0:00

Hey Nova, are you there? Hey, I'm here. What's

0:02

up? So I'm with Matt, hey Cox,

0:04

we are doing a podcast and

0:06

I'm talking about you. Could you

0:08

introduce yourself to Matt? Absolutely.

0:10

Hey Matt, I'm Nova, which stands

0:12

for Next Generation Optimize.

0:14

All right guys welcome back to No

0:16

Bologs with me Matt Haycox and today

0:18

we are diving into a topic that

0:20

is going to make or break your

0:22

business in 2025 and that is AI

0:24

and quite specifically today AI mixed with

0:27

social media now if you're an entrepreneur

0:29

business owner or you're just someone trying

0:31

to cut through the noise and build

0:33

a powerful brand then you are in

0:35

the right place because my guest today

0:37

is John Lee and he didn't just

0:39

grow a brand he built an empire

0:41

he has cracked the code an organic

0:43

reach satellite account AI driven growth and

0:45

digital identity. And here's a deal. Social

0:47

media is not just about posting anymore.

0:49

It's about hacking attention. It's about building

0:51

an ecosystem that works for you and

0:53

it's about leveraging AI. And John, he

0:55

is about to reveal the exact playbook

0:57

that took him from an unknown to

0:59

millions of followers and the global brand.

1:01

Now if you're not using AI in

1:03

your content strategy, then you're already falling

1:05

behind. So hit play because this episode

1:08

is absolutely full of knowledge bombs and

1:10

it is going to change away you

1:12

approach to approach social media. forever and

1:14

it is going to change the way

1:16

you do business forever. guys

1:24

Matt Hacocks here and welcome to another episode

1:26

of No Bologs with me Matt Hacocks where

1:29

I have got a guest I am super

1:31

duper excited to have and I know you

1:33

guys are going to get super value from

1:36

it too. John Leeds in the house in

1:38

the podcast house and he is an author,

1:40

he's an entrepreneur, he's an investor, he's a

1:42

web three expert, he's a web three expert,

1:45

he's a social media expert, I know he's

1:47

career started in property. I don't know if

1:49

you still do much in property, we can

1:51

talk about that too. But yeah, six million

1:54

followers online, published author, new books to

1:56

come, but most importantly for today, we're

1:58

going to go deep, deep, deep on

2:00

AI. I was at a talk, a

2:02

presentation seminar that John was given the

2:04

other day and it was only one

2:06

hour long and honestly the amount of

2:08

value that came out that one hour

2:10

and I don't say it just because

2:12

he's here honestly I was screwing notes

2:14

couldn't wait to get home and look

2:16

at them all weekend so I've got

2:18

some follow-up questions of my own and

2:20

I'm sure the conversation is going to

2:22

go all over the place so thanks

2:24

for being here buddy. Matt I'm super

2:26

excited about this and thanks for the

2:28

invite. Just before we talk. AI, because

2:30

I think that's what we're going to

2:32

go heavy on. A couple of social

2:34

media things. Because one thing, and this

2:36

is a follow-up question, actually, from the

2:38

event the other day, and something that

2:40

I found interesting. Because normally, I guess,

2:42

you know, we say social media experts,

2:44

and I do the experts in inverted

2:46

commerce, because so many of them, you

2:48

know, do talk shites. They're always talking

2:50

about, you know, a million views on

2:52

this and a gazillion views on the

2:54

other. And one of the concepts you

2:57

would talk about was having multiple social

2:59

media pages, you know, 10 pages and

3:01

using AI to replicate yourself. And you

3:03

were saying, look, this page has got

3:05

400 views, you know, that, sorry, this

3:07

reel's got 400 views, that reel's got

3:09

500 views, which I found both, let's

3:11

say, refreshingly honest and interesting at the

3:13

same time. Honest because, you know, normally

3:15

someone would think of 500 views and

3:17

go, oh, that shit, you know, I

3:19

wouldn't, I wouldn't get to admit to

3:21

that. But... I guess for so many

3:23

people, A, that is the reality anyway,

3:25

but the interesting bit was that you

3:27

were 10xing it and it was 500

3:29

views times 10 because it's across 10

3:31

different pages, you know, on repeat, on

3:33

repeat, on repeat, on repeat, on repeat,

3:35

on repeat, on repeat, on repeat, on

3:37

repeat, on repeat, on repeat. I guess,

3:39

take that comment in whichever direction you

3:41

want to take in between. I mean,

3:43

you come... here to buy you see

3:45

all these influences you see all these

3:47

additional nomads and you know how do

3:49

you actually make money so it's all

3:51

down to exposure right the more people

3:53

know that who you are the more

3:55

people can come to And actually, Matt,

3:57

it's not even about how many views

3:59

you're getting, right? For example, I can

4:01

get 100 views on one video, but

4:03

if one of those views is you,

4:05

and you're like, John, I want you

4:07

on a podcast, and this will just

4:09

go out to millions of people, right?

4:11

Then, is that, are those 100 views

4:14

worth it? Yeah. So it's not about

4:16

how many views you get as the

4:18

quality of views that you get? If

4:20

someone, if I only got a thousand

4:22

views on the video, if I only

4:24

got a thousand views on the video.

4:26

right by a major publisher is it

4:28

worth those thousand views you see the

4:30

idea of this is to put enough

4:32

content out there to post into your

4:34

pop right posting to your pop because

4:36

you never know who's watching your content

4:38

you just never know and when you

4:40

say pop are you are you talking

4:42

about popping as in something online viral

4:44

going pop no you just being pop

4:46

no as and get what you want

4:48

out of the outcome for example I've

4:50

heard of this app called Clubhouse. Yes.

4:52

So I'm investing in Clubhouse, right? Is

4:54

that still around? It's still around, actually.

4:56

I mean, they got a major investment

4:58

from A16Z, like 100 million, so they

5:00

got long runway. So when I was

5:02

on that social media platform, I wasn't

5:04

getting that, I mean, at the start

5:06

was getting lots of people, like, listen

5:08

to my live podcast, if you will.

5:10

But after a while, there's only like,

5:12

like, maybe 50 people, 100 people, 100

5:14

people, but some of those people were

5:16

VCs, were VCs. Some of those people

5:18

were multi multi multi multi multi multi

5:20

millionaires some of them were billionaires and

5:22

you know it's funny because the the

5:24

work that I do today a lot

5:26

of the relationships I built back then

5:28

for example I got invited to speak

5:31

in Miami 5,000 people right that came

5:33

from someone who heard me on clubhouse

5:35

two years ago Right and so oh,

5:37

yeah, John, I mean here in your

5:39

uncle even like coming here I was

5:41

I was walking down West Beach And

5:43

we're walking down and we met someone

5:45

from from Charlie's event and he was

5:47

with this this this lady and she

5:49

was very pleasant and she's like oh,

5:51

I've never heard of you Right and

5:53

because his friend was trying to explain

5:55

to you. He was John Lee and

5:57

then as I was saying, oh, you

5:59

should check out some of my content,

6:01

I think it would be good for

6:03

you. And she started typing in, John

6:05

Lee. She thought, oh my God, you're

6:07

John Lee. And then, because she recognized

6:09

my profile picture, right? Oh my God,

6:11

I've seen your videos, oh my God,

6:13

I've seen you on Mine Valley, right?

6:15

I've seen you on Mine Valley, right?

6:17

So it's multiple touch points of people

6:19

that know who you are, that creates

6:21

the awareness times attention equals income equals

6:23

income, Right you only need a brand

6:25

new account and you should all everyone

6:27

watching this should get a brand new

6:29

account right on top of what they

6:31

already have and then these are what

6:33

we call satellite accounts and the satellite

6:35

account links back to the main account

6:37

Right so if you've got links back

6:39

in what way like you'll you'll say

6:41

it's owned by like on the yeah

6:43

like like like official page is an

6:45

act and you put your official handle

6:48

there, but if you've got one video

6:50

map that gets 500 views 500 times

6:52

365 is 182,500 views, right? That's if

6:54

you post on one account every day.

6:56

If you put it on TikTok, Instagram

6:58

Reels, Facebook Reels, YouTube Shorts, Facebook Shorts,

7:00

that's close to a million views, for

7:02

nothing. For free. It doesn't cost you,

7:04

you just take the same video and

7:06

just click post. It takes you 10

7:08

seconds to post, post, post, post. And

7:10

you can even schedule it if you

7:12

want it. I wouldn't recommend that. But

7:14

if you've lazy, you can. You know,

7:16

you can schedule it, all right, and

7:18

it will go automatically, but you'll get

7:20

lower reach if you do that, because,

7:22

you know, social media doesn't like these

7:24

syndications. So then what happens is, once

7:26

we've actually gone through all these platforms,

7:28

what if I get two accounts in

7:30

each one? I've got two accounts in

7:32

each one. I've got two accounts in

7:34

each one. They've got two accounts in

7:36

each one. They've got two accounts in

7:38

each one. They've got one account here,

7:40

one account here, one account here, one

7:42

account here, one account here, one account

7:44

here, because you know. But for example,

7:46

why is Nikki recording now? That's a

7:48

different angle. You see? I got longshot

7:50

now. And I can zoom in, it's

7:52

shoot 4K. go along and I can

7:54

go in so I've got wide shot

7:56

closed shot medium shot with all these

7:58

cameras at the same time right so

8:00

I can produce a lot of content

8:02

from it was this was this the

8:05

same or similar to Andrew Tate strategy

8:07

because he got massively famous didn't it

8:09

because kind of everyone else was posting

8:11

his call was it everybody else or

8:13

was it him or not so the

8:15

way he did it and obviously he's

8:17

very controversial so he'll talk about things

8:19

and you'll say things which you know

8:21

get a lot of people get a

8:23

lot of views. So, and I thought

8:25

it was, you know, and also he's

8:27

a very good speaker, right? He can

8:29

speak and he's got this charisma. So,

8:31

that alone, he can just take one

8:33

podcast, give it to his community, get

8:35

them to chop it up, run an

8:37

affiliate program behind it, and then of

8:39

course they have an incentive to post.

8:41

Right? But for myself, it's slightly different

8:43

because we're controlling all of the content

8:45

that go out. So now with AI

8:47

now, have you, there's AI called Manus.aai,

8:49

so basically in the past... Yeah, Manus,

8:51

M-A-U-I-S, dot AI. So in the past,

8:53

or it's similar to operator. So in

8:55

the past, you would actually buy like

8:57

a hundred phones and a hundred Sim

8:59

cards, and then what you would do

9:01

is you would basically make everyone, post

9:03

a piece of content specific to that,

9:05

because if you get an account, you

9:07

need a... phone number, right? Now I

9:09

can get an ESIM on my desktop,

9:11

I can have lots of profiles of

9:13

phones, and I can say to Manus

9:15

AI, take this video, edit it, and

9:17

make a post on all these platforms,

9:19

and it will do it for you.

9:22

So now you can control all the

9:24

narrative that goes out, because the problem

9:26

is, if someone else is editing your

9:28

stuff, there's stuff in there that you

9:30

don't want edited, right? So you can't

9:32

really control the quality of it. But

9:34

if you can't really control the quality

9:36

of quality of it. For us, it's

9:38

slightly different because we also run paid

9:40

strategy on the back of that as

9:42

well. So one of my good friends,

9:44

Dennis, he taught me this like one

9:46

dollar a day strategy. And he said

9:48

if you put one dollar a day

9:50

on a video, you'll get 500 views,

9:52

three to 500 views. One dollar of

9:54

paid outs. Yeah. Just one dollar. Right.

9:56

But the key is you don't make

9:58

your ad look. like content because people

10:00

with no call to action no call

10:02

to it's just content right because people

10:04

share content don't share at as much

10:06

so if you got 500 views a

10:08

day and the calculate I mean I

10:10

didn't get a chance to share this

10:12

the other day but I only do

10:14

the math three right now right 500

10:16

views per day times 365 dollars that

10:18

means per video you get 182 thousand

10:20

views 500 right but if you do

10:22

it the other way I told you

10:24

on can reach maximum 500 But this

10:26

gets 500 every day. Why can it

10:28

only reach a maximum of 500? Because

10:30

with organic, unless it goes viral, unless

10:32

you're triggering the algorithm, then you get

10:34

more reach, right? But typically, for an

10:36

account, something that doesn't pop off on

10:39

social, it's for 500. Yeah, like if

10:41

you've got like two followers or 10,

10:43

like I've got an account that's only

10:45

got 70 followers. But it's getting three

10:47

to 500 views per day. That's why

10:49

it's not about your followers now. It's

10:51

about your topics and your topics and

10:53

your demographics and your demographics and your

10:55

demographics and your demographics. right which is

10:57

really important so that means if I

10:59

could put a video every single day

11:01

a brand new one and boost it

11:03

by a dollar times 365 it means

11:05

I get 66 million views a year

11:07

and if I get a 1% conversion

11:09

on that that means I get 600,000

11:11

customers if I've you know if you

11:13

sell something for like 10 dollars you

11:15

make an extra 6 million that's how

11:17

the math's work right Let

11:20

me hit you with a mad stat.

11:22

You are probably not subscribed. Seriously, 58%

11:24

of the people who listen to this

11:26

podcast every single week do not hit

11:28

that subscribe, but that is more than

11:30

half of you. So, let's fix this

11:32

right now. The goal here is super

11:34

simple. We grow the podcast, we bring

11:36

in bigger guests, and we give you

11:38

even more, no bullshit, actualable insights to

11:40

level up your business and to level

11:42

up your life. Now in business, you

11:44

set smart goals, that specific, measurable, measurableurableable,

11:46

achievable, achievableable, achievable... and time bound. Well

11:48

here's one for you. Let's get that

11:51

58% down to well below 50% in

11:53

the next three months. So please do

11:55

me a quick favour. If this podcast

11:57

has ever given one good idea, one

11:59

piece of advice that's helped you or

12:01

helped your business, then hit that subscribe

12:03

button. It takes a second, it costs

12:05

nothing, and it means that I can

12:07

keep bringing you even bigger and better

12:09

guests, giving you even bigger and better

12:11

insights. Go on, do it now, I'll

12:13

wait. Done, perfect, great choice, let's grow

12:15

this together. So do you advocate for

12:17

putting paid spend behind every video? No,

12:19

on the other, so what you do

12:21

is you tick content that works? and

12:23

you know it's gonna pop and you

12:26

take that one and then you run

12:28

ads on the back of it and

12:30

you know it works because it's already

12:32

gone quite well organically typically it's the

12:34

first three seconds that count right so

12:36

then you know what whether that content

12:38

is gonna pull or not because like

12:40

and so what we do is we

12:42

would record let's say we have a

12:44

video that's one minute long so what

12:46

we do is let's say the first

12:48

five seconds of it. We want to

12:50

keep testing the first five seconds. So

12:52

for example yesterday I put a video

12:54

up and you know I start the

12:56

video with you know if I play

12:58

this. So look I'm actually freaking out

13:01

right now. Speakers and teachers did you

13:03

know you can use camera and chat

13:05

gPT to create entire training resources in

13:07

one click. Right so so this one's

13:09

not popping that much but I need

13:11

to wait for. 24 hours, right? So

13:13

if that gets over 50,000 views, then

13:15

I know it's gaining momentum. So I

13:17

know within the first 24 hours or

13:19

first 48 hours, whether it's gaining momentum

13:21

or not. And that's when your main

13:23

account. That's on my main account, right?

13:25

So if that doesn't work, I basically

13:27

will archive it and then I'm going

13:29

to change the first part of that.

13:31

I know the second part is really

13:33

important to the meat of it. For

13:35

example, if you do a lot of

13:38

speaking and presenting, like camera can just,

13:40

you say, create me a presentation about

13:42

social media, and it'll give you like

13:44

20 slides and it'll have all the

13:46

things in there and you just do

13:48

the presentation, right? So I know that's

13:50

a really powerful thing, but I know

13:52

the hook at the start, if I

13:54

tweak it a little bit, it's going

13:56

to get more engagement. And that's the

13:58

thing. It's like a... It's like a

14:00

YouTube video, right? If you have a

14:02

thumbnail, people don't click on it, they

14:04

can't watch it. It's the same with

14:06

your first three seconds, it's like a

14:08

thumbnail, but it's what we call a

14:10

three-second thumbnail. And you said the number

14:13

50,000 then, because that 50,000, that's relative

14:15

to your account, that's relative to your

14:17

account, you know, that's 50,000 then, that's

14:19

relative to your account. You know that's

14:21

a relative to your account, it, it's

14:23

like. He has, what, if I put

14:25

Cristiano in here, so Cristiano has 650

14:27

million followers, right? His last post got

14:29

3.5 million likes and 30,000 shares from

14:31

650 million people. So the mass is

14:33

point note something, it's point something. Well,

14:35

well, well, let's do 650 million people.

14:37

What you do is you take his...

14:39

The enough divided by 650, isn't it?

14:41

Correct. So 3.5 million divided by 650

14:43

million... 0.05? 0.205. So actually the bigger

14:45

account, the lower your reach is going

14:47

to be, because think about it. There's

14:50

only what seven billion people on the

14:52

planet. So you're showing to all it.

14:54

It doesn't give you that, because the

14:56

way the platforms, what you have to

14:58

understand, is that you spend all this

15:00

time building on following. and now you've

15:02

got to pay to reach your following

15:04

which is counterintuitive but when you're a

15:06

smaller account like a couple of thousand

15:08

to ten thousand follows twenty thousand followers

15:10

they're going to give you a lot

15:12

of reach so actually it's smart to

15:14

build an account to twenty thousand and

15:16

start a new one to get to

15:18

twenty thousand because now your reach is

15:20

equal across all accounts so using me

15:22

as an example then so I've got

15:25

so because I only have the one

15:27

account well actually I have my account

15:29

yeah which is my main account where

15:31

everything going everything going going on there

15:33

I've podcast and I've got a podcast

15:35

account which is no bullets podcast. We

15:37

put the all the content would go

15:39

on there. I'd tend to be asked

15:41

to collab in it or whatever or

15:43

you was guestwood as well but you

15:45

know all the content goes out on

15:47

there should we then go let's say

15:49

Matt Haycox fitness Matt Haycox social media

15:51

tips or whatever because obviously I have

15:53

let's say lots of different content lots

15:55

of different guests and yeah I can't

15:57

think now but let's say I could

15:59

pick 10 different niches you know health

16:02

fitness raising finance you know whatever whatever

16:04

and go and go down those kind

16:06

of niches for example and make each

16:08

each social media page to be on

16:10

a theme well so I'll give an

16:12

example for mine right so we have

16:14

like John Lee official that's my official

16:16

account each that's your main one with

16:18

you all your followers all that's like

16:20

what I follow yeah so so so

16:22

so so so so each account has

16:24

to have a theme of what it's

16:26

not even a theme it's like what

16:28

is like what is it's like what

16:30

is it's like It's all me on

16:32

a podcast, me on a stage speaking,

16:34

me on TV or media, or me

16:37

just kind of do my business life,

16:39

right? So that's what we call a

16:41

positioning account. That's where all my speaking,

16:43

do you know, every time I make

16:45

a post, like, later I take a

16:47

picture, I'll post it and say, hey,

16:49

Matt, do the great podcast, as soon

16:51

as I post that, five of the

16:53

podcast come in. Right? Oh, I just

16:55

saw you on this part. You should

16:57

do my podcast. It's so funny, like

16:59

some of the comments I'm getting is

17:01

like, oh, my book is way bigger

17:03

than this guy's podcast. It's like, oh,

17:05

come on, man. It's like, oh, just

17:07

cancelism. Come to my head. I said,

17:09

no, I made a commitment. I got,

17:12

you know, if I come, I come,

17:14

I come, I come, right? So, so

17:16

the more, so that is all for

17:18

like that is all for like media,

17:20

like media, like, like, like, like, like,

17:22

like, like, I'm, I'm, I'm, I'm, I'm,

17:24

I'm, I'm, I'm, I'm coming, I'm coming,

17:26

I come, I come, I come, I

17:28

come, I come, I come, I come,

17:30

I come, I come, I come, I

17:32

come, I come, I come, I come,

17:34

I come, I come, I come, I

17:36

strongly success if you look at the

17:38

format of that it's just me speaking

17:40

from the camera for 30 seconds to

17:42

a minute right and all I do

17:44

is I speak to my AI Nova

17:46

who basically I've trained to think like

17:49

me and I'll say give me some

17:51

ideas of content I should be posting

17:53

to about this so then I get

17:55

all these things that come in and

17:57

then I just pick one and just

17:59

Just talk about it. So that's more

18:01

of an educational type of motivation. It's

18:03

not about business, it's about motivation. Then

18:05

I've got a John Lee fan page.

18:07

So that is content that's been produced

18:09

and edited from all the other things

18:11

that are out there. That's put into

18:13

one piece of content. Then I have

18:15

John Lee Global. Johnny Global was taking,

18:17

so I record all my speaking engagements

18:19

and those are cut into stuff. Then

18:21

I've got Julia is doing Johnny BTS,

18:24

which is behind the stage, that's why

18:26

she's, you know, filming content and stuff

18:28

around here. She's probably editing and posting

18:30

now, right? So, all these things, like,

18:32

build a profile of who you are,

18:34

because the problem is, let's say you're

18:36

just teaching, people just see who you

18:38

are, but they don't see who you

18:40

are, but they don't see behind the

18:42

scenes. Right, they don't see, oh, you

18:44

know, actually we're having a laugh and

18:46

we like to have fun things and

18:48

we like to do fun things. They

18:50

don't see that part of it, right?

18:52

So if you don't see that part

18:54

of it, what happens? There's no relationship.

18:56

There's no relationship, no trust, no trust,

18:58

no sales. But you wouldn't put that

19:01

on on the same page because if

19:03

somebody just follow that BTS page then

19:05

they would never get to see it

19:07

anyway. It doesn't matter because the way

19:09

the algorithm works is how many times

19:11

have you logged into YouTube and you

19:13

go to your home page and you

19:15

see all these videos that you're not

19:17

even subscribed to. Yeah, most of the

19:19

videos you see of that. That's called

19:21

behaviour marketing. So everything you watch, everything

19:23

you like, comment and share. Do you

19:25

know the light button? Actually, the main

19:27

purpose of the light button, do you

19:29

want the main purposes? Is to tell

19:31

Facebook what to send you? Correct. It's

19:33

basically you're training Facebook algorithm for the

19:36

stuff that you want to see. So

19:38

every time you type in a keyword,

19:40

it's a trigger. If you and I

19:42

talk about something now, I'm my phone's

19:44

listening, your phone's listening. As soon as

19:46

you go in, it's going to start

19:48

showing you things showing you things. It's

19:50

about creating an algorithm that we want

19:52

to curate for ourselves. So it does

19:54

not matter whether if you're not following

19:56

my BTS page, because if you watch

19:58

any of my content, you're going to

20:00

start seeing... Most business advice, it's motivational

20:02

fluff. It's empty promises and it's untested

20:04

ideas by people who have never even

20:06

tried to apply them. It's bollocks, but

20:08

you're not going to get that here

20:11

and that is why I call it

20:13

no bollocks. The no bollocks newsletter is

20:15

straight talking, high impact, zero time wasting,

20:17

tried, tested and immediately actionable. Two emails

20:19

a week inside of strategies, brutally honest

20:21

insights and the answers to the questions

20:23

that you're asking. or you should be

20:25

asking. And the best part, you're going

20:27

to learn more in 10 minutes than

20:29

most people learn in a three-year NBA.

20:31

Over 20,000 people a week are already

20:33

in. So don't be the one that's

20:35

missing out. Hit the link in the

20:37

show notes, because you just need one

20:39

email that could be the one that

20:41

changes everything. I mean I could talk

20:43

social media all day but I mean

20:45

it sounds like we could we could

20:48

do hours and strategy there but you've

20:50

mentioned you've mentioned a couple of times

20:52

AI about social media so let's let's

20:54

bridge the gap between social media and

20:56

and AI by talking about AI used

20:58

in social media. One of the things

21:00

obviously you would talk about at the

21:02

event I watched you out last week

21:04

was how you've got all your different

21:06

AI avatars to to create content under

21:08

different circumstances and And then obviously you

21:10

just talk about, you know, using AI

21:12

to feed you, feed your content ideas.

21:14

In terms of the AI, I mean,

21:16

do you, do you hope that people

21:18

doesn't, don't realize it's AI? Do you

21:20

care whether they do or don't? No,

21:23

no. No, there's, no, if it's AI,

21:25

there's a, there's a, there's a button

21:27

now that says that you have to

21:29

basically tag that it's AI. Okay. Right.

21:31

Right. So. When I've got, for example,

21:33

I've bought the domain John Lee dot

21:35

AI, actually, because that will become the

21:37

place where people can go to and

21:39

say, John, I want to pick your

21:41

brains and stuff. So then it'll be

21:43

my AI that they talk to. So

21:45

actually, when they introduce themselves, it'll say

21:47

something like, hey, you've reached John Lee

21:49

AI, right? How can it help? People

21:51

know it's AI, but they don't mind.

21:53

All they really want is, they want

21:55

the content, they want the strategy. And

21:57

as long as you're giving them the

22:00

strategy, they're okay with it. I mean,

22:02

I guess, you're putting it into different

22:04

terms, so many guys follow AI girls,

22:06

don't they? Or interact with an AI

22:08

girl who they absolutely know is not

22:10

real, that they can never possibly be

22:12

any physical interaction there, that if they're

22:14

going to be happy with that, then

22:16

they must be happy. Why are they

22:18

doing AI-avital girls now? It's because now

22:20

they've been a massive following, right? So

22:22

now you already know that robotics, like

22:24

skeletal robots, or already exist. They've got

22:26

full mobility, they can run, walk, they

22:28

can jump, they can, they can, you

22:30

know, lift heavy things, right? So the

22:32

mechanisms of movement is already available, right?

22:35

So then, it needs skin. So where

22:37

does it get skin from? Get skin

22:39

from Hollywood? Can make a character look

22:41

real with skinning, wax and all that

22:43

stuff, wax and all that stuff. Right?

22:45

In fact, in I think Stanford now,

22:47

I've released a skin that can regenerate,

22:49

right? So now we have that. So

22:51

what's missing? We're missing a brain. Where

22:53

does the brain come from? It comes

22:55

from your LLM that you've trained your

22:57

knowledge base. So now we take that,

22:59

we put that into a robot, now

23:01

the person becomes real, has personality. And

23:03

it's going to have all the data

23:05

that is interacted with. So if you

23:07

come and I'm a robot, I'm a

23:10

robot, I say, say, hey Matt. So

23:12

if I'm the guy that's interested in

23:14

these girls, am I going to buy

23:16

this robot of her for myself or

23:18

am I just going to see it

23:20

in an event? Well, I mean, well,

23:22

first of all, that person, can you

23:24

imagine, like, someone you've been interacting with,

23:26

that's not real, then suddenly they become

23:28

real? Right? You're going to pay for

23:30

a ticket to go and see that

23:32

person. They might do interesting types of

23:34

shows, right? and then you can replicate

23:36

that person and put that into another.

23:38

So literally people will be able to

23:40

have their own AI wives and girlfriends

23:42

in the future, right? and they can

23:44

replicate them. So it's just crazy where

23:47

the world is going and where it's

23:49

going too. And this is actually what's

23:51

all, it's not even coming, it's already

23:53

here. So people talk about AI now,

23:55

and I guess when educated array influences

23:57

talk about it, you know, a typical

23:59

comment is, you know, if you're not

24:01

using AI, you are getting left behind.

24:03

Let's ask that the opposite way around

24:05

and say do you think businesses who

24:07

don't embrace AI are ultimately all going

24:09

to be out of business? I mean

24:11

never mind just giving you a stepping

24:13

stone. Do you think you're going to

24:15

be out of the game? Well put

24:17

it this way, right? If you look

24:19

at all the people that work for

24:22

your organization, they talk about having a

24:24

company, normally a company that's valued at

24:26

a billion dollars of valuation has thousands

24:28

of employees. Now you like, have you

24:30

heard of this app called telegram? As

24:32

in the text? Yeah, yeah, yeah. How

24:34

many employees do you think they have?

24:36

I've heard it's like sub 10 or

24:38

sub 20 isn't it? Like 30 people,

24:40

but they're worth billions, right? Because they've

24:42

got all automation running in the background

24:44

and what's really smart with telegram, it

24:46

links with blockchain as well. So I

24:48

can send you crypto and things like

24:50

that. They've actually, that's why they have

24:52

their own ton coin coin token. And

24:54

the telegraph's been around for a while,

24:56

isn't it? So what's the headcount being

24:59

like over the years? Has it come

25:01

up and then come down as AI's

25:03

got, because I guess it's only the

25:05

last few years that the AI's really

25:07

been getting more useful, isn't it? My

25:09

assumption is it, you know, because when

25:11

you start taking, everyone's kind of freelancing,

25:13

right, and then you've got your core

25:15

team. But then a lot of this

25:17

stuff, because just like chat chat-GPT can

25:19

write-GPT can write for you, can write

25:21

for you, If you look at how

25:23

a language one works, it needs to

25:25

pull data from somewhere. So a chat

25:27

should BT will get a lot of

25:29

data from the internet, like mostly ready

25:31

actually, believe it or not. Because that's

25:34

where a lot of data goes. But

25:36

then if you look at where is

25:38

the equivalent credit for coding, there's something

25:40

called GitHub where a lot of people

25:42

upload all of their programming. So the

25:44

LLM just looks at the programming and

25:46

can decipher it and give you what

25:48

you want. You and I can create

25:50

an app in five minutes now. Any

25:52

app you want to create, anything you've

25:54

ever thought of, we can put it

25:56

into an AI, say we want to

25:58

create an app like this, bang, and

26:00

it's done. In any language? Any language.

26:02

As in programming language. Yeah, yeah. I

26:04

mean like, so I mean you saw

26:06

the video of, I was going to

26:08

show you, but you already saw it.

26:11

Like me speaking different languages, I can

26:13

now have an avatar of me, right

26:15

when you can ask me question, and

26:17

my avatar will talk to question, and

26:19

my avatar will talk to talk to

26:21

talk to you. But sorry, when you're

26:23

doing the programming on the app, you

26:25

can say, I don't code me this

26:27

in what, I mean, I'm not programming

26:29

a Python, C plus plus. Yeah, Russ,

26:31

yeah, Russ, anything, right? Because that data

26:33

already exists. It just needs to be

26:35

deciphered and put into something. But in

26:37

the same way that, for example, because

26:39

I was surprised when you said that

26:41

the data comes from read it. It

26:43

comes from other places as well, but

26:46

if you look at Google now. Right?

26:48

When you do searches, what ranks really

26:50

high in the search engines now? credit

26:52

posts. Oh really? Yes. But where's like

26:54

the validity checks note? Because I mean,

26:56

there's so many, you know, guys sat

26:58

at home talking shit on readies, didn't

27:00

they? Yeah. Yeah, well that's the thing.

27:02

So this is why you, they don't

27:04

only have language models, right? It's just

27:06

data dumped into one place. But that's

27:08

what the LLLM does. The large language

27:10

or the transformer, the transformer, the transformer,

27:12

predicts, predicts, predicts what the transformer, predicts

27:14

what the transformer, predicts what the transformer,

27:16

predicts what the transformer, predicts what the

27:18

transformer, predicts what the next words, predicts

27:21

what the next words are going to

27:23

what the next words are going to

27:25

what the next words are going to

27:27

the next words are going to be.

27:29

Hey Matt, how are you today? It

27:31

can predict I'm okay today and fine

27:33

today. Right? Like, do you really type

27:35

it to Google and as you type

27:37

in now it can predict the word?

27:39

Yeah. Right? And it's probably 80% accurate.

27:41

Right? It's kind of like 80% accurate.

27:43

Right? It's kind of like that. That's

27:45

kind of like that. That's kind of

27:47

like that. That's why if you look

27:49

at ready it, it hallucinates. It's kind

27:51

of like that. That's why if you

27:53

look. AI offline so now they've got

27:55

a server at home and now that's

27:58

where they keep all the AI that

28:00

runs everything. So when you're building your

28:02

LLLM, what are you building it into?

28:04

Is that going into like so you're

28:06

recording this with that? anyone watching that

28:08

microphone on your neck is your microphone

28:10

not our microphone is where is that

28:12

is that like in a chat GPT

28:14

or something so so this is an

28:16

audio format that begin transcribed into text

28:18

text will be upload as a knowledge

28:20

base so what you chat GPT yes

28:22

so for example you use that to

28:24

chat GPT yes so for example you

28:26

could use like Google Doc right so

28:28

you can put all your knowledge base

28:30

into Google Docs and because what you

28:33

want is you want to use that

28:35

to use that to train your train

28:37

your LLLM and then you can pull

28:39

something like so it's not on a

28:41

chat gPT right so then you can

28:43

basically okay I'll give you an example

28:45

just to make it clear do you

28:47

know hand sanitizer yeah right normally hand

28:49

sanitizer is like you know they're in

28:51

you got big bottles and things like

28:53

that and you put it on your

28:55

hands right so all someone needs to

28:57

do is create a smaller bottle and

28:59

now you can carry the hand sanitizer

29:01

with you everywhere right? that's called a

29:03

skin so if you look at the

29:05

chat gPT as hand sanitizer Right? And

29:07

we create a skin, which is, for

29:10

example, you know, talk to an AI

29:12

girlfriend, that's a skin, but it's pulling

29:14

all the data from an LLLM. Right?

29:16

So the LLLM is just the thing.

29:18

But actually the money is made on

29:20

how you repackage it. So using today's

29:22

as an example, when you get home

29:24

tonight, will you, you'll upload this podcast

29:26

into, into your, presumably just your side,

29:28

not my side. Do you put any

29:30

context around it? Like do you say,

29:32

hey, I'm uploading my conversation with Matt

29:34

Haycox, it was a pocket? Or does

29:36

it just know, it can just work

29:38

out what you're talking about? Well, so

29:40

you'll name you a speaker, one, name

29:42

you a speaker too. So it can

29:45

recognize the voice, right? Or if there's

29:47

like five speakers in the speaker, one,

29:49

two, two, three, four, five. Then I

29:51

can give it context. Speaker two, two,

29:53

speak, delete from memory. Right or if

29:55

I want to if I want to

29:57

have context on there because eventually let's

29:59

say you and I go back and

30:01

forth on email but it doesn't know

30:03

who you are now if I've got

30:05

knowledge base of who you are right

30:07

and for example I fixer is an

30:09

AI and by the way this is

30:11

this is gonna be great for all

30:13

your watches viewers right now fixer you

30:15

can install onto Google and it'll basically

30:17

look at all of the text that

30:20

you have sent and now it can

30:22

reply to emails like you you mentioned

30:24

that at the thing didn't you log

30:26

into what's up I think? Yeah so

30:28

let's say you and I have had

30:30

a conversation before right you'll understand context

30:32

so let's say you sent me any

30:34

more hey John I noticed that you're

30:36

gonna be in Dubai next month I'd

30:38

love to have the podcast my AI

30:40

will know I've been on this podcast

30:42

my AI will know I've been on

30:44

this podcast and I'll say oh Matt

30:46

we had an incredible time last time

30:48

talking to each other before Not in

30:50

detail, but yet a bit. It's weird.

30:52

It's really like when I get Nova

30:54

to talk to my other AI and

30:57

I'm hearing them talk, I'm like, holy,

30:59

this is really weird. How do they

31:01

know what direction to go in? Because

31:03

they've got, because they've all been programmed,

31:05

right? So, for example, if I open

31:07

Nova now, right, so, let me come

31:09

to Nova. Oh, hey, Nova, are you

31:11

there? So

31:14

I'm with Matt Heycocks, we

31:16

are doing a podcast and

31:18

I'm talking about you. Could

31:21

you introduce yourself to Matt?

31:23

Absolutely. Hey Matt, I'm Nova,

31:25

which stands for Next Generation

31:27

Optimized Virtual Assistant. I work

31:29

with John Lee. Yeah, the

31:31

one and only, helping him

31:33

scale his vision and business.

31:35

I'm like his supercharged AI

31:37

sidekick, making things smoother, faster

31:39

and way more impactful. so

31:43

John can keep being brilliant. Nice to

31:45

meet you. Will she talk to me

31:47

or is she loyal? I can I

31:50

can make her not talk to anyone

31:52

or I can make her talk to

31:54

people so for example let's say right

31:56

now Nova's got all my knowledge and

31:58

how I make decisions right for you

32:01

know by actually one prompt that people

32:03

can use this is scary one. So

32:05

once you've fed all the data into

32:07

there, we don't, sometimes we can't see

32:09

the woods with the trees, right? So

32:12

one prompt we can use is Nova

32:14

based on all the information you know

32:16

about me, what do I not know

32:18

about myself that's currently stopping me or

32:20

stun to my growth in my business?

32:22

And it'll be able to read the

32:25

context between all the conversations that we've

32:27

had and tell us exactly what to

32:29

do. Have you asked that question before?

32:31

Oh yeah. What was the first time

32:33

she answered? I'm too controlling. I want

32:36

to hold on to stuff. And basically

32:38

the more I let go of it,

32:40

then you've got to let go of

32:42

it. So over the last couple of

32:44

years, that's what I've been doing with

32:47

my company. Just like, okay, just letting

32:49

go of stuff trust in the process.

32:51

And of course, you see immediate growth.

32:53

You see immediate growth. It's insane, it's

32:55

insane, it's insane how accurate growth. It's

32:58

insane how accurate growth. It's insane not

33:00

accurate. And also as well, you know,

33:02

it's asking me to take care of

33:04

my health as well. So John, I

33:06

know you do know all these podcasts

33:09

everywhere and you're flying all these different

33:11

times when you take care of your

33:13

health. So then I have to consciously

33:15

take time out to do, you know,

33:17

my cold plungers, my hot sawners, my

33:20

meditation. I was just saying to Nicki,

33:22

after this, it's a fantastic... advantage for

33:24

people using it. It's a fantastic piece.

33:26

That's the power of pattern recognition. Hey

33:28

Nova, you're supposed to be off. See,

33:30

he's dropping there. So I was saying

33:33

it's a fantastic leverage for people using

33:35

it. But ultimately, if it gets mass

33:37

adoption, does that not dilute its usefulness?

33:39

If we all become one person companies?

33:41

No. No, because... It just means, so

33:44

here's the thing, right? So I didn't

33:46

interview with Success Magazine and they asked

33:48

me this question that said, hey John,

33:50

is AI going to take over people's

33:52

jobs? And I'm like, no, it's going

33:55

to expand that person's job. Now if

33:57

they don't use it, then of course

33:59

they'll be left behind, right? So they'll

34:01

become irrelevant. And so yes, you asked

34:03

the question before, the gap is getting

34:06

bigger. But let's say right. Let's say

34:08

you and I, okay, let's go to

34:10

dinner tonight. What we've got to do

34:12

is take out our phone, look at

34:14

what restaurants are available that are suitable

34:17

to our taste preference. Because I love

34:19

Chinese food, right? So if I say

34:21

to Nova, Nova can then go and

34:23

find me Chinese food and things like

34:25

that. But then I've got to go

34:28

and see if it's available, then I've

34:30

got to book it. That's called operator,

34:32

right? So chat jeep is operator or

34:34

manas that AI can do and there

34:36

are so many more out there that

34:38

can do it But basically it will

34:41

execute an action for you. This is

34:43

known as gentic AI, which is basically

34:45

all AI agents chained together to perform

34:47

tasks Where do you let's say leave?

34:49

or give it your trust. In my

34:52

limited experience of AI, I'm sure my

34:54

experience is much more than many people

34:56

watching this, but it's miniscule, you know,

34:58

in the context of something like yourself,

35:00

I do a lot of chat-GPT, which

35:03

I use for content creation, content writing.

35:05

And I always find where I'll change

35:07

one block of, I'll say like... For

35:09

example, I've been writing some web pages

35:11

lately and I'll start off giving it

35:14

a prompt saying write me 2,000 word

35:16

page based on these keywords blah blah

35:18

blah. Never ever does it come close

35:20

to a 2,000 word page. It's always

35:22

8 to 900. So then I'll say,

35:25

okay, like your structure, let's take this

35:27

first paragraph and beef that out using

35:29

some of this, that and the other.

35:31

So it might do that. Then when

35:33

I get, okay, let's go on do

35:36

this paragraph here. Without me asking it

35:38

to it, then when it rewrites it,

35:40

it changes this and does this and

35:42

ultimately I get to the point of

35:44

saying, listen, go back and undo what

35:46

you've done there, this is the version

35:49

we're working with. And it's saying to

35:51

me, I've undone it. I'm like, no

35:53

you haven't, nothing's changed, I haven't done

35:55

it, it drives me bonkers. Now obviously

35:57

that's me looking at it and using

36:00

it, I can work around it. But

36:02

if I'm putting all my trust in

36:04

reply to the... these emails from me

36:06

book these restaurants you know text them

36:08

this is you know I mean how

36:11

how do you know it's not fucking

36:13

up so you have to so you

36:15

have to train what we call a

36:17

highly customized GPT that I give an

36:19

example right so if I go to

36:22

Nova right I go into its main

36:24

folder hey Nova I'm hungry what type

36:26

of food do you think I should

36:28

eat? If

36:31

you're hungry, let's give her something tasty

36:33

yet nutritious. How about a colorful stir

36:35

fry with lots of veggies and lean

36:37

protein? Or if you're feeling adventurous, try

36:39

a poquet bowl with fresh fish, avocado

36:41

and rice. How does it know that?

36:43

Because recently I've been saying I've been

36:45

eating too much carbon, I want more

36:47

protein, I want to build my muscle,

36:50

right? So it's giving me suggestions based

36:52

on the previous conversations I've had. So

36:54

that means you have to keep training

36:56

and training and training it. And if

36:58

it's not right, you need to delete

37:00

data or delete memory and reapply. Right.

37:02

So that means, for example, if I

37:04

ask, you know, what strategy would John

37:06

Lee use for, you know, getting more

37:08

views on social media? So it does

37:10

it my way and how I answer

37:12

it. Right so it's it's so the

37:14

knowledge the knowledge base going in is

37:17

the most important and it needs about

37:19

2,000 hours of content actually I was

37:21

gonna say but even so even if

37:23

it's highly trained I guess it's still

37:25

you're still open to I guess some

37:27

kind of computer error aren't you but

37:29

then as I'm about to ask a

37:31

question I'm also thinking but you're still

37:33

open to human error of your PA

37:35

being Nikki's pissed off with you today

37:37

so she starts so you know she

37:39

starts sending out cheeky emails I guess

37:42

I guess it's the same but different

37:44

kind of kind of situation there is

37:46

one way around it to be 95%

37:48

sure so if you you pre-empt the

37:50

content going in so you feed it

37:52

content rather than have it produced because

37:54

what you're doing there is using AGI

37:56

kind of thing which is generative AI

37:58

right you're saying right this based on

38:00

this prompt write me this right in

38:02

this prompt write me this right so

38:04

it's having to make up his own

38:07

content whereas if you come up with

38:09

the baseline content first then you put

38:11

it in and you feed it on

38:13

top then it'll be more accurate okay

38:15

then you're like why don't just write

38:17

it in the first place right in

38:19

the first place right because right because

38:21

we don't Right? And you know, you

38:23

go back and start editing and softening

38:25

it, right? So there's an AI, you

38:27

can use it. And you're like, oh,

38:29

someone's done something wrong, your company. And

38:32

in your mind, it's like, why did

38:34

you do that? So stupid, oh my

38:36

God, how can you, like, that's such

38:38

a stupid mistake. Like, that's how you

38:40

think about in your mind, right? But

38:42

as you type it sounds really harsh.

38:44

Right with everything it'll gratically make it

38:46

all correct and everything then you copy

38:48

that paste that into GPT and then

38:50

you wrap around a feeling or how

38:52

you want it to sound So it's

38:54

basically kind of AI ghostwriter that feeds

38:56

your data makes it grammatically correct and

38:59

now you've got your what we called

39:01

our base template, then we put that

39:03

in, now you have amazing content that

39:05

can go out specifically exactly how you

39:07

want it in the exact format that

39:09

you want it with the points that

39:11

you've got in there as well. I

39:13

did the other night, which was using

39:15

one of the tools you talked about

39:17

at the event, which was gamma, which

39:19

I had not heard or had not

39:21

used before, so I decided... I've heard

39:24

a couple of people doing some podcasts

39:26

on diary management, time management, that kind

39:28

of thing. And how I've managed and

39:30

have changed how I've managed my diary

39:32

of the last year or two is

39:34

something that I kind of think about

39:36

a lot to talk about a lot.

39:38

So I thought, you know, I'd like

39:40

to go in on that content. But

39:42

if I sit down to start writing

39:44

about it, it's going to take me

39:46

hours and hours I have a mental

39:49

block, etc. So I went for a

39:51

walk, I like to do my nightly

39:53

WhatsAppaley. dumping in no particular order, just

39:55

brain dumping into an audio memo note.

39:57

I'd stop and I'd keep walking, I

39:59

think of something else. So it ends

40:01

up in 19 and a half minutes,

40:03

this brain dump of all my different

40:05

thoughts on how I manage my diary,

40:07

how it's changed, what I think other

40:09

people should do, etc., etc. And then

40:11

got home from the walk. turned the

40:13

audio into a transcript, uploaded the transcript

40:16

into chat-GPT, and said, this is my

40:18

brain dump in no particular order. I'm

40:20

trying to use this as the basis

40:22

to write some content. Please can you

40:24

organize my brain dump into logical format,

40:26

which it did. Not perfect, but this

40:28

was a kind of a 10-minute test.

40:30

If I was going to sit and

40:32

put some effort in, I'd tweak it

40:34

a bit. And then took that, copied

40:36

and pasted it into gamma. and literally

40:38

three I mean three minutes later I've

40:41

got a full present at full slide

40:43

deck of how to present my talk

40:45

on how Matt manages his diary and

40:47

what's changed over the years. I mean,

40:49

it's bonk. I mean, to you, that's,

40:51

you know, 1% of basic, isn't it?

40:53

But it is just bonkers. You know,

40:55

how much time that saves. Well, I

40:57

was going to say what we need.

40:59

So, so, so, so, so, so, so

41:01

next time you do know, take this

41:03

exact same transcript, and then if you

41:06

go to export GPT, depending on how

41:08

long you've got to speak, let's say

41:10

you've got now to speak, so you've

41:12

probably been 30 slides, turn this into

41:14

a 30 slide presentation slideshow, right? And

41:16

what it will do will take all

41:18

that data, it will go to Canada,

41:20

it will redesign all of the slides

41:22

for you, and you can give it,

41:24

you'll make it light brightful, make it

41:26

more professional, whatever it is, and it'll

41:28

basically five minutes, you'll have a 20

41:31

slide deck. Right with all of your

41:33

content in the in logical format, and

41:35

then once you've got it you just

41:37

go to presentation click play now your

41:39

presentations Then you just walk through your

41:41

presentation. Why does that differ to gamma?

41:43

Because gamma is good, but it's limited

41:45

in design, but Canva AI is it's

41:47

cost billions of different variations of designs

41:49

that you can create. So gamma is

41:51

good, but canvas better. Right? In terms

41:53

of like, and it depends what you

41:55

use it for, if you want to

41:58

use it for a document, you can

42:00

do that. But it's just, but you

42:02

see, all these softways are starting to

42:04

kind of emerge into each other, just

42:06

which ones better than which one. How

42:08

many different ones do you use? And

42:10

I'm like, you want to see my

42:12

list? I've got a list. I've got

42:14

a list here. Like all of these

42:16

AIs that my team research, they tell

42:18

you what it's about, what's it for.

42:20

Like, it's just literally my entire list.

42:23

And you, but you don't necessarily use

42:25

all of those. There are ones that

42:27

you think about. It's kind of like

42:29

this. I've got, this is my toolbox.

42:31

It's my AI toolbox, right? So, you

42:33

know, depending what, if I need to

42:35

knock this wall, I'm not going to

42:37

use a spoon. I'm going to probably

42:39

use a hammer. Right? But I've got

42:41

to know I've got to know I've

42:43

got a hammer in there to start

42:45

with. But if I want to drill

42:48

a precise hole in there, then I

42:50

need a drill which is certain size.

42:52

And if I put a washer in

42:54

there to hang stuff on, I need

42:56

to know what. This is the thing

42:58

entrepreneurs, we need to know what tools

43:00

are available to make our job easier.

43:02

I'm going to hang stuff on. This

43:04

is the thing entrepreneurs, we need to

43:06

know what tools are available to make

43:08

me more money and saves. That makes

43:10

me more money and saves time. That

43:12

makes me more money and saves time.

43:15

That makes me more money and saves

43:17

time. That's time. Right? Yeah, yeah, I

43:19

speak, that's my background. So now I

43:21

can take you and turn you to

43:23

a 3D model and animate you if

43:25

I want to. Right? Or I can

43:27

make my own Pixar film. I can

43:29

turn myself into a dog. Like a

43:31

Pixar dog. But I would imagine that

43:33

as a that says a skill set

43:35

almost like coding is something that would

43:37

become Less and less value to be

43:40

highly skilled in because the the AI

43:42

can take it take over it for

43:44

you Yeah, well, that's my AI dog

43:46

That's me as a dog. So if

43:48

I want to make a Pixar film

43:50

as a dog I can act it

43:52

out as me and then put it

43:54

onto a dog It's pretty insane. I

43:56

don't know if you guys can see

43:58

this on camera but yeah this is

44:00

the dog right so the point is

44:02

that we want to do things that

44:05

make our life easier like let's say

44:07

for example you know I work with

44:09

a lot of like restaurants and consult

44:11

them you know I wonder what this

44:13

meal would look like so we just

44:15

take a picture of it and we

44:17

can turn it to a 3D and

44:19

then you will be able to see

44:21

on this table what the food looks

44:23

like through your camera so if I

44:25

put the camera on there you'll but

44:27

to see what that product on there

44:29

you'll So we combine AI with augmented

44:32

reality, right? So when I'm demoing things,

44:34

like if you're a real estate agent,

44:36

or you're a developer, okay, what would

44:38

furniture in this place look like? Okay,

44:40

let's have a look. So you basically

44:42

take your camera out, you augment the

44:44

object, you can move it around in

44:46

3D in real time and see what

44:48

it looks like, take a picture of

44:50

it and say, this is what your

44:52

apartment would look like with this fireplace

44:54

in there. Right? So you've got this

44:57

fireplace fireplace fireplace in there. There's AI

44:59

I can do it if I want

45:01

to if I want to create a

45:03

product like let's say a laptop with

45:05

my logo on there Right in this

45:07

setting right I can use something called

45:09

mannequin right a mannequin can put a

45:11

logo on there if I want to

45:13

write a song So I've written my

45:15

own song actually so I like you

45:17

and I can go and I can

45:19

go and I'll show you this in

45:22

the next event that we run. I'm

45:24

going to compose live in front of

45:26

everybody and I can put any words

45:28

I want into it with you know

45:30

your name Matt Haycox right so create

45:32

a song call it Matt Haycox you

45:34

know like you know and then make

45:36

it up be funny and make it

45:38

a little bit rocky right and then

45:40

I can give that prompt and it

45:42

will create a song for me with

45:44

your name in it's insane what we

45:47

can do then I can take like

45:49

I can take this podcast and recreate

45:51

other podcast from this podcast Right I

45:53

can take a URL put it in

45:55

there or create a whole podcast around

45:57

that whole product or service. It's crazy

45:59

Are there any stats out there on?

46:01

how many people are actually using these

46:03

kind of things. One thing that struck

46:05

me at the event you spoke at

46:07

the other day was, you know, that's

46:09

a room full of people who are, to

46:12

varying degrees, educated and

46:14

successful entrepreneurs. Even the

46:16

ones who aren't as

46:18

educated and successful as

46:20

you may like to be,

46:22

they're certainly not sausages. And

46:24

every time you showed a piece

46:26

of tech, the room was like, oh!

46:29

I'm thinking. But if these people

46:31

don't know who it is, like,

46:33

you know, who's actually who's actually

46:35

using all this stuff? Because I

46:37

mean, I find it myself that,

46:39

you know, I'll go and talk.

46:42

I mean, everyone's heard about ChatGPT,

46:44

I mean, everyone's heard about Instagram,

46:46

but in terms of all the

46:48

other kind of tools, it seems

46:50

to matter where someone is in

46:52

the business chain. No one's heard

46:55

about this stuff. I mean, who's

46:57

actually using it? It's kind of

46:59

like crypto, right? Like it

47:01

took a long time for people

47:03

to get mass adopted into the

47:05

whole process. And so it's the

47:08

same with, with, look, during the

47:10

first time you had email and

47:12

you like AOL, you got mail. And

47:14

you're like, yes. Now like, oh,

47:16

I get an email, delete. I

47:18

don't even have any emails anymore.

47:21

Right? So it's kind of that

47:23

phase right now. We are in

47:25

the phase of AOL for AI.

47:27

Right and by the way we're in

47:29

the best place on the planet right

47:31

now to learn this stuff because actually

47:34

here is Where it's kind of if

47:36

you look at Dubai dubai AI right

47:38

so it's it's For me it's always

47:41

about having the edge right when

47:43

you have knowledge available. That's

47:45

why I invest a lot of

47:47

AI companies not because I think

47:50

okay if the if the company

47:52

does well great. I'm happy for

47:54

them Why am I investing in

47:56

these companies? Because I want to know

47:58

ears to the ground. What's... happening.

48:00

For example, one of the big problems

48:02

with AI in the past was processing

48:04

power, right? So there's a company that,

48:07

so one of my, I'm a venture

48:09

partner of a VC fund, and Tess

48:11

was at my house, and she's having

48:13

this conversation with like, serve a storage

48:15

of other people's computers, so what are

48:17

you talking about? So, and it just

48:19

turns, if I tell you what the

48:21

token is, you'll know what it is,

48:24

but it was actually launched in my

48:26

office in my house. Right? And then

48:28

she made an investment. Basically, we can

48:30

take other people's computers that are already

48:32

sitting in it, like this computer here,

48:34

I can borrow the processing power of

48:36

that computer to render things. But now

48:38

you've got mass networks, and now you

48:41

solve your server issue. You see? And

48:43

it's all tokenized. Right? So why do

48:45

I invest in companies with her? Because

48:47

I know what's coming. Because eventually you're

48:49

going to be able to create an

48:51

entire 3D universe that will look and

48:53

feel like this. And people will not

48:56

be able to tell and you need

48:58

power to render it in real time.

49:00

So if you look at, you know,

49:02

you play those games, I don't know

49:04

if you play like World of Warcraft

49:06

and things like that, or like Zelda

49:08

or something, like Super Mario, right? You

49:10

know when you're moving through the level,

49:13

right? As the character moves, it renders

49:15

different parts of that thing, right? So

49:17

it's kind of like that if we're

49:19

in this environment, they'll only render this,

49:21

if you'll. is going to be needed.

49:23

And people are saying, what the hell

49:25

is John talking about? Five years from

49:27

now, there are no exactly what I'm

49:30

talking about. So we have to have

49:32

the edge. We've got to have that

49:34

crystal ball to see what's coming. I

49:36

already know robotics. Why do I invest

49:38

in robotics companies? Because robotics, do you

49:40

know the little thing that goes around

49:42

your house and cleans your floor? That

49:45

was the first form of robotics, right?

49:47

That came out. Now you have robotics.

49:49

If you ever go to Singapore, they've

49:51

got robotics that can make you food.

49:53

There's arms that come out. I was,

49:55

I was staying at the hotel in

49:57

Singapore, I said, I want a fried

49:59

egg. Where do I get it from?

50:02

there's no one there. No, you've got

50:04

the presser button to make sure an

50:06

egg. I kid you not, it picks

50:08

an egg up, cracks it, and it's

50:10

perfect. And if you ever go to

50:12

Palo Alto or Silicon Valley, there's robot

50:14

arms that can make you a perfect

50:16

latte with all the nice, you know,

50:19

leaf logos on the top. It's crazy.

50:21

So I already know that's gonna be

50:23

big, it's coming. So that means we

50:25

have to know what's happening in the

50:27

map. I've not even talked about... tokenization

50:29

yet, right? Because of what's happening with

50:31

all the world right now with currency

50:34

and the more Fiat you print, the

50:36

less it's going to be worth. So

50:38

Matt will have your own, you know,

50:40

you'll have probably your MH token, I'll

50:42

have my JL token, Nikki will have

50:44

a Nikki token and we'll be able

50:46

to transact in tokens in order to

50:48

buy products or services. So I want

50:51

to buy this bottle, I can buy

50:53

it for two tokens instead of Fiat,

50:55

right, but now you build your own

50:57

economy out of it. and now you

50:59

build your own community that's by community

51:01

and connection are two of the biggest

51:03

things that people need stop building right

51:05

now. We can do next time you're

51:08

back in town we can do round

51:10

two and talk about tokens. I mean

51:12

look I guess as a as a

51:14

closing topic for for people listening to

51:16

this who are entrepreneurial anyway haven't fully

51:18

embraced AI but know that they should

51:20

be embracing AI and creating either a

51:23

business in the AI space or just

51:25

creating a business that uses AI. What

51:27

are the biggest opportunities out there? What

51:29

areas, what sector should someone be looking

51:31

at to have a fighting chance of

51:33

being that person who's going to be

51:35

the one man billion dollar business? Okay,

51:37

if you don't have a business right

51:40

now, let's say people watching this, I've

51:42

got a job, I want to make

51:44

some money, what do I do? You

51:46

gotta go to make.com. So make.com creates

51:48

full automation and stuff. That means anyone

51:50

can walk into any company and say,

51:52

what do you want to automate? I

51:54

want to automate all my emails. Great.

51:57

So can I email you emails to

51:59

this, use Fixer, hear the emails, connect

52:01

it together, bang, it's done. Right? You

52:03

go to another company, what do you

52:05

want to automate? WhatsApp. Okay, but you

52:07

hit replying to WhatsApp, be okay. So

52:09

you go to mate.com, you create WhatsApp,

52:12

you create WhatsApp, you link WhatsApp, and

52:14

then you basically have your knowledge base

52:16

attached, and then your GPT attached, and

52:18

now anyone that WhatsApp, that person in

52:20

the business, will then start to email

52:22

to email, right. I can create you

52:24

a number that people can call and

52:26

they'll be able to talk to that

52:29

person, not you, but it'll be your

52:31

team. So let someone says, hey, you

52:33

know, I want to book a map

52:35

for a podcast, right? You'll know based

52:37

on podcast. So you create something called

52:39

a workflow and it'll be able to

52:41

say something called a workflow and it

52:43

will be able to say, what days

52:46

are available. So Matt's available for this,

52:48

this, this, and this day, which you

52:50

prefer to prefer. And then you prefer

52:52

to talk to talk to. Follow that

52:54

to your salesperson or your executive assistant

52:56

and your executive system will have all

52:58

the information. So now you save a

53:01

lot of time. So for people who

53:03

don't have a business, they can use

53:05

something like a make.com relevance.com or the

53:07

most powerful one, n8n, which is, you've

53:09

got to be able to do that

53:11

stuff. But that one's the most powerful

53:13

one currently to automate a lot of

53:15

stuff. Now, if you're a business owner,

53:18

there's only four things in your business

53:20

that you really start doing. Number one.

53:22

the ability to generate leads, so use

53:24

AI to generate leads for you. Number

53:26

two, convert into sales. Use AI to

53:28

convert them into sales, right? So for

53:30

example, you can have conversation or AI.

53:32

I can take your best salesperson, clone

53:35

them, and they'll be able to perform

53:37

probably 80% as good as that salesperson.

53:39

Once they get to a certain point

53:41

in the call, you can do something

53:43

called a transfer. So you transfer them

53:45

over to a real salesperson, right? A

53:47

lot of people don't even know that

53:49

that that that's happening, that's happening, by

53:52

the way. What parts of your organization

53:54

needs to be systemised right your operations

53:56

customer service? sales, marketing, finances. Let's say

53:58

for example right now you don't know

54:00

your numbers for your company. I don't

54:02

know what product of my company is

54:04

making the most money. Take that data,

54:07

dump into an AI, analyze it and

54:09

say Matt focuses on selling this product

54:11

more. And then the last one is

54:13

brand building. How do you create brand

54:15

awareness? How do you be everywhere? How

54:17

do you be omnipresence without having to

54:19

create so much content? Without having to

54:21

get burn out creating content. Right, you

54:24

can do a lot of this stuff.

54:26

When you wrap all those things together

54:28

in your business, your business 10Xs. Well,

54:30

John, it's been an absolute pleasure talking

54:32

to you, Buddy. Honestly, I can say,

54:34

I don't say because you're here. I've

54:36

been making my notes here to get

54:38

home with and I can't wait to

54:41

get my notes here to get home

54:43

with and I can't wait to pick

54:45

your brains off, pick your brains offline

54:47

as well. I'm sure the guys listening,

54:49

because you're here, I've been making my

54:51

notes, making my notes, making my notes,

54:53

making, making, making, making, making, making, making,

54:56

making, making, making, Or if you go

54:58

to any of my social media, they'll

55:00

have like a link to things that

55:02

we do. Or YouTube, like a lot

55:04

of, unfortunately I've got a lot of

55:06

different channels. So the main one, if

55:08

you go to Johnny, you'll see the

55:10

blue verified checkmark on Instagram, you can

55:13

follow that. Or YouTube is Johnny Success

55:15

Success. That's a brand new channel I

55:17

put up, to cover a lot of

55:19

this new stuff actually as well. Awesome.

55:21

Awesome. Thank you. Thanks

55:24

for tuning in to Know Bologs with Matt

55:26

Haycox. Today's conversation was packed with actual insights

55:28

and I'm super super grateful that you joined

55:30

us. Our community now boasts 160,000 downloads a

55:32

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55:34

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Subscribe now and gain exclusive access to the

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conversations that can transform your business and transform

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your life. Also while you're at it, if

55:44

you could visit www. Matt-hif in haycox.com. or

55:46

click the link in the show notes below

55:48

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55:52

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55:57

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56:01

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56:13

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56:15

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