I Spent 90 Minutes Building One Prompt — Now It Saves Me 2 Hours Every Time: The Power of Prompt Engineering (Part 3 of 8)

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This is how it, this is how it
happened for me.

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I was trying to create chapters
for one of our podcast show.

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The tool we, we use to record
with it, It gives you some

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chapters, but it's very limited.
So I searched the, I searched

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YouTube like everybody else on,
you know, how, how do I get

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chapters, You know, for a
podcast transcript.

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I found a guy's video and he, he
basically walked you through how

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he does it.
He had this prompt that he

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created for ChatGPT that spits
out perfect chapters for your

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video.
And I said, OK, well let me

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check this out.
And I opened up the prompt and I

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looked at it and I was like, Oh
my God, there was so much in

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this.
It wasn't just a one line

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question.
And that's when it hit me that

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OK, this too can do way more
than respond to A1 line

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question.
But if you wanted to come out a

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certain way, a certain format,
repeatedly, you have to be able

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to understand how to engineer
the prompt, the question

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correctly.
So the way you framed your

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prompt, it's going to depend on
the response that you actually

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get and how efficient it is and
how well it is and on point it

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is.
So, and another thing, like at

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least in ChatGPT, you can enable
memory.

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So what does that mean?
That means the ability for

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ChatGPT to remember your
conversations in the past so

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that everything you do in the
future, it can always refer back

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to it so that it's not starting
over from scratch again, right?

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You know, But these are settings
that you have to set.

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I don't think that automatically
comes turned on, right?

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And then, you know, you can
create your saved prompts.

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So again, the way we question
ChatGPT, you know, the questions

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that we put in is called a
prompt.

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So you probably need to
understand that you can save

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your prompts, you know, for
things that you have to do that

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are repetitive, right?
So I have, and I probably have

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like 20 different prompts for
different things that I need to

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get done because I took some
time to really like.

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I mean, I remember one time I
spent an hour and a half

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perfecting a prompt to get the
outcome that I wanted it to be.

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But now, you know that
investment, that hour and a

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half, and that's not for
everything, right?

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So I don't want to choose
anybody to think that oh man,

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I'm gonna have to put all this
time in it.

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Now I was trying to get a very
complex outcome and in order for

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me to do that, it took me an
hour and a half to finish the

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prompt.
But now every time I use the

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prompt I'm done in like 2
minutes or used to take me.

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Can you dig into that?
Can you dig into that man?

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Because honestly, that's
something that I haven't since

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you've been sharing that with me
and I've been trying to analyze,

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OK, what do I do on a daily
basis that I can, that I can

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create a prompt for?
Can you give us a use case,

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something that, that, that you
can share around what, what

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you've done?
And I, because I would love to

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hear a little bit more about
that because you're a little

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bit, you're a little bit more
advanced in that area than I am.

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So I, I, and I'm sure other
folks are like, man, really?

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So yeah, yeah, let's dig into
that.

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Sure, sure, sure.
So, so this is how it, this is

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how it happened for me.
I was trying to create chapters

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for one of our podcast show,
right?

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So the two we, we use to record
with it, it gives you some

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chapters, but it's very limited.
So I searched the, I searched

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YouTube like everybody else, you
know, on, you know, how, how do

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I get chapters, you know, for a
podcast transcript.

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And I found a guy's video and I,
and I'll link it in the show

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notes.
And he had, he basically walked

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you through how he does it.
He basically goes to this one

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website, he puts in the URL of
the video and then it creates A

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transcript from that.
And then you download the

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transcript.
And then he had this prompt that

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he created for ChatGPT that
spits out perfect chapters,

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right?
You know, for your, you know,

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for your video.
And I said, OK, well, let me

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check this out.
And I opened up the prompt and I

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looked at it and I was like, Oh
my God, there was so much in

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this.
It wasn't just a one line

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question, right?
He had a role, he had context,

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he had instructions, he had
exactly how he wanted the output

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to look.
And that's when it hit me that

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OK, this too can do way more
than respond to A1 line

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question.
But if you wanted to come out a

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certain way, a certain format
repeatedly, you have to be able

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to understand how to engineer
the prompt the question

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correctly, right?
So then I took it upon myself to

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go to LinkedIn learning and I
decided to take a prompt

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engineering course, which we
will let.

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We'll also LinkedIn the show
notes for anybody who wants to

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take it.
And when I did that, it changed

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forever how I will ever use Gen.
AI because the power in Gen.

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AI is your ability to ask it the
right question, right?

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You can give it a one line
question, just like Google,

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right and get a very generic
answer, or you can give it a

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detailed prompt and it can
create something amazing, you

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know, for you, right?
So, so now you know, even for

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our our episodes now I use that
same, I use the same process,

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right?
The show is done, I get the

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transcript, I use it in that
prompt and ChatGPT gives me

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perfect chapter numbers.
And what does that do for us?

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That enhances you, the listeners
ability to interact with this

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video.
Maybe you don't want to listen

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to the whole video.
We understand that.

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Maybe you just want to get to a
certain place in the video.

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Now, because we have these
detailed chapters, because I

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think the platform we use it,
Terry only gave us about 3 or 4

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chapters.
Now I got 10 right, So we got 10

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well crafted chapters that you
can click on and get to any

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point in the in the video that
you want to make the experience

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better for you, right.
I've gone as far as to create

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prompts to do things like
analyze the transcript itself

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and tell me where the the most
engaging points are in the show.

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So we can use those for our
shorts videos, right?

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You know, so it, it'll look
through it and use his own

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intelligence to figure out these
are the points that you want to

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go ahead and pull out, right.
And make those in the shorts.

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And these are the reasons why
you want to do it, right?

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You know, that's awesome.
Yeah.

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It's it, it's, it's, it's
unlimited, right?

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That the, the, the capability is
unlimited, just depending on

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which it what it is that you
want to do.

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So I think what you do is you
first understand prompt

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engineering, right?
You know, so that's the

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difference between saying, you
know, write me a report on Q2

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versus write me a one page
executive summary on Q2

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performance, highlights, wins,
challenges, next steps in a

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confident but concise tone,
right?

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You see the difference between
those two?

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You give it a lot more context,
right?

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You tell it exactly how you
wanted the outcome to be, the

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output to be.
It accelerates your ability to

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get things done.
And then the greatest, the

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greatest part about it is you
can save it, right?

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Put it in a note somewhere.
So the next time you need to do

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this, all you got to do is just
copy and paste and put it in and

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bam, you get exactly what you
want.

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You don't have to come up with
this idea all over again, if

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that, So what?
Happens.

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Yeah, it does.
It does so so Ralph, you know

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this coming out of school many,
many years ago for me, I came

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out of school of programmer,
right.

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And So what I hear in that is
this is what's amazing and this

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is back in the days in COBOL,
man, you have to have SYNTEX.

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It was COBOL and and FORTRAN.
What else that I called in C++

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me just it's and the reason I'm
bringing these terms up is

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because it was a special
language.

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You guys get to actually create
a program using natural

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language.
Yes, yes, yes.

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That is a made look if I had a
period or semi colon out of

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space.
I didn't define a variable right

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man that that that program was
bombing out.

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Took hours to hours to just find
out Man I missed the period.

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You got.
To be kidding me but the fact

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that you can do this now with
natural language, you can start

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your prompt off with good
morning if you want to that's.

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Right, that's right.
That's.

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Right, say good morning.
How's your day going?

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Yeah, yeah, right.
So the fact that you can use

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natural, natural language to do
that is, is, is just amazing,

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man.
No, thank you for sharing that.

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I'll tell you another example,
right?

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So here's something we, we
recently launched with the

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podcast is if you go to our
website,

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leadershipsovereignty.com and
you sign up for our newsletter,

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right?
If it's your first time going to

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the website, it'll pop up in the
window and you can just enter

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your information or you can just
Scroll down to the bottom of the

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website and enter your, your
e-mail information.

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If you sign up there, you will,
we will send you a e-mail, a

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newsletter each week after we
release a new episode, right?

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And that newsletter contains,
you know, all the pertinent

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information about the show.
This is what we know.

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We know that most of you all who
are consuming this content

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typically are doing it when
you're in transit, right?

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You're in the road, you're on
your way to work or your way

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home, you working out all of
these different things.

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One of the things that, you
know, that really kind of struck

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me was because I listen to a lot
of podcasts too, is that man,

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he, he, he mentioned the
website, but I don't have time

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to write it down.
I'm, I'm, I'm, I'm driving,

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right?
Or he mentioned this book or he

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mentioned this tool or anything
like that.

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And you can, and you always got
to go back to the website, to

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the podcast later to go try to
extrapolate that information,

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right?
So what we decided to do was

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create a newsletter each week,
if you sign up for it, that's

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free, that actually summarizes
all of that stuff for you,

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right?
It gives you, you know, summary

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of the show the the key, the key
points a link to where you can

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click on to get to the show if
you need to go access it again

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later.
It includes any book references.

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It includes any people
references, any tool references

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with links that you can go ahead
and click on just to really, you

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know, make it a lot easier for
you right?

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Well, how am I doing that?
I'm doing that with a prompt,

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right?
I'm able to put the the

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transcript in ChatGPT along with
this custom prompt that I just

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created, right?
Give it a few variables, right?

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This is the, the, the URL to
the, to the show website, I

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mean, to the, to the show
episode.

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This is the guest, right?
You know, this is their name,

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right?
You know, to make sure they all

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match up and it'll go through
that transcript and create a

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beautiful newsletter that I'll,
all I have to do is just copy

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and paste and send it out to all
of our subscribers, right?

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You know, which would take me
probably 2 hours to write on my

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own, right?
And I get it done in a second.

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Yeah, yes, yes, I'll tell you.
I'll tell you right here's

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what's happening, right.
And I appreciate this, our

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ability to engage you guys, a
lot of it is driven by Gen.

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AI.
Even the platform that we

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leverage right there are things
that inside the platform,

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platform, sorry that we are
leveraging Gen.

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AI to do where when we first
started doing this, we were

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like, bro, are we going to
better keep this up?

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Not bad.
Look.

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How we're going to keep this up?
Well, we started embracing

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greater Gen.
AI and are the platform that we

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leverage start leveraging Gen.
AI right?

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And it it was perfect timing for
us and our ability to keep this

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going because we are limited
manpower.

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So feel free to donate.
That's a, you know.

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And thank you feel.
Free to donate because we have

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limited manpower, but with that
limited manpower, we are

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leveraging the technologies and
tools that are at our disposal

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00:12:21,360 --> 00:12:24,920
so we can bring you this
valuable content.

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00:12:24,920 --> 00:12:29,200
Because again, this was all
driven by the fact that when we

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00:12:29,200 --> 00:12:31,760
were coming up through the
ranks, there was no one to

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00:12:31,760 --> 00:12:34,600
really share this kind of
information with us.

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00:12:34,880 --> 00:12:37,560
No, no, no, nobody.
And, and, and the blessing was

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00:12:37,560 --> 00:12:39,400
Terry and I had each other,
right?

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00:12:39,400 --> 00:12:41,640
Because that is true.
As we were going through this

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00:12:41,640 --> 00:12:43,240
stuff, we were talking to each
other about it.

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And it's like, Mandy, Can you
believe this?

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00:12:45,320 --> 00:12:46,920
I can't believe I just had to go
do this.

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00:12:46,920 --> 00:12:47,680
Yeah, yeah.
OK.

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00:12:48,320 --> 00:12:50,240
We, we, we, we got, we got to
figure this one out.

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00:12:50,240 --> 00:12:52,360
And we just go from the, the,
you know, one topic to the

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other.
But to Terry's point, we brought

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00:12:54,800 --> 00:12:58,560
this show together just so we
can give this information to you

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00:12:58,720 --> 00:13:01,440
to save you time, right.
So that you can use these

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00:13:01,440 --> 00:13:05,200
leadership principles to level
up on your career, right?

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00:13:05,320 --> 00:13:08,000
To lead with power and
authority, right, which

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00:13:08,080 --> 00:13:11,280
ultimately leads to promotion,
which ultimately leads to more

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00:13:11,280 --> 00:13:13,520
compensation, right?
You know, so that's that's the

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00:13:13,520 --> 00:13:14,880
whole reason why we're breaking
this to you.

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00:13:15,760 --> 00:13:18,520
But and so and so raffle what
you're doing, right?

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00:13:18,520 --> 00:13:22,800
I'm so glad that you've taken
that plunge because what, what,

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00:13:22,800 --> 00:13:27,040
what really what's happening
here is our ability to touch you

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00:13:27,040 --> 00:13:33,240
at different modalities has
increased right now we can we

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00:13:33,240 --> 00:13:35,040
can get to you on YouTube,
right?

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00:13:35,040 --> 00:13:39,120
Well, first we started off at
just, you know, it was Spotify

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00:13:39,120 --> 00:13:43,040
and and and Apple, yeah, iTunes,
right.

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00:13:43,560 --> 00:13:48,200
Well, with the, with the advent
of and our exposure to these AI

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00:13:48,200 --> 00:13:51,880
tools, now we're able to do, you
know, there's a website out

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00:13:51,880 --> 00:13:54,760
there, right?
There's, there's a newsletter

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00:13:54,760 --> 00:13:58,120
and there's just better
engagement with the podcast.

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00:13:58,200 --> 00:14:02,040
And So what it's done to to to
our earlier point is

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00:14:02,040 --> 00:14:04,360
supercharged that's.
It that's.

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Supercharged leadership,
sovereignty, so.

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00:14:06,680 --> 00:14:09,200
That's and just just a quick
plug, you know, based on what

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00:14:09,200 --> 00:14:12,360
Terry said, right, For those who
don't know, you know, there are

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00:14:12,360 --> 00:14:14,840
a lot of podcast creators out
there who that's all they do

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full time.
Terry and I got full time jobs,

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00:14:18,000 --> 00:14:19,440
right?
I have a full time job.

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00:14:19,440 --> 00:14:23,120
Terry is the CEO of business
keeps them, you know, constantly

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00:14:23,120 --> 00:14:27,600
busy, right?
We are able to produce this

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00:14:27,600 --> 00:14:30,880
content only because of the use
of these tools, right?

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00:14:30,880 --> 00:14:33,360
You know, to Terry's point, when
we first started to do this and

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00:14:33,360 --> 00:14:36,240
everything was manual, we
questioned whether or not we

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00:14:36,240 --> 00:14:38,680
could even continue to move
forward, right, because it was

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00:14:38,680 --> 00:14:41,520
taking so much of A strain.
Because remember when we first

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00:14:41,520 --> 00:14:43,800
started, we were posting shows
twice a week.

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00:14:44,320 --> 00:14:49,000
Yes, Oh my gosh, that was.
It was a grind it.

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00:14:49,560 --> 00:14:52,120
Was a grind.
It was a grind.

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00:14:52,120 --> 00:14:57,040
So so you know, real case
scenarios on how we're using AI

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00:14:57,400 --> 00:15:00,640
to enhance and super and
supercharge what we do, right?

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00:15:00,640 --> 00:15:02,720
So we're trying to give you some
examples, right?

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00:15:02,960 --> 00:15:06,040
You can fit that into whatever
it is that you do, right?

279
00:15:06,040 --> 00:15:09,400
But it definitely, if you are
interested in becoming a content

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00:15:09,400 --> 00:15:13,400
creator, this is going to be the
your, your your Co creator, so

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00:15:13,400 --> 00:15:15,560
to speak.
You know that that that piece

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00:15:15,560 --> 00:15:19,000
that can help you create faster.
And but here's The thing is

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00:15:19,000 --> 00:15:21,520
though, RAF, everybody's a
content creator.

284
00:15:22,240 --> 00:15:24,960
Yeah, in their own right.
Everybody is right in your own

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00:15:24,960 --> 00:15:27,000
right.
It just depends on what you

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00:15:27,000 --> 00:15:28,720
know.
Everybody's got a report,

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00:15:29,240 --> 00:15:30,880
everybody.
And here's the other thing right

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00:15:30,880 --> 00:15:33,760
now, rap we, we haven't gotten
into this, but remember we talk

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00:15:33,760 --> 00:15:39,360
about those metrics, your
number, this right here can

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00:15:39,400 --> 00:15:43,320
supercharge your numbers.
Oh, you know what?

291
00:15:43,320 --> 00:15:45,320
So yeah, let's just dive into
that for a second, right?

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00:15:46,160 --> 00:15:48,840
Let's let's, because we always
talk about, let's give an

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00:15:48,840 --> 00:15:51,080
example that's not in a
technical field.

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00:15:52,880 --> 00:15:58,600
You may, let's just say you have
to pack boxes for a living and

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00:15:58,600 --> 00:16:01,120
you have to pack boxes of
Peaches.

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00:16:01,720 --> 00:16:05,120
OK, so you know, your job is
just to come in there and pack

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00:16:05,120 --> 00:16:08,120
your boxes of Peaches.
Your boss may say, hey, I need

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00:16:08,120 --> 00:16:11,600
you to get, you know, X number
of boxes done today.

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00:16:12,240 --> 00:16:16,120
OK, so you come in and you only
focus on that one thing, packing

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00:16:16,120 --> 00:16:19,960
those boxes of Peaches for that
day to hit that number, right?

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00:16:19,960 --> 00:16:24,320
You know, but what if you can
take a tool that says, OK, this

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00:16:24,320 --> 00:16:27,200
is what I do.
I pack Peaches in this box for

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00:16:27,200 --> 00:16:31,840
this manufacturing company.
Help me to track, you know, the

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00:16:31,840 --> 00:16:35,640
metrics to show exactly the
value that I bring to the

305
00:16:35,640 --> 00:16:38,520
organization.
And then help me understand how

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00:16:38,520 --> 00:16:42,360
what I do exactly.
You know, it helps this company

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00:16:42,360 --> 00:16:44,840
to make money.
It will start to explain to you

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00:16:44,840 --> 00:16:49,600
that, OK, by packing this many
boxes of Peaches everyday, you

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00:16:49,600 --> 00:16:53,000
pack this many per week, which
is this many per month, which

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00:16:53,000 --> 00:16:56,360
means the organization can sell
so many Peaches, right?

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00:16:56,360 --> 00:16:58,480
Which increases its profit by
this.

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00:16:59,000 --> 00:17:01,840
Now you understand from the from
the, from the dollar that the

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00:17:01,840 --> 00:17:04,760
company made all the way back to
what you do, you know exactly

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00:17:04,760 --> 00:17:07,960
how important it is.
Now you can start to ask it, OK,

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00:17:07,960 --> 00:17:11,319
so I'm actually packing the five
boxes a day.

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00:17:11,599 --> 00:17:14,000
What would happen if I packed
seven boxes a day?

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00:17:14,280 --> 00:17:16,359
And it will tell you in real
time, you would increase the

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00:17:16,359 --> 00:17:19,920
company's profit by this right
now imagine being able to go

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00:17:19,920 --> 00:17:22,800
back to your boss to say, Hey, I
think I found a way to go from

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00:17:22,800 --> 00:17:27,520
packing five boxes a day to 7.
And it would increase the ROI,

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00:17:27,720 --> 00:17:30,320
you know, on these Peaches by
12%.

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00:17:30,680 --> 00:17:32,360
They're going to look at you and
say what?

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00:17:33,560 --> 00:17:36,200
And, and, and think about
thinking, now think about this.

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00:17:36,200 --> 00:17:37,680
I'm, I'm going to keep going
back to this.

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00:17:38,240 --> 00:17:41,240
Think about how that boss is
going to look at you versus the

326
00:17:41,240 --> 00:17:45,200
person who's not doing right,
the one who just want to make

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00:17:45,200 --> 00:17:49,360
five boxes in a day.
Just I just want to put that

328
00:17:49,680 --> 00:17:52,000
that weird pause there so you
can think about that for a

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00:17:52,000 --> 00:17:56,800
second because a pause can be
really loud sometimes.

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00:17:56,800 --> 00:17:58,560
We know that, don't we?
See yes.

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00:17:58,760 --> 00:18:02,360
Yes, silence is powerful.
Silence is powerful, But now I

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00:18:02,360 --> 00:18:06,880
want you to think about who on
your job is using Gen.

333
00:18:06,880 --> 00:18:10,600
AI to come up with these kind of
metrics, and are you doing

334
00:18:10,600 --> 00:18:16,320
anything for yourself, right?
It's a very, very powerful tool

335
00:18:16,720 --> 00:18:18,760
and the barrier to entry is is
0.

336
00:18:19,200 --> 00:18:21,040
Anybody can start using these
tools for free.

337
00:18:21,040 --> 00:18:24,040
You can go to Gemini, you can go
to ChatGPT and sign up for a

338
00:18:24,040 --> 00:18:27,240
free account.
But let's let's talk about some

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00:18:27,240 --> 00:18:31,000
of the dangers that come along
with using Jen I because we've

340
00:18:31,000 --> 00:18:32,840
talked about a lot of the
benefits, right?

341
00:18:33,160 --> 00:18:36,920
A lot of benefits there.
The first one is called

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00:18:36,920 --> 00:18:41,400
hallucinations, right?
So you know, hallucinations are

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00:18:41,960 --> 00:18:44,720
confident answers, but they are
false answers.

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00:18:44,720 --> 00:18:48,200
So what I what I mean by that
again, Gen.

345
00:18:48,200 --> 00:18:53,320
AI is not intelligent in itself.
All it does is try to predict

346
00:18:53,320 --> 00:18:55,560
what the next word should be in
a response.

347
00:18:56,320 --> 00:19:00,120
This is why every response that
it gives you, you have to read

348
00:19:00,120 --> 00:19:03,840
it.
You cannot ask it to produce

349
00:19:03,840 --> 00:19:07,480
something for you and just
blindly accept it as being

350
00:19:07,480 --> 00:19:10,760
accurate and being true and then
pass that off as your work.

351
00:19:11,880 --> 00:19:14,880
Gen.
AI goes through this, this

352
00:19:14,880 --> 00:19:17,400
condition called hallucinations
from time to time.

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00:19:17,680 --> 00:19:19,320
It doesn't do it every time,
right?

354
00:19:19,560 --> 00:19:22,160
You know, a lot of actually, in
my experience, until you speak

355
00:19:22,160 --> 00:19:25,320
on this too, Most of the time
it's pretty accurate.

356
00:19:25,680 --> 00:19:28,360
But every now and then, every
now and then, it'll do a

357
00:19:28,360 --> 00:19:31,000
hallucination where the
prediction of the next word was

358
00:19:31,000 --> 00:19:33,400
wrong, right?
And what it says doesn't make

359
00:19:33,400 --> 00:19:36,680
any sense.
So This is why it is mandatory.

360
00:19:36,680 --> 00:19:39,520
All right, Please, please,
please, listeners, listen to

361
00:19:39,520 --> 00:19:41,800
this.
When you ask Gen.

362
00:19:41,880 --> 00:19:46,040
AI to create something, you have
to review it and make sure it's

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00:19:46,040 --> 00:19:47,880
accurate.
And, and here's the thing about

364
00:19:47,880 --> 00:19:51,200
that.
Let's say it's 98% accurate.

365
00:19:51,200 --> 00:19:54,640
It's only 2% off, OK?
You change to 2% and you're

366
00:19:54,640 --> 00:19:56,960
done.
And versus you having to figure

367
00:19:56,960 --> 00:20:00,200
out 100% of that on your own
brainpower, right?

368
00:20:00,200 --> 00:20:01,280
Yeah.
Terry, you want to talk about

369
00:20:01,280 --> 00:20:04,000
that a little bit?
Yeah, I think again, right.

370
00:20:04,000 --> 00:20:08,760
We've talked about it earlier.
It is trust but verify, right?

371
00:20:08,760 --> 00:20:11,240
You do.
So I'm listening to this guy.

372
00:20:11,240 --> 00:20:13,320
His name is Chris.
I don't remember his last name,

373
00:20:13,320 --> 00:20:16,840
but it's a a podcast I like to
listen to.

374
00:20:17,320 --> 00:20:21,680
And honestly, he kind of changed
my life with this statement.

375
00:20:22,440 --> 00:20:26,200
He said, I don't believe what
anyone says is true.

376
00:20:26,880 --> 00:20:31,280
Now, let me let me let me frame
the context of that right?

377
00:20:31,440 --> 00:20:33,880
And so the context of that is
this.

378
00:20:34,280 --> 00:20:40,040
We use words and we will believe
that my understanding and

379
00:20:40,040 --> 00:20:44,440
definition of that word is the
same meaning and definition that

380
00:20:44,440 --> 00:20:46,760
you have for the word.
And so he gave an analogy.

381
00:20:46,760 --> 00:20:49,680
He said, I'm going to ask
everybody in the room to draw a

382
00:20:49,680 --> 00:20:53,360
knife.
And, you know, we would think

383
00:20:53,360 --> 00:20:56,000
that, OK, everyone knows what a
knife is, right?

384
00:20:56,360 --> 00:20:59,280
He said, well, based on where
you are in your life or what you

385
00:20:59,280 --> 00:21:01,120
do, you're going to draw a
different knife.

386
00:21:01,120 --> 00:21:03,440
He said.
So someone with kids, they're

387
00:21:03,440 --> 00:21:05,680
probably going to draw like a
butter knife, right?

388
00:21:05,680 --> 00:21:07,960
Because they're not going to
have something that's danger in

389
00:21:07,960 --> 00:21:10,280
the house, right?
Someone who's a hunter, they're

390
00:21:10,280 --> 00:21:14,400
going to draw like a machete.
Someone who is into fishing,

391
00:21:14,400 --> 00:21:16,400
they may draw like a Swiss Army
knife.

392
00:21:16,880 --> 00:21:23,320
So meaning that you have to ask
the questions to get down, to

393
00:21:24,080 --> 00:21:28,240
drive down to, to unify everyone
on the same page, right?

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00:21:28,800 --> 00:21:31,600
Thank you for listening to the
Leadership Sovereignty Podcast.

395
00:21:31,880 --> 00:21:35,000
If this content blessed or
helped you in any kind of way,

396
00:21:35,360 --> 00:21:39,400
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397
00:21:39,400 --> 00:21:42,000
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398
00:21:42,000 --> 00:21:44,000
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399
00:21:44,720 --> 00:21:48,480
Until next time, stay safe,
peace and blessings.