what you want me to do, and
then turning control back over to us to log into
our email or our LinkedIn account or whatever. So that's
probably got me more excited than anything else because I
think we haven't really even scratched the surface, and so

(26:51):
many people don't even understand what we do with AI.
I think they're going to be even more blown away,
so to speak, when they start seeing what some of
the agenic AI can do.

Speaker 2 (26:59):
Yeah, I'm I'm looking forward to a lot more of
that stuff. I still haven't found a really great agent
tool that is truly autonomous, meaning that I don't have
to interact with it. You know, there are certain things,
you know, like I hold monthly events. I would love
for an AI to go, you know, be able to
tell an agent log into my things I have my

(27:20):
VA do now that's just repetitive, right, log into my
LinkedIn account, create this calendar early thing. We do it
on their first Thursday and the third Thursday of every
single month at eight am Pacific. This is the zoom link.
It never changes, you know, all this different stuff. It's
just cookie cutter, like, it's got a repetitive task. I
would love to have an AI just like you know,

(27:41):
do this and then you know, I would also like
to be able to go and you know, look at
the last fifteen meetings and invite everybody that's ever said
they were going to attend to those, because right now,
that's a task that takes the maurial my assistant, you know,
probably an hour or two right exactly, you know, each month,
or maybe an hour two for each meetings for four
hours six hours a month. Where an autonomous tool could

(28:02):
really do that really easily. You know, if there was
one out there that could log into the account without saying, hey,
stop everything you do and log into it while I
go do this.

Speaker 1 (28:12):
And that's you know, the agent tools are really in
their infancy right now at bast to maybe even pre infancy,
but I think that's something we're going to see more
and more. Things like you said, when you give it
the ability to actually execute on some of those repeatable tasks.
They're important, they need to be done, but they obviously
are largely administrative and therefore and largely wrote. In other words,

(28:35):
they're going to operate essentially the same way every time.
You know, it'd be kind of like I mentioned earlier
with my I would love to be able to have
an agent that checked my sales ever the last twenty
four hours and identified, oh, we've got an individual here
that's done a bunch of you know, charges that didn't
go through. Let's find out if it's oh yeah, look
at that fifty different credit cards. Okay, write the email

(28:57):
and notify Stripe. It doesn't happen often, but it would
be really nice if I didn't have to worry about
that or even look at that. And I think we're
getting closer to those days.

Speaker 2 (29:06):
It's like we have probably about one hundred and fifty
maybe two hundred thousand followers between all the different platforms.
I'd love to have an AI that can log into
every single platform check on those followers. Watch watch my
stream right because it's just too much, and see who's
talking about X, Y and z to give me ideas
like who's where are the challenges that my listeners are having? Right,
because I'll bring a guy on for that, and I

(29:28):
ask them all the time. I always say, you know,
if you're if you're stuck somewhere, tell me you know
who would have the answers.

Speaker 3 (29:33):
I'm gonna interview.

Speaker 2 (29:34):
Them and then you'll have content you'll have you'll have
a lesson in a box.

Speaker 3 (29:38):
Right.

Speaker 2 (29:38):
But I vary for very rarely, maybe one or two
people will respawn. But often you'll see people just pop
up and ask the masses on social media, which is
the world worth place to ask a question?

Speaker 3 (29:50):
By the way, Yes.

Speaker 2 (29:53):
Ask a bunch of half nots that surf in Twitter,
how to you know do due diligence on a business?
Or you're going to buy in fifteen out of tw
when you're eighteen out of twenty. The people that answer
your question are not attorneys and have never a bought
you about of business, and they're giving you emotional response answers,
and exactly you're just clouded working up the water there.

(30:13):
You're better off to go AI as we're talking and
just see what AI has to say. There's another one
I'm playing with. What do you think about this idea?
I'm a visionary In the realm of there's two different
classes entrepreneurs. Usually there's people who are visionary and idea
people people like me who are extremely adhd add and
can come up with ideas and solve problems fast. That's

(30:35):
one of the things I do.

Speaker 3 (30:36):
I hurt.

Speaker 2 (30:37):
I'm not the operator, so I'm not the implementtor guy,
the guy who can just jump in there and turn
the gear the same way. You know this widget turns
over at this speed every day and it produces a
dollar if you turn at this direction at this speed
right at the third crank over on the third dollar over,
I'll be like, Okay, this is boring here, what about
this cool thing over here? And I'm off doing my
other thing. Yes, that is detrimental to a business. All

(31:01):
great businesses.

Speaker 1 (31:03):
Every time, Yeah, all.

Speaker 2 (31:04):
Great businesses need somebody in there that says, wait, wait, wait,
this makes a dollar. I'm going to sit here and
crank this out right. They need the operator, the guy
that can say, your ideas are wonderful, go over there
and play with your idea. Let me go here and
crank this dollar out. Let me be the operator. I've
been training with playing with my AI. I've got one.
I'm training like a like a project. So he has

(31:26):
this all that, it retains all the stuff, and it's
my business partner. He's my operator guy, right, So we
I ask you, it's kind of like a business.

Speaker 3 (31:34):
Coach in a box. And it's pretty good.

Speaker 2 (31:38):
He's still it's I've caught it hallucinating a couple of
times still even today. But so does the average person
I would chat with.

Speaker 3 (31:45):
I brought it.

Speaker 2 (31:46):
Exactly you know, if I hire Joe SMOs CEO of
five companies who's retired. You know, I met him in
Score and I said, hey, come on be my advisor,
to come on side on my board. Ninety percent of
stuff out of his mouth is probably goal still one
percent opinionated garbage that comes out of every human being.

Speaker 1 (32:04):
So you know, it's a good point you make. It.
It's like people that go, why do I have to
proof read the stuff that AI creates for me? And
I'm like, well, if I assigned it to a writer
on my team, or if I had my admin write
a memo for me, which I've done many times in
my life, I didn't send it out company wide or
publish the press release without doing it and taking a look

(32:24):
at it. I'm like, well, of course not. And I said,
why would you expect to do that with AI? Then
it's no different like you said it. You know it
will make mistakes. But I always remind people this has
been trained on every book in every library in the
entire world. If you've gone to Barnes and Noble, or
if you ever went to a library for those of
us old enough to remember a library with physical books,
you go to a topic, there's more than one book

(32:45):
on a topic, and they don't all agree. So it's
not surprising that since AI's been trained on all that
and nobody told it which was the right book, that
sometimes it's going to give contradictory information or that it's
going to get confused on things. It's part of our well,
it's why AI is never going to totally replace us
in my mind.

Speaker 2 (33:04):
And I'm gonna say something might slightly controversial here.

Speaker 3 (33:08):
I'm not the best. I'm never into.

Speaker 2 (33:11):
Politics on this show, but because I you know, I
always joke around. I'm just ask if you're a Republican
or a Democrat. And I refuse to say on the show,
but the I'll just tell you that I think they're
both wings. Everybody's talking about right wing left wing. I
think they're both wings of the same bird. It's a
big o' corrupt vulture that both sides are dirty.

Speaker 1 (33:28):
That's as far as I told you pre show. We're
cut from the same cloth. I tell you I agree
with you entirely right ring.

Speaker 2 (33:34):
You know, Oh I'm right wing, I'm left wing, and yeah,
you're both vultures. That said, I still think that there's
all the AI currently is programmed and by teams of engineers,
mostly in Silicon Valley and or.

Speaker 3 (33:46):
Other tech hubs of the world.

Speaker 2 (33:48):
There is cognitive bias in every human being, so when
humans get to select what something's educated on, then are
cognitive bias as our own preferential beliefs usually will come
into play. And all the ais currently have been caught
being biased one way.

Speaker 3 (34:06):
Or the other.

Speaker 2 (34:07):
And you know there's not They along claims he's got
grocked trying to be unbiased in any one direction or another.
But I just don't think it's possible when you have
engineers selecting training data and deselecting, you know, certain areas
of content and saying that that's not worthy of being

(34:29):
trained on.

Speaker 1 (34:31):
I couldn't agree with you more. In fact, it's one
of the things I hear so much from the naysayers.
They're like, yes, but it's biased, and I'm like, so
is every human being on Earth. I mean, this is
just part of life. We have to because somebody's biased
doesn't mean that they're necessarily invalid. And the same thing
I say about that with AI. It has biases, just
as every person on Earth does. Biases are part of life.

(34:54):
The key is to be aware that it has those biases.
And when you do that, it's like talk to a person.
You know, if you brought up Elon Musk, love him
or hate him, he has biases and one needs to
be aware of those. We can go on the other
spectrum in the same thing with again the other the
other wing. It wouldn't matter. Everybody has biases. You have biases.

(35:15):
I have biases. And to assume that something's truly non
biased across the board, I don't think is what. First
of it's not interesting, and too, it's certainly not very likely.

Speaker 3 (35:27):
Right.

Speaker 2 (35:27):
So I brought the whole topic up because you're talking
about proof You know, a lot of times you're gonna
proof read to make sure it matches the message and
the branding and the communication that you want out in
the world, right, Yeah, and you want to make sure
it doesn't have any biases in it that don't align
with your brand.

Speaker 3 (35:46):
I'm not sometimes it's just sometimes it's.

Speaker 2 (35:50):
Good marketing to be the rebel, to be the you know,
in your face type of person. So you know, I'm
not saying that biases there's no place for biases in business.

Speaker 3 (36:01):
There absolutely is.

Speaker 2 (36:02):
It's a you can win quite often by being the
you know anti this or pro that you know stance,
you can you can make money doing it. That said,
just understand the AI is not you or typically one
of your employees. Uh, you haven't hand selected them and

(36:22):
know their background, so you just you have to proof
for you to make sure that it's it's biases or
anything it puts together aligns with what you're doing it.
I haven't been able to train some of that out
of it either a little bit but not totally. Where
you say, okay, this company's brand images this, it's that,
and we want you to take a harsher stance. A

(36:45):
lot of times it comes out to stoff you know,
stoft on something you still have to go back.

Speaker 3 (36:49):
No, you know, be a little.

Speaker 2 (36:50):
More firm on on on this side of the fence.
But the awareness is I think is the key to
any side of this right, Being aware of what you
want the outcome to look like, you're going to get
a lot faster to this told than anything else. Yeah.

Speaker 1 (37:08):
No, And again I think it's it's that awareness that
really is so important. We simply need to be aware
of what we're dealing with. It's no different than you know,
when I'm driving, I need to be aware of the
traffic around me. We can assume everybody's going to follow
all the laws and that the brakes will work every
time somebody applies them in their vehicle, but we can't
always assume that we need to be aware. Even self

(37:28):
driving cars have awareness of their situational surroundings, and we
need to do the same thing when we're using AI.

Speaker 2 (37:35):
When we say using AI, most of the time at
this stage, it's sitting down in front of one of
the tools and either speaking into a microphone and talking
to it or typing up a prompt and I talked.
We talked about one idea and prop engineering earlier. I've
traded a wickets an employee. There's another area I want

(37:56):
to chat with in case you just don't know, or
you're wanting to try a new tool that it seems
to be working for me chat ChiPT is very aware
of the other ais out there. Yes, so a lot
of times if I'm doing about to use something different
that I've never used before, Like even when I was
going to try to write a piece of software.

Speaker 3 (38:15):
I told you this before the show, and I think
I brought it up in here.

Speaker 2 (38:18):
I try to do some no code play with the
no code tools are just not quite where I thought
they would be by this point.

Speaker 3 (38:23):
That said, I asked CHATCHI PETI.

Speaker 2 (38:25):
I said, hey, I'm having trouble with you know, let's
just pick one replet. I'm trying to do X Y
Z in it. And I, you know, helped me create
a prompter set of prompts to get the end result
I want using that tool. And AI is in chech
pe Jim and I, you know, God prepaid for co
pilot eighty the others.

Speaker 3 (38:47):
And I'm not in the I'm running a Mac. I've
been on MAC.

Speaker 2 (38:51):
I was a Unix system engineer when I was in
the military and the government.

Speaker 3 (38:55):
I very rarely use a PC.

Speaker 2 (38:56):
So if I'm a little biased on anything, it's that
PC stands for peace the crap.

Speaker 1 (39:02):
I love it.

Speaker 2 (39:02):
That said, Uh, that's my big cognitive there's my biases.
There cognitive biases. That said, the prompts in the in
the way that we you know, put these together is
is critical, right, It's it's like it's a hard part.
So a lot of times I just ask it. I
was like, well, how do here's what I want? How
would I have asked, you know, what would be a

(39:23):
better prompt so the next so I could save it
for the next time, or Hey, I'm about to use
tool X y Z, what's the best prompt to accomplish
this output? And you know, it's still going back and forth.
I don't always just copy and paste what it says,
but it's almost always better than what I originally would
have tried to halfway put in there to start.

Speaker 1 (39:42):
With, exactly exactly where.

Speaker 2 (39:46):
Do you what's your favorite? Are you currently just using
Chetti or do you have a Gemini or what's your
favorite current.

Speaker 1 (39:52):
Tool I use? I use a lot of them depending
on what I'm doing because I train on so many
of the models. I think I subscribed it virtually everyone
that's out there. But at the end of the day,
I probably use chat GPT for eighty to ninety percent
of what I do. And the main reason I do
believe it or not is I absolutely love their custom
GPT feature. The ability that I can go in and

(40:13):
train a version on data that I'm going to use repeatedly,
you know, coming from the digital marketing world. When I'm
working with a client, The fact that I can train
a model on that client and their specific brand information
saves me and my team so much time as opposed
to use the others. Now, the other models are great.

(40:33):
I love Claude. In fact, they just announced this morning.
I don't know if you saw or not, Claude finally
is going to have web search. They just announced it
this morning, which will be great, be a great addition
that something's been missing. Gem and I have not been
a fan of In fact, I've been pretty outspoken that
I think Google has missed the wave on Ai. But
just in the last couple of weeks they've released their

(40:54):
new versions and I am duly impressed with them. It's
almost like they went It's almost like they decided to
sit on the sidelines and tease us for a two years,
going we're going to release a bunch of crap, and
then we're just gonna surprise you one day and release
something really good. And by the way, for the record,
a couple of weeks ago is one that really good
came out. So I use a lot of different models.

(41:16):
I get people mad at me because I use some
of the Chinese models as well, because I think it's
important to understand the competition. But yeah, I still probably
use chatchipeat more than anything else.

Speaker 2 (41:27):
I've used Deepseat twice, three or four times. It was impressive,
But for the level I need when I use I've
just play and plus I already started with chatchepet. I
have all my projects in there and stuff. I use
it probably eighty percent of the time too, one of
the ones I love to use now that I only
use it for one use case And have you missed

(41:49):
with notebook LM.

Speaker 1 (41:52):
Yeah, we use it quite a bit. Actually, internally, I
desperately I wish you could share it with more people.
I would use it a lot more, but I can
only share it with fifty p people, so that's a
bit of a bummer. I do a lot of courses,
you know, and I'd love to be able to share
a notebook with all of my course members. But yeah,
unfortunately that's not possible.

Speaker 2 (42:10):
Yeah the yeah, I can see that I can share
them with more.

Speaker 3 (42:15):
I don't like them.

Speaker 2 (42:15):
I can't change the voices and do a little bit
of editing before, like at the end. Because I think
it would be a cool thing. I'd even spin off
a separate podcasting. It's it's podcasts amazing. It is impressible,
big time.

Speaker 1 (42:30):
I like you. I just wish, and I know you
can by third party services, but I wish I could
like upload my voice in your voice and then go, okay,
do the same thing but with these two voices.

Speaker 2 (42:40):
Or even be able to choose like okay, here's thirty voices,
kind of like my I have a couple of tools
I do use. I use dscript. Descript has twenty five
thirty low I can I can use it. I can
trade it on my own. Right, say, it is trained
on my voice. So if my team needs to correct
a sentence by say Apple, and I said it should
have said orange, they don't have to get me to
go get on the mic and say the word.

Speaker 3 (43:01):
Right.

Speaker 2 (43:01):
It's it is trained on my voice. So it is
slightly different, but it's hard to detect into conversation. Right,
I would know that it did it because it's you know,
it's me and my voice, but most people have never
even picked it up. As a matter of fact, there's
actually a show out if you go through our archives
where I interviewed AI back at two Christmas ago, two
years ago, one of the and I interviewed, and I

(43:23):
did it through transcripts, and I used descript to create
the voice, but even my voice is simulated. I thought
it would be cool that, you know, it wasn't just me,
So I recorded my voice turning into grandscript and then
I used the deep fake of my voice and so
it's it's as simulated me interviewing AI about how to
buy insall a company, and it's one of our most

(43:43):
viewed shows. I probably should do it again now it's
been two years later, in the AI is way smarter, right,
But the tools that are out there right now are impressive.
But where do you see in the next six to
eight months or twelve months. I think game's going to
really change as they perfect these agents. I think that's

(44:04):
going to be the game changer, right.

Speaker 1 (44:06):
No, I think the agents are going to be huge,
just because it's going to allow us to give it
an objective and have it go out and create that.
I think that's going to be massive for us. I
also think we're going to continue to see improvements in
the video area and the voice areas. As you mentioned,
you know, video is one of the things that everybody's
very enamored with. For example, I mean, yet you know,

(44:27):
we are not anywhere near the point that you can say,
you know, give me a thirty minute sitcom or for
that matter, a three minute commercial based on a prompt
and a big part of that in my mind. And
I'm not saying I'm in a perfect video guy, but
as in fact, if you watch any video, we get
new camera angles every three to five seconds, so you
need to be doing storytelling and then you need to

(44:48):
do that and it's not one continuous shot, it's multiple
shots put together to create that story. And I do
think we're going to see a change happening there in
probably the next few months. My gut tells me I
could be wrong. But where I can go in and
I can upload a storyline and based on that storyline
that it would create all the various shots necessary and

(45:11):
then compile that into one. We can kind of do
that with AI music now. I mean I can go
into AI Music generators and I can give it the
lyrics I want, you know, and all that, and then
I can give it the style I want, and it
will create amazing songs that don't all sound the same.
So I think that's in video. I think that's one
of the big things we're going to see, is that
ability to say, here's my storyline and probably almost immediately

(45:36):
after that, the ability to almost go in and say,
you know what, I need to write a commercial for
the following. Here's some sample images, here's my audience, and
press go, and three to five minutes later, maybe a
little longer with video because it takes a lot of processing,
we're going to get a commercial that literally close to
being production quality.

Speaker 2 (45:57):
Here's what I would like, and this is in the
agent world. I want an AI.

Speaker 3 (46:04):
That is able to act as a growth.

Speaker 2 (46:07):
Agent for online content. And the way that they would
need to be able to do that is you. I
want you to be able to log in to my
Google analytics. I want you to be able to log
into my YouTube analytics. I want you to be able
to log into all the platforms my LinkedIn. Right, I
want you to be able to see the comments on
the videos and on the on the messages, the number

(46:28):
of downloads and all that, and then strategically make suggestions
for improvements.

Speaker 3 (46:35):
Right.

Speaker 2 (46:35):
There's no tool currently that can do that like a lot.
You know, it's a human thing too. You know, I
have multiple monitors and sometimes I have like my Google
Analytics up with my you know, YouTube analytics with this
and trying to figure out what you know, cause and effect,
the correlation of how do how do we get more
eyeballs on this type of stuff. That said, I think

(46:55):
that that's an ideal thing for complex datus sets where
you're looking at multiple platforms, multiple uh and you know
even you know, analytics and multiple data sets of data
and then give suggestions, right yeah, And for the common
user like you or me that doesn't you know, it

(47:16):
doesn't want to go spend a billion dollars to develop
an I do it. I think it's coming down the
I don't see one yet, but I think it's coming
fairly quickly. Where you can go, you know, I'm a podcaster.
Here's my podcast, here's my YouTube channel, here's my Apple
here's you know, all the different things. Here's you know,
my user names and passwords. To get into all of them,
because I don't care if it's as long as it's day,

(47:38):
I I trust, you know, get crawl through all of these, uh,
make suggestions, look for you know, look for guests. Here's
my fifteen competitive industry you know, people who they're interviewing,
look at their guests here.

Speaker 3 (47:52):
It just crawl through the stuff.

Speaker 2 (47:54):
It either suggest you know, suggests, show suggests comments, I
think it's coming, it's just not there.

Speaker 1 (48:00):
Yeah, No, I agree. I mean we're seeing new things
coming out literally as you know, almost daily.

Speaker 2 (48:06):
Uh.

Speaker 1 (48:06):
And again that's one of going back to kind of
where we started. It's one of the reasons I really
focus on the main models from you know, Chatchypet from
open Ai, You've got Claude Fanthropic, You've got Gemini from Google.
If you're watching those three models and what's happening, there's
very little happening in at least in the large language

(48:27):
model world. There's very little happening outside of those three
that's not unique to one of those, if that makes sense.
In of the words, they're generally leading that charge. Again,
I think on the image, in the video side, the
music side, there's definitely some more changes happening there. But
it's a yeah, I agree with you. Going back to
your analytics example, you know AI in general, it's great

(48:50):
at data analysis. One of my most interesting stories and
I need to get an update on it. But a
few months back I read an article that they've taken
all of the diabe these research that we've done since
the nineteen fifties and put it all together and had
AI analyze it, and they believe they're testing right now.
From what I understand, they believe they may have identified

(49:11):
a cure because not that we didn't have the data,
but we'd never connected the data necessarily because of course,
you've got thousands and thousands of different research papers and
research that's been done from disparate people, and it's just
beyond our human capacity as a general rule, unless you're
going to pay somebody to figure it all out, and
then they're going to fall asleep. So you know, AI

(49:32):
doesn't do that. So data analysis like you're talking about,
I think will become one of the most common uses
of AI over the next few years.

Speaker 2 (49:43):
Yeah, I mean there's and we talked. I mean I
use my show as an example, but every business has that.
There's every business has a set of data across multiple
platforms that if they could just correlate better or even
you know, competitive or rasure right, you know, to be
able to have a tool or an employee out there
that says your job is to track these six competitors.

(50:05):
You know, tell me when they're up, you know, if
they update their website or if they have a press release,
or if any content comes out what's going on and
you know, summarize all that and give me the highlight reel. Right,
most of us get so busy in our business as
we really don't look out for that, and we miss
a lot of ideas and people beat us in the
market to certain things that you know, you might think, well,

(50:27):
I had that idea four years ago and never acted
upon it, or I never even thought that would work
inside of my business. And here's this guy who's doing
what I'm doing, but now he's making four times work.
Is he added x y Z to be an early
indicator tool to what happened was happening inside of your
own business and what's happening inside of your market what
your competitors are up to is a very time consuming

(50:48):
human task to do. But AI, I think could just
nail it and just you know, you could have a
bot that that's its whole job is to generate a
daily or a weekly market you know summary.

Speaker 1 (51:00):
Uh yeah, well, and that's I think where again, you
combine that with the agents and giving them the you know,
here's the type of stuff I want, and think of
the ability for you and I to create essentially a
custom dashboard on anything in our business or anything in
the world that we want to know. And when we
get back to kind of the whole purpose of business growth,

(51:20):
I think that that's where AI is really going to
have some leverage because it's going to the great minds
and business that can think about, here are the things
that I need in order to drive the growth of
this business as the CEO or the CEO or even
the sales manager at that point. To be able to
pull that data together and have that so readily available

(51:41):
with actionable insights, are going to allow the companies that
do that, I think, to really leap ahead of the competition.

Speaker 3 (51:48):
Yeah, the we'll go back to that notebook got on them.
I use it for that.

Speaker 2 (51:52):
So one of the things that notebook got AMAS great
at is I can take I think up to three
hundred sources some some huge number looad PD after after PD,
after after PDFs. So here's a good case. I had
so many cam to me and says, hey, you know,
I do some consulting for equity where I help companies
grow through acquisition. And somebody came through and said, hey,
I'm in the crypto space. We do X, Y and

(52:14):
Z on the blockchain, not like coins and stuff, but
they make blockchain software. I want to buy, you know,
companies and stuff, but we want to mergers and acquisitions.
Guy who's really into and knowledgeable in the crypto and
wants to be involved in everything blockchain. And I was like, well,
first of all, I'm not that guy. He said like, well,
if you're interested, I'll give you some time to learn it.
I so, I'm not even sure I'm interested.

Speaker 3 (52:34):
In it yet.

Speaker 2 (52:35):
So what I did is he gave me some documents
and some research papers and some other stuff that he
used to learn it, about ten PDFs and said, here's
some stuff to look at. I went and out found
another ten or fifteen. I shoved it all into notebook LM.
It created a twenty six minute podcast style interview where
all I had to do is sit there and listen
to those two computer voices, which is really good. They

(52:55):
actually have.

Speaker 3 (52:56):
You can hear them breathe when they're thinking and everything.
It's fair.

Speaker 1 (52:58):
Oh yeah, it'dible what Google's done there. It really is.

Speaker 2 (53:02):
But it's just like so it's just sitting there like
I'm driving down the road, you know, going to one
of my destinations. I had this file saved off, so
I had. I just hit play and I listened to
you know, twenty six minutes intro to basically crypto, tech,
blockchain and everything else.

Speaker 3 (53:15):
And I knew some of it.

Speaker 2 (53:16):
I'm a tech nerd, but uh it gave me enough
insight where I just had to look at the tell
of the guys said like, this isn't something I'm going
to dive into. All right, there's uh you know I did.

Speaker 3 (53:26):
I did.

Speaker 2 (53:26):
I did my research. I you know, I really you know,
I didn't read all your documents. I fed it to
I told him, I fet it, I gave had it.
I told him what I did, and I said, just
not something you know, it's not a lifestyle I want
to pick up at this point in my life. Right
because for what he wanted, you need somebody that's just
passionate about this, that said, you can learn almost anything.
If you wanted to, like learn you know, psychology, you

(53:49):
could tell quite literally take fifteen or sixteen stile to
call it your thirty three hundred psychology papers and you know,
research on your topic and shove them into this tool
and it will spit out a twenty to twenty five
minute podcast deep dive in all those research papers in
an interesting tone. So I use it as a speed
learning thing to learn new areas and just to explore

(54:12):
things to see if I'm interested.

Speaker 1 (54:14):
I should think that's an incredible hack with AI. I mean,
it's what a great tip to do if you're like me.
I know, I'm an auditory guy, so I love to
listen to things like that, and the ability again to
do that and create that. So simply combining that even
with deep research. Now imagine going in and you know,
using Google has a great deep research tool that's available

(54:35):
to Gemini, picking a topic, having AI give you five
or ten types of things, feeding that in the notebook,
and then creating that twenty to twenty five minute again
essentially exploratory instructional podcast that you could listen to to
just determine do I want to dive deeper into this?
How many things have been presented to us over the
years and we're like, yeah, maybe maybe not, but the

(54:56):
time it would take to find out if we're interested
doesn't exist in our lives, and so we don't do it.

Speaker 2 (55:02):
Yeah, Like there's plenty in time. Other way out in
the Redwood for us is a twenty minute drive to
go anywhere. So if I can prep a twenty minute
you know, lesson to put on my phone to listen
to and how we're hearing aids. So it's literally I
just put them on the phone and turn it on
and they're in my ears. I don't have to put
on a headset. I don't have to like connect my
phone to the car and let make everybody listen to

(55:22):
some scientific study or whatever. So it's very common for
me to have some PDF in my you know, on
my phone.

Speaker 3 (55:27):
It's in playing in my hearing aids.

Speaker 2 (55:29):
But that said, we are coming across about the fifty
five minute market. Tell people more kind of what you do?
What type of you mentioned a couple of times, courses
and in groups. Let's let's talk about kind of you know,
what do you do to service the community of business
owners who want to use AI to grow or to
implement in their business.

Speaker 1 (55:50):
So, as an individual and a company, we really do
two things. We well three, We give away a ton
of free information because we want and really believe that
AI needs to be accessible. We've got a community of
about a half a million people that we talk to
daily about AI and AI prompting. We then do a
lot of what we call group coaching where we pick

(56:11):
a topic about AI, we put the course up for
sale and we do that. We do two unique ones
of those every single month. And then for those people
that go, wow, these are really cool, but I need more,
I want to dig in. And we have an AI
Mastermind program that we bring business owners and leaders into
to work with them directly in a group setting, but
directly with me to figure out how do we implement

(56:34):
this inside of our businesses, how do we leverage that?
And I'm a huge believer that it's one thing for
the executive team to leverage it, and it's important, but
more monumental sometimes to the bottom line is actually taking
the one hundred employees you have with the fifty employees
and saving them each thirty minutes a day, and the

(56:54):
amount of productivity that can be gained and or at
that matter, just literally given back to the employees as
some breathing room in between all the tasks. Because I
have yet to meet anybody at the end of the
day that has more time than they do tasks.

Speaker 2 (57:09):
Yeah, it truly has helped me get a lot more done.

Speaker 3 (57:12):
So it's cool. So how do people find this stuff?

Speaker 1 (57:15):
Really simple? Just remember my name it's Jonathan Mask. They
can go to Jonathanmass dot com slash link tree, or
if they forget the link tree, just Jonathanmass dot com.
That's MST. If anybody's not hearing me clearly, or if
you're watching us, you know, like you, we both have
some beautiful white mains and they can remember white Beard
strategies and that'll bring them right to my website as well.

Speaker 3 (57:38):
Awesome. I love the white Beard strategies.

Speaker 2 (57:40):
So all right, cool, So if somebody could think of
or if you want to, somebody's listened to the podcast,
they're interested in getting started, but they're just not sure.

Speaker 3 (57:50):
What would be the three biggest.

Speaker 2 (57:52):
Takeaways you'd want them to understand about AI and growth
of businesses.

Speaker 1 (57:57):
One AI is not going anywhere. It's not a fad
here to stay. Two AI does not have to be complicated.
In other words, you could literally from your computer or
your phone before you do anything else after listening to
this podcast, you could use it to save you a
few minutes or maybe a lot of minutes that easily.
It is not complicated. And the third part is you

(58:20):
don't need to do it perfectly. In fact, you shouldn't
try to do it perfectly because you will get burdened
with overwhelm. Instead, use the tools that you have today
in order to take and literally take some massive impact
on your business, on your life, and just on enjoying
things in general and focus on that instead of searching
for perfection.

Speaker 3 (58:42):
Awesome.

Speaker 2 (58:42):
Well, I appreciate you in your time that I appreciate
the time you spent learning this industry, even though it's
really new. I understand, I get it. I get it
what it takes to take on something new, dive into it,
become an expert in it and be able to help
others with it. That there's some time commitment to that. Now.
I acknowledge you for taking the time it took to

(59:03):
think you be resourceful to your community.

Speaker 3 (59:06):
I appreciate it.

Speaker 2 (59:07):
I know what's involved in that. That said, I think
we'll wrap this up. We'll call a show.

Speaker 3 (59:11):
Hangout for a few minutes, and we'll call it a show.
Sounds Great Sponsored by du Dilio.

Speaker 2 (59:17):
Buying or selling a small business, assembling the right team
is essential and that's where du Dilio comes in. They
work with individuals, independent sponsors, family offices, private equity firms
and small medium businesses helping you build the perfect deal
team for every stage of your acquisition or sale, and
the best part do Dilio's matching service is completely free.

(59:38):
Visit dudilio dot com today and as simble, you're winning
deal team

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E275: How AI is Changing Small Business Forever – Jonathan Mast on Scaling After the Acquisition

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.css-14f5ked{margin:0;word-break:break-word;display:-webkit-box;-webkit-box-orient:vertical;box-orient:vertical;-webkit-line-clamp:2;overflow:hidden;}E275: How AI is Changing Small Business Forever – Jonathan Mast on Scaling After the Acquisition