Episode Transcript
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(Transcribed by TurboScribe.ai. Go Unlimited to remove this message.) Welcome to the Business Credit and Financing Show.
Each week we talk about the growth strategies
that matter most to entrepreneurs.
Listen in as we discuss the secrets to
getting credit and money to start and grow
your business and enjoy as we talk with
seasoned business owners, coaches and industry leaders on
(00:22):
a variety of topics from advertising and marketing
to the nuts and bolts of running a
highly successful business.
And now to introduce the host of our
show, financial expert and award-winning author, Ty
Crandall.
Hello, and thanks for joining us today.
I'm super excited you could be here today.
We're talking about really the most important topic
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of 2025 because it really has to do
with AI.
And if you are not figuring this out
by now, you're going to fall so far
behind that you probably will never be able
to catch up to your competitors.
But the great news is if you're getting
ahead of this, then you can actually leap
ahead of your competitors and do some really
cool things with limited resources that other people
in your industry are just not able to
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do.
So today what we are going to do
is talk about AI-prompting mastering.
We're going to talk about unlocking the efficiency
and growth for you as an entrepreneur through
AI.
And with us today to have this discussion
is Jonathan Mast.
Now since 1995, Jonathan is at the forefront
of digital innovation, blending marketing expertise with app
-cutting-edge technology.
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So over the last two years, he's become
a leading authority in AI-prompting, helping entrepreneurs
and businesses increase profits, save time, and deliver
exceptional value through actionable AI strategies.
So his unique ability to simplify complex AI
concepts has made him a trusted resource for
businesses seeking to integrate AI into their operations.
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Now with a dedicated community of over 400
,000 AI enthusiasts and entrepreneurs comprising 330,000
-plus members in a private Facebook group and
80,000 email subscribers, Jonathan's influence is widespread.
So he is known for his approachable style.
He provides practical tools and strategies that drive
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immediate results, making him an influent voice in
the AI space.
Now Jonathan's experience extends to over 100 podcast
appearances and thousands of trained students showcasing his
ability to connect with diverse audiences, whether through
training, networking, speaking, or consulting, he continues to
empower businesses and individuals to harness the transformative
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power of AI for sustainable and substantial growth.
And again, he has his own podcast too.
So Jonathan, thanks for joining us today.
Well, I'm so excited to be here, Ty.
Thanks for having me.
Yeah.
So how did you, I mean, you've been
in the forefront of digital for a while.
So what made you jump into AI and
go all in to be able to figure
out the type of prompting mastery that you've
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accomplished?
My ADD.
Really more than anything else.
Yeah, I spent most of my career in
sales and marketing, spent a lot of that
running at a digital marketing agency, had an
amazing business.
And when AI came out, I mean, we've
been using AI for a long time.
I shouldn't say that.
I remember literally in my sales career, 25
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plus years ago, flying to LA and getting
the Hertz Rent-A-Car and we had
the little GPS screen and I always had
to rent the one with the GPS because
I didn't know my way around LA.
So that was AI.
We've been using AI in one form or
another for a very, very long time.
But when ChanchiPT put an interface on front
of it and let us start asking it
questions in the end of 2022, that really
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just changed everybody's paradigm.
It was like, whoa, look at this.
We can do all this really cool stuff.
And seriously, I am that ADD visionary entrepreneur.
I'm the guy I was just speaking to
a couple of weeks ago and they talked
about the difference between the founder and the
CEO.
I'm the founder mentality.
That's who I am.
It's what I do.
I'm really bad at pretty much everything else.
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And so when AI came out, what it
really allowed me to do was to get
so much more work done because I could
both fail faster and succeed faster.
And as a result, I'm a fairly passionate
guy.
I'm like, I want to teach everybody I
know about this incredible tool.
And as it was coming out, you're seeing
people basically on two sides.
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You're seeing the hucksters on the one side
leaning next to the Lamborghinis and the Learjets
they don't know and telling you how you're
going to use AI to make millions of
dollars tomorrow.
Bull, you're not.
And you've got the other side of people
going, it's evil.
And we can't, you know, we don't want
to touch it.
And I'm like, guys, let's be pragmatic here.
This is an amazing tool.
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And when used properly, it can so incredibly
amplify the skill and the experience of the
user that it just still to this day,
I've been doing this now for over two
years, still blows my mind, the things that
it allows us to do, the amount of
time that we can save and the value
candidly tie that we can add to our
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audience.
And as a business owner, what's better than
that?
The ability to save time and add more
value to our clients at the same time.
I love it.
And I see two camps developing with AI.
I see that we're using it.
Let me put it that way.
One camp is just figuring it out.
They're in there just typing in things and
getting a result and thinking they're crushing it.
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And then the other one is learning prompting.
They're really learning these advanced techniques.
What's the difference between these two camps?
Because the people that aren't really learning advanced
prompting techniques, they think they're doing a pretty
good job.
But how far is the bar raised from
people that are your students that are really
learning the advanced mastery of this prompting?
Well, I'd love to tell you it's an
incredibly difficult process, but the reality is most
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people don't take the time to learn how
to communicate.
And while AI is not sentient, I don't
care what type of relationship we have, whether
it's a work relationship, a personal relationship, anything
else, it relies on communication.
And how we communicate with the AI makes
a huge difference.
And again, it's not sentient.
It's not some being that can do anything,
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but it is a language model and it's
based upon natural language processing.
So the words we use and how we
ask it to do things absolutely makes a
difference in the quality of the results we
get.
We've all heard the phrase, garbage in, garbage
out, and that holds true probably more than
anywhere else when it comes to AI.
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And so what we teach people how to
do very simply is instead of falling for,
oh, let me buy a list of 487
prompts for my industry, or I saw one
literally yesterday, 10,003 prompts that I could
buy a list.
It's like, you've got to be kidding.
You know how long it would take me
to look through even a list of a
hundred?
Instead, let us teach you a prompt framework
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that's four steps that you can use for
virtually any question that you have or any
need that you have and get a great
response back from ChatGPT, from Claude, from Gemini,
whatever model it is that you want to
use.
And that's the other thing is everybody's like,
well, do I need to prompt differently because
I'm using a different tool?
No, let's teach you how you can use
a model that works anywhere and gets incredible
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responses.
So I want to talk about before, but
before we do, you mentioned several different types
of AI.
What do you like in the most right
now?
Or do you find that what you use
depends on the purpose you're trying to use
it for?
I subscribe to pretty much all of them.
People are always like, Jonathan, what are the
AIs that you subscribe to?
Pretty much all of them, because part of
my job is to analyze them and to
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use them and to test them.
The average user probably just needs access to
one tool.
And I'm really agnostic as far as which
is best, because it's probably the one that
you have in your toolbox.
In other words, may one be a little
bit better than the other?
Sure.
It could be for different cases and everybody
has their passions.
Kind of like Ty, if we were talking
about cars, you may drive a different brand
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of car than I drive.
And I'm sure I'm adamant about why I
drive the brand I drive and you vice
versa.
But if we go to dinner on Friday
night, guess what?
We're both going to show up and get
there.
It doesn't really matter what brand of car
we have.
And AI is kind of at that point.
They're all going to get us where we
need to go.
Some may do it a little bit better,
a little bit faster, but they're all going
to get us there.
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So if you have access to ChatGPT or
to Google Gemini or to Claude or to
Lama or Grok or any of these that
are popular, any of the popular models, whatever
you have access to will serve you just
fine until you've gotten really comfortable and mastered
it.
One of the biggest mistakes I see people
making, Ty, is they go, oh, I need
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the perfect tool.
No, you just need an AI tool.
You don't need the perfect AI tool because
they're all going to get you inside your
target and that's where we need to start.
So DeepSeek, that's hit the news and that's
really blown up.
And people just seem to be blown away
with it.
So is DeepSeek that much better than anything
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that we've seen so far?
Great question.
No, in my experience, DeepSeek's not any better
than the current models that are out there.
What really seems to have got everybody's attention
was two things.
One, DeepSeek's free.
And of course, everybody loves free.
So you can use it for free.
You don't have to pay for any subscription.
You can just go out and use it.
And that's made it incredibly popular.
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It is a very good model.
It works very well.
Their big claim to fame, so to speak,
is that they were able to leverage other
AI tools and techniques to build DeepSeek for
about one-tenth the cost that it cost,
let's say, open AI to build ChatGPT.
And they were able to do it very,
very fast.
So it's a good model.
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If we stay out of the political discussion
about the fact that it's based in China
and that definitely triggers some people, and I'm
not here to weigh in on that.
I don't really care where your perspective is.
It's a good model.
It gives good results, but it is not
the best model.
But again, it's probably the best free model
that's out there, if that makes sense.
You had mentioned, I think, four prompts or
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a framework consisting of four things.
Can you expand on that model?
Absolutely.
So let's face it, when we go to
AI, we're typically asking it a question.
We want it to help us achieve an
objective or solve a problem.
And I find if we give it four
steps in our prompt as we're communicating with
a tie, it's going to give us great
results.
The four steps are really simple.
First, we need to tell AI what type
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of expert it needs to act as.
Two, we need to give it context.
Three, we need to ask it our question.
And four, we need to ask it to
ask us clarifying questions.
And the reason for all this is AI
has been trained on essentially every book in
every library around the world and a lot
more.
And if you can imagine if there was
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such a thing as one library that held
every book in the world, can you imagine
how massive it would be?
It'd be probably bigger than some countries.
And yet, if you walked in the front
door and were looking for a book on
a particular topic and nobody could guide you
to the sales section or the marketing section
or the fantasy section, you'd never find anything
because it'd be too big.
Now, AI is fast and it will find
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things.
But if we can tell it right away,
I need you to go to this section
of the library, it gets there that much
faster.
And it helps keep it in context.
Because it knows so much information, one of
the problems with AI is that sometimes it
runs off the rails and gets distracted.
It's almost like it has the same ADD
that I do.
And it's like, oh, hang on.
I saw this neat rabbit.
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I want to talk about that.
But you didn't ask me about rabbits.
So by giving it direction, that helps.
And that's why we tell it what type
of expert it should act as.
The second part is the context.
If you and I are working on a
project, Tai, I'm not going to walk up
to your desk and go, let's say you're
great at writing press releases.
Tai, I need a press release.
And turn around and walk away.
Because you're going, hey, Jonathan, I got some
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questions.
No, no, no, Tai, you're an expert.
You figure it out.
But that's what we do with AI all
the time.
We assume it's an expert.
It can read our mind.
I can just give it, write me a
social media post.
And then it writes one.
And I'm like, well, that was crap.
I didn't like that.
Or my favorite one is, write me a
blog post.
Because we all know we should probably blog
more.
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And we don't want to do it.
It's hard to do.
And then we read it.
And we're going, well, not only did that
stink, it wasn't right.
It wasn't on topic.
It was short and blah, blah.
Because we didn't give it any context.
And so we need to give the model
context related to the question that we're going
to ask.
And then we need to ask it our
question.
And then the reality is that AI is
programmed well.
Again, it's a bunch of zeros and ones.
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It's programs.
That it knows what variables it should have
in order to do the best job.
And so if we say, hey, if essentially,
Tai, if I forgot to tell you something,
or if you've got any questions, just ask
me.
Then you as the expert in writing a
press release can go, hey, Jonathan, you didn't
tell me these three things I really need
to know.
And so if we were using AI to
write this press release, the prompt would sound
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like, you're an expert press release writer who
specializes in connecting with various audiences.
I need to write a press release for
a new product launch that I have coming
in my business.
That product is going to be X providing
value, Y to audience Z.
Write my press release and ask me any
questions you have.
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When we put that together as the prompt,
now the AI is going to analyze and
go, okay, I'm supposed to, I'm an expert
press release writer.
I know what I'm supposed to do.
I'm going to write a press release.
Jonathan's giving me some information.
Okay.
He's giving me an audience.
He's giving me a product.
He's giving me that.
He didn't happen to tell me who his
company was though.
So hang on.
What am I going to do about that?
Well, by asking it to ask me questions,
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it'll then come back and go, okay, Jonathan,
this is great.
What company are you, by the way?
Because maybe you forgot to tell me that,
or what's your contact information you want included?
Or do we want to add this into
the press release?
So it then understands what needs to happen.
It'll generally come back with three to five
questions.
We can answer those questions.
And then the response that we get out
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of that, Ty, it's so much better because
it's on target.
It's on track.
And we did that probably as opposed to
sitting down, downloading a sample press release template,
because I don't write press releases all the
time, reading four or five of them to
get a feel and in the flow, and
then trying to cobble one together on myself.
An hour and an hour and a half
later, I've written an okay press release.
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Instead, I've used AI and I've probably done
it in two to three minutes.
And it's probably better than what most press
release writers would write because it's already been
trained on all that.
Then we just need to proof it, edit
it, tweak it, and publish.
So in that, if we ask it questions
or it does questions, it says it does.
We answer those questions.
Do we ask it again?
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Or because sometimes when we answer the questions,
it prompts more questions.
But I think that could send us into
an endless loop.
Or do we just do it once?
What questions do you have?
Answer the questions and then have it give
us the answer.
Great question.
So you can tell AI to even skip
the questions it asks you.
It's going to fill in the blank.
That's going to make assumptions.
Keep in mind, we know what happens when
we assume.
We then resemble that south end of a
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northbound mule.
So we want to make sure that we're
not doing a lot of assumption.
And it's not good when AI does that
either.
But to your point, don't get caught in
the habit that it's a one-prompt thing.
I shouldn't hope to get the...
This is not a slot machine where I'm
hoping I pull the perfect lever and I
get the perfect response every time.
Sometimes, just tie again, if you and I
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were collaborating on a project, we need to
do what?
We need to collaborate.
We need to have a conversation.
When AI responds in a way and you're
like, well, that's not exactly what I was
thinking.
Tell it.
Well, thanks, but that's not what I was
thinking.
I was hoping you'd do this instead.
Or I was looking for this.
And because it's a natural language model, it's
trained on natural language, you can literally talk
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to it much as you would anything else.
You can type if you want.
I'm a big fan of using my transcription
service.
So on a Mac or a PC, it's
really easy to assign a hotkey to this
little thing, this microphone.
And the beauty is I can literally...
And now a quick break to hear from
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(15:53):
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Prompt it by talking to it and it
automatically will transcribe my voice.
And guess what?
That's natural language and it tends to respond
really well to that.
Not to mention it is so much faster.
Now, I want to point out I'm not
using the voice mode where it's talking back
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to me.
I'm literally just using the transcription capabilities of
my device, my phone, my computer, whatever, to
communicate.
You don't have to do that, but it's
faster.
It's just really interesting.
You know, my sister's a teacher, grade school
teacher, and she said she's just seen this
big shift of where people are asked questions
now, the students, and now they try to
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think about where to go to get the
answer instead of figuring out the answer.
It's interesting because I have two teenagers and
they just yell out into the world questions,
right?
Oh, yeah.
It's interesting because something comes up and they'll
just say, Surrey or whoever they're talking to,
Alexa, to get the answer.
I've never even thought about that before.
So it just makes me think of where
we'll be in five or 10 years because
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you're literally in a world where you just
literally shout out in the world what you
want and then you get any number of
different responses to solve problems.
It's just so intriguing where we are right
now.
Oh, yeah.
And I think we're only going to continue
to see advances there.
I don't.
My crystal ball is cracked and cloudy, but
I absolutely think five years down the road,
we're going to be in a situation where
we have devices not dissimilar from our cell
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phone, but they might be a pendant that
you wear on your neck.
It might be a pen that's in your
pocket, whatever.
That literally is full-time connected to the
cloud, the web, the internet, and that you
can at any point in time go, how
do I get to Pizza Hut from where
I'm at?
And it would literally, with GPS, I know
it would tell you, yes, you can do
that in your car now, but imagine not
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having to do anything other than go, hey,
Siri, and it does that for you or
any question that comes up.
My son's great for that.
We'll be having a discussion.
He's 17.
And in the middle of he and I
discussing it, he'll be like, he'll grab his
phone and, hey, Siri, what happened here?
And he'll go ahead and get the information.
And he's essentially using AI and the web
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to grab that information in real time.
And I think that's definitely an area that
that's going to become so ubiquitous for us
as users that what your sister's seeing is
absolutely going to happen in my mind.
It's not about knowing the answers.
It's about knowing how to get the answers.
And candidly, as an employer, that makes sense
to me.
I would far rather hire someone who knows
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how to find the right answer than someone
that just is a brainiac and has it
all in their head.
Yeah, yeah, I completely agree.
And when it comes to AI, I think
a lot of everybody in our tribe here
is entrepreneurs.
Everybody kind of familiar with the content side,
right?
We write a content for a website or
an email or a blog.
But what other ways are you seeing creative
ways right now that entrepreneurs are using it
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for marketing, for advertising efforts?
I think it's really incredibly well fit for
any marketing and any content.
I'll give you an example.
Literally, the meeting we had, I had before
this was with my web development team.
And I sat down with them and it
was time to make some updates to the
website.
It's probably been six months and things change
and everything else.
And one of the things we identified is
we've dropped one of the services that we
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used to offer.
And so we need to kind of change
the overall tone of the website just a
bit.
Not a massive change, but it's one of
those things, candidly, that when they went, Jonathan,
we need to update this.
And I'm like, oh, great.
One more project to do that I don't
want to have to take time to do.
And then my assistant reminded me that I
have a custom trained GPT model that we
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provide to our students that basically will walk
us through the whole process of our focus
and our mission and our vision and all
that.
And I'm like, well, I got most of
that.
And she's like, yeah, but it's time to
update that for the website.
And so instead of, OK, put it on
my task list.
I'll get to it later.
We literally took 15 minutes.
I had a brief discussion with AI and
it really acted as a consultant for me,
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guiding me through the process.
And I literally started by saying, hey, here's
my website.
I gave it the link.
We're removing some of these services.
We need to update our focus to be
able to be focused on this.
Help guide me through a process so that
I can really get solid in my mind
what this looks like and that I can
help my web development team have the information
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they need to do this.
And we had a conversation over about 10
to 15 minutes.
And it was done.
And my web team literally got to see
it.
I shared the results with them.
And they're like, great, that's what I needed.
So not necessarily marketing in the context of,
OK, I wrote an email campaign, which it
can do, or I wrote ads, which I
can do.
But helping me as an entrepreneur, as a
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business leader and an owner work through one
of those questions, it was really good for
my project team, but was really hard for
my ADD brain to get my mind around.
And now again, in minutes, we had it
solved as would have typically been a year
or two ago.
And yeah, I'll get to it.
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My assistant would remind me every few days
and I'll get to it.
And probably three months down the road, it
still wouldn't be done because I would have
never taken that time because I didn't know
where to start on it per se.
And AI can help with that.
I use it all the time for brainstorming.
I use it for writing emails.
When I, we all have those emails we
need to write.
We need to establish good boundaries.
We want to do it professionally and nicely.
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We can't necessarily say what immediately comes to
mind.
Well, AI is a great way to do
that because I can take that email tie
that you sent me.
I can give it to ChatGPT or any
model.
I can tell here's how I want to
respond, but make it sound nice.
And it'll then do that.
And again, instead of me spending 10 minutes
writing that email, I spent three minutes writing
it.
And you may go, Jonathan, big deal, seven
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minutes.
Yeah.
But when you do that 10 times a
day, you just saved an hour.
And now you've got an hour every day.
And if you've got a team and you
can empower your team to do that, even
a small team, and let's say five or
10 people, they all save half an hour
a day on a team of 10 people.
That's five man hours, woman hours, work hours,
person hours, however we want to say it,
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of productivity and work that we've just gotten
back.
And we've got it for free.
We can either give that back to our
employees to let them think a little bit
more.
We can use it to give them more
time to focus on the things that actually
we need them.
And again, keep in mind, AI amplifies skill
and experience.
So the more experience and the more skill
you have, the more it can help you
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leverage that skill and experience to save time.
What do you think are practical strategies to
use AI to help a business grow and
scale?
Because I see people that get their idea
from AI of the business to launch.
Hey, how do I make $10,000 this
month?
And whether it's all real or not, they
don't know.
You see it out there.
It's saying, hey, I want to make $10
,000 a month.
What's the best way to be able to
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do it?
And then AI will say, okay, we'll start
this kind of business and do this kind
of thing.
So for somebody that already has a business,
what are some things that we should be
doing with AI to figure out how to
basically evolve and how to be able to
grow and how to be able to use
it to kind of help our business scale
and become more profitable?
The first thing I do is I literally
sit down and ask it to interview me.
I would say, I want you to act
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as a professional business consultant to help me
grow and scale my business.
I want you to interview me and ask
me a series of questions to learn everything
that you need about me so that you
can understand me and my business and give
me real actionable steps that I can take
to grow our revenue.
Ask me one question at a time, go.
And it's going to probably ask you 20
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or 30 questions and it will dynamically respond
to what you're doing.
And then when it's done, it'll say, great,
I have enough information now.
Here's what I recommend or here's some thoughts
or ideas that I have on how you
could grow your business.
So that if you haven't used it much,
that's where I would start.
On the other hand, if you use it
a lot and you're like me, maybe you
just have ideas sometimes.
So it happened to me yesterday.
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I woke up in the morning.
I have a Facebook group that you mentioned.
We just passed 350,000 people and I'm
like, I want to do something fun and
I want to see how we can make
this work.
And I want to, I do a lot
of trainings.
I'm like, let's do a free training.
And I'm like, man, free trainings are great,
but they take a lot of time.
Normally my trainings are about 150 bucks.
What would happen if I sold one for
10 bucks?
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That'd still be a huge value to my
audience.
And I'd never thought of before.
Literally, this is before I've left my bedroom
for the morning.
So I grabbed my phone and I explained
my concept to it.
And I said, Hey, this is my idea.
We just hit 350,000 members in the
group.
I want to normally, normally I would do
a free training.
It takes a lot of time and an
effort.
I'm instead of charging 150 bucks, how about
(24:40):
we do this for $10 and we make
it just different enough that it works.
Everything made sense.
I'm like, great.
Now I need to, I need, here's what
I want to teach on.
I grabbed a popular post that I'd had
and want to teach on that.
Here's what I want to do.
I need a landing page to do it.
Darn, I need a product description so I
can actually put this up and put it
for sale.
I need an email sequence so that we
(25:01):
can send the emails out.
Now I need a social media post that
I can post and everything else.
So I did all of that with AI
in about an hour.
And I launched that last night before I
went to bed.
And as of three minutes ago, we've had
474 people give us 10 bucks for an
offer that I thought about and put an
(25:22):
hour into yesterday.
Now, is that some massive moneymaker and going,
Oh my gosh, no, but there's an extra
five grand in revenue that we were able
to bring in because I had an idea
that two years ago, Ty, would have remained
an idea and nothing would have happened because
of the amount of time and energy it
would have taken to launch this and it
just therefore wouldn't have happened.
But now throughout the day, and it wasn't
(25:44):
like an hour block.
I literally did it between meetings.
About an hour, everything was created for this
entire campaign and it was launched in, we've
got seven days to go yet.
Who knows where we'll be.
So as a business owner, those are things
I want to encourage you to think about
using AI to do instead of just having
the ideas and go, Oh yeah, we should
talk about that.
Actually talk to AI about it and get
(26:06):
its advice, get its direction.
And you'll find as again, as just one
example there, you can do things that maybe
you'd never done before.
And now I'm expanding my email list.
I'm adding value.
People are loving what we're doing.
So we're creating goodwill.
We're adding value.
And at the same time, we're adding a
little revenue at the same time.
So it's a, I guess I'd ask this,
(26:26):
which of us as, as business owners, if
we knew we could invest an hour and
it would probably generate a few thousand dollars
a day over a seven day period for
us.
So let's say over seven days, we'll probably
bring in 15 grand or so.
Who wouldn't among us to invest an hour
to do that?
There's probably somebody who has a podcast that's
making buku bucks and it has three Lamborghinis.
(26:48):
And it's like, Hey, no problem.
That's not worth it to my time.
I drive a minivan and I live in
a nice house, but it's not that great.
If I can make 15,000 bucks in
an hour, I'm all in, let me know
how to do that.
Because maybe then the next time, even better,
I can now teach somebody on my staff
to do what I just did.
And so the next time I have an
idea, I give it to maybe one of
(27:09):
my ops people.
I have two amazing operational people and I
give it to one of them and I
go, okay, now you take this idea, follow
what I did with AI the last time.
And now you do it.
Now, maybe it takes them two or three
hours to do, but it still gets done.
And as the visionary founder entrepreneur that I
am, I got to have the idea.
That's what I'm good at.
And they were able to, in just a
(27:31):
few hours, bring that to fruition and execute
on it.
As opposed to again, a year ago or
two years ago, it would have just never
happened because of the hours and the time
and the busyness that embodies us.
What do you see as emerging trends happening
with AI right now?
I think a couple of major things are
(27:51):
coming up.
One is just the speed in which it's
going to be able to get us information
that's accurate and relevant.
I think we're going to see a lot
of changes right now.
AI does what we call hallucinates on occasion.
So it basically makes stuff up.
And why?
Because it's been trained on, if you ever
go to the bookstore and there's six books
on a topic and they don't all agree,
well, AI has been trained on all six
(28:11):
books and nobody told it which one was
right.
So it gets confused sometimes.
The other area I think we're going to
see a lot of change in is a
new thing that just came out called deep
research.
And if you can imagine, you need to
research a topic type, whether it be for
a speech or anything else.
In the past, we might do that, take
hours to go ahead and do Google searches
and compile stuff and put it together.
Maybe if we were fortunate, we had a
(28:32):
team member that could do that.
It would take them hours.
Now I can go into chat GPT or
other tools and in about 10 to 15
minutes, I can have the AI go do
all of that research and bring back to
me a 15 to 20 page report on
that information.
That's something that didn't exist in December.
It does exist as we're recording this in
March.
And so those types of tools I think
(28:53):
are going to continue on as well to
just give us the ability as particularly as
entrepreneurs to lean in and leverage some of
those kind of arduous tasks that were there.
And that fits into the third part, which
is what we call agentic AI or agents.
Now, instead of having one prompt and getting
(29:15):
a response, we have the ability to go
out and actually say things like, I need
you to go out to my website every
day and I need you to look at
all the people that sent me a form
or whatever.
And then I need you to craft a
unique email and I need you to look
up their LinkedIn profile.
So when it sees that Ty sent me
a message on my website, it goes out
to LinkedIn and it looks at your LinkedIn
(29:36):
profile and it creates a customized message back
to you about the topic that you're inquiring
about or whatever it is.
And it can do all of that and
then even send it.
It can do all of that automatically as
part of a sequence.
And that's getting called agentic AI.
And I think we're going to see some
massive advances there this year.