Best of 2024 - Building a Media Empire with Matt Wolfe - Hustle & Flowchart: Mastering Business & Enjoying the Journey

Episode Transcript
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(00:00):
you can actually 100 do really wellwith SEO with AI generated content.

(00:05):
Google does not give a crap andnot only does it not give a crap,
it has no way of knowing whetheror not your content was generated
with AI or handwritten by a human.
No way of knowing.
I know there's AI detectors out there.
They suck.
They don't work.
They're not as accurate aseverybody believes they are.

(00:25):
Yeah.
I want to pull out one of the mostpopular episodes this year and rerun it
for y'all because it was super impactful.
Not only to you guys, butto me, it's one that I.
Thought a lot about, and it's closeto my heart because it's also one
of my best friends, Matt Wolfee.
Now he used to be the cohost ofthis podcast, Hustle and Flowchart.

(00:48):
And for a lot of years, and nowhe is deep into the AI news world.
He's kind of like the ne AI news guy,you know, he's the go-to guy, almost
700,000 subscribers there and YouTube.
Millions of people going tohis website, future tools.
I O and in this episode, what we didis we broke down how he's done all this

(01:09):
stuff, how he's built out the YouTubechannel, his website, how AI and AI
content can help you generate, butalso automate so much in your business.
And he literally breaks down all thetactics, you know, how the guy works,
and if you don't follow him on YouTube,you know, definitely go do that.
But you're going to enjoy thisepisode before you get in there.
I want to shout out the Delphi, DigitalMind clone that you've seen, maybe.

(01:34):
Or you've heard me talk about,but I want you to test it.
That's the big thing.
So hit pause right now.
Go over to your browser and type inhustle and flowchart.com/clone C L O N E.
That gets you to a page it's totally free.
You can interact text, voice,or video with my AI twin,
and it has this digital mind.

(01:55):
The second mind that's trainedon every episode and YouTube
video and content I've put out.
you can interact with it and actuallycustomize it to your situation, your
business scenario, whatever you're tryingto learn or engage or think about really.
This thing will understand you.
Like I'm a human, you're ahuman and, and it's, it's crazy.

(02:16):
You just got to try it out for yourself.
So hustle and flowchart.com/clonewill get you there.
Enjoy this episode withmy good buddy Matt Wolfe
Mr.
Lobo, Mr.
Matt Wolfe.
How are you,
Mr.
Fierro, uh, or, or as Icall you, Jose Fierro.
That's it.
it feels like home.
Yes.
Back at it.

(02:37):
to have you.
And of course we are probably gonna, Idon't know how long this episode will go.
We do have a hard stop,which is probably good for
everybody here.
probably
cause we've already been chatting forlike 40 minutes without recording.
Yeah.
uh, I if, if, if, uh, if wecould, we'd probably do like Joe
Rogan style four hour episodes.
Yes.
Yes.
Well, that's what, so we're doing.
Oh, we didn't, we never did that.

(02:58):
I think our longest was
like two and some changeback in this show.
I feel like we might've done like one ortwo, three hour episodes, but we broke
it up into like two parts if we did.
Everybody thinks us for that . Yeah.
But so you're back for those, the, theminority or maybe majority, who knows,
um, that, that know or don't know you?
This is Matt Wolfe.
He was my co-host for manya years starting off the

(03:20):
Hustle and Flowchart podcast.
And, um, you?
know, we've been
partners on various thingsover the last, I don't know,
15 years or whatever it's been.
I don't know.
I stopped counting.
I'm like this show, I waslooking at the sign over here.
You can't see it.
I was like 2017.
Cause I've been saying likeseven years, eight years.
I'm like, no, it's nineyears just for this podcast.
yeah,
damn.

(03:40):
That's crazy.
Yeah.
I mean, I know both of us sort of quitour day jobs, So, to speak in 2009.
So we've both been full time.
Uh, let's just say entrepreneursfor the last 15 years.
There it is.
So yeah, it's, I mean, it's crazy.
So brother from another mother, we'vealways shared a lot of thoughts,
different types of brains collaborate.

(04:01):
And that's, what's always been fun to jam.
And that's
what like.
It doesn't feel like we skip a beat,even though we're doing different stuff.
Um, you're, you've, you know obviouslydone some awesome things on YouTube.
A lot of people follow you forthe AI stuff as they should.
And if you're not look up MattWolfe, W O L F E on pod on YouTube.

(04:22):
Um, future tools.
I mean, it's referenced all the time, youknow, for AI kind of database, finding
what you need, cool tools out there.
Um, I just feel like you'velike, you've found the thing that
you've wanted to do for so long.
Yeah, no, I think, I think that's true.
Like I've always been asort of tech nerd, right?
Like, uh, probably as long as you'veknown me, I've always been like a early
adopter, get all the gadgets, play withall the toys, uh, test all the software.

(04:46):
Right.
Like that, that was, I feel like inthe early days of creating content,
people always came to me for like, whatWordPress plugin should I use for this?
What tools should I use for this?
What's the best like funnel builders?
People kind of always looked at me as theguy that just played with all the toys
and like knew which toys did what, right.
But at the same time, I wasalways really into content, right?
We had the hustle and flow chart podcast.

(05:07):
I had a YouTube, my first YouTube videoI ever published was back in 2009.
Um, you know, we were doing blog contenttogether, so I've always loved content
and I've always loved tech and gadgets.
And I feel like when AI started tobubble up, you and I kind of talked
about AI, like really early, right?
Back in 2021 or so we were talking about.
Uh, things like Jasper, which, uh, evenbefore that, when it was conversion AI

(05:31):
and then Jarvis and then Jasper, right.
So we were talking about AI, I feellike way early before anybody else was.
Um, and then, uh, I really startedto get into AI because of like all
the sort of visual stuff, stablediffusion, mid journey, like all of the
cool, like AI art stuff, and whenall the AI stuff started to bubble
up in the mainstream, I kind of foundthat thing that was like, all right,

(05:53):
I get to make content about the
stuff that I'm really enjoying now.
And I found that sort of like Venndiagram overlap of like, this is,
this is my jam now, and I think it.
I don't know people for whatever reason,I still don't understand it to this
day, but for whatever reason, peoplegravitated to it and enjoy the content.
What do you think it is?
Like, have you figured out why you
Uh, no, I asked that question constantly.

(06:14):
Like I have no idea whypeople enjoy my content.
Like I actually, when I'mmaking my videos, I, in my
head, I'm usually thinking like,why would anybody watch this?
I don't, I like, I, I don'tactually think my content is good.
So I'm always surprisedthat people watch it
and leave good comments.
Um, but I don't know, is that ifthat's just like a, I'm too close
to my content, so I don't really

(06:34):
see.
Um, you.
know, a lot of times I feel likeI'm talking about stuff that to
me is just like, well, I like,everybody already knows this.
Like,
why am I even making a video about it?
Everybody already knows it.
And then I put the video out andeverybody's like, oh my God, mind blown.
I didn't even know that existed.
And so I think a lot of it is, um, I, I,
I can speak based on the feedback I'vegotten from other people who watch my

(06:57):
going to ask you.
Yeah.
Like, uh, based on the feedback, peopleseem to like the sort of excitement,
the like, uh, sort of little kid onChristmas opening a new present energy.
Like, Oh, look at this new thing.
This is awesome.
Like, how do I, how are people
not talking about this?
Like that kind of energy, um, combined
with
totally keeping my finger on thepulse, probably to a level that

(07:19):
most people aren't willing to do.
Well, that's what.
I think that's a goodfeedback that they're giving.
And I think it's honest tolike, you're not boring.
Like if it was just you talking head, noediting, you know, maybe screen capture
tutorial, like you would still do.
pretty well, I think, you know, becauseyou've, you've always been great at that.
Uh, but then with the quick cuts, withthe B roll, with all of these other,

(07:42):
like little silly thing, you know,things that'll pop up or sound effects.
Like.
Yeah.
Okay, now you just took it up that extra,I don't even call it like extra 20%.
I feel like it's waymore for YouTube, Like.
engagement wise.
you know, you and I, we both beenin the digital marketing world
for 15 plus years at this point.
Right.
So it's like, we learned all the littlelike marketing tricks to grab attention.

(08:04):
Like.
When I, when I'm thinking of titles formy YouTube videos, it's exactly the same
as thinking of subject lines for emails.
Like what is the thing that's going to getsomebody to click this email and open it?
Well, what is the thing that'sgoing to get somebody to click
this YouTube video to watch it?
Right?
So like all the sort of copywriting andintrigue and persuasion and all that
kind of stuff that we learned is all.

(08:27):
The same for digital marketing that we didfor 15 years that I'm doing in YouTube.
Right.
Um, when it comes to creatingvideo content, um, it's all the
same strategies we've learned overthe last 15 years of like making
sure there's pattern interrupts.
How do you hold the tension?
How do you, um, you know, how do Imake sure that I'm teasing out what's

(08:48):
going to come later in the video?
How do I open loops?
It's like, All of the same stuffthat we use when writing copy for a
sales letter can be sort of appliedover to YouTube videos, pattern
interrupts, hold the tension, uh,open loops, all that kind of stuff.
And so I'm constantly thinking about thatstuff when I'm making YouTube videos,
I'm thinking of it as like, okay, I'vegot this, uh, sort of pool of information

(09:10):
that I want to share in this video.
How do I make it a entertaining
And B, uh, make peoplewant to keep watching it.
How do I make it so that, um, you know,three minutes in, they're not already
like glossing over and, and bored of
it.
Like that's where the patterninterrupts come into play.
That's where the openloops come into play.
Right?
So I'm, I'm just applying all themarketing skills that we've learned

(09:31):
and all the contentcreation skills that we've
learned and just mashing them alltogether around the topic of AI.
Yeah.
And you've done that well.
And I know the last episode we recordedhere, I don't know, six months,
maybe plus it's been a little bit,but, uh, we, we talked about that,
like how it was like the three partsof making a great YouTube video.
it's basically title,thumbnail hook, right?
Yeah.

(09:51):
Anything changed on that regard?
No.
Okay.
much exactly the same.
I mean, title thumbnail hook.
Uh, in fact, I even think that focusing onretention is less important than it used
to be.
I
Retention in the video.
in the video.
Yeah.
I think it's less important thanit used to be because I think.
Um, people have gotten overwhelmedand sort of, they're just over what we

(10:16):
call retention editing and retention.
Editing is essentially likequick cuts, fast motion move.
Like Mr.
Beast has been like, peoplehave used the term, the
beastification of YouTube, right?
The beastification of YouTube islike editing for retention, where
it's all quick cuts, fast yellingat the camera, lots of B roll,
lots of texts on the screen, uh,you know, explosions, like just.

(10:37):
So much happening at once where yourbrain is just like, uh, overloaded.
Like, oh my
gosh, there's all, yeah,there's a lot going on.
I can't look away.
Right.
Um, and I think peopleare kind of over that now.
And there's been this shift back to likewhat YouTube was like 10 years ago, where
it was more, um, like personal, right.
The Casey Neistats, the,um, uh, David Dobrik's,

(11:00):
the, like the vlogger style wherepeople are just sort of sharing
insights into their daily life.
You look at people like, um, moistcritical or penguin Z zero, right?
His videos are just like a dudetalking to the camera and commenting
on like, whatever the latest news is.
And he's one of the most popularYouTubers in the world right now.
And he's literally just like faceto camera commenting on stuff.

(11:22):
No retention editing whatsoever.
And he's one of themost popular YouTubers.
There's another YouTuber named Sam Sulekright now, who's in the fitness space.
And his videos are often an hour longand it's him just talking to the camera
and like taking his camera to the gymand showing his workouts and stuff.
And so some of the most popular YouTubersright now have started moving away
from that retention editing and sortof building a bond with the audience.

(11:45):
Like when you're not trying to.
When you're trying to do retentionediting, you don't really build a bond.
You're just going and making thesevideos that are fast and keep moving
and try to like overstimulate the brain.
So people want to keep watching,but people don't necessarily
fill a bond with the creator.
When you sort of get rid of thatretention editing and you just, um, focus

(12:05):
on being a real person, focus on beingthat dude that other people want to
go and sit down and have a beer with,
right, that sort of
content is what's rising to the
top at the moment.
So I've been kind of
leaning into that.
Um, and I feel like that'ssort of my natural way of
creating content is just like, I'mgoing to like, you know, me, right?
The way I talk when
I'm being recorded is exactly the sameway I talk when I'm not being recorded.

(12:28):
Yeah, you, you are really good at thatand you have been for a long time.
Like you just have that excitement.
It legitimately is that kind ofgiddiness and that comes through.
And, um, like for me, I've had towork on it over the years where I'm
like a lot more subdued, but thenit's like, no, hold on, you know,
and, but now it's, it's feels natural.

(12:48):
Um, well, how have you changed?
Like to be, I guess your videosor like to have more of that bond,
like what shifts are you making?
Uh, so a lot less
cuts, right?
so I think a lot of people, whenI first started making AI videos,
I think a lot of people thought Iwas trying to do retention editing,
but that was never really like
my focus, I wasn't trying to edit to like

(13:10):
keep like viewers attention.
Um, my edits were because Ijust cut a lot of stuff out.
Um, so if you watch one of myYouTube videos, it might be anywhere.
I mean, I think I try to averagethe videos around 20 minutes.
Sometimes there'll be a little longer.
Sometimes there'll be a littleshorter, but the, if you saw the raw
video before I did any editing, it'sprobably an hour and a half long, right?

(13:31):
I'll flip on the camera and I'll talk foran hour and a half and then I'll go in
and I'll do like, all right, that's fluff.
That's just me rambling.
That's me.
I already said that early in the video.
I can cut that.
Cause that's just redundant.
Right.
And so I'm cutting all that stuff out.
And when I cut it all out, itstarts to look like it's choppier
and sort of edited for retention.
But that's really me just liketrying to cut out the fluff.

(13:52):
Well, I think what's changed is I'vegotten better at just not putting
the fluff in, in the first place.
So I don't have to cut it as often.
Right.
I think.
I think it's just been a, amore of a, like a practice thing
where I
don't necessarily needto cut as much because
my brain is getting betterat getting to the point, not

(14:13):
duplicating itself, not repeating myself
and just saying what needsto be said and moving on.
And so it starts to feel like I'm doingless and less of the retention editing.
But it's just, I'm gettingbetter at speaking on camera.
There you go.
Yeah, it's definitely practice.
I came across here with,uh, with podcast stuff.
I know this has been practiced for bothof us over the years doing this show.

(14:35):
And, and I know it's made meimprove as a speaker and, and
just, I think confidence, right?
Like you just catch these ums or uhs orfiller words that naturally you might
say, and I definitely still catch them.
But the power of editing, you still,you know, editing, AI editing,
especially is, is quite easy and great.
These days.
Um, just kind of thinking, okay, so,and I love the, I think of lifestyle.

(15:00):
It's like, it's bringingthe human connection.
Like, you mentioned bond and communitybecause that's the case of like, for
course, creators, for instance, actuallyhad a Marissa Murgatroyd back on here
recently.
And, you know, it wasfive years before that.
And, and even Sean Cannell, he was saying,he's like the big thing with courses
and anything you're selling digitalproduct, like you need to have community
and, and it goes for media as well.

(15:22):
Like, how do you, So you have youremail list, but it's like, I tell,
talk about the community side and,and I, kind of have some ideas, but
I want to hear how you're doing it.
So I, I put a big focus earlyon when I started the YouTube
channel on discord as well, but
I think so discord and X areprobably where I focus on
community the most.
Um, if I'm being totallyhonest, I don't pay as much

(15:44):
attention to the
YouTube comments as I used to.
Um, when it comes to YouTube comments,what I've sort of learned is that.
Very similar to people wholeave reviews on restaurants.
They'll typically only leave a reviewif they have a bad experience, not
when they have a good experience.
Right.
So like a lot of times you'll see reviewsand, um, you got to take them with a
grain of salt because most people thatdidn't like their experience are the ones

(16:07):
that are most likely to leave a review,the people that liked their experience,
they're just, they just go on with theirlife and, you know, don't feel the need
to go, you know, Talk about it, right?
YouTube comments are very, very similar.
People tend to only leave comments ifthey disagree with something you said.
Right?
So most of the time I'll post a YouTubevideo and the comments are 90 percent

(16:29):
the people that had something to disagreewith something I said in the video.
But that's like.
3 percent of the people thatactually view the video that
actually leave the comments, right?
The other 97 percent enjoyed thevideo and went on with their life.
So for that reason, I actuallydon't really pay a whole lot of
attention to the YouTube commentsanymore saying that I do have a team

(16:49):
member that actually reviews them.
And if somebody is like leaving good,valuable feedback, that is like,
could help me improve the videos.
They're pointing me to it.
If people are saying goodthings about the video.
Um, like they're, they'rehelping me with that as well.
There's also AI tools out therenow that can do like sentiment
analysis on your YouTube comments.
Um, but most of the community buildingthat I do is on X and inside of discord.

(17:11):
And the way I do it is I just try tomake myself as approachable as possible.
Like if people.
At me on Twitter or X, I prettymuch replied to everybody.
I'm reading the comments.
I'm replying, uh, same with discord.
If somebody is asking me a questionin discord, I get in there.
I'll answer the questions.
I'm not reading the entire sortof feed that's going in discord.

(17:31):
We've got 15, 000 members in there now.
So like the feed is just too hardfor me to keep up with, but I do
have team members that are like, Hey,this person just asked a question.
You should jump in andanswer it real quick.
And I will.
And so I think the community elementof it is really just me saying
like, Hey, look, I'm a real dude.
I'm here.
Come ask me questions.
Come talk to me.
Like let's interact.

(17:52):
Um, I go to a lot of events, right?
I was at augmented world expo theweek before recording this right now.
Um, the week before that Iwas at a Cisco event in Vegas.
The week before that I was inSeattle for a Microsoft event.
Before that I was in, uh,San Francisco at Google IO.
Um, I
Tonight you're going to
I was at NVIDIA GTC.
I was at like, I've like, we're, we'rerecording this in June right now.

(18:15):
And I've already been toabout 10 events this year.
So I'm actually out there shakinghands, kissing babies is our
old friend, fun uncle would say.
Um, um,
Yep.
Yep.
That's
I'm like, I'm meeting people in person andgoing and having dinner with the men, um,
You know, doing what I can to hang out.
Like I'm, I try to be asapproachable as a possible.
And I think most people areoften shocked that like,

(18:38):
Oh, when I hang out with him in person,he's like the exact energy, the exact
person that I see in those videos.
And that's, that's kind of what I'm
going for.
And I don't, I wouldn'tsay it's methodical.
I think it's just who I am.
Yeah.
Yeah.
And that's why thiswhole model is for you.
And that's, and like, that's why Itell people as well, you know, if
they're like, Hey, how's Matt doing?

(18:58):
I'm like, he's literally doing whathe wanted to do for a long time.
you know, like it's perfect.
And,
Yeah.
It is interesting in that way.
Right?
Like, I feel like at.
Um, evergreen
profits.
We were constantly talking about theidea of like building a media brand,
going in harder on YouTube and creatingmore video content and, um, all of that
kind of stuff.
and

(19:18):
I just kind of leaned into that andit's, it's been working out pretty well.
Well, and you also carved out a very,you know, a niche space, obviously
it's kind of broad, but like in thetime, like there was a gap, right?
Like on YouTube and you filledthat and Like this is like kind of
what we were talking about beforerecording is the fact that like if
you could spot something like that and

(19:39):
you can move quick being like a,as a single person going after
it, or maybe you have a small
team,
maybe not a bit, like you couldsee maybe some of the trends that
bigger companies are doing, butyou're like, Oh, wait, hold on.
No, one's really attacking it inthis way or this, this vertical
or on YouTube, you know, and liketwice a week, whatever it might be.

(20:00):
Like, I feel like that's whereyou, like, you found the gap and
then you just fricking hit it.
Yeah.
Yeah.
I mean, I don't, I don't know if
it was like that methodicalat the time, right?
Like I was just kind of like, Hey,this stuff's really, really cool.
I like making videos about it.
Um, there was maybe like
one or two other people onYouTube that were talking about
AI, but it wasn't the main focus
of their channel.
It was just kind of like from time totime they'd post a video about AI and

(20:23):
I kind of decided I love this stuff.
Let's just kind of makethe channel all about
this, you know, um, um, And Idon't know, I might've been one
of the first, if not the first
channel to really say, all right, I'mgoing to put my channel fully focused
on AI.
Um, but it wasn't like a methodical thing.
It was
just like, that
was what really interested me.
And I started making videos about it.
The video started doing well and I went,okay, well, these videos are doing well.

(20:45):
Let's keep making videos about it.
cool because stepping stones, Imean, I don't know who said it, but
it's like, you can connect the dots,you know, going in reverse and it.
makes a lot of sense, you know, it'snever a straight line or whatever.
It's that whole zigzag thing.
And I mean, we haven't mentioned,but you have, you know, you have
a podcast as well, the next wave.
And that's with a HubSpot, which is.
Which is rad.
Yeah.
And that gets a lot of attention.

(21:06):
You have the YouTube channel.
We already mentioned the community.
You have, uh, what, um, future tools.
Is, is the website.
You also have an email newsletterand it's like you start,
well, I was mentioning to you and Idon't know, I don't think we chatted
about it before this, but I see itas like three key components is like,
you have the media side, which is yourYouTube channel mainly, and then you

(21:27):
have your website, which is the hub.
You can have the, um.
Sponsorships, other monetization.
You can obviously on YouTube as well.
And then, um, and then theemail newsletter is all tied
together again, sponsorships,but they're all very scalable.
Um, couple of those aresellable, maybe the media side
too, but like the other ones, butlike that whole trifecta, I feel like

(21:49):
is a model that a lot of people andsomething that we talked about a long
time mentioned evergreen profits,like our whole company, it's kind
of the same idea, but, you know,You said it wasn't really super
methodical, but you did itin like, you did it anyway.
It's probably in theresomewhere, you know?
Yeah.
Yeah.
I mean, I, a lot of times I don't think wegive ourselves enough credit for, um, you

(22:09):
know, how, how it all came to be right.
Like I say, it's not super methodical,but also I did 13 years of marketing,
content marketing, uh, copywriting,all of that kind of stuff.
So it's like.
And my brain, the pieces all kindof fit together and made sense of
like what I should do, but it wasn'tlike, okay, I sat down with a pen
and paper and said, all right, I'mgoing to make this three pronged

(22:30):
approach of YouTube website newsletter.
It was just like the marketing brainin me who's been doing this for so long
knew that, okay, we've got the mediaoutlet, which can drive attention.
We've got the newsletter, whichcan drive retention, right?
Keep bringing people back to whateverI'm doing over and over again.
And then we've got the website, whichcan, um, sort of capitalize on SEO

(22:51):
and other traffic methods to bringpeople in as well, but also the
website is what grows the newsletter,the most, most people think, oh, the
newsletter probably grows from YouTube.
I get almost no subscribers to mynewsletter, even though it's my main
call to action in my YouTube videos.
Most of my newsletter growth comesfrom the future tools website.
Um, the future tools website getsclose to a million visitors a month,

(23:11):
straight up from Google, uh, SEO.
Right.
So it's like, I have a way ofcapitalizing on the SEO with, with
the website, it grows the newsletter,which helps with retention.
So I can bring people back to YouTubevideos and back to the website.
And it's just this like symbiotic processthat to me just all kind of made sense.
Like if you have a website.
You should have a newsletter.

(23:31):
We've like, we've preachedthat for over a decade.
Now, if you have a website,bro, damn newsletter that helps
you bring people back to the
website, right?
Uh, content marketing is in myopinion, the best form of marketing
because it's free.
You put the content out there.
It could live on forever andcontinue to drive traffic forever.
We've preached that
forever, right?
So it's like all of the stuff I'mdoing is literally the stuff that

(23:53):
you and I preached on the hustle andflow chart for, you know, however long
we did the hustle and flow chart show
Nine years now.
I'm all with you aboutseven and a half or So
Yeah.
So it's all, it's all justdoing like practicing what
we've been preaching, right?
Um, you build media, createcontent, grow a list,
and that's really it.
Well, so talk about,um, and this is great.

(24:15):
I love the fact thatSEO, cause I was unaware.
I kind of had a feeling, you know,in terms of traffic SEO, because of
the sheer amount of tools that you'rereferencing daily, like new, new
ones all the time, and you obviouslyhave a system for this, this is
where you always had your brilliance.
Um, so I guess walk through, causeI question a lot of people have,

(24:35):
and I've heard it a lot askedme, cause still the main driver
actually of growth of this show is.
On the website, it's through
SEO as well.
Um, same thing, but obviously you,you're capitalizing like other
brands, which is always brilliant.
Again, what this podcast has doneto leveraging other people's names,
break down the whole SEO thing.
And like, so obviously it works still.

(24:56):
Cause that's the biggest questionpeople are like, is it even worth it?
Yes.
Yeah.
Well, it is for now.
I don't know of
long term it's going to be worthit, but right now in this current
moment in time, it's still worth it.
so yeah, like the SEO.
So there's been a lot
of talk about how like
AI is, you can't create content with AI

(25:17):
and get it SEO'd Right.
A lot of people have claimed that it's.
bS you can actually 100 do really wellwith SEO with AI generated content.
Google does not give a crap andnot only does it not give a crap,
it has no way of knowing whetheror not your content was generated
with AI or handwritten by a human.
No way of knowing.

(25:38):
I know there's AI detectors out there.
They suck.
They don't work.
They're not as accurate aseverybody believes they are.
there's been stories out thereof college professors failing
everybody in their entire class.
Because he thought they wrote itwith AI because one of these AI
detectors claimed all thefricking articles were
written by AI.
Right.
so like the, those

(25:58):
detectors just, they don't work.
Um, if you wrote something with AIand you, change like two words in
the article, all of a sudden the
detectors can no longertell that it was AI
written.
AI 100 percent can still work for SEO
what are you using specific tool?
Um, obviously you have a wholeautomated thing, but to do your writing,
like, do you prefer any one tool?
Yeah.

(26:19):
So I built a workflow.
Um, are you familiar with make.
com?
Yeah.
So I built
it for anybody who's not, it's very
similar to Zapier.
If you're if you'refamiliar with Zapier make.
com as a competitor,
they kind of do the same types of stuff.
So I built a workflow
and make.
com where whenever I come acrossa new tool, I take the URL of that
tool, I put it into a Google sheet,into like a cell in a Google sheet.

(26:43):
And then make.
com takes that URL, usesa tool called scraping B.
It uses the API from scrapingB to scrape the sales page.
It basically just looks at the URL andgoes, all right, we're going to take
all of the content that's on this page.
It takes all of that content and thenit pulls it into, um, uh, GPT four.

(27:03):
And then there's a prompt thatit automatically submits that
says, uh, summarize what thistool does down into one paragraph.
And then it summarizes it down into oneparagraph, and then it takes that output,
that one paragraph, sends it to anotherGPT 4, and, and asks it to summarize that
one paragraph down into one sentence.
So now, all I do is I plugin this URL into a Google

(27:25):
Sheet, and it writes me, itscrapes the site, writes a
summary, writes a single sentence.
And then the final step on make.
com is then it then adds it tomy website automatically for me.
So it takes that description.
It takes that short description.
That's what you see on the mainhomepage is the short description.
And it, and it builds out thatpage for every single tool.

(27:48):
And so.
dope.
I love
that's the workflow.
You just throw it into, uh, wheneverI find a cool tool, throw it into
Google sheets and it's on the website.
wow.
Yes.
And so that's, that'ssort of how that works.
And you know, all of these things rank.
And a lot of times if you searchfor a specific tool, the number one
listing is like the tool itself.
The number two listing is thefuture tools listing for that tool.

(28:09):
Right.
So I know it really works.
And the, what Google really wantsto see is if somebody clicks on
a link, And they go to the site.
How, uh, how quickly do they come backto Google after they click on the site?
Right?
Like that's pretty much 90percent of SEO these days.
Um, you know, people who sell SEOservices don't want to admit that

(28:32):
that's what it is because otherwiseeverybody can just do it themselves,
but that's what SEO is these days.
If I find a resource onGoogle and I click on it.
And then I land on a page.
If I click right back to Googlewithin five seconds of landing
on the page, Google thinks, okay,we showed them a result that
wasn't relevant to their search.
Let's push it down the ranks a little bit.

(28:52):
Right.
And this is this very oversimplified.
There's more nuances to it,but for the most part, that's a
very simplified version of SEO.
If I click on a link and then they bounceback to Google real quick, Google sort
of de ranks that site a little bit.
That wasn't the right result.
That's all Google cares about.
It doesn't matter if it was AI written.
It doesn't matter if it wasn't AI written.
However, if you spend a lot of timedoing like AI written blog posts and

(29:17):
these days people are getting betterand better at going, this feels like it
was written by chat GPT and they bounceoff very quickly, those sites de rank.
So if you're using AI to write ablog post and people land on it
and they start to get this impression,this feels like it was written by
AI, they're going to bounce that
site's
going to D like lose rank Andyou know, Google's going to

(29:38):
rank the higher value content.
It's on there, which is whya lot of people say like,
Hey, I content doesn't really
work for SEO.
It's just because sometimes AIis writing really crappy content
that people bounce away from.
And I would, I would urgeto say that maybe people.
Either a, they don't know, orthey're being lazy and they're
not humanizing the content.
They're not writing
it, training it in your, your writingstyle, or at least prompting it

(30:01):
in a way to model someone else.
That doesn't sound like, youknow, maybe it's using delve five
times inside of a, an article.
Yeah,
and it's like, when the hellhave you used delve in your life?
yeah, yeah, yeah,
there's certain words AI loves thateveryone's kind of picking and seeing now.
exactly.
Yeah.
okay.
This is great, man.
And that whole workflow, I mean,
someone could just take that right there

(30:23):
and like create a whole workflowof yourself, like whatever
application to your website.
Um, I know.
make.com.
It's super simple.
It's all
like no
Drag and
stuff.
Yeah.
Um, is that what your website's made on?
Is Well Is Make or, um,
know It's built on Webflow rightnow, but saying that I'm actually
working with a developerright now, and we're
actually going to

(30:43):
migrate the whole thing over to WordPress.
so it's actually going to be on WordPress
again.
Sweet.
Basically because Webflow has likebandwidth limits and my site gets
so much traffic that I'm constantlyhitting those bandwidth limits.
problem.
Yeah, it's a good problem to have.
Great.
Beautiful, man.
And that's the thing is I feel you've,you've had a workflow kind of like this
for a while, um, on your side, I believe.

(31:05):
And I mean, honestly, it'slike any databasing in general.
Um, it's just clever.
I mean, I'm already getting a
bunch of ideas.
We don't need to go down the rabbithole now, but, um, beautiful.
Okay.
Thanks for clearing up the SEO thing
on the website side of stuff.
Um,
Funny thing is I'll justadd this too, is like.
I built a website like that back when

(31:25):
we were still doing hustle and flowchart, but I was having it show pages
like lead page tools, like lead pages And
click funnels.
And it had like a filtering
thing
where It you know, are you lookingfor a landing page builder?
Are you looking for acheckout cart builder?
And we'd try to push them to thrive card.
And I built like the samesort of filtering tool.
I don't remember what wecalled it at the time.

(31:47):
Um,
shoot.
I it's coming back to me.
It was some affiliate kind
an affiliate marketing play wherelike you've filtered down to
the exact tool that you needed.
And when it found the tool that youneeded, you clicked on it and it was our
affiliate
link.
Right.
And so when I built futuretools, I literally just took that
same concept.
I'm like, man, I can build thatsame thing that we were building
there, but let's just focus on AI

(32:07):
tools, same exact concept.
I just sort of
applied it to a new sort of niche.
I love it.
it
just, I love the fact that because weproved it on the podcast side as well.
And this is through a little bitmore manual work because you have to
record the content of course, but youknow, like leveraging people's brands
and names in YouTube, like that'ssuch a powerful thing because we
would specifically title episodes andobviously in the content itself, you

(32:31):
could do some more SEO engineering.
The fact that you don't even havethat much content inside that
website, but obviously it's very,like you said, time on site.
So they're going to start clickingaround to other tools and going deeper.
And like that's the point, I
Yeah.
And that's, and I thinkthat's what happens too.
I think people look at it.
They, they find the toolon Google, they click
into it.

(32:51):
And then when you
look at any tool
on future tools and bottom of the toolpage, it says other similar tools.
and people go, Oh, like,
like I
was looking for a tool that does this.
Well, here's two other toolsthat do the same thing.
Maybe one of these
is a better fit.
And so they start
diving deeper into the websiteand they don't back bounce
back to Google very quickly.
So the site
stays ranked well.
Yeah.

(33:11):
Okay, cool.
All right.
So I want to move awayfrom the website stuff now.
This is great.
No, this is beautiful.
Like we can keep going down,but, um, I'm going to stop there
on the, let's see YouTube side.
I think we, we nailed somegood stuff there already.
Um, There's obviously changes now,you know, like you can put multiple
thumbnails and split test those.
So there's ways to kindof optimize the whole

(33:33):
got that
feature really early.
I've had that for about a
year
now and they just rolled it out to all of
YouTube within the last like twoweeks or something like that.
Um, but yeah, I've been doing thesplit testing for a long time now.
And yeah, it's been awesome.
You learn a lot
and what you find out by doing a lotof YouTube split testing is that almost
never is the thumbnail you think goingto win the one that actually wins.

(33:55):
Uh huh.
Uh huh.
Um, are there any, like, I don't know,best practices, if that's not the right
word, but like, have, have there beensome commonalities that are the winners?
Uh, or is it literally a crap shoes you
uh, it feels like a crapshoot at this point.
I would say as far as bestpractices go, um, one thing that
we learned pretty quickly is that

(34:17):
when you first start doing a thumbnail
test, test three dramaticallydifferent thumbnails, right?
Cause in the beginning, what we weredoing is we were doing like three of
the same thumbnail, but we'd try like.
Uh, different words, right?
Like I might do one that says AI news.
One that says crazy AI news.
One that says huge AI news, but otherthan just the text, the thumbnail
was identical in all three, right?
We'd go and look in and it wouldbe like 33%, 33%, 33%, right?

(34:41):
They'd all be like the sameclick through slash watch time.
It's not based on click through.
It's based on watch time, but, uh,watch time is factored into click
through rate because they wouldn'thave ever watched if they didn't
click through in the first place.
Right.
So, um, but we would find that theywould all be like equally matched.
But then if we would put in threedramatically different thumbnails,
like one is like my real face,one is an AI generated face.

(35:01):
Um, one is just like a colorful pictureand it doesn't have me in the thumbnail
at all, but they'd be wildly different.
We'd find you'd get like, one wouldbe 25%, one would be 45%, one would
be like 12 percent or whatever.
I don't know.
I obviously didn't do
the math in my head rightthere, but, um, you know, that
one would be like a dramatic
winner.
And then once you find thatdramatic winner, you go and

(35:22):
take the thumbnail that wonand do another split test.
But this time.
Try testing like different text and nownow you're going for marginal improvements
But you're not really gonna see the like
marginal improvements by threelike really close thumbnails So
starting wide with the variations.
Yeah.
Yeah, absolutely
So one thing, and I think you, if you havea YouTube video on this, just, uh, say

(35:45):
I have a YouTube video on this and I canfind it, but like you've gotten, I think
you're the best, or at least one of the
best people who can, you know, get yourface in AI form, but like do some wacky
stuff, modeling, different characters,whatever it is, can you break down your
process if it's simple enough to do that?
Or at least point us in the direction.
Yeah, so I do have a coupleYouTube videos about this

(36:07):
But the the
sort of quick overview of it isyou have to use a tool So are you
familiar with stable diffusion?
Yeah,
The AI
a ton, but
Yeah, the, the AI art
generation tool.
Um, so the way I do it is Ihave stable diffusion installed
locally on my computer.
Now, if you're using like aMac, it doesn't work very well
because it, like they want to seean NVIDIA GPU for some reason.

(36:30):
Right.
Um, but I have it installed locally.
And what I essentially
did was I find tuned a stablediffusion model and trained
my own face into that model.
And then once my own face was intothat model, I can now prompt any Use
a little keyword that tells it thatI want my face in this image and it
will put my face into that image.

(36:50):
Um, so, you know, it's probably too,um, like I did an interview on social
media examiner with Michael Stelzner.
And that entire interview was likea step by step breakdown of how I do
this.
And that was the entire interview, right?
So that was like an hour long,like, here's how to do that process.
Um, and then I also have a couple

(37:11):
of
YouTube videos where I breakdown the process as well.
But essentially I'm fine tuninga stable diffusion model with
my face trained into it.
Once
you have it trained, you canliterally type any prompt you want
and put your face into that image.
Okay.
Yeah.
Well, I just found six days ago,at least kind of this recording,
uh, repurposing video content into
multiple mediums without, uh, it'sprobably something else, but that

(37:33):
was a stable diffusion or sorry.
Social media examiner.
yeah, yeah, that was actuallya more recent podcast.
The one I did with, uh, Mikeabout, um, training your images.
I don't know.
Probably came out lastyear sometime, I think.
Okay.
Actually, I think I found it here.
Yep.
How to generate headshots
with AI.
So.
Right on.
yeah, We'll link that up here.

(37:54):
um, beautiful.
I figured that would be the answer anyway.
I just wanted to ask itcause it was top of mind.
interesting enough though,from our split testing.
Now, if you look at my YouTube channel,you'll notice that I'm actually using
my real face instead of an AI generatedface a lot more often because the split
testing.
So when it comes to like what images
work for thumbnails, it's beena moving target this whole time,

(38:16):
right?
And we find that out throughsplit testing thumbnails.
Is that a year ago, me putting myAI generated face in the thumbnails
is what really, really worked.
But then we saw that
trend happen on YouTube and moreand more people started doing AI
generated versions of their face.
Now, what works on my channel isactually real images of my face tend
to get better, um, optimized better

(38:39):
with the thumbnail tests thanwhen we use AI generated images.
So we're constantlytesting back and forth.
And right
now we're in this phase where my realface works better than my AI face.
So I have a guy named John on my team who
makes all my thumbnails now.
And so he's also the one he's like, Iguess you could call him like my head
of, uh, YouTube optimization, right?
He's
constantly, going back to oldvideos and running new split

(39:01):
tests on old videos and things like thatSo we're constantly, constantly optimizing
videos That even came out like a year
ago.
Um, so
yeah, like even the image youjust pulled up is probably a
split test that's currently going.
Probably.
Yeah.
And then, I mean, that's a big nugget.
You kind of just like, just saidnot passing, but like going back in
time and looking at your history,Sean Campbell said the same thing.

(39:22):
He was like, it could be videos four orfive years ago that are now starting to
pop off or maybe consistently growing.
Like, why not go optimize thosego peek at, I mean, now with
all these tools that we have,
Yeah, yeah,
have then
Yeah,
we have one video.
I don't, uh, I don't remember exactlywhich video it is, but there was one
video that was sort of like flatlined.
It wasn't getting any traffic anymore.

(39:43):
We went back in, changed thethumbnail, changed the title, and
you can literally go into our stats,see the date that we changed it.
And it's just like a hockey stick.
It just went and just shot up.
Right.
It was a video that had like 10, 000views over like six months or something.
And now today it's got, youknow, 300, 000 views after
changing the title and thumbnail.
You just never know.
A lot of times, uh, Algorithm, theYouTube algorithm, nobody really knows

(40:06):
how it works, but if it seems like ifyou go and make some of those changes,
YouTube might
kind of test the waters with that video.
Again, they
might start putting itout to more people and
going, all right, there's beensome changes to this video,
Let's let's see what we
can do.
I
mean, YouTube wants the retention on site.
YouTube wants people togo back and watch more
videos.
So it kind of feels likeif you go back and change

(40:28):
some things, tweak titles and thumbnails,YouTube, I think kind of goes, all right,
let's see if this does alittle bit better this time
around.
And it's going to give you more love.
Uh, I want to go back to cause Icould have been hearing you wrong,
but the retention on a video,like does the engagement rate per
video, do you think that gives youthe most love with the algorithm?

(40:48):
Or is it more like maybe they goto multiple videos within your
channel, stay on site in general.
Do
Yeah.
I mean, I do think
it's, I think, you know, there's a lot of
factors at play and obviously YouTube'snever published how the algorithm
works exactly.
So everybody's just kind ofguessing and like, uh, finding
correlations between their
tests and things like that.

(41:09):
Um, I do think retentionon the video matters.
I think the point I was makingearlier isn't necessarily that
you shouldn't focus on retention.
It's more that you shouldn't be doingthe like retention editing style, where
it's this, these quick cuts and like fastmotion and like try to, overstimulate
the brain to keep people working.
That style of video isn't aseffective as it used to be.

(41:33):
I still think you needto keep people around.
We still focus on things like, the hookin the beginning and opening loops.
So people stick around to the endand pattern interrupts to, you
know, grab people's attention.
Who's when the attentionstarts to go away.
It's just not that likewhat you would have seen Mr.
Beast do a year ago, where it's justlike today I'm going to do this.
And then an
explosion happens and there'sa cut every two seconds.

(41:54):
And it's just move,move, move, move, move.
That style seems to be lesseffective, but that doesn't mean
you shouldn't focus on retention.
It just
means that that style of editingof just like quick cuts and
like overstimulation isn't as
effective as it used to
That makes sense.
Yeah.
And I figured I just wanted tomake sure it was super clear there.
Uh, for any, any of those wondering, cool.
All right.
Um, really fast on that otherthird part of the trifecta.

(42:17):
I know there's more, but like on theemail side, I'm curious of some quick.
and, uh, and then I have like a few otherquestions and I know we have a hard stop.
I want to make sure that I cangive you some time as well.
Um,
need any time.
I can literally jump onlike one minute before the
Oh, all right.
You don't need to pee or anything.
All right.
You got it.
You do you,
Hey, they work for me.

(42:38):
Damn it.
Ah, I like it.
This is good.
That's the mindset, baby.
Um, email newsletter.
What are some like, you know,some things that might not be so
obvious, obviously grow the list andall that stuff, but like anything
that
you've learned now doing this for what,almost two years, a year and a half or
so, um, like best practices, maybe new

(42:59):
ahas since, since going this route.
So the way I do newsletters now is likedramatically different from the way we
did newsletters back when, um, you know,we had the, the newsletter for hustle
and flowchart and evergreen profits.
Right.
Because now I'm focused on.
Like more of thetraditional definition of a
newsletter, right?
Where it's filled withthe news from AI, right?

(43:21):
Like our old newsletters, wemight focus on like one topic.
And, um, you know, the, the, when itcomes to marketing, the sort of common
wisdom, the common rule of thumbis like one call to action, right?
Like one offer, one call to action,try to drive them to one place.
Right.
And I do think that that's necessaryfrom like a, A sales standpoint.

(43:42):
If you're trying to sell somethingin an email, one, like one call
to action, don't confuse peopleof what you want them to do.
The style of newsletter I do now, everysingle email has 20 links in it, right?
So it's like a completelydifferent style of email.
And it's just been a completelydifferent way of thinking.
It's, it's more about like, howdo I provide as much value as

(44:05):
possible inside of this email?
Versus how do I get as many clicksfrom this email as possible?
I'm less focused on theclick through rate of the
email.
I want the open
rate.
That's what I care about.
I want people to read the email asopposed to click away from the email
to one of the links that I'm sharing.
And so that has been like a shift infocus that I've, I've had to adapt to.

(44:26):
Right.
I've, I've tried to optimize for clickthrough rate, but found that when
you're sending out a newsletter, certainpieces of news are going to resonate
with some people, but not other people.
Right.
So.
Um,
What kind of open rate are youare like, what's your target?
Let's just say that.
uh, I would say I'm targeting a 50percent open rate, um, on the emails.
I would say more realistically, I getbetween 35 and 40 percent open rate.

(44:50):
Um,
so the, the open rates are a
lot higher than what we used toget on like marketing emails.
Click through rates are a lot lower thanwhat we used to get on emails because.
There's a lot of options and a lot ofpeople will just read the newsletter and
go, that was enough of an overview for me.
I don't need to click intoany of these links and
that.
way a lot of times.
Yeah.

(45:10):
Yeah.
I'm okay with that because themonetization is completely different.
The way we used to monetize our oldnewsletters is one link, one call to
action, send them to a site with an offer.
If they click the offer, we eithermake the sale or we make the commission
on the affiliate offer, right?
The new way of doing it is getas many eyeballs reading the
email as possible.
And put sponsors in
the email.
I don't care if theyclick away from the email.

(45:32):
I want them to see the sponsor, right?
So the monetization strategy hasbeen a completely different strategy.
Now, all I really care aboutis how do I get people opening
and reading the email, because
that's what gets thesponsor in front of them.
So that's been a big sort of
shift.
And it is really interestingbecause when you do
these like, uh, newsletterstyles, you do find that

(45:52):
the higher up the email you go, thehigher the click through rate on the link.
And then it sort of trickles down.
And by the bottom, like the lastlinks in the bottom of the email,
nobody even clicks on at all.
So obviously it's a sponsorshipopportunity or whatever you want to
highlight, you know where to put it.
Yeah, well, I mean, my, my goal is tomake sure value first sponsors get what

(46:12):
they want out of the email second, right?
The value to the useris number one for me.
Same goes with YouTube.
Same goes with future tools.
Yes.
They're all monetized through sponsorshipsand stuff, but like making sure the
user experience and like them gettingthe content they want out of it.
That needs to be numberone priority always.
So I always put like the numberone, most important news thing

(46:33):
of the week kind of top, and then
the sponsor might fall after that.
And then the rest of thecontent falls after that.
Right.
Um, and so that's kind of beenthe approach at this point.
I've hired
a team who mostly runs
the newsletter for me.
Um, but it was definitely likea total mindset shift of how
email marketing works from.
The way we did it as like directresponse marketers to now the way I'm

(46:55):
doing it as
more of a brand marketer.
Yeah.
Yeah.
I like it.
And that's honestly, I feel likethat's just the approach overall.
Obviously.
But there's two camps, like you'd be onthe more of the media side or be on more
of the product creator slash owner side.
So there's still a place for media,but of course, you know, you're
going to probably direct mainly toyour own thing if that's the case.

(47:17):
Right.
Right.
just deciding, but Obviously.
there's a whole businesses built offof newsletters now at this point and
they're sellable, they're scalable.
And that's why I reallywanted to, yeah, go for it.
yeah, That was the other piece
with like future tools.
So Matt Wolfe, the YouTube channel,not really sellable, right?
It's too much focused on me.
I mean, somebody could potentially buythe YouTube channel, but I would still

(47:41):
have to be like an employee of it.
Like making the contenton the YouTube channel,
probably a direction Iwould never actually go.
Future tools, the website and thenewsletter is something that if
that could be my retirement, right?
Like that's the thing that down theline, a company might come in and buy.
And like what I foundabout future tools is.
You know, I've had acquisition offers.

(48:01):
I've had a few of them now.
Um, none of them have been serious enoughthat I've like really entertained them.
But what I found is that like companiesdon't necessarily care about the
actual website and like the amount oftraffic it's getting, uh, what people
seem to want to buy is the fact thatI've built this database of all of
these tools and like every singletool that goes on to the website.

(48:24):
When somebody submits theirtool, I collect their name.
I collect their email.
I collect the URL of the tool.
If they have like an affiliateprogram, I collect the link
to your affiliate program.
All of this data for all of thesecompanies that are building an ai.
All of that is in my database, right?
And like I'm not, I'mnot like a data broker.
I'm not gonna go sell it.
I don't wanna be thenext Cambridge Analytica

(48:46):
like I like.
it's not really a routeI'm thinking of going, but
the Future Tools, website andnewsletter is something that is
like sellable in the future.
If somebody wanted to buy
that company as a
whole, I would never just go and sell the
database.
People can do cold outreachto those emails that like,
that's just against my own,
like ethical code.
But, um, the business as a whole issomething that I can sell down the line.

(49:08):
I think it's brilliant.
And it's the data play.
And again, like this could be applied toso many other verticals and industries.
If people, if you're listeningto this, obviously you've already
outlined how to, how you automatea lot of this on your website.
And the fact that you are collectingthat information, I can just think.
A bunch of other industriesand some that I'm already in as
well that like, yeah, that data isvaluable or like, that's where the money

(49:33):
is or like, who else is doing that?
Well, maybe no one, or arethey guarding that content?
Are there other ways?
Like, can you publicly, so again,it's like spotting the gaps
and then finding, you know, andfilling the gap in your own way.
Cool stuff.
All right.
So moving on, looking at timehere and looking at my notes.
I love how like, We didzero prep for this podcast.

(49:53):
And it's like, I have a wholelist of notes now at this point.
but that's just a, that'sjust our vibe, right?
We, whenever you and I get on a call, it'slike, there's no way you and I are getting
off that call within 30 minutes, right?
It's just not possible.
that's why I'm like, I got tocancel the team call that Jacob.
Now, you know why Iactually, I told the team.
So, all right.
There's a
few things.
Well, shoot, where do I go?

(50:15):
Where do I go now?
I want to, I want to go here first.
So what excites you for AI
maybe with what's coming?
What's here.
What's exciting.
and keep it kind of don't go like,I know you can go super deep, but
like, let's have some followups.
Yeah, the thing, so I'll tell you what I'mplaying with the most when it comes to ai.
I love playing
with the AI musicgenerators, SUNO and UDO.

(50:37):
Being two of 'em, like
wait, sorry, I cut you off soon.
It was one I've used that.
What's the other one?
Uh, U-D-O-U-D-I-O.
haven't used that.
Yeah, same concept as soon.
Oh, um, I feel like sobetween the two soon.
Oh, I feel like makes moreenjoyable music, right?
Like it's more music that I'dkind of bob my head to and I
actually kind of enjoy whatit creates, but you can kind

(50:59):
of still tell it's a I right.
You listen to it and the way they sortof blend words together and They still
haven't figured out how to say AI.
A lot of times it'll just go, right?
Like,
That's
uh, so soon I'll like, you'll listen tothe songs and be like, okay, I could tell
us AI, but it's actually pretty good.
I kind of like this song, right?
UDO is a lot better at fooling youinto thinking it's a real song.

(51:19):
Like I will listen to that music andbe like, this sounds like a real band.
I couldn't tell if you playedthis for me that it was AI.
However, I feel like themusic's slightly less enjoyable.
Like I'm not finding myself like,Oh man, this song fricking rocks.
Right?
Like I don't, I don't feel that wayas much with what you do generates.
They're both good.
They're just good for separate reasons.
The other stuff that I'm really excitedabout is AI video generation, right?

(51:42):
I'm sure you've seen like a lumastream machine where, um, you can, uh,
enter a text prompt and it'llgenerate a video off of it.
Uh, it doesn't really work very good fortext to video, but it works really well.
If you generate an image with midjourney or stable diffusion or dolly
three, pull that image in and use thatas like the starting frame of the video.
Amazing at that.
That's a good, that'sa good tip right there.

(52:04):
yeah.
And then runway also, uh, sortof teased their, uh, yeah.
Runway ML sort of teased their gen threemodel, which is another sort of like
Sora level text of video AI generator,which looks really, really good.
So when I'm just like sitting
around having fun playing with AI, I'mplaying with the music generators and

(52:24):
I'm playing with the video generators.
And a lot of times I'm doing it like.
In tandem, I'm generating a songand then going to like a pseudo.
Or generating a song in Suno and thengoing to like Luma and generating
like a whole bunch of video clipsto go along with the song and then
making a music video using the songand the clips that I generated with,
like, to me, that is so much fun.

(52:45):
Like I, I love that stuff.
Um, like that to me isreally, really cool.
Um, Claude keeps gettingbetter and better and better.
I love using Claude.
I know, um,
a, what, um, what
Sonnet 3.
5.
Yeah.
And it's, and it's outperforming GPT 4.
0.
It's out.
Yeah, it's like an all the benchmark test.
It's outperforming.

(53:05):
It can do a single prompt,uh, video game, right?
I've saw, I saw somebody promptit to like, make me like a basic
game, like make me a snake game.
It coded the whole thing andit worked right out of the box.
I did a video where I was like, Makeme a playable tic tac toe game where
I'm playing against the computer.
Made it with one prompt.
The game was workable,playable right out of the box.
Now, no other AI is reallydoing that right now.

(53:29):
So, um, Claude is really,really kicking ass
for like writing code for you right now.
Um, that one's been really, really
cool.
I, I still use chat GPT on my phone a lot.
Like I, I, I, for whatever reason, I
like the
chat GPT app, uh, quite a bit.
So I use chat GPT on my phone,but when I'm on my desktop, I use
Claude.
Um, but yeah, those are thethings that I'm playing with

(53:50):
that, that sort of excite me rightnow in this, this current moment.
Is there anything coming up on thehorizon that, cause this is like the
video thing I felt like was on thehorizon for a while, um, because of, I'm
blanking on the name, the open AI Sora.
Yes.
I was going to say Sora.
Anything coming that's exciting.

(54:11):
Well, we're still waiting on Sora, right?
Um, Luma only generates five
second videos.
Uh, that runway gen three cangenerate up to 10 second videos.
Supposedly, Sora can
generate one minute videos.
Right.
So like that additionallength from Sora, once we get
that, that'll be really, really exciting.
Um, you know, the stuff that Ithink I'm the most excited about.

(54:32):
That's like in the pipeline is moreof the like agentic stuff where you're
building like these agents that willactually go and do tasks on your behalf.
Right.
So like, um, I work with acompany called mind studio.
They help you build like theselittle AI agents as well.
Um, and.
That type of stuff is, is really exciting.
Like, um, you know, go and do thisresearch for me, come back with the

(54:56):
research once I've, um, you know,based on your research, go find the
product on Amazon, price shop it forme, find the cheapest place I can buy
the product based on your research,and then, um, you know, send me
a confirmation and I'llgive you a yes or a no.
If I say yes, then buy
it on my behalf.
Right.
Like some of this agenticstuff is sort of popping
up and we're going to startto see that more and more and

(55:18):
more in the coming months of like these.
These language models that can use toolsand go and actually take actions on
your behalf.
I think that's what we're going to
start to see bubble up more and moreand more over the next several months.
And that's where like, you know, I'm,I'm doing a lot of stuff with a lot of
clients, enterprise level, um, you know,with Mike Koenigs and Brad Costanzo and,

(55:40):
and, and, you know, just across the board,I'm seeing a lot more people starting
to think that way with the agents.
I think people now are understandingat least the basic fundamentals
of chat, GPT, Claude, they might
not know really how to make themost of it, but at least they're
already starting to think, Oh, whatif I string these things together.
And that's exactly what you'redescribing in mind, mind studio.

(56:03):
Uh, kind of connect me withthe founder, by the way,
Yeah, yeah, yeah,
my neighbor, our neighbor.
He lives out in a mule.
Yeah.
Yeah.
Yeah.
Hey, don't call him out like that.
Oh, sorry.
Did I just
tiny flat.
Yeah, my bad.
Uh, it's only horses and a bunchof lifted trucks out there.
All right.
No, I'm just, uh, we're in East County.
Y'all
so, uh, but no, the mind
studio seems like the best one I've found.

(56:25):
Cause I've
looked around for solutions and,
um, yeah, For
exactly what
you said.
Like it's, it's a sweetbusiness, like use case if
you're looking for a lot of theseagents and it just looks fun.
I personally haven't used it yet.
I need to though.
I'll share one more thing that I thinkis that we're going to see a lot more
of as well that I think is excitingis more of like the wearable tech,
you know, there was the things likethe rabbit are one and the humane pen

(56:48):
and you know, they just got frickingdestroyed and all the reviews online.
And I don't think that's it.
Like, I never thought that was
it, right?
Like, why have a separate app, a separatelittle handheld device when my phone
does all the same crap already, right?
Like it doesn't make much sense to
Apple intelligence.
Yeah.

(57:10):
but what I think is, is more usefulis things like, um, like I've got the
meta Ray Ban, uh, AI glasses, right.
I, um, there's been somedemos of like AirPods, right.
And the AirPods, they look like theApple AirPods, but they have little
cameras on the tip that are like three60 cameras that can see all around you.
Right.
And like, based on what you're seeing cansort of feed information into your ears.

(57:32):
Um, and so what I think is, is going tohappen is we're going to see more and
more of these wearables with AI built in.
And right now the AI that's built intothe glasses isn't very useful, right?
You got to talk to your sunglasses andsay, Hey, Meadow, what am I looking at?
And it'll be like, it lookslike you're on the beach.
And it's like, cool.
What's that good for?
Unless I'm like, unless I'm likehard of seeing or blind or whatever.
Right.
And I, and I need the glasses to sort ofgive me a description of what I'm seeing.

(57:55):
It's not really that useful to me.
But what I think is going to happenis they're going to start putting
like little heads up displays in it.
Or,
um, you know, I was actually, it'sfunny that we talked about mind studio.
I was talking to Dimitri, the CEO of this.
Of, of mind studio.
And
one of the things that we were, we werereally sort of nerding out about is the
killer app would be sunglasses that whenyou meet somebody remembers that person,

(58:20):
and then the next time you bump intothem, the sunglasses whisper in your
ear, by the way, this is Joe, you know,
Here's a couple of nice facts about him.
This is Joe.
He's got two daughters.
He's
married.
He's got, you know, like, and itgives you some like information.
He lives at, he lives at 1,2, 3, 4, B S drive, you know,
PS drive.
whatever, whatever informationremembers about this person you

(58:41):
walk up and it's either likegiving you a heads up display on
your glasses.
Like.
This is Joe, or it's like, youknow, telling you something
in your ear about Joe.
Right?
Like, um,
that's cool.
I can see
would be like a killer use case.
Like be
my, like how many people aresay they they're horrible at
remembering names, put on a pair of
glasses and now youremember everybody's names.
Like, I think that's

(59:02):
coming soon.
yeah.
And follow up.
Like you could probably initiate followup like that instantaneous, like with
all of these next steps that you might bedoing when you're meeting someone, like.
It's yeah, I think it's, it's just likehow AI already is here on the screens.
Why not bring it into the worldaround us and make it visual, make
it here, make it all, all the above.

(59:22):
So I a hundred percent cool.
It's going to start somewherewith those meta Ray bans.
I mean, it's like, it'sgoing to start basic.
It's like Google classor whatever the glasses,
yeah.
Yeah.
They were ahead of their time
really.
Like now they probably would have, Imean, they, they ugly as hell, but now
they would probably be a little slightlymore accepted than they were back then.
for sure.
For sure.
All right.
What scares you?

(59:43):
Makes
that scared of.
Most AI stuff at this point, right?
The stuff.
Okay.
So the stuff that really scares me around
AI is more like bad actors using AIto do bad actor II things, right?
Like, uh, using AI, like we talkedabout Claude and how Claude is really
good at coding with a single prompt.

(01:00:03):
Now, both Claude is really goodat coding with a single prompt.
Now.
How easy it for, is it foranybody to become a hacker, right?
Like if I can go and have one of theseAI and, you know, Claude and open
AI, they're putting guardrails on it.
So people can't do that, but there'salso open source models that are
quickly becoming just asgood as the closed models.
Right.
And if you're using an open sourcemodel, You can yank whatever

(01:00:24):
guardrails you want off of these models
and do whatever you want with them, right?
So what happens when these open sourcemodels get good enough at coding that
they're as good as claude and I can sayWrite me a script that's a trodden horse
that I can install on joe's computerand steal all of his data, right?
Like, um or
You're probably capable.
Don't do it.
Or like, um, you know the As thevideo and image generation gets

(01:00:49):
better and better and better.
How is, um, like visual evidence evergoing to be used in court anymore?
How are we going to show a video of,you know, somebody getting attacked and
prove that that was, that reallyhappened versus generated with AI.
Right.
Um, the AI voice cloningis getting really good.
We've seen scams already wherepeople have used other people's

(01:01:10):
voices, called the person's parents,scanned them out of money, trying to
be somebody else because they wereable to clone their voice with AI.
So the stuff that likebad actors can use AI for.
To me is the most scary thing about AI.
I don't buy into the scenarios of likethem rising up and, uh, destroying the
world, at least not with large languagemodels, not with the AI that we're using

(01:01:31):
today, they're not even capable of that.
There's.
There's almost like,
uh, there's really no path to that withour current like tech that's out there
It's pretty dumb text still in the
in that sense.
Yes.
Um, the, the sort of scam potential,the deep fake potential, the, uh,
the hacker potential, but yeah,um, you know, there's already been

(01:01:54):
reports of Russia and China and
stuff like that.
Meddling
in elections using AI
and.
You know, who knows
if it's propaganda or reality,hard to disseminate that stuff
now, hard to determine the truth
versus not
truth and AI is not making it
any easier.
It's getting more complicated more.
I keep thinking of, and thisisn't the scary part, but like,

(01:02:16):
we're in a time of, um, almostlike a new Renaissance in a way.
And, you know, it's like, there'sdifferent arts, there's different
media, there's different things thatwe all get to explore and kind of.
reinvent ourselves, reinvent society,you know, and there's obviously a
lot of scary stuff that can come fromthat, but it's like, it's new, I guess.
So it's like this whole newreality, I feel like is shaping

(01:02:38):
up rapidly in front of us.
And, it's, it's adapting to that.
it's like, a different way ofthinking that a lot of us, all of.
us
Well, yeah.
And I think, I think one of the bigstruggles we're going to run into is
like governments are going to try toregulate this, but they're trying to.
Regulate based on like the way thingsused to be with new technologies.
And that just isn't going to work, right?

(01:03:00):
Like I don't think copyright law isgoing to exist in the same form that
exists right now, 10 years from now.
I just, I don't thinkit's going to be possible.
Um, you know, like, uh, there's allthis, these sort of issues about, like,
where the training data came from onlike the large language models, the
video models, the image models, likeit's trained on other artists work.

(01:03:22):
It's trained on thewritings of other people.
Right.
the books out there, basically
Yeah.
And that really sort ofmuddies the waters a lot.
But if you look at humans in general,they operate in the same way.
If I become an artist, I learned fromall the artists that came before me.
I'm taking influence from, youknow, the artists that I tried
to model when I was learning art.

(01:03:43):
How is that much different?
Right.
Um, you know, I, I actually have thisbelief that all of the people that
are fighting against, um, AI overcopyright reasons are actually pushing
AI to become more and more mainstream.
I think the people that are fightingit are actually having a reverse
effect from what they're going for.

(01:04:04):
And so you look at a tool like Sunothat can generate AI music, right.
Well, in the old days, you wouldhave to go and license somebody's
song, put it over your YouTube video.
And if the song didn't happen to belicensed, they would slap you down.
The video would either get removed offYouTube or all of the monetization,
all the monetization on that videowould go to the creator of that song.

(01:04:26):
I could have a 30 minute videoand a five second clip of a song.
And if that the copyright holdersaw that my, that five seconds
was in my video, they can take ahundred percent of the revenue from
that video, even though it was onlyfive seconds of a 30 minute video.
Right.
So what does that make me do?
Well, I'm not going to go license otherpeople's songs, tools like sooner or out
now I can just make a song, not have toworry about licensing it and put that

(01:04:47):
in my video without worrying about any
repercussions, right?
So by you going and slapping downYouTubers for using their song in their
videos, well, I'm Now people are going to
alternate sources to do that.
Remember when we used to do like blogposts and, um, you know, we might find
an image on Google or something, throwit into our video, and then you get
an email from the associated presssaying, Hey, you owe us 800 because

(01:05:09):
you use that image on our blog post.
I do.
I remember that.
what do you think that'sdoing to people now?
Okay, fine.
I am never going to use anassociated press image ever again.
I'm going to go generate an image with mid
journey instead, right?
These companies that are enforcingcopyright law are pushing people
to the AI alternatives, whichis not helping their cause.
I just think copyright needsto be rethought completely.

(01:05:30):
If the creators of this, uh, this IP.
Want to continue to like actuallybe relevant in the creator
economy.
And think about the people whoare pushing back and all that.
It's like, well, you gotta, yougotta know technology's not stopping.
It's going to keep movingquicker and quicker.
It always has.
And, uh, maybe, maybe the better stanceis to be that person that helps shape.

(01:05:54):
What regulation new regulation workslike, but understanding that technology
is going to keep moving forward.
Someone's got to take the realm.
and like, if you're specialized in yeah.
Music licensing, It's like, great, youknow, own that and then be the person to
help make that a thing that's, you knowit's helpful for everybody as a whole.

(01:06:15):
Um, It's probably going to look different
I mean, Grimes had the right idea, right?
You know, Elon's one ofElon's baby mamas, right?
Like she had the right idea of going onon X and saying, Hey, you can use any of
my music you want, you can use my voice,
make new songs with
my voice, do
whatever you want with it.
Just give me a percentage ofwhatever you generate from it.

(01:06:37):
If I was an artist,
I'd be saying
screw copyright.
I'm going that direction.
Here's here's the files to use my voice.
Go make
songs with
me in it and give me a cut.
Look, I just created an army of me's now.
Like that's a better model.
I'm sorry.
Kind of brainy, but yeah, I'm gettingall the marketing love now and the
first mover to do that, or at leasthandful, like are going to win.

(01:06:59):
Yeah, exactly.
they're going to be known.
Um, all right.
So on a, uh, on that note, and I'mlooking at the clock still pop up, pop,
um, how are you staying with this path?
Like I'm thinking more mindset y now.
Yeah.
and cause you're, you're, going hard.
How many, I mean, at least whattwo episodes, two videos per week,

(01:07:20):
right.
I try for three.
Um, I'm really busy weeks.
I ended up getting two.
Um, but I would say the averageweek I'm putting out three videos.
So you're obviously like you hadthe website pretty damn dialed in.
There's obviously stilla filtering process.
We don't need to go through allthat, but you automated a lot of the
website side.
You have someone else writingyour newsletter for the
most part, or completely.

(01:07:41):
Videos though, andstaying up with the news.
And then now I'm thinking ofthe sponsorship obligations
you have across the board,
um, partnerships.
Obviously you're having the YouTubeor sorry, a podcast side of things.
So you're creating content there as well.
Um, how do you sleep?
Do
I mean, systems and teams, right?
Systems and teams.

(01:08:02):
um, when it comes to YouTube, right?
I've got,
uh, I've got John who helps me with allthe YouTube optimization, the thumbnails.
I've got, uh, Mark, who's my editor.
I still edit a lot of the videosmyself because I just enjoy editing.
Um, Uh, but I still send, youknow, I'd say half the videos,
Mark edits, half the videos I edit.
So I've got an editorwho's helping me there.
I've got a team who helpssell the sponsorships for me.

(01:08:25):
Um, I basically got like an assistant whomakes sure that like, all right, don't
forget this Wednesday, you've got toput this sponsorship into the video and
like helps keep me on top of that stuff.
Um, so it's really just a lotof team, a lot of systems.
And that's how I'm able to likecrank out as much as I crank out.
Like I've probably got notdirectly working for me.
Most of them are contractors, butI'm probably working with a good,

(01:08:47):
like 15 people on a daily basis now.
Um, and I've even gotten to thepoint now where like, I've got
people managing the other people.
So like, so I've, I've had tofigure out how to build these
systems to keep everything going.
Um, but like getting into thesponsorship stuff, that's probably
been the toughest part of like thissort of transition into YouTube for me.

(01:09:10):
Is because so when I started doing alot of sponsorships, I think last time
we talked, I talked about how I signedlike a lot of long term deals with some
partners and I've got like one, twoyear deals with a lot of these partners.
Well, back when I signed thosedeals, my channel was smaller.
I was getting less views per video.
Well, as the channel has grown, a lotof the audience has become less and

(01:09:31):
less receptive to sponsors, right?
So like, um, some of the deals that Imade included like dedicated videos,
for instance, where, um, I would makeone video and the whole video would be
about this one company, it wouldn't belike, here's all the news, by the way,
this video is sponsored by X and thenmove on with the news, people don't
seem to mind that, but if I make avideo and the whole video is about one

(01:09:52):
single company, People hate it, right?
Like the comments are all like,Oh, you're ruining your reputation.
Oh, you're shilling for this company.
Oh, and I'm like, damn it, man.
Like I signed this contract withthem like nine months ago when people
didn't really seem to be paying as muchattention to my channel as they are now.
And now it's like, all right, I'vegot to fulfill on what I promised
in the contract, but the channel hasgotten to this level where people

(01:10:15):
seem to have a problem with that.
And it's like this.
Constant balance.
And now I'm going back to a lotof the sponsors that I have like
dedicated videos with, and trying torenegotiate old contracts and say,
Hey, instead of a dedicated, canwe do three integrations instead?
And they're like, we'd really prefer it.
And so a lot of that is likethe, the, the struggle for me.
And I'm not going to nameany particular sponsors.
I actually do really enjoy workingwith all the sponsors I work with.

(01:10:37):
It's just this, like, it really sortof weighs on me that I want to make
content that comes across as unbiased.
That's just sharing the newsthat shows my excitement.
And then when I got to work these ads
into them and sort of like shillfor somebody else for whether it
be like a minute or like an entirevideo, I just feel so inauthentic
doing
that, but It's like part of,

(01:10:59):
what makes the money doing this.
So it's
like, I don't know, like tryingto find that balance has probably
been the biggest struggle I've
had so
far.
Yeah.
Yeah.
And, and I feel like you're always, youare always authentic as far as I can
tell, you know, on the video side, Imean, I don't know all the nuances of
the tools and whatnot, but it's, it'stough and it's not the sponsor's fault.

(01:11:19):
It's not, it's no one's fault.
It's just kind of, Iguess what it is, right.
It's, it's yeah, that'sreally what it comes down to.
Um, and obviously it's like I dunno,it's, a, it's a tough game and
there's no perfect solution there.
But like you said, it's like, You'rejuggling that multi year sometimes.
Like it's It's a good and
bad thing, I guess.

(01:11:39):
Right.
As a creator.
it's, it's interesting.
I feel like the, the multi year contractswas like a really, really, really good
idea when my channel was smaller, butthe bigger the channel gets, you know,
the more you're like, okay, well you,you, you got in on this deal back when
you were, I was getting way less views.
And, but I mean, that's part of whyyou sign the long term deals, right?

(01:11:59):
Is you get in with the sponsorwants to get in with you.
Seeing a rising star orwhatever and like, Hey, cool.
I'm going
to, if I capitalize on this now, then Iget them when they're a lot bigger too.
So like, I under,
I understand that part of it.
I just, I don't think I anticipatedthe trolls and the backlash and
the negative negativity that wouldcome from those, that kind of

(01:12:19):
content later on down the road.
Like I didn't sort ofanticipate that happening.
Does that ever get to you?
Like the trolls or, uh, youknow, comments like that.
Cause you know, Rogan, Joe Rogan would saylike, don't read your Twitter comments,
Yeah.
Yeah.
I don't really get much liketrolling on Twitter or in like the,
in the, in the communities whereI engage, it's mostly positivity.

(01:12:40):
Most of the negativity is in theYouTube comments, which I try to avoid,
but I still catch themfrom every once in a while.
Right?
Like I still have to go intomy YouTube account and I still.
See comments in there, right?
If you go to your dashboard, YouTubedoesn't even let you hide it.
The comments are rightthere in your dashboard.
Like the most, the threemost recent comments, right?
So every once in a while I pop intomy dashboard and I see something
just like horribly negative.

(01:13:00):
And yeah, it affects you.
I don't like, I listened to aCasey Neistat interview recently.
And Casey's like, dude, I'vebeen doing this for 20 years
now.
And it still affects me when Isee like trolls and negativity.
Like, I
don't know if you ever get overthat, but you do learn to have like a
thicker skin around it.
Right?
like I, it, it.
it.
affects me for a half hour and then
it rolls off and I forget about it.

(01:13:21):
Right?
Like the amount of time it takesme to like, forget about it is a
lot quicker than it used to be, Iguess is the best way of putting
it.
the gap.
Yeah.
that's good, man.
That's great.
Well, I mean, we can, we can gofurther on the, I think, Yeah,
On the mindset side, like, is thereanything else that you think like you
could, I'm just thinking if you startedall over, like the tell yourself, like

(01:13:44):
how to prepare for what you're in themiddle of now, I don't have a perfect
question, but some, whatever lands there.
Well, so one of the things that
I've realized is most of the stressand most of the pressure is from.
that I've, uh, got from YouTube is all
put on by me, right?
like I put the pressure on myself totry to produce three videos a week.

(01:14:07):
And I try to put out three videos aweek and the weeks that I only put
out too, I sort of beat myself up forit, but I don't have a boss somewhere
sitting there going, why didn't youget that third video out this week?
That was just my own likeconstraint that I built for myself.
Right?
Like, so a lot of the likepressure and stress is like,
Is is self inflicted, right?
Um, I agreed to all of these sponsorships.

(01:14:28):
I agreed to all of this stuff.
I think, you know, if I was togive myself advice, I would say.
Um, you know, don't worrytoo much about the, like
the, the frequency of the content, right?
Like worry about putting out reallygood content in the beginning.
I think, um,
you know, I don't know though, that'shard because that's sort of the

(01:14:48):
advice I would give myself today.
Not the advice I would have givenmyself when I first started the
YouTube
you needed frequency to get the
Yeah.
The frequency is sort ofwhat kickstarted the channel.
But then I, I almost feel like I gotto this point where I felt like I
needed to keep that same momentum, evenonce the channel was already big, but
the bigger the channel got, the moreI can get away with producing less
content, but going higher quality.

(01:15:09):
It's almost like the biggerthe channel gets, the more you
need to focus on quality versus quantity.
It's like an inverserelationship kind of thing.
You know, I don't know if I woulddo a lot of long term sponsors.
I don't think I wouldever do dedicated videos.
I think, um, I have alreadysaid no more dedicated videos.
We don't sell them anymore.
They're not an option.
I still have a few that have alreadybeen sold that I need to fulfill

(01:15:31):
on, but I don't sell them anymore.
And I think I would havegiven myself that advice.
Don't do dedicated videos.
They're harmful to thechannel integrations.
Cool.
Dedicated.
No.
Got it.
Makes sense.
Yeah.
but yeah, I would say that's like.
I don't know.
It's, it's hard to say becauseI, I, it's hard to put myself
back in the mindset that I was.
You know, two, two years ago whenI was first kicking this all off

(01:15:53):
and started going down this path.
Um, but I, I do think the free, the highfrequency, maybe not as high of quality
is what helped me in the beginning.
Then as I got bigger, I sort of shiftedmore into quality versus quantity.
And, uh, yeah, when it comesto sponsorships, uh, pick and
choose the sponsors, right,and don't do any dedicated,

(01:16:13):
Yeah.
Know what you're gettinginto and thinking.
Yeah.
It's almost like not alwayssolving just the now thing, but
thinking ahead just enough.
So.
All right, amigo, uh, we are twotill the time you get to bounce.
So I took you to as far as
we
can take you.
Um, thank you so much.
Uh, shout outs, obviously future tools.
io.
Find Matt
Wolfe on, uh, everywhere else,basically, but YouTube, what Mr.

(01:16:38):
Eflow on X, Twitter,
X and Instagram.
Yep.
I
Instagram.
Yeah.
Join his
really do a lot of Instagram.
I'm trying to do it alittle bit more, but yeah,
All right, man.
Appreciate you so much.
Love you, bro.
man.
Likewise.
Appreciate you.
I love you.
And thanks for having me again.

All Episodes

Best of 2024 - Building a Media Empire with Matt Wolfe

Challenges in Consistent Content Creation

Managing and Optimizing Content

Dealing with Trolls and Negativity

Transitioning Email Marketing Strategies

The Value of Data and AI Tools

Building and Maintaining Community

Alternative Music Licensing Approach

Future Trends in AI and Integration

Episode Transcript

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