June 1, 2025 • 50 mins
Step beyond the ChatGPT basics and into the revolutionary world of AI agents – the digital workforce that's about to transform how businesses operate forever. While most people are just getting comfortable with simple AI interactions, forward-thinking entrepreneurs are already deploying sophisticated AI agents that function like full-time employees.
This episode peels back the curtain on what's possible with AI agent technology right now. Discover how these digital workers can access your email, calendar, CRM, and other tools to autonomously handle tasks that previously required human attention. From scheduling meetings and responding to emails in your voice to generating proposals and making outbound calls, these agents represent a quantum leap in automation capabilities.
The economic implications are staggering. Tasks that might cost a business $100 and several hours when performed by humans can be completed for pennies in minutes by AI agents. They never need sick leave, don't complain to HR, and work around the clock. As we discuss in the episode, Sam Altman, CEO of OpenAI, predicts there will be more AI agents than humans on the planet within just 24 months.
We break down the practical aspects of implementing this technology – from choosing the right platforms to training your agents with the proper knowledge and connecting them to your existing business tools. We explore real-world applications including how AI agents can prepare sales calls, lead generation, quote preparation, and even communicate with each other to complete complex workflows without human intervention.
For business owners wondering how to stay competitive in the coming years, this conversation offers a glimpse into what will soon become standard operating procedure. The future won't be about whether to adopt AI agents, but how quickly you can implement them before your competition does. Ready to meet the newest members of your team? They're digital, they're tireless, and they're about to change everything.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
George (00:00):
One day we're not going to do this podcast and it's
going to be just the electronicAI version of me.
Robby (00:07):
I can't wait.
George (00:09):
Think about it all the time we'll see that's going to
be sad.
Nah, we'll still do this.
People will get upset that it'snot AI and that we're actually
talking.
Robby (00:19):
I'm like humans.
Fuck, I came here.
George (00:20):
Yeah, what the fuck, I came here for the AI.
I didn't come here to hear twopodcast bros talk, as I've been
called before, podcast bros.
Yeah, we've been called podcastbros.
Robby (00:33):
Don't you read the comments?
George (00:35):
I read them multiple times.
We read all the comments, everysingle one of them.
All you haters out there,that's why we keep coming back.
We probably wouldn't do thepodcast if it wasn't for you.
Robby (00:43):
Yeah.
George (00:44):
We live to piss you off that's what we're here to do, um
ai so a couple weeks ago, we'rehaving a chat and you're like
hey man, have you heard of this?
I'm like what the fuck is thatlike in the movies?
Yes, I've heard of that, butnot in real life.
And I want to touch base withyou and have a discussion with
(01:07):
you, because you're a lot moreeducated than what I am and I
guarantee, if you are listeningto this right now, 90% of you
are not educated in this space.
Robby (01:15):
Oh, dude, I think it's more than 90.
George (01:17):
Maybe 98.
Robby (01:18):
I'll give it 2%.
I would say I'm not yet anexpert in this.
George (01:23):
Not an expert, but you're educated.
You're more educated than most.
Robby (01:26):
You understand the concept and what it can do.
Yeah, I've built an agent.
George (01:29):
Oh, we just dropped it.
I haven't said what we'retalking about.
Robby (01:31):
Yet Don't care, you ruined it.
I can't help it.
I'm going to turn the podcastoff.
I'm done.
We're in the time where speedmatters.
George (01:39):
Yeah, agents, okay, not just AI.
And whenever anyone thinksabout AI, like what's the first
thing you think of, what's thefirst thing they think of Chat,
gpt yeah dude, the only thing.
Robby (01:50):
Okay, so just before I walked downstairs and one of
your employees says hey, man,chat GPT just saved me three
hours.
Blah, blah, blah.
He's like this AI stuff's sick.
And I just looked at him andI'm like that is the most basic
of AI.
Like I said you're going tofreak.
And then I walked halfway upthe stairs and I said freak when
George fires you because hedoesn't need you.
George (02:14):
Heard it here first, but it's the equivalent of someone
coming up to you and go hey, Ijust did this thing where I
typed into a box and it's calledGoogle and then it showed me a
whole bunch of stuff.
Robby (02:26):
But that would be cool back then.
George (02:28):
Think about it.
That's what I mean.
Think about it.
Robby (02:30):
Think about it.
Imagine you're like how do youfind something out?
Let's drive to the library andfind the encyclopedia and we've
got to get the right letterbecause they're all in separate
books, because there's so muchinformation and it's not here.
So we'll come back next weekand then, hopefully by next week
, we can find out what thatthing was.
George (02:49):
Or you're like hey, we need to paint this wall.
Okay, Let me just go to theyellow pages see if I can find a
painter.
Robby (02:57):
Yeah, An AAAmasterpainter comes up and then you have to
go find the book, sit down withthe book, flick through the book
, find the person, contact them,whatever, and it's like you
can't believe it.
This is all on one thing nowyou just go here.
George (03:14):
It's this Google thing.
You go type in your seat.
What a funny word.
Robby (03:16):
Yeah, and everyone's like whoa no one had heard the term
Google Blew my mind Do you knowwhat Google is?
George (03:23):
Zero, yes, zero idea.
Robby (03:27):
You're about to blow my mind.
Oh man, I had this fact in mymind and I'm like I'm going to
drop this on the pot.
It's going to be sick.
Is it about Google?
No, but I'll tell you what aGoogle is.
A Google is a number, oh cool.
George (03:44):
Yeah, it's a Google.
Robby (03:44):
I'm going to Google what Google means.
George (03:47):
I'll show you right now.
Robby (03:50):
You think this is a game.
George (03:51):
What's a Google?
Hey Siri, what's a Google?
It doesn't work.
Robby (04:02):
It asked me if I wanted to use chat GPT.
Yeah, that's because, there yougo, anyway, if you can.
I don't know if you can zoominto that.
If you can't sort your shit out, yeah.
But there you look.
George (04:13):
I believe you, I don't doubt, there you go 10.
Robby (04:15):
Not a joke.
100 zeros.
That was the first time I everheard the term Google.
George (04:19):
It was in oh wow, yeah, no.
Robby (04:22):
First time I heard no.
George (04:24):
I can't remember that far back.
Robby (04:26):
I'm 40.
Yeah, I don't know.
I found it fascinating, I'mfascinated.
So yeah, that was that, it'sthe equivalent.
And now this is this.
George (04:34):
You know people are going and we did this at events
two years ago when we did ourfirst event, stood up in front
of a crowd and you're like, tellme, put your hand up if you've
heard of ChatGPT.
And you had like three peopleput their hand up and you do the
same thing today.
So put your hand up if you'veheard of ChatGPT.
Robby (04:48):
It's like everyone put their hands up.
I made the first ChatGPT videolike six days after it came out.
George (04:55):
Was it that early?
Robby (04:56):
Yeah, I got it early, people had never heard of it.
Yeah, I think I heard of ityeah.
George (05:05):
And then you had done it and then it's like you and then
you told me I have to check itout.
Yeah, yeah, and then I set upan account.
Robby (05:10):
Sorry, maybe it wasn't six days.
Maybe it was six weeks, yeah,but it was six something and it
wasn't six months.
Second, but nonetheless, nowyou go and you type into this
thing and it talks back.
So if you look at it from atechnological, like, let's just
(05:31):
lay it out.
Are you a visual guy?
George (05:34):
I'd say so.
Yes, yes, I would be, becauseif I'm trying to recall stuff, I
look like up and right, Isn'tthat visual?
You're looking in the rightpart of your brain when you're
thinking about it.
You're doing it right now.
Yeah, but I think everyone doesthat.
No, I think some people mightlook left, and I think that
depends whether you're no leftand right, one's creation, oh
(05:55):
well, this is the theory.
Robby (05:56):
One's Creative, creative, logical, one's no One's
creation.
Like you're creating thethought and the other one's
remembering.
So one's looking back and theother one's usually, if they
look left, they're lying.
Yeah right, oh, that's thetheory.
I don't know how well.
I've tested it.
But back to what we're saying.
Let's lay it out on a board.
(06:17):
Okay, so you, as a human, nowyou go and talk to chat.
Do you call your chat anythingChat?
Do you call it chat?
George (06:26):
Me too, hey chat.
Robby (06:27):
Yeah, me too.
Hey, chat, Do you message itgood morning.
George (06:31):
I haven't done that, no.
Robby (06:32):
Yeah me either.
George (06:32):
Good morning.
Robby (06:35):
I say thank you, of course, and please, and your
majesty and everything, justdon't kill me.
So right now there's a human.
Human talks to chat.
Chat responds.
That's the whole thing how itworks, right?
I talk to it, it talks back.
So imagine talking to a humanthat can only talk and you're
(06:56):
like, hey, blah, blah, blah.
And then they say da, da, da.
And you're like, okay, cool,like this human talks, that's
great.
Okay, cool, like this humantalks, that's great.
And then imagine, all of asudden now you're like, hey,
here's a computer, it's got allthese tools on it.
You've got my CRM, you've gotmy email, you've got all this.
And now you know how to think.
(07:17):
So you know how to reason withwhat I'm telling you and take
actions based on that, becauseyou can do that.
But you can only talk backbefore.
So if you go to chat GPT now andyou say, can you check what
I've got on tomorrow, you can'tdo that because it'll turn
around and say I don't haveaccess to your calendar, right?
So the next step is you give itaccess to tools and then you
can say, hey, what do I have ontomorrow?
And it says tomorrow you've gotthis at 3pm, this at 2pm, this
(07:38):
at one o'clock, blah, blah, blah.
And then you can say, cool,what's the weather tomorrow for
my appointments?
And they'll be like tomorrow,the weather's looking like it's
going to be this and that,because you've connected it to
your email, your calendar andyour weather app.
And then you can say, cool, canyou just send everyone I've got
a meeting with tomorrow?
Can you get the details fromthe CRM and just email them and
just confirm that they're goingto be able to arrive if they
(08:00):
haven't accepted the invite?
So it'll go check who hasn'taccepted the invite for your
things tomorrow and then go sendthem, grab their details from
the CRM and then email eachindividual one by one.
George (08:14):
A personalized message coming from you Right, this is
now.
Robby (08:17):
so this is basically at the point where you can say,
okay, cool, if I've got.
What does a human at a computerdo?
Say what.
What does a human at a computerdo?
Say what.
What does a human at a computerdo?
They sit down, they'reconnected to the internet.
Yes, get information and theyare able to use a bunch of tools
to get stuff done.
Yeah, anything a human doessitting at a computer can now be
(08:39):
replicated by an AI agent.
By an AI agent.
George (08:43):
So that's how you've got to think of it, then, don't you
?
Then think about how many ofyou sit at a computer and do
stuff?
Robby (08:49):
Yeah, and then if there's a step in the process where
let's just say, for example,part of your role requires you
to do something physically, thatwill probably be the only part
that you need to continue to do,and every other part will be
replaced.
Yeah, part that you need tocontinue to do, and every other
part will be replaced yeah,because it'll be in an automated
process that can be done byagents or a team of agents so
(09:13):
you might have.
George (09:15):
So can you have one agent that rules them all?
Yeah going to.
Yes, reference for lord of therings, because I know you're a
massive Lord of the Rings fan.
Huge One ring to rule them all.
Yeah, because you're going tohave many agents working for you
, so you'll have one that doesyour emails.
Robby (09:32):
So can I ask you a question?
Can you hire someone to lookafter your team?
Yeah, why can't you do this?
George (09:38):
Okay, so then, who would you be communicating with?
Would you be communicating withthe specific agent, or would
you communicate with the onethat rules them all?
Robby (09:45):
Okay, so let me ask you a question If you hire someone to
manage your team, do youcommunicate with the person that
manages your team or do youcommunicate with them all?
Depends what mood I'm in, butyeah, so you can do it depending
on what mood you're in?
George (09:57):
Yeah, so I could be, but from an agent point of view, I
would want it to be one thingthat I speak to, not multiple
things.
So you name your agents to makeit easy, I guess, to track what
they do.
Shout out to Reggie Reggie,let's crack in, and Julia for me
, and because Robbie's buildingagents, for us as well.
(10:20):
But so we got.
Yeah, I just want to bespeaking with Reggie, you know
what I mean.
I wouldn't want to speak toReggie, julia, frank Vincenzo.
Robby (10:30):
Yeah, that's up to you.
You can do that in real lifetoo.
You can do that.
You've got a GM in yourbusiness.
You could just talk to your GM.
George (10:38):
You could just talk to your GM.
Again, you're a massive moviebuff, but I think about Jarvis
from, say, iron man, where hewalks into the room and he'd be
like Jarvis, can you calibratethis or do this?
Or blah, blah, blah, and hejust talks to it like he would
talk to a human and similar towhat you said hey, what have I
got on tomorrow?
I said you've got meetings here.
Cool, can you push that back?
(11:05):
Because, like Dev and that'swhat I used to say like ai was
never, wasn't at that level whenit came out, like they didn't
exist.
Well, that's how I saw it and Ithink that's where ai is going
to be really powerful, when youcan start talking to it to do
those things for you and youwalk in.
It's like you walk in themorning and you're like hey, hey
, frankie, like what do I got ontoday?
it's like, yeah, like today,perfect example, I had a Zoom
meeting scheduled for 7 for 1212pm.
(11:27):
I actually called my PA and Isaid, hey, can you tell them I'm
going to be 10 minutes late?
And she's like, yep, cool, noworries.
So she emailed him, said, hey,10 minutes late, we're going to
start at this time.
She's like, yep, no worries,but you know, do that for me.
Robby (11:41):
You would.
George (11:41):
Say hey, reggie, can you I've got my 12 o'clock meeting.
Can you let them know I'm goingto be 10 minutes late.
So, yep cool, no worries, justsend them an email and it does
it.
It will do it.
That's now Someone.
So okay, that's powerful shitRight now.
Robby (11:56):
So okay, I could go now talking to your device and be
like hey, email, robbie.
So this will be connected toeverything you do.
So it's connected to your CRM,which has all your contacts.
George (12:09):
It's connected to your email.
Robby (12:14):
Would my CRM have just every single email that I get?
George (12:16):
Yeah, we can integrate that.
You can do that, yeah, so Idon't save my emails, they're
just kind of there they feed in.
Robby (12:20):
Yeah, so it's all integrated.
So as soon as someone emailsyou, they're in the system.
Yeah, cool, yeah, so you can.
You can go and say, hey, canyou email uh robbie and just let
him know that, uh, I want to doa podcast tomorrow and send him
a calendar for 2 pm, and thenit will go and formulate an
email based on how you'vetrained it to talk.
Yeah, and say, hey, robbie,blah, blah, blah.
(12:43):
George asked me to email you.
He wants to do a podcast at 2pm.
I've already sent him by atLibby no 4 Good.
George (12:49):
Yeah, and then does it do it instantly.
Robby (12:57):
Yes.
So when I say okay.
George (12:59):
So when I say like what's the?
It doesn't have to grab themouse on the new email, then
click on here, then write theemail, then type it out.
So could it do it done?
Do you know?
Maybe not done?
Can you do how you do this, dothat, can you do this, like will
it take five minutes, will ittake 30 seconds, like how it
(13:21):
depends it depends on howthey're trained.
Robby (13:23):
Yeah, so if they have to assess there's a couple of
things, if they're well trainedand they know that, okay cool.
I've done this task before andI know I need this tool, this
tool, this tool.
It's like, let me let me put itthis way I got someone who's
not to send an email quicker.
This is the exact same thing.
You know what I mean.
And people are asking questionsthat you could ask the same
(13:50):
question about a human and say,like, well, who's going to be
quicker here?
But if you're asking thequestion of a well-trained one
versus your PA, the well-trainedone wins every time.
Every time, it's not even close.
George (13:59):
Yes, and this is what's cool too, can.
Robby (14:01):
So then and this is what's cool too Can you type as
fast as ChatGPT.
George (14:03):
No, not at all It'll come up with the answer.
Then it'll be, and this iswhere you're also.
It's also pretty cool becauseI'll get Julia, my AI agent, and
say, julia, can you messageRobbie and find out, you know,
if he's available tomorrow to doa podcast?
And she's like, yep, no worries.
And then Julia actuallymessages Reggie, which is your
(14:24):
AI agent, and they speaktogether.
They're like, hey, reggie, canyou check if Robbie's free
tomorrow because I need to seeGeorge wants to do a podcast at
2 pm.
And then Reggie's like, cool,let me check his calendar.
Or goes through, checks yourcalendar and goes actually yeah,
robbie's available, I'll justconfirm with him and get back to
you and then just goes back.
Robby (14:50):
She goes cool, no worries , let me know and I'll send you
a meeting request.
And she goes.
You get a message on your phoneor a does a talk and says hey,
robbie, are you good tomorrow at2 pm?
This is what people are gettingwrong.
It would be like a human.
George (14:55):
So how would a human contact if, if it will call me,
huh, it will call me or messageme or something.
Robby (14:58):
So this could do the exact same thing so it could
call you it could whatsapp youlike hey, are you good?
Are you you good tomorrow for 2pm?
It's available in your calendar.
Just wanted to confirm.
George (15:06):
Yeah.
Robby (15:06):
And you'd be like yes, and it's like, all right, done.
Boom Goes confirms it was theother person, it's done.
Yeah, you know what I mean.
George (15:27):
And then you'd be like, okay, I want that cool.
Yeah, I say, okay, thanks,robbie, that sounds great.
Can you book it, make me andgive me an agent?
Like, how do I get an agentfrom?
Robby (15:30):
you, yeah.
So the first thing you need toask well, send me a dm, but the
first thing you need to ask iswhat do I want to do?
Because there are.
So I think let me, let me, yeah, because this is I've asked.
We went to a handful of clientsfour to be exact and said, hey,
this is what we're doing.
(15:51):
This is new.
It's recently starting to blowup.
We're going to be super earlyto market.
You'll get in at a fraction ofthe price, but it's going to be
a beta model.
You know what I mean.
You're one of the people weapproached.
We approached several otherclients.
If you're listening to this,they know who they are and the
(16:12):
biggest friction point we've hadis people don't know what they
want.
George (16:16):
Yeah.
Robby (16:17):
They're unsure, because you can't think about what you
don't know.
Do you know what I mean?
George (16:23):
And that's going to lead into my next question.
So it's like, okay, I startusing it to do my emails.
Yeah, all right, let's juststart there from an
administration point of view,because I actually get 100
emails.
Oh, come on, jake, I get 100emails a day if not more.
Robby (16:37):
So can you break down your filtering process for your
emails?
Yeah, I reckon I could.
George (16:40):
Yeah, I reckon I could.
Robby (16:41):
Yeah.
So if you can break down yourfiltering process and we can
train someone to filter it inthe same way, they could get
filtered and responded to.
So not just you can set rulesin Outlook to filter your emails
, you can get someone to respond.
So you can be like, hey, thistype of email I want you to
respond.
You know what I mean.
If the person's not in oursystem we've never heard from
them before, blah, blah, blah.
(17:01):
Or they're just, you know,reaching out because they want
to tender a job, respond to them, just say we'll get in touch,
save the details into the system, let's record them as, whatever
their trade is.
If they haven't mentioned theirtrade, google it or ask them
and it'll do all that for you.
And then you could say theseemails I want you to provide.
Say if, provide.
I say if someone emails usabout the job, provide them an
(17:22):
update as to where the job's at.
We'll connect you to ourproject management software so
you can see where the jobs areup to, where they're up to date,
and give them the updates.
I don't want to talk to them.
You do that.
And then if my mother or fatheror anyone in my immediate
family email, forward it throughto me, because I'll respond to
them yeah.
(17:45):
I mean wife and kids, blah, blah, blah.
I'll take that, but everyoneelse you sort out and it'll do
that, yeah, and it can talk tothem the same way.
You talk to chat gpt, right,but you train it the same way
you train, and you don't have todo chat gpt or open ai or
anything like that.
You can do any of them.
You can go do google one, yeah,you can do claude, you can do
gemini, you can do deep seek,whatever it's called.
Um, there's heaps, but they areall.
(18:06):
They're all.
Just, they're referred to asllms, so large language models.
It's like a brain, right.
So from the ai agent space,that's the brain.
Then you teach it what you needto teach, which is a knowledge
base, and he gives a bunch oftools, just like you do with the
employees.
You get them in they've alreadygot a brain, hopefully, yeah.
And then you get them in.
You, they've already got abrain, hopefully, yeah.
And then you get them in andyou're like, hey, this is how we
(18:27):
do this here.
This is what we're about.
This is what PASCAL is, this isour brand guidelines, this is
our vision mission.
Blah, blah, blah.
This is where the printer is.
You know what I mean.
This is where you go to toilet.
AI agent need annual leave andsick leave and public holidays
(18:49):
and shit like that.
Yeah, they'll take you to fairwork everything they need
overtime, dude no annual leave,no, sick leave.
George (18:55):
Okay, so I get Julia to come in and she's helping me
with all my shit.
Robby (18:58):
And.
George (18:59):
I call her and I say hey , do this, do this, so on and so
forth.
And then, as I'm working, I'mlike oh, now I need it to do
this.
So, whether it's Julia orGregory coming in, let's call it
Greg, not Gregory, let's callit Greg.
Gregory sounds like an old man.
Yeah, greg sounds a little bityounger.
Okay, greg.
So I've got Julia and I sayokay, cool, now I need someone
(19:21):
to arrange to sort out all myevents.
Can't Julia just do it all,instead of getting a separate AI
agent?
Robby (19:37):
Yeah, yes and no.
So they do have.
Can one of your CAs do it all?
George (19:43):
I mean, yeah, if they were really good.
But we're talking about anartificial intelligence.
This can take on a lot.
Maybe an individual personcan't take on that much.
Robby (19:51):
Yeah, but they also have some level of capacity.
So I think they can only run somany multiple things at any
given time.
They can actually multitask,actually.
George (20:01):
Yeah, exactly.
Robby (20:02):
But I think there is only so much that they can do at any
given time.
Now, the whole premise you want, though, is you want to build
it so that they are constantlydoing, constantly filled with
work, so just like you would itin business.
When you first the first personyou hired, they were probably
wearing multiple hats.
George (20:19):
Yeah.
Robby (20:19):
Yeah, you probably like a bit of this, a bit of that, a
bit of that, a bit of that ofthat.
Now, when you've got a thousandemployees, you hire more
specifically.
You're like, hey, your job isvideo editing and that's it.
I don't want to see you doinganything else apart from video
editing and on your break, youknow.
I mean, I don't want to see youediting photos.
I don't want to see youscheduling posts on social media
.
I don't want to see you, uh,trying to build an ad campaign.
(20:43):
Your job is video editing.
You're either editing orgetting better at editing,
that's it.
This is the same sort of concept, because you can get as many as
you want.
You can go from what they'retalking about at the moment
there's still very limitedinformation on this, by the way,
like online, but what they'retalking about at the moment is
(21:03):
they reckon in 24 months, thereis going to be more AI agents
than humans on the planet.
More AI, think about that.
That's seven, eight billionmore AI agents than humans,
because you will go from having10 staff to having four staff
(21:25):
and 78 AI agents, because now,all of a sudden, your team has
had 80% of its job replaced.
It's like all the manual,repetitive stuff that they do
over and, over and over again.
They don't need to do anymore.
There's now a tool AI is a tool.
Dude, there is now a tool thatcan do that for them.
(21:46):
Like the same way, and havingan employee is a tool.
This is an employee that livesin your computer.
George (21:52):
Yeah.
Robby (21:53):
Or lives in the internet world yeah, as I like to
describe it.
But most people can't evenfathom how they would use it,
because they still can'tcomprehend what they can replace
, because we're so used to doingthings in a particular way.
George (22:12):
That's right.
Yeah, I mean, even for me, asyou said, I keep reverting back
to my primal instincts ofsending an email by myself or
doing that task by myself, andyou're like, no, no, the agent
can do that for you.
Robby (22:23):
Yeah, the agent can do that for you.
That's the next step.
That's sorry, that's now.
Yeah, so it should be like hey,email George.
George (22:32):
Okay.
So back to what I was saying.
Okay, cool, the business iscoming and says all right, I
want to start embracing this AIshit like this AI agent stuff
Now.
I want to start embracing thisAI shit like this AI agent stuff
now I want to embrace it.
I get Julia.
I want you to make Julia for meto do my memos.
Robby (22:44):
Julia with a G.
George (22:45):
Yeah, it has to be with a G, clearly.
Yeah, g-i-u-l-l-i-a.
I could spell it however I want.
Robby (22:56):
Yeah.
George (22:56):
She won't even be upset.
Robby (22:57):
I don't know, no, not yet .
George (23:01):
Not yet.
Give it time.
Don't piss them off yet.
Oh, it's probably okay to pissthem off now, but they'll just
remember in the future.
Yeah, they can't do anythingabout it now.
They'll remember me and you'relike when they send an email to
your client telling them to fuckoff.
Hey, this is.
This is Julia.
George just wanted me to tellyou.
I overheard him talking aboutyou today, Dude that.
Robby (23:22):
If you don't believe me, here's the recording.
Here's the recording and here'sthe video.
And then I even said are youtalking about this person?
George (23:28):
And then he said yeah, fuck that guy, Fuck that guy,
this is their flyer, and thenshe blackmails you that I'm
about to hit send.
Robby (23:35):
Yeah.
George (23:41):
About to hit send.
I need a boyfriend.
Make me an AI boyfriend.
Yeah, all right.
All right, relax Sideways.
I don't even know what I wasgoing to say.
Okay, yeah, so I'm a businessand I want to start embracing
these AI agents.
Okay, how does it work?
As far, do I have to go to awebsite and log on and download
something?
Is it magically uploaded intomy computer like a virus?
(24:03):
Like how does it?
How do I get the agent?
Like where is it an app?
Like what is it?
Where do I go?
Okay, there's Julia.
And then do I, do all the otheragents live on that app?
Like how do I access all ofthese things?
So when I'm talking to my phone, I'm like, hey, julia, and
she's like, yeah, hey, how areyou, george?
Robby (24:21):
Good, x, y, z, yeah, so there are platforms AI agent
building platforms, the same waythere are data platforms.
So what's the best part of hereis like we're about to
completely knock CRMs out thepark, and then some people still
don't know what a crm is yeah,it's so funny.
(24:42):
Yeah, but what's a crm?
George (24:44):
yeah, client relationship manager.
But what is it?
It's a.
It's a point of entry for allyour information and then being
able to store it and communicate.
But what is it?
It's a management tool yeah, no, no.
Robby (24:57):
But if you were to break it down and take away what it
does, what is it?
It's a software, it's a pieceof code that works in a
particular way, like a platformthat you go on that stores data.
Yeah, that's all.
It is right.
It's a platform you log on andit just has all your information
.
Yep, yep, yep, essentially, yep, this is the same thing.
Okay, so then I would get sowould it come through the?
George (25:19):
the platform would be the website, so I'd log onto a
website.
Robby (25:22):
Yeah, yeah, you'd give me user details for a website.
George (25:25):
Yes, it all lives on the internet.
Okay, so then I get that when Iget into work in the morning,
yeah, okay, do I just turn on mycomputer and say hey, julia,
how are you?
Robby (25:34):
We, however you want, I can make it so that you can talk
into your phone.
George (25:39):
Yeah, instead of saying instead of addressing Siri or
chat, we can connect it throughWhatsApp so we can give it a
dedicated number.
Robby (25:45):
Yeah, connect it through WhatsApp.
We can give it a landlinenumber, a mobile number.
Yeah, we can set it up so thatyou talk into a telegram.
You know what I mean.
So you can be like hey.
So you can be like hey, andyou've got a dedicated thing.
And you know everything I sendthrough here is going to this,
to my human.
Do you know what I mean?
So you can talk to it directly.
But, yes, it lives on theinternet, on a platform.
(26:07):
Platforms that are out now arelike Relevance, relevance, ai,
bland, ai, voiceflow, vappy,there's heaps, yeah, yeah.
George (26:19):
NADN N8N.
N8n is a really popular one.
This is where you build theagent.
Robby (26:23):
This is where you build the agent and it's all stored.
George (26:25):
So now you've got an agent that does let's just say,
you've built an agent for thatparticular purpose just managing
boxes.
Yeah, that's it.
That's all Julia's going to do.
Yeah.
You going to do yeah, you'regoing to send it to me.
Robby (26:37):
I'm going to get it.
George (26:38):
Yeah, Now do I need to?
Is there a backend thing thatyou have to?
Is there prep that you have todo?
Do you have to say, okay,you're using Outlook, I've got
to connect you to George'sOutlook.
Yeah, Do you do that?
How do I do that?
Robby (26:53):
Do you get?
George (26:53):
instructions no, so we build them for management.
Robby (26:56):
So you need to make sure that things are up to date,
because if it loses connectionwith the tool, it can't turn
around and say one sec.
Let me pick it up.
George (27:07):
If Outlook is down, you can't send emails, even with
your employees.
If the internet goes out, theycan't use the tools to send an
email.
So will the agent be able toself-teach, or do you need to do
that on your end?
So say, if I go, okay, julia, Iwant you to start his outlook,
just organize any emails you getfrom these people.
Just delete them.
It's spam.
(27:27):
I just want you to delete themstraight away.
Any email that I get from myteam say, hey, you can answer it
based off what I would say.
This is the rule.
So on and so forth.
Do I need to tell you that orcan I?
Similar to how, when you talkto ChatGPT, it gives you the
answers by the prompts that yougive it?
Do I have to train the AI agentor is it you that does that?
(27:48):
Like I'll call you up and say,hey, I want it now to do this.
I need it to also connect to mycalendar and the weather,
because I want to do 80% of mymeetings outdoors now.
Robby (27:58):
So certain aspects it will self-learn, and then
there's particular aspects whereit would have to be done on the
back end, like it's not goingto be able to go and connect
itself to an app.
You have to get someone to goand connect it to it.
George (28:11):
So then could I have Julia connected to my emails,
but also connected to WhatsAppat the same time?
Robby (28:16):
Yeah, and then you could WhatsApp Julia.
George (28:18):
Go into the PASCON.
You know WhatsApp group theoperations group and it'll be
there.
Yeah, so I would add her as aperson.
Robby (28:24):
Yeah, yeah, so it would sit there as an individual.
George (28:26):
Yeah, and then I could say hey, can you.
Just there could be 100 and 200messages that go there.
Yeah.
Robby (28:41):
And then you could message her separately and say
can you give me a summary fromthat group chat?
George (28:44):
Oh my God, marry me.
Robby (28:46):
Do you?
George (28:46):
get what I'm saying.
Robby (28:56):
Should I tell my wife about Julia?
This is what I'm saying.
Of course I should.
Yeah, I don't have to do thething anymore.
Yeah, it'll do the thing.
Do you know what I mean?
George (29:03):
The same way it does, because this is what I mean
right, you could build thisagent now and whilst it's
tailored for me, it can betailored for it could be used by
everyone, as in all these otherindividuals and companies.
Robby (29:16):
Now, yeah, the template, yeah, but the training no the
training.
George (29:20):
I have to do.
Robby (29:22):
No, it's got to be fit to PASCOLON.
George (29:24):
Yes, of course, of course, but I'm saying
specifically for the time beinglike the emails, the WhatsApp,
like this agent, you've built itnow, yeah, yeah, I'm just
thinking of this fucking bubbleon the internet or on the
platform.
Yeah, you can use that bubbleand plug it into another company
.
Robby (29:40):
No, why?
So you can use the template.
So, I want you to think of itlike this If there is okay, you
built this house.
George (29:51):
So you can now make me the same house.
Robby (29:54):
like that right, yes, no, you can't.
George (29:55):
I could Do.
You know what I'm saying.
Robby (29:56):
Yeah, yeah, I can build you that same house, I can
probably build it much quicker.
Yeah, I've kind of got theframeworks and I know the stuff
and we've got all the designstuff and I've got leftover
supplies.
George (30:03):
I've got that house.
I want to build that.
If you want that same house,yes, I can build it for you.
So I have to go out andactually physically build the
whole thing from scratch.
So you have to build a brandnew agent from scratch.
Robby (30:14):
So, no, no.
So the same way you cantemplate, so the same way you're
not building the house fromscratch because the design
process is already done.
George (30:20):
Yeah, so the design process is done.
Yeah, yeah.
Robby (30:23):
We can take the design, we can upload, so that the
platforms allow you to uploadtemplates.
So I can say, okay, cool man,this bot that we've created that
does all these things, turnthis into a template, and now I
can clone that because I.
You still need to make it.
You, yeah, does that make sense?
So like this now I've trainedthis for George.
What if so-and-so down the roaddoesn't want the same thing as
(30:45):
George?
Yeah, he's like no, no, myemails, I want this, this and
this.
And it's like, okay, we need tomake it.
Do that.
Okay, the same way.
Someone come in and be likewhat color paint.
George (30:53):
So the plans are the same.
The plans are the same, butthen the execution of building
it has to be-.
The body is the same, it stillhas to be built.
The frame is the same.
So does that then say Does thatthen mean it's going to take
you a long-.
So is it hard for you to scale?
No, what's why Everything isscalable, I know, yeah, that's
(31:15):
what I mean.
Robby (31:20):
So could you have an agent that?
George (31:21):
builds agents.
Yeah, I don't think they havethat yet.
Yeah, but you know what I mean.
So I'm trying to say, like howcould you sell?
Sell 10 000 of these agents topeople.
I don't know you don't knowthat answer yet.
Robby (31:30):
Yeah, that's why I'm just thinking there's, there's,
there's.
George (31:33):
It would be a long process if you have to build 10
000 agents now, yeah, that's abig process.
Oh, if you, if you have 1,000employees and you want all your
employees to have a Julia, canthat work too?
Why not no, I'm asking you.
I don't know.
Robby (31:50):
Yeah.
So if you've said hey guyswe've now rolled out a new AI
agent.
George (31:54):
They'll be numbered.
This is our agent.
Her name's Julia 37.
So each person will have theirown Julia number.
Robby (32:01):
Yeah.
George (32:07):
How many names are you going to have?
I'm looking at it from what?
the agent does, yeah, so byputting them in a box.
So Julia is our email andorganising agent.
It's like your own personalassistant.
So, everyone, this is Julia,julia, this is everyone.
Julia, this is everyone.
Yeah, everyone gets to meet herand has those.
So could she be intertwinedwith all the other Julias, like
(32:28):
Julia 14 and Julia 37?
Yes, and know what these peopledo and how they talk and all
that sort of shit?
Yeah, and then learn from thatas well, like, would she learn
about the company, about howeveryone writes emails?
That as well.
Would she learn about thecompany, about how everyone
writes emails?
Then maybe I could have Julianumber one, because it's the
number one.
I say Julia, who's fucking up?
Send me a report.
(32:48):
Who's not doing this?
Who's?
Robby (32:49):
doing that?
Can you do that as in?
Can they see what other peopleare doing?
Yeah, Could.
George (32:53):
Julia number one.
See what all the other Juliasare doing.
Robby (32:56):
If you set it up that way .
Yes, if she has access, but canyou see what your employees are
doing?
George (33:00):
If I wanted to yeah, so why can't?
Robby (33:03):
this be set up like that.
There's only one way that youwould see your employees that's
not transferable, and that's bysitting opposite them.
Yeah, so the AI agent itselfthen do you need to train it per
employee?
George (33:19):
No, why no?
I'm just asking Because they'regoing to have different ways
they operate.
I don't mind if they havedifferent ways of doing things.
Robby (33:25):
Your employees bend for the business, not the business
doesn't bend for the employees.
George (33:28):
Yeah, but if they have a certain way of filing that
works for them, for example, andthey want to do it a certain
way as long as they're gettingthe work done.
Robby (33:35):
I don't give a fuck yeah, but that's just a bad training.
Yeah, you know.
I mean, humans are hard totrain yeah they're stuck in
their ways, but you train thishow you're real yeah you know
what I mean.
And if I, if I have 10 childrenand I train all of them the
exact same way, they will allcome out pretty similar, like
(33:58):
you'll'll find.
Like the family, they all dothis or they all like this,
whatever it is, they'll all comeout fairly similar.
Yes, you can argue oh, but thiskid does this and this kid does
that, and it's usually becausethere's a slight difference that
you haven't paid attention to.
In my opinion, I don't thinkhumans are born with traits.
Do you reckon humans are bornwith traits?
George (34:14):
No, they're given, they're picked up.
Yeah, they're picked up?
Robby (34:16):
Yeah, they're picked up.
Something you know what I mean?
Like the, the traits are allpicked up from things that we're
not even aware of.
Uh, we, we lack awarenessaround.
Even though you can sit thereand say I'm enlightened
individual, it's like you stilllack awareness, like you're not
aware of everything.
You cannot be aware ofeverything.
You'd it'd be sensory overloadto every single fucking thing
that's happening.
And this is like that.
(34:39):
So you can train these.
And if, technically, if I trainone and this is my training
regimen, so this is the and bytraining I mean feeding them
information.
Yeah, so I give them a bunch ofinformation and they work off
that.
That becomes a knowledge base.
If I go copy and paste that thenext one should do the exact
same thing, they don't sit therelike.
If I go copy and paste that thenext one should do the exact
(35:01):
same thing, they don't sit therelike oh, but I like to do it
like this.
It's like no, you don't Do itthis way, Then we don't.
And it knows it's broken downinto a series of steps.
George (35:13):
You know what I mean.
Humans are complex.
Yeah, so now I've got Greg.
Greg working for me AI agentand you're actually building
you've actually somewhat builtthis already and Greg's just
going to call everyone that'sgoing to come to our next event.
Yeah, Say hey, Robbie, great tosee you, Really excited to have
you at the next successconference, such and such.
Just wondering if you have anyquestions, whatever it might be.
(35:34):
Yeah, so it's these agentsactually calling every single
person, yes, and getting theinformation You're actually
building that for us as we speak.
Yeah, that's pretty cool.
Robby (35:46):
Very cool.
George (35:46):
Yeah, now, instead of me paying my PA to do it for three
days.
This AI agent can now.
Now, will it make one call at atime, or does it go out and
make 30 calls or 50 calls at atime?
Robby (36:00):
So if you're going to do that, you've got to connect 50
phone numbers Right, which,unless you had a large amount.
George (36:06):
Yeah, 100,000 people you had to call.
Robby (36:08):
Another thing you need to factor in is like can it
process that much information atonce, if it's talking to 150
people at once, can itcomprehend everything happening
all at the same time and howpowerful the models are?
Because the models are gettingmore powerful.
George (36:20):
That's what I mean.
Like I would imagine that thisis at a point where it's getting
to become limitless.
Like what's the constraint?
Is it electricity?
Like, is it memory?
Is it like what's theconstraint?
Robby (36:29):
Yeah, it's that they aren't completely developed yet.
George (36:32):
Yeah.
Robby (36:32):
Yeah, that's what it is.
They're developing over time,like the time, like they're
getting smarter and smarter andsmarter.
And then, if you realize,there's different models.
So if you go into chat gpt, andyou'll see like, uh, you might
have gpt 440, all right, or 40.
And then there's 45, andthere's 30, and there's 30 mini,
there's 40 mini, and it's likeeveryone has slightly different,
(36:55):
more capability.
It's like, hey, man, I'vetrained this kid to be good at
maths, but this, this one, she'sa really good writer.
Do you know what I mean?
And it's like they're bothgreat, but they're both more
skilled in different ways.
So, you can have different.
They refer to it as the brain.
So, like the three aspects thetools, the brain and the
(37:16):
knowledge base you can havedifferent brains for every
single, and that's why you, youcan have different brains for
every single, and that's why youwouldn't have one doing
everything.
George (37:25):
Yes, Now will it get to the point where you might have
one doing everything.
Yeah, maybe, yeah, that's right.
Yeah, so that's cool that we'vegot that one getting built at
the moment, because, thinkingabout, as you said, I don't have
to pay it, it's getting it donein probably a lot quicker time
than someone physically pickingup a landline and calling and
dialing the numbers and hey, howare you?
Hey, how are you?
Oh, I forgot to tell them thatshit.
Robby (37:45):
It's also the cost.
Yeah, do you know what I mean.
So we use now we have a salescopilot and what that is is,
before anyone gets on a salescall, we input someone's
LinkedIn URL on their websiteand it goes and it scrapes their
website, scrapes their LinkedInURL and it tells us everything
about the individual, thecompany, and then knows
(38:07):
everything about our company.
So how we fit in.
So it'll be like hey, robbie,you're going to work with George
.
George's weak points in hisbusiness are this and this and
this, and I think your companycan help them really well from
this angle.
You know what I mean.
It gives me some opening linesand this is what we've trained
it on, so we can train it to bewhatever we want.
I can be like hey, you onlygive me three opening lines,
(38:28):
give me five every single time,and so, okay, cool, hey, you
mentioned this every single time, don't mention this anymore,
okay, and we just continuallyrefine it.
Right, that's a very basic typemodel.
But if I said to someone,someone on the team, hey, I'm
going to meet with George fromPascon, can you go look at
George's LinkedIn Profile?
(38:51):
Yeah, go look at his website,and then I want you to provide
me a full summary of how I canapproach this call Like a
one-page summary.
How long would that take?
George (39:00):
Yeah, two, three hours, four hours, whatever, yeah.
Robby (39:03):
Time.
How much is it going to cost?
George (39:04):
Yeah, exactly their hourly rate.
Yeah, plus the opportunity costof everything else they could
do 30 bucks an hour.
Robby (39:11):
It's going to cost you a hundred bucks to get something
like that done.
It costs you about three centsand it happens instantly.
So you get it within a minutemaybe less like that, cause it
goes.
It looks at the whole.
Linkedin comes back with thiswhole thing.
I reckon it'd be close to aminute because it's got to
scrape the data and do all that.
(39:33):
But within a minute you've gotthis full summary.
It's cost you three cents andall of a sudden now, like
imagine you had someonededicated to market research in
your team.
That person's gone.
He's lost his job.
Yeah, because now I've gotsomeone who can do it a hundred
times quicker for one hundredththe cost.
How do you compete with that?
(39:53):
You?
don't yeah, so no cost or lowcost yeah, low cost um no annual
leave, no sick leave, no hrissues, no fair work letters uh,
(40:16):
and it'll probably get to apoint with very few mistakes.
Yeah, well, it'll be less thanonce, and as it continues to
develop it's just going to startto nail everything every single
time.
George (40:31):
It may not be perfect.
The first one.
Robby (40:33):
Yeah, but here's the best part.
Here's the best part.
So let's say you've got areally complex thing that you do
.
Let's just say, for example,tenders, quotes, tenders,
estimates.
There's a lot of detail in anestimate, right?
So then you notice, fuck man,it keeps making this error, or
(40:56):
it keeps making that error, orone in every five there seems to
be an error.
Okay, so let's build an AIagent that can check this for
them.
Yeah, it's like let's buildsomething that can then refine
it and is taught to train thisand tell it when it makes a
mistake.
And then all of a sudden,you've got Greg and Julia
(41:16):
talking and Greg's trainingJulia, because obviously men are
better.
Do you know what I mean?
George (41:24):
Yeah.
Robby (41:25):
And it's like, okay, cool Now, that thing I had to do
manually I don't have to doanymore.
It's like it's already gettingdone.
George (41:33):
Because that's where I saw or maybe you mentioned it
like that's where I saw a hugeinefficiency in my business was
the tendering aspect of things,and you know there's even human
error to take into consideration.
Robby (41:42):
Yeah.
George (41:42):
Have I made a mistake on doing a takeoff or did my team
make a mistake on doing this ordoing this, whereas this will be
able to look at the plans,interpret them and, in 10
minutes, give you.
Okay, george, this is going tocost $6.4 million, yeah $6.4
million $6,483,913.
Robby (41:58):
483,913 cents, yeah, and probably be more accurate than,
or at least get to the pointwhere it will be more accurate
than.
George (42:05):
And that's yeah, and that's an agent.
That man you build that it'sworth millions.
Yeah, to a person building that, like as into a company that's
worth so much money Because allof a sudden, what used to take
you six weeks time.
Robby (42:19):
This is where you're getting wrong.
It's not an agent.
It might be 40 agents.
George (42:24):
Yeah, whatever it is you know what I mean.
So would you have one that doesthe takeoff, one that does the
money, one?
That does the whatever, it isProbably the proposal.
Robby (42:34):
Yeah, and then one that you give the information to at
the start and say, go, sort itout.
And then he goes and speaks toevery single one and then comes
back to you 20 minutes later andsays yeah.
And then you're like what thefuck are you doing?
And you look at it and youstart flipping and you go and
you say what the fuck?
You guys want your jobs becauseI'll replace you on christmas
(42:56):
yeah, you want your christmasbonus.
Do you want to go home and seeyour families?
Because I will replace you veryfast.
George (43:03):
Yeah, and that's the sort of shit that's so powerful
there.
You know that's from methinking about it.
You nailed that.
For me that's worth its weightin gold, especially like if
there's a level of nervous.
I'd be checking it at thebeginning anyway, as in probably
doing it manually myself andgetting them to do it to see how
accurate it gets or how closeit gets.
Robby (43:23):
And then you're like it's off.
Two nights You're off.
George (43:25):
Yeah, two nights ago, no , yesterday I submitted a tender
and for me to put the actual,so I did all the numbers, had
everything there, it was allgood to go, and then putting the
actual proposal together tookme throughout the day, let's say
a couple of hours.
All right, I know for a factthat you train an agent to do
(43:47):
that.
It'd be done in like threeminutes or in 30 seconds.
Robby (43:51):
This is where people will get let down.
It's like most people don'tknow what they want.
Yeah, and it's like they'relike you like put the proposal
together and then they kind ofwork at it as they go and
they're like, yeah, this is goodenough, whatever, you know what
I mean.
You need to have thingstemplated, defined, that's right
.
George (44:09):
And I've kind of got that already.
So I've got a lot of templatesand I can say this is an example
of the proposal that I give.
Yeah, these infamous all thisthing, all this, all this blah,
blah, blah blah.
It needs to include all thesethings, and then obviously I
would still look through itbecause it might be specifics or
things that I need to update orwhatever it might be.
But ultimately, instead of thattaking me two hours or three
hours to put together, it takes10.
Robby (44:29):
It might take you 20 minutes.
George (44:30):
Yeah, you know what I mean.
It's a much simpler process andit saves me so much time.
Not only has it done a six-weekjob for me in half an hour,
it's then done the three-hourtask for me in five minutes and
taken me 20 to do.
Robby (44:44):
Yeah and it's like the same way you would look over it
when you gave it to a newemployee, and that's the exact
same thing and you'd still saylet me check it.
That's right, Let me just makesure that this was right and
you'd see what they did andyou'd be happy with it within
your company's Companies'guidelines.
The exact same thing Until youget to the point where you're
like I know they're good, Idon't have to check this anymore
, that's right.
That's right, they are good.
The same way you build thattrust with an employee.
(45:07):
You're going to build it thesame way here.
The same way they're going tounderstand how you communicate.
It's going to be the same thinghere.
The AI is going to learn andit's going to be like I'm going
to double check this becauseGeorge gets angry.
Because George gets angry whenthere's an error on the last bit
and it takes that in.
It's got the ability to reason,which is thinking.
You know what I mean and thisis something we haven't dealt
(45:29):
with before.
George (45:30):
Yeah, exactly.
Robby (45:32):
It's going to change everything, dude.
George (45:33):
Yeah, man, it's so cool.
Do you know what would be great?
It's like when we double backon this conversation in 12
months' time, you know.
And then we've got agents inthe business, You've got things
that are happening or you seewhere the space is and everyone
knows what an agent is and it'slike a normal part of life.
And then you see everydaypeople using agents, even like a
mum or a dad to order theircoffee you know in the morning,
(45:55):
yeah, but that's going to happen.
Robby (45:56):
This is what I think people aren't understanding.
It's going to happen.
This is what I think peoplearen't understanding.
It's gonna get to the pointwhere it's.
Imagine.
At one point people were likewait you, you connect the old
thing, you plug it into the walland you connect and you dial
something and it makes theseweird noises and you connect and
you can talk to other peoplesomewhere else.
Yeah, like that's bizarre, likehow?
George (46:16):
do you know who's on the other side?
Yeah, how do you know?
Robby (46:17):
who's on the other side.
That's fucking insane.
George (46:20):
Do you?
Robby (46:20):
know what I mean.
And now it's like you fuckingtake Wi-Fi off a kid, he turns
into a crackhead.
Do you know what I mean?
They fucking lose their shit.
We can't live without theinternet.
We've become so dependent on it.
This is that People are goingto become so dependent on it,
(46:41):
Like so, so, so dependent on itbecause this is so powerful.
It's just going to become a wayof life and we're not going to
remember what life was like.
Can you imagine not being ableto find something out instantly?
George (46:49):
Yeah.
Robby (46:49):
Like can you think about that?
There was people who went theirwhole life without being able
to answer a question.
George (46:54):
Yeah, their whole life, which is why it was, like you
know, even at school they taughtthe capital of Brazil, you know
, and all these things you'retaught, these useless things
Like, why would we need to learnall of these things now, when I
can just pick up my phone andGoogle it?
Robby (47:08):
Yeah, if I want to know what the thing is, I can learn.
George (47:10):
Like it's not an issue anymore.
Robby (47:13):
Because the way we're living is going to change.
Like I think the next thing isgoing to be about leverage, like
how do I build systems that Ican leverage in my life?
Do you know what I mean?
And there's a whole bunch ofdoomsday theories where they
think humans are going to becomeirrelevant, like we're going to
be the less superior species.
(47:33):
But that isn't going to happen.
We're going to be the lesssuperior.
This is going to Sam Altman,the CEO of OpenAI, which had JT
turned around and said my kidsare never going to be smarter
than AI.
Yeah, he's like I have toaccept that they're never going
to be smarter than it Ever, everthey're going to grow up in.
(47:59):
He's like is there downsides tothat?
Yes, he is, but there's alsomany upsides.
George (48:03):
Yeah, it's like man.
It's how you take it.
Robby (48:08):
Yeah, but it's happening, it's happening.
George (48:12):
Yeah, like man, you could talk, you could have a
massive conversation about thisfor a very long time, this for a
very long time.
You know what?
Robby (48:19):
I mean.
George (48:19):
Yeah, very long time and it's great.
It's exciting because it's thefirst of many conversations.
I think we're going to have.
Robby (48:28):
We'll keep everyone posted with how this is coming
along.
George (48:32):
That's it.
But the only way you'llactually know about the status
of this conversation is if youare subscribed to the podcast.
So if you haven't done soalready, definitely do it, and
then tell all your friends aboutit, because that's how we can
reach many people, haveinteresting and in-depth
conversations day in, day out,week in, week out.
Robby (48:51):
Week in, week out, every Monday New episode landing.
George (48:55):
You know where to find us.
That's it All right, guys.
Thank you so much.
I hope we've been.
I hope we've just tickledsomething inside of you.
Yeah, I hope you catch.
I hope you catch the bug.
Robby (49:07):
Yeah, and I hope you go and you do something with this
and you say hey, let me justlook into let me just Google.
These guys are weird but, letme look into it a little bit to
see what's coming, because Ithink most people have no idea
what's coming.
Dude, like no fucking idea.
George (49:29):
And on that bombshell, I hope you all have a
million-dollar day and we willsee you next week.
Thank you so much, guys.
Thanks everybody.
See you yeah.
Robby (49:40):
Camera just died.
George (49:41):
Huh, She'll be right, we've got the front camera.
Robby (49:43):
Yeah.
George (49:45):
Processing.
I'm going to fuck the audio youup.
One day we're not going to do this podcast and it's
going to be just the electronicAI version of me.
Robby (00:07):
I can't wait.
George (00:09):
Think about it all the time we'll see that's going to
be sad.
Nah, we'll still do this.
People will get upset that it'snot AI and that we're actually
talking.
Robby (00:19):
I'm like humans.
Fuck, I came here.
George (00:20):
Yeah, what the fuck, I came here for the AI.
I didn't come here to hear twopodcast bros talk, as I've been
called before, podcast bros.
Yeah, we've been called podcastbros.
Robby (00:33):
Don't you read the comments?
George (00:35):
I read them multiple times.
We read all the comments, everysingle one of them.
All you haters out there,that's why we keep coming back.
We probably wouldn't do thepodcast if it wasn't for you.
Robby (00:43):
Yeah.
George (00:44):
We live to piss you off that's what we're here to do, um
ai so a couple weeks ago, we'rehaving a chat and you're like
hey man, have you heard of this?
I'm like what the fuck is thatlike in the movies?
Yes, I've heard of that, butnot in real life.
And I want to touch base withyou and have a discussion with
(01:07):
you, because you're a lot moreeducated than what I am and I
guarantee, if you are listeningto this right now, 90% of you
are not educated in this space.
Robby (01:15):
Oh, dude, I think it's more than 90.
George (01:17):
Maybe 98.
Robby (01:18):
I'll give it 2%.
I would say I'm not yet anexpert in this.
George (01:23):
Not an expert, but you're educated.
You're more educated than most.
Robby (01:26):
You understand the concept and what it can do.
Yeah, I've built an agent.
George (01:29):
Oh, we just dropped it.
I haven't said what we'retalking about.
Robby (01:31):
Yet Don't care, you ruined it.
I can't help it.
I'm going to turn the podcastoff.
I'm done.
We're in the time where speedmatters.
George (01:39):
Yeah, agents, okay, not just AI.
And whenever anyone thinksabout AI, like what's the first
thing you think of, what's thefirst thing they think of Chat,
gpt yeah dude, the only thing.
Robby (01:50):
Okay, so just before I walked downstairs and one of
your employees says hey, man,chat GPT just saved me three
hours.
Blah, blah, blah.
He's like this AI stuff's sick.
And I just looked at him andI'm like that is the most basic
of AI.
Like I said you're going tofreak.
And then I walked halfway upthe stairs and I said freak when
George fires you because hedoesn't need you.
George (02:14):
Heard it here first, but it's the equivalent of someone
coming up to you and go hey, Ijust did this thing where I
typed into a box and it's calledGoogle and then it showed me a
whole bunch of stuff.
Robby (02:26):
But that would be cool back then.
George (02:28):
Think about it.
That's what I mean.
Think about it.
Robby (02:30):
Think about it.
Imagine you're like how do youfind something out?
Let's drive to the library andfind the encyclopedia and we've
got to get the right letterbecause they're all in separate
books, because there's so muchinformation and it's not here.
So we'll come back next weekand then, hopefully by next week
, we can find out what thatthing was.
George (02:49):
Or you're like hey, we need to paint this wall.
Okay, Let me just go to theyellow pages see if I can find a
painter.
Robby (02:57):
Yeah, An AAAmasterpainter comes up and then you have to
go find the book, sit down withthe book, flick through the book
, find the person, contact them,whatever, and it's like you
can't believe it.
This is all on one thing nowyou just go here.
George (03:14):
It's this Google thing.
You go type in your seat.
What a funny word.
Robby (03:16):
Yeah, and everyone's like whoa no one had heard the term
Google Blew my mind Do you knowwhat Google is?
George (03:23):
Zero, yes, zero idea.
Robby (03:27):
You're about to blow my mind.
Oh man, I had this fact in mymind and I'm like I'm going to
drop this on the pot.
It's going to be sick.
Is it about Google?
No, but I'll tell you what aGoogle is.
A Google is a number, oh cool.
George (03:44):
Yeah, it's a Google.
Robby (03:44):
I'm going to Google what Google means.
George (03:47):
I'll show you right now.
Robby (03:50):
You think this is a game.
George (03:51):
What's a Google?
Hey Siri, what's a Google?
It doesn't work.
Robby (04:02):
It asked me if I wanted to use chat GPT.
Yeah, that's because, there yougo, anyway, if you can.
I don't know if you can zoominto that.
If you can't sort your shit out, yeah.
But there you look.
George (04:13):
I believe you, I don't doubt, there you go 10.
Robby (04:15):
Not a joke.
100 zeros.
That was the first time I everheard the term Google.
George (04:19):
It was in oh wow, yeah, no.
Robby (04:22):
First time I heard no.
George (04:24):
I can't remember that far back.
Robby (04:26):
I'm 40.
Yeah, I don't know.
I found it fascinating, I'mfascinated.
So yeah, that was that, it'sthe equivalent.
And now this is this.
George (04:34):
You know people are going and we did this at events
two years ago when we did ourfirst event, stood up in front
of a crowd and you're like, tellme, put your hand up if you've
heard of ChatGPT.
And you had like three peopleput their hand up and you do the
same thing today.
So put your hand up if you'veheard of ChatGPT.
Robby (04:48):
It's like everyone put their hands up.
I made the first ChatGPT videolike six days after it came out.
George (04:55):
Was it that early?
Robby (04:56):
Yeah, I got it early, people had never heard of it.
Yeah, I think I heard of ityeah.
George (05:05):
And then you had done it and then it's like you and then
you told me I have to check itout.
Yeah, yeah, and then I set upan account.
Robby (05:10):
Sorry, maybe it wasn't six days.
Maybe it was six weeks, yeah,but it was six something and it
wasn't six months.
Second, but nonetheless, nowyou go and you type into this
thing and it talks back.
So if you look at it from atechnological, like, let's just
(05:31):
lay it out.
Are you a visual guy?
George (05:34):
I'd say so.
Yes, yes, I would be, becauseif I'm trying to recall stuff, I
look like up and right, Isn'tthat visual?
You're looking in the rightpart of your brain when you're
thinking about it.
You're doing it right now.
Yeah, but I think everyone doesthat.
No, I think some people mightlook left, and I think that
depends whether you're no leftand right, one's creation, oh
(05:55):
well, this is the theory.
Robby (05:56):
One's Creative, creative, logical, one's no One's
creation.
Like you're creating thethought and the other one's
remembering.
So one's looking back and theother one's usually, if they
look left, they're lying.
Yeah right, oh, that's thetheory.
I don't know how well.
I've tested it.
But back to what we're saying.
Let's lay it out on a board.
(06:17):
Okay, so you, as a human, nowyou go and talk to chat.
Do you call your chat anythingChat?
Do you call it chat?
George (06:26):
Me too, hey chat.
Robby (06:27):
Yeah, me too.
Hey, chat, Do you message itgood morning.
George (06:31):
I haven't done that, no.
Robby (06:32):
Yeah me either.
George (06:32):
Good morning.
Robby (06:35):
I say thank you, of course, and please, and your
majesty and everything, justdon't kill me.
So right now there's a human.
Human talks to chat.
Chat responds.
That's the whole thing how itworks, right?
I talk to it, it talks back.
So imagine talking to a humanthat can only talk and you're
(06:56):
like, hey, blah, blah, blah.
And then they say da, da, da.
And you're like, okay, cool,like this human talks, that's
great.
Okay, cool, like this humantalks, that's great.
And then imagine, all of asudden now you're like, hey,
here's a computer, it's got allthese tools on it.
You've got my CRM, you've gotmy email, you've got all this.
And now you know how to think.
(07:17):
So you know how to reason withwhat I'm telling you and take
actions based on that, becauseyou can do that.
But you can only talk backbefore.
So if you go to chat GPT now andyou say, can you check what
I've got on tomorrow, you can'tdo that because it'll turn
around and say I don't haveaccess to your calendar, right?
So the next step is you give itaccess to tools and then you
can say, hey, what do I have ontomorrow?
And it says tomorrow you've gotthis at 3pm, this at 2pm, this
(07:38):
at one o'clock, blah, blah, blah.
And then you can say, cool,what's the weather tomorrow for
my appointments?
And they'll be like tomorrow,the weather's looking like it's
going to be this and that,because you've connected it to
your email, your calendar andyour weather app.
And then you can say, cool, canyou just send everyone I've got
a meeting with tomorrow?
Can you get the details fromthe CRM and just email them and
just confirm that they're goingto be able to arrive if they
(08:00):
haven't accepted the invite?
So it'll go check who hasn'taccepted the invite for your
things tomorrow and then go sendthem, grab their details from
the CRM and then email eachindividual one by one.
George (08:14):
A personalized message coming from you Right, this is
now.
Robby (08:17):
so this is basically at the point where you can say,
okay, cool, if I've got.
What does a human at a computerdo?
Say what.
What does a human at a computerdo?
Say what.
What does a human at a computerdo?
They sit down, they'reconnected to the internet.
Yes, get information and theyare able to use a bunch of tools
to get stuff done.
Yeah, anything a human doessitting at a computer can now be
(08:39):
replicated by an AI agent.
By an AI agent.
George (08:43):
So that's how you've got to think of it, then, don't you
?
Then think about how many ofyou sit at a computer and do
stuff?
Robby (08:49):
Yeah, and then if there's a step in the process where
let's just say, for example,part of your role requires you
to do something physically, thatwill probably be the only part
that you need to continue to do,and every other part will be
replaced.
Yeah, part that you need tocontinue to do, and every other
part will be replaced yeah,because it'll be in an automated
process that can be done byagents or a team of agents so
(09:13):
you might have.
George (09:15):
So can you have one agent that rules them all?
Yeah going to.
Yes, reference for lord of therings, because I know you're a
massive Lord of the Rings fan.
Huge One ring to rule them all.
Yeah, because you're going tohave many agents working for you
, so you'll have one that doesyour emails.
Robby (09:32):
So can I ask you a question?
Can you hire someone to lookafter your team?
Yeah, why can't you do this?
George (09:38):
Okay, so then, who would you be communicating with?
Would you be communicating withthe specific agent, or would
you communicate with the onethat rules them all?
Robby (09:45):
Okay, so let me ask you a question If you hire someone to
manage your team, do youcommunicate with the person that
manages your team or do youcommunicate with them all?
Depends what mood I'm in, butyeah, so you can do it depending
on what mood you're in?
George (09:57):
Yeah, so I could be, but from an agent point of view, I
would want it to be one thingthat I speak to, not multiple
things.
So you name your agents to makeit easy, I guess, to track what
they do.
Shout out to Reggie Reggie,let's crack in, and Julia for me
, and because Robbie's buildingagents, for us as well.
(10:20):
But so we got.
Yeah, I just want to bespeaking with Reggie, you know
what I mean.
I wouldn't want to speak toReggie, julia, frank Vincenzo.
Robby (10:30):
Yeah, that's up to you.
You can do that in real lifetoo.
You can do that.
You've got a GM in yourbusiness.
You could just talk to your GM.
George (10:38):
You could just talk to your GM.
Again, you're a massive moviebuff, but I think about Jarvis
from, say, iron man, where hewalks into the room and he'd be
like Jarvis, can you calibratethis or do this?
Or blah, blah, blah, and hejust talks to it like he would
talk to a human and similar towhat you said hey, what have I
got on tomorrow?
I said you've got meetings here.
Cool, can you push that back?
(11:05):
Because, like Dev and that'swhat I used to say like ai was
never, wasn't at that level whenit came out, like they didn't
exist.
Well, that's how I saw it and Ithink that's where ai is going
to be really powerful, when youcan start talking to it to do
those things for you and youwalk in.
It's like you walk in themorning and you're like hey, hey
, frankie, like what do I got ontoday?
it's like, yeah, like today,perfect example, I had a Zoom
meeting scheduled for 7 for 1212pm.
(11:27):
I actually called my PA and Isaid, hey, can you tell them I'm
going to be 10 minutes late?
And she's like, yep, cool, noworries.
So she emailed him, said, hey,10 minutes late, we're going to
start at this time.
She's like, yep, no worries,but you know, do that for me.
Robby (11:41):
You would.
George (11:41):
Say hey, reggie, can you I've got my 12 o'clock meeting.
Can you let them know I'm goingto be 10 minutes late.
So, yep cool, no worries, justsend them an email and it does
it.
It will do it.
That's now Someone.
So okay, that's powerful shitRight now.
Robby (11:56):
So okay, I could go now talking to your device and be
like hey, email, robbie.
So this will be connected toeverything you do.
So it's connected to your CRM,which has all your contacts.
George (12:09):
It's connected to your email.
Robby (12:14):
Would my CRM have just every single email that I get?
George (12:16):
Yeah, we can integrate that.
You can do that, yeah, so Idon't save my emails, they're
just kind of there they feed in.
Robby (12:20):
Yeah, so it's all integrated.
So as soon as someone emailsyou, they're in the system.
Yeah, cool, yeah, so you can.
You can go and say, hey, canyou email uh robbie and just let
him know that, uh, I want to doa podcast tomorrow and send him
a calendar for 2 pm, and thenit will go and formulate an
email based on how you'vetrained it to talk.
Yeah, and say, hey, robbie,blah, blah, blah.
(12:43):
George asked me to email you.
He wants to do a podcast at 2pm.
I've already sent him by atLibby no 4 Good.
George (12:49):
Yeah, and then does it do it instantly.
Robby (12:57):
Yes.
So when I say okay.
George (12:59):
So when I say like what's the?
It doesn't have to grab themouse on the new email, then
click on here, then write theemail, then type it out.
So could it do it done?
Do you know?
Maybe not done?
Can you do how you do this, dothat, can you do this, like will
it take five minutes, will ittake 30 seconds, like how it
(13:21):
depends it depends on howthey're trained.
Robby (13:23):
Yeah, so if they have to assess there's a couple of
things, if they're well trainedand they know that, okay cool.
I've done this task before andI know I need this tool, this
tool, this tool.
It's like, let me let me put itthis way I got someone who's
not to send an email quicker.
This is the exact same thing.
You know what I mean.
And people are asking questionsthat you could ask the same
(13:50):
question about a human and say,like, well, who's going to be
quicker here?
But if you're asking thequestion of a well-trained one
versus your PA, the well-trainedone wins every time.
Every time, it's not even close.
George (13:59):
Yes, and this is what's cool too, can.
Robby (14:01):
So then and this is what's cool too Can you type as
fast as ChatGPT.
George (14:03):
No, not at all It'll come up with the answer.
Then it'll be, and this iswhere you're also.
It's also pretty cool becauseI'll get Julia, my AI agent, and
say, julia, can you messageRobbie and find out, you know,
if he's available tomorrow to doa podcast?
And she's like, yep, no worries.
And then Julia actuallymessages Reggie, which is your
(14:24):
AI agent, and they speaktogether.
They're like, hey, reggie, canyou check if Robbie's free
tomorrow because I need to seeGeorge wants to do a podcast at
2 pm.
And then Reggie's like, cool,let me check his calendar.
Or goes through, checks yourcalendar and goes actually yeah,
robbie's available, I'll justconfirm with him and get back to
you and then just goes back.
Robby (14:50):
She goes cool, no worries , let me know and I'll send you
a meeting request.
And she goes.
You get a message on your phoneor a does a talk and says hey,
robbie, are you good tomorrow at2 pm?
This is what people are gettingwrong.
It would be like a human.
George (14:55):
So how would a human contact if, if it will call me,
huh, it will call me or messageme or something.
Robby (14:58):
So this could do the exact same thing so it could
call you it could whatsapp youlike hey, are you good?
Are you you good tomorrow for 2pm?
It's available in your calendar.
Just wanted to confirm.
George (15:06):
Yeah.
Robby (15:06):
And you'd be like yes, and it's like, all right, done.
Boom Goes confirms it was theother person, it's done.
Yeah, you know what I mean.
George (15:27):
And then you'd be like, okay, I want that cool.
Yeah, I say, okay, thanks,robbie, that sounds great.
Can you book it, make me andgive me an agent?
Like, how do I get an agentfrom?
Robby (15:30):
you, yeah.
So the first thing you need toask well, send me a dm, but the
first thing you need to ask iswhat do I want to do?
Because there are.
So I think let me, let me, yeah, because this is I've asked.
We went to a handful of clientsfour to be exact and said, hey,
this is what we're doing.
(15:51):
This is new.
It's recently starting to blowup.
We're going to be super earlyto market.
You'll get in at a fraction ofthe price, but it's going to be
a beta model.
You know what I mean.
You're one of the people weapproached.
We approached several otherclients.
If you're listening to this,they know who they are and the
(16:12):
biggest friction point we've hadis people don't know what they
want.
George (16:16):
Yeah.
Robby (16:17):
They're unsure, because you can't think about what you
don't know.
Do you know what I mean?
George (16:23):
And that's going to lead into my next question.
So it's like, okay, I startusing it to do my emails.
Yeah, all right, let's juststart there from an
administration point of view,because I actually get 100
emails.
Oh, come on, jake, I get 100emails a day if not more.
Robby (16:37):
So can you break down your filtering process for your
emails?
Yeah, I reckon I could.
George (16:40):
Yeah, I reckon I could.
Robby (16:41):
Yeah.
So if you can break down yourfiltering process and we can
train someone to filter it inthe same way, they could get
filtered and responded to.
So not just you can set rulesin Outlook to filter your emails
, you can get someone to respond.
So you can be like, hey, thistype of email I want you to
respond.
You know what I mean.
If the person's not in oursystem we've never heard from
them before, blah, blah, blah.
(17:01):
Or they're just, you know,reaching out because they want
to tender a job, respond to them, just say we'll get in touch,
save the details into the system, let's record them as, whatever
their trade is.
If they haven't mentioned theirtrade, google it or ask them
and it'll do all that for you.
And then you could say theseemails I want you to provide.
Say if, provide.
I say if someone emails usabout the job, provide them an
(17:22):
update as to where the job's at.
We'll connect you to ourproject management software so
you can see where the jobs areup to, where they're up to date,
and give them the updates.
I don't want to talk to them.
You do that.
And then if my mother or fatheror anyone in my immediate
family email, forward it throughto me, because I'll respond to
them yeah.
(17:45):
I mean wife and kids, blah, blah, blah.
I'll take that, but everyoneelse you sort out and it'll do
that, yeah, and it can talk tothem the same way.
You talk to chat gpt, right,but you train it the same way
you train, and you don't have todo chat gpt or open ai or
anything like that.
You can do any of them.
You can go do google one, yeah,you can do claude, you can do
gemini, you can do deep seek,whatever it's called.
Um, there's heaps, but they areall.
(18:06):
They're all.
Just, they're referred to asllms, so large language models.
It's like a brain, right.
So from the ai agent space,that's the brain.
Then you teach it what you needto teach, which is a knowledge
base, and he gives a bunch oftools, just like you do with the
employees.
You get them in they've alreadygot a brain, hopefully, yeah.
And then you get them in.
You, they've already got abrain, hopefully, yeah.
And then you get them in andyou're like, hey, this is how we
(18:27):
do this here.
This is what we're about.
This is what PASCAL is, this isour brand guidelines, this is
our vision mission.
Blah, blah, blah.
This is where the printer is.
You know what I mean.
This is where you go to toilet.
AI agent need annual leave andsick leave and public holidays
(18:49):
and shit like that.
Yeah, they'll take you to fairwork everything they need
overtime, dude no annual leave,no, sick leave.
George (18:55):
Okay, so I get Julia to come in and she's helping me
with all my shit.
Robby (18:58):
And.
George (18:59):
I call her and I say hey , do this, do this, so on and so
forth.
And then, as I'm working, I'mlike oh, now I need it to do
this.
So, whether it's Julia orGregory coming in, let's call it
Greg, not Gregory, let's callit Greg.
Gregory sounds like an old man.
Yeah, greg sounds a little bityounger.
Okay, greg.
So I've got Julia and I sayokay, cool, now I need someone
(19:21):
to arrange to sort out all myevents.
Can't Julia just do it all,instead of getting a separate AI
agent?
Robby (19:37):
Yeah, yes and no.
So they do have.
Can one of your CAs do it all?
George (19:43):
I mean, yeah, if they were really good.
But we're talking about anartificial intelligence.
This can take on a lot.
Maybe an individual personcan't take on that much.
Robby (19:51):
Yeah, but they also have some level of capacity.
So I think they can only run somany multiple things at any
given time.
They can actually multitask,actually.
George (20:01):
Yeah, exactly.
Robby (20:02):
But I think there is only so much that they can do at any
given time.
Now, the whole premise you want, though, is you want to build
it so that they are constantlydoing, constantly filled with
work, so just like you would itin business.
When you first the first personyou hired, they were probably
wearing multiple hats.
George (20:19):
Yeah.
Robby (20:19):
Yeah, you probably like a bit of this, a bit of that, a
bit of that, a bit of that ofthat.
Now, when you've got a thousandemployees, you hire more
specifically.
You're like, hey, your job isvideo editing and that's it.
I don't want to see you doinganything else apart from video
editing and on your break, youknow.
I mean, I don't want to see youediting photos.
I don't want to see youscheduling posts on social media
.
I don't want to see you, uh,trying to build an ad campaign.
(20:43):
Your job is video editing.
You're either editing orgetting better at editing,
that's it.
This is the same sort of concept, because you can get as many as
you want.
You can go from what they'retalking about at the moment
there's still very limitedinformation on this, by the way,
like online, but what they'retalking about at the moment is
(21:03):
they reckon in 24 months, thereis going to be more AI agents
than humans on the planet.
More AI, think about that.
That's seven, eight billionmore AI agents than humans,
because you will go from having10 staff to having four staff
(21:25):
and 78 AI agents, because now,all of a sudden, your team has
had 80% of its job replaced.
It's like all the manual,repetitive stuff that they do
over and, over and over again.
They don't need to do anymore.
There's now a tool AI is a tool.
Dude, there is now a tool thatcan do that for them.
(21:46):
Like the same way, and havingan employee is a tool.
This is an employee that livesin your computer.
George (21:52):
Yeah.
Robby (21:53):
Or lives in the internet world yeah, as I like to
describe it.
But most people can't evenfathom how they would use it,
because they still can'tcomprehend what they can replace
, because we're so used to doingthings in a particular way.
George (22:12):
That's right.
Yeah, I mean, even for me, asyou said, I keep reverting back
to my primal instincts ofsending an email by myself or
doing that task by myself, andyou're like, no, no, the agent
can do that for you.
Robby (22:23):
Yeah, the agent can do that for you.
That's the next step.
That's sorry, that's now.
Yeah, so it should be like hey,email George.
George (22:32):
Okay.
So back to what I was saying.
Okay, cool, the business iscoming and says all right, I
want to start embracing this AIshit like this AI agent stuff
Now.
I want to start embracing thisAI shit like this AI agent stuff
now I want to embrace it.
I get Julia.
I want you to make Julia for meto do my memos.
Robby (22:44):
Julia with a G.
George (22:45):
Yeah, it has to be with a G, clearly.
Yeah, g-i-u-l-l-i-a.
I could spell it however I want.
Robby (22:56):
Yeah.
George (22:56):
She won't even be upset.
Robby (22:57):
I don't know, no, not yet .
George (23:01):
Not yet.
Give it time.
Don't piss them off yet.
Oh, it's probably okay to pissthem off now, but they'll just
remember in the future.
Yeah, they can't do anythingabout it now.
They'll remember me and you'relike when they send an email to
your client telling them to fuckoff.
Hey, this is.
This is Julia.
George just wanted me to tellyou.
I overheard him talking aboutyou today, Dude that.
Robby (23:22):
If you don't believe me, here's the recording.
Here's the recording and here'sthe video.
And then I even said are youtalking about this person?
George (23:28):
And then he said yeah, fuck that guy, Fuck that guy,
this is their flyer, and thenshe blackmails you that I'm
about to hit send.
Robby (23:35):
Yeah.
George (23:41):
About to hit send.
I need a boyfriend.
Make me an AI boyfriend.
Yeah, all right.
All right, relax Sideways.
I don't even know what I wasgoing to say.
Okay, yeah, so I'm a businessand I want to start embracing
these AI agents.
Okay, how does it work?
As far, do I have to go to awebsite and log on and download
something?
Is it magically uploaded intomy computer like a virus?
(24:03):
Like how does it?
How do I get the agent?
Like where is it an app?
Like what is it?
Where do I go?
Okay, there's Julia.
And then do I, do all the otheragents live on that app?
Like how do I access all ofthese things?
So when I'm talking to my phone, I'm like, hey, julia, and
she's like, yeah, hey, how areyou, george?
Robby (24:21):
Good, x, y, z, yeah, so there are platforms AI agent
building platforms, the same waythere are data platforms.
So what's the best part of hereis like we're about to
completely knock CRMs out thepark, and then some people still
don't know what a crm is yeah,it's so funny.
(24:42):
Yeah, but what's a crm?
George (24:44):
yeah, client relationship manager.
But what is it?
It's a.
It's a point of entry for allyour information and then being
able to store it and communicate.
But what is it?
It's a management tool yeah, no, no.
Robby (24:57):
But if you were to break it down and take away what it
does, what is it?
It's a software, it's a pieceof code that works in a
particular way, like a platformthat you go on that stores data.
Yeah, that's all.
It is right.
It's a platform you log on andit just has all your information
.
Yep, yep, yep, essentially, yep, this is the same thing.
Okay, so then I would get sowould it come through the?
George (25:19):
the platform would be the website, so I'd log onto a
website.
Robby (25:22):
Yeah, yeah, you'd give me user details for a website.
George (25:25):
Yes, it all lives on the internet.
Okay, so then I get that when Iget into work in the morning,
yeah, okay, do I just turn on mycomputer and say hey, julia,
how are you?
Robby (25:34):
We, however you want, I can make it so that you can talk
into your phone.
George (25:39):
Yeah, instead of saying instead of addressing Siri or
chat, we can connect it throughWhatsApp so we can give it a
dedicated number.
Robby (25:45):
Yeah, connect it through WhatsApp.
We can give it a landlinenumber, a mobile number.
Yeah, we can set it up so thatyou talk into a telegram.
You know what I mean.
So you can be like hey.
So you can be like hey, andyou've got a dedicated thing.
And you know everything I sendthrough here is going to this,
to my human.
Do you know what I mean?
So you can talk to it directly.
But, yes, it lives on theinternet, on a platform.
(26:07):
Platforms that are out now arelike Relevance, relevance, ai,
bland, ai, voiceflow, vappy,there's heaps, yeah, yeah.
George (26:19):
NADN N8N.
N8n is a really popular one.
This is where you build theagent.
Robby (26:23):
This is where you build the agent and it's all stored.
George (26:25):
So now you've got an agent that does let's just say,
you've built an agent for thatparticular purpose just managing
boxes.
Yeah, that's it.
That's all Julia's going to do.
Yeah.
You going to do yeah, you'regoing to send it to me.
Robby (26:37):
I'm going to get it.
George (26:38):
Yeah, Now do I need to?
Is there a backend thing thatyou have to?
Is there prep that you have todo?
Do you have to say, okay,you're using Outlook, I've got
to connect you to George'sOutlook.
Yeah, Do you do that?
How do I do that?
Robby (26:53):
Do you get?
George (26:53):
instructions no, so we build them for management.
Robby (26:56):
So you need to make sure that things are up to date,
because if it loses connectionwith the tool, it can't turn
around and say one sec.
Let me pick it up.
George (27:07):
If Outlook is down, you can't send emails, even with
your employees.
If the internet goes out, theycan't use the tools to send an
email.
So will the agent be able toself-teach, or do you need to do
that on your end?
So say, if I go, okay, julia, Iwant you to start his outlook,
just organize any emails you getfrom these people.
Just delete them.
It's spam.
(27:27):
I just want you to delete themstraight away.
Any email that I get from myteam say, hey, you can answer it
based off what I would say.
This is the rule.
So on and so forth.
Do I need to tell you that orcan I?
Similar to how, when you talkto ChatGPT, it gives you the
answers by the prompts that yougive it?
Do I have to train the AI agentor is it you that does that?
(27:48):
Like I'll call you up and say,hey, I want it now to do this.
I need it to also connect to mycalendar and the weather,
because I want to do 80% of mymeetings outdoors now.
Robby (27:58):
So certain aspects it will self-learn, and then
there's particular aspects whereit would have to be done on the
back end, like it's not goingto be able to go and connect
itself to an app.
You have to get someone to goand connect it to it.
George (28:11):
So then could I have Julia connected to my emails,
but also connected to WhatsAppat the same time?
Robby (28:16):
Yeah, and then you could WhatsApp Julia.
George (28:18):
Go into the PASCON.
You know WhatsApp group theoperations group and it'll be
there.
Yeah, so I would add her as aperson.
Robby (28:24):
Yeah, yeah, so it would sit there as an individual.
George (28:26):
Yeah, and then I could say hey, can you.
Just there could be 100 and 200messages that go there.
Yeah.
Robby (28:41):
And then you could message her separately and say
can you give me a summary fromthat group chat?
George (28:44):
Oh my God, marry me.
Robby (28:46):
Do you?
George (28:46):
get what I'm saying.
Robby (28:56):
Should I tell my wife about Julia?
This is what I'm saying.
Of course I should.
Yeah, I don't have to do thething anymore.
Yeah, it'll do the thing.
Do you know what I mean?
George (29:03):
The same way it does, because this is what I mean
right, you could build thisagent now and whilst it's
tailored for me, it can betailored for it could be used by
everyone, as in all these otherindividuals and companies.
Robby (29:16):
Now, yeah, the template, yeah, but the training no the
training.
George (29:20):
I have to do.
Robby (29:22):
No, it's got to be fit to PASCOLON.
George (29:24):
Yes, of course, of course, but I'm saying
specifically for the time beinglike the emails, the WhatsApp,
like this agent, you've built itnow, yeah, yeah, I'm just
thinking of this fucking bubbleon the internet or on the
platform.
Yeah, you can use that bubbleand plug it into another company
.
Robby (29:40):
No, why?
So you can use the template.
So, I want you to think of itlike this If there is okay, you
built this house.
George (29:51):
So you can now make me the same house.
Robby (29:54):
like that right, yes, no, you can't.
George (29:55):
I could Do.
You know what I'm saying.
Robby (29:56):
Yeah, yeah, I can build you that same house, I can
probably build it much quicker.
Yeah, I've kind of got theframeworks and I know the stuff
and we've got all the designstuff and I've got leftover
supplies.
George (30:03):
I've got that house.
I want to build that.
If you want that same house,yes, I can build it for you.
So I have to go out andactually physically build the
whole thing from scratch.
So you have to build a brandnew agent from scratch.
Robby (30:14):
So, no, no.
So the same way you cantemplate, so the same way you're
not building the house fromscratch because the design
process is already done.
George (30:20):
Yeah, so the design process is done.
Yeah, yeah.
Robby (30:23):
We can take the design, we can upload, so that the
platforms allow you to uploadtemplates.
So I can say, okay, cool man,this bot that we've created that
does all these things, turnthis into a template, and now I
can clone that because I.
You still need to make it.
You, yeah, does that make sense?
So like this now I've trainedthis for George.
What if so-and-so down the roaddoesn't want the same thing as
(30:45):
George?
Yeah, he's like no, no, myemails, I want this, this and
this.
And it's like, okay, we need tomake it.
Do that.
Okay, the same way.
Someone come in and be likewhat color paint.
George (30:53):
So the plans are the same.
The plans are the same, butthen the execution of building
it has to be-.
The body is the same, it stillhas to be built.
The frame is the same.
So does that then say Does thatthen mean it's going to take
you a long-.
So is it hard for you to scale?
No, what's why Everything isscalable, I know, yeah, that's
(31:15):
what I mean.
Robby (31:20):
So could you have an agent that?
George (31:21):
builds agents.
Yeah, I don't think they havethat yet.
Yeah, but you know what I mean.
So I'm trying to say, like howcould you sell?
Sell 10 000 of these agents topeople.
I don't know you don't knowthat answer yet.
Robby (31:30):
Yeah, that's why I'm just thinking there's, there's,
there's.
George (31:33):
It would be a long process if you have to build 10
000 agents now, yeah, that's abig process.
Oh, if you, if you have 1,000employees and you want all your
employees to have a Julia, canthat work too?
Why not no, I'm asking you.
I don't know.
Robby (31:50):
Yeah.
So if you've said hey guyswe've now rolled out a new AI
agent.
George (31:54):
They'll be numbered.
This is our agent.
Her name's Julia 37.
So each person will have theirown Julia number.
Robby (32:01):
Yeah.
George (32:07):
How many names are you going to have?
I'm looking at it from what?
the agent does, yeah, so byputting them in a box.
So Julia is our email andorganising agent.
It's like your own personalassistant.
So, everyone, this is Julia,julia, this is everyone.
Julia, this is everyone.
Yeah, everyone gets to meet herand has those.
So could she be intertwinedwith all the other Julias, like
(32:28):
Julia 14 and Julia 37?
Yes, and know what these peopledo and how they talk and all
that sort of shit?
Yeah, and then learn from thatas well, like, would she learn
about the company, about howeveryone writes emails?
That as well.
Would she learn about thecompany, about how everyone
writes emails?
Then maybe I could have Julianumber one, because it's the
number one.
I say Julia, who's fucking up?
Send me a report.
(32:48):
Who's not doing this?
Who's?
Robby (32:49):
doing that?
Can you do that as in?
Can they see what other peopleare doing?
Yeah, Could.
George (32:53):
Julia number one.
See what all the other Juliasare doing.
Robby (32:56):
If you set it up that way .
Yes, if she has access, but canyou see what your employees are
doing?
George (33:00):
If I wanted to yeah, so why can't?
Robby (33:03):
this be set up like that.
There's only one way that youwould see your employees that's
not transferable, and that's bysitting opposite them.
Yeah, so the AI agent itselfthen do you need to train it per
employee?
George (33:19):
No, why no?
I'm just asking Because they'regoing to have different ways
they operate.
I don't mind if they havedifferent ways of doing things.
Robby (33:25):
Your employees bend for the business, not the business
doesn't bend for the employees.
George (33:28):
Yeah, but if they have a certain way of filing that
works for them, for example, andthey want to do it a certain
way as long as they're gettingthe work done.
Robby (33:35):
I don't give a fuck yeah, but that's just a bad training.
Yeah, you know.
I mean, humans are hard totrain yeah they're stuck in
their ways, but you train thishow you're real yeah you know
what I mean.
And if I, if I have 10 childrenand I train all of them the
exact same way, they will allcome out pretty similar, like
(33:58):
you'll'll find.
Like the family, they all dothis or they all like this,
whatever it is, they'll all comeout fairly similar.
Yes, you can argue oh, but thiskid does this and this kid does
that, and it's usually becausethere's a slight difference that
you haven't paid attention to.
In my opinion, I don't thinkhumans are born with traits.
Do you reckon humans are bornwith traits?
George (34:14):
No, they're given, they're picked up.
Yeah, they're picked up?
Robby (34:16):
Yeah, they're picked up.
Something you know what I mean?
Like the, the traits are allpicked up from things that we're
not even aware of.
Uh, we, we lack awarenessaround.
Even though you can sit thereand say I'm enlightened
individual, it's like you stilllack awareness, like you're not
aware of everything.
You cannot be aware ofeverything.
You'd it'd be sensory overloadto every single fucking thing
that's happening.
And this is like that.
(34:39):
So you can train these.
And if, technically, if I trainone and this is my training
regimen, so this is the and bytraining I mean feeding them
information.
Yeah, so I give them a bunch ofinformation and they work off
that.
That becomes a knowledge base.
If I go copy and paste that thenext one should do the exact
same thing, they don't sit therelike.
If I go copy and paste that thenext one should do the exact
(35:01):
same thing, they don't sit therelike oh, but I like to do it
like this.
It's like no, you don't Do itthis way, Then we don't.
And it knows it's broken downinto a series of steps.
George (35:13):
You know what I mean.
Humans are complex.
Yeah, so now I've got Greg.
Greg working for me AI agentand you're actually building
you've actually somewhat builtthis already and Greg's just
going to call everyone that'sgoing to come to our next event.
Yeah, Say hey, Robbie, great tosee you, Really excited to have
you at the next successconference, such and such.
Just wondering if you have anyquestions, whatever it might be.
(35:34):
Yeah, so it's these agentsactually calling every single
person, yes, and getting theinformation You're actually
building that for us as we speak.
Yeah, that's pretty cool.
Robby (35:46):
Very cool.
George (35:46):
Yeah, now, instead of me paying my PA to do it for three
days.
This AI agent can now.
Now, will it make one call at atime, or does it go out and
make 30 calls or 50 calls at atime?
Robby (36:00):
So if you're going to do that, you've got to connect 50
phone numbers Right, which,unless you had a large amount.
George (36:06):
Yeah, 100,000 people you had to call.
Robby (36:08):
Another thing you need to factor in is like can it
process that much information atonce, if it's talking to 150
people at once, can itcomprehend everything happening
all at the same time and howpowerful the models are?
Because the models are gettingmore powerful.
George (36:20):
That's what I mean.
Like I would imagine that thisis at a point where it's getting
to become limitless.
Like what's the constraint?
Is it electricity?
Like, is it memory?
Is it like what's theconstraint?
Robby (36:29):
Yeah, it's that they aren't completely developed yet.
George (36:32):
Yeah.
Robby (36:32):
Yeah, that's what it is.
They're developing over time,like the time, like they're
getting smarter and smarter andsmarter.
And then, if you realize,there's different models.
So if you go into chat gpt, andyou'll see like, uh, you might
have gpt 440, all right, or 40.
And then there's 45, andthere's 30, and there's 30 mini,
there's 40 mini, and it's likeeveryone has slightly different,
(36:55):
more capability.
It's like, hey, man, I'vetrained this kid to be good at
maths, but this, this one, she'sa really good writer.
Do you know what I mean?
And it's like they're bothgreat, but they're both more
skilled in different ways.
So, you can have different.
They refer to it as the brain.
So, like the three aspects thetools, the brain and the
(37:16):
knowledge base you can havedifferent brains for every
single, and that's why you, youcan have different brains for
every single, and that's why youwouldn't have one doing
everything.
George (37:25):
Yes, Now will it get to the point where you might have
one doing everything.
Yeah, maybe, yeah, that's right.
Yeah, so that's cool that we'vegot that one getting built at
the moment, because, thinkingabout, as you said, I don't have
to pay it, it's getting it donein probably a lot quicker time
than someone physically pickingup a landline and calling and
dialing the numbers and hey, howare you?
Hey, how are you?
Oh, I forgot to tell them thatshit.
Robby (37:45):
It's also the cost.
Yeah, do you know what I mean.
So we use now we have a salescopilot and what that is is,
before anyone gets on a salescall, we input someone's
LinkedIn URL on their websiteand it goes and it scrapes their
website, scrapes their LinkedInURL and it tells us everything
about the individual, thecompany, and then knows
(38:07):
everything about our company.
So how we fit in.
So it'll be like hey, robbie,you're going to work with George
.
George's weak points in hisbusiness are this and this and
this, and I think your companycan help them really well from
this angle.
You know what I mean.
It gives me some opening linesand this is what we've trained
it on, so we can train it to bewhatever we want.
I can be like hey, you onlygive me three opening lines,
(38:28):
give me five every single time,and so, okay, cool, hey, you
mentioned this every single time, don't mention this anymore,
okay, and we just continuallyrefine it.
Right, that's a very basic typemodel.
But if I said to someone,someone on the team, hey, I'm
going to meet with George fromPascon, can you go look at
George's LinkedIn Profile?
(38:51):
Yeah, go look at his website,and then I want you to provide
me a full summary of how I canapproach this call Like a
one-page summary.
How long would that take?
George (39:00):
Yeah, two, three hours, four hours, whatever, yeah.
Robby (39:03):
Time.
How much is it going to cost?
George (39:04):
Yeah, exactly their hourly rate.
Yeah, plus the opportunity costof everything else they could
do 30 bucks an hour.
Robby (39:11):
It's going to cost you a hundred bucks to get something
like that done.
It costs you about three centsand it happens instantly.
So you get it within a minutemaybe less like that, cause it
goes.
It looks at the whole.
Linkedin comes back with thiswhole thing.
I reckon it'd be close to aminute because it's got to
scrape the data and do all that.
(39:33):
But within a minute you've gotthis full summary.
It's cost you three cents andall of a sudden now, like
imagine you had someonededicated to market research in
your team.
That person's gone.
He's lost his job.
Yeah, because now I've gotsomeone who can do it a hundred
times quicker for one hundredththe cost.
How do you compete with that?
(39:53):
You?
don't yeah, so no cost or lowcost yeah, low cost um no annual
leave, no sick leave, no hrissues, no fair work letters uh,
(40:16):
and it'll probably get to apoint with very few mistakes.
Yeah, well, it'll be less thanonce, and as it continues to
develop it's just going to startto nail everything every single
time.
George (40:31):
It may not be perfect.
The first one.
Robby (40:33):
Yeah, but here's the best part.
Here's the best part.
So let's say you've got areally complex thing that you do
.
Let's just say, for example,tenders, quotes, tenders,
estimates.
There's a lot of detail in anestimate, right?
So then you notice, fuck man,it keeps making this error, or
(40:56):
it keeps making that error, orone in every five there seems to
be an error.
Okay, so let's build an AIagent that can check this for
them.
Yeah, it's like let's buildsomething that can then refine
it and is taught to train thisand tell it when it makes a
mistake.
And then all of a sudden,you've got Greg and Julia
(41:16):
talking and Greg's trainingJulia, because obviously men are
better.
Do you know what I mean?
George (41:24):
Yeah.
Robby (41:25):
And it's like, okay, cool Now, that thing I had to do
manually I don't have to doanymore.
It's like it's already gettingdone.
George (41:33):
Because that's where I saw or maybe you mentioned it
like that's where I saw a hugeinefficiency in my business was
the tendering aspect of things,and you know there's even human
error to take into consideration.
Robby (41:42):
Yeah.
George (41:42):
Have I made a mistake on doing a takeoff or did my team
make a mistake on doing this ordoing this, whereas this will be
able to look at the plans,interpret them and, in 10
minutes, give you.
Okay, george, this is going tocost $6.4 million, yeah $6.4
million $6,483,913.
Robby (41:58):
483,913 cents, yeah, and probably be more accurate than,
or at least get to the pointwhere it will be more accurate
than.
George (42:05):
And that's yeah, and that's an agent.
That man you build that it'sworth millions.
Yeah, to a person building that, like as into a company that's
worth so much money Because allof a sudden, what used to take
you six weeks time.
Robby (42:19):
This is where you're getting wrong.
It's not an agent.
It might be 40 agents.
George (42:24):
Yeah, whatever it is you know what I mean.
So would you have one that doesthe takeoff, one that does the
money, one?
That does the whatever, it isProbably the proposal.
Robby (42:34):
Yeah, and then one that you give the information to at
the start and say, go, sort itout.
And then he goes and speaks toevery single one and then comes
back to you 20 minutes later andsays yeah.
And then you're like what thefuck are you doing?
And you look at it and youstart flipping and you go and
you say what the fuck?
You guys want your jobs becauseI'll replace you on christmas
(42:56):
yeah, you want your christmasbonus.
Do you want to go home and seeyour families?
Because I will replace you veryfast.
George (43:03):
Yeah, and that's the sort of shit that's so powerful
there.
You know that's from methinking about it.
You nailed that.
For me that's worth its weightin gold, especially like if
there's a level of nervous.
I'd be checking it at thebeginning anyway, as in probably
doing it manually myself andgetting them to do it to see how
accurate it gets or how closeit gets.
Robby (43:23):
And then you're like it's off.
Two nights You're off.
George (43:25):
Yeah, two nights ago, no , yesterday I submitted a tender
and for me to put the actual,so I did all the numbers, had
everything there, it was allgood to go, and then putting the
actual proposal together tookme throughout the day, let's say
a couple of hours.
All right, I know for a factthat you train an agent to do
(43:47):
that.
It'd be done in like threeminutes or in 30 seconds.
Robby (43:51):
This is where people will get let down.
It's like most people don'tknow what they want.
Yeah, and it's like they'relike you like put the proposal
together and then they kind ofwork at it as they go and
they're like, yeah, this is goodenough, whatever, you know what
I mean.
You need to have thingstemplated, defined, that's right
.
George (44:09):
And I've kind of got that already.
So I've got a lot of templatesand I can say this is an example
of the proposal that I give.
Yeah, these infamous all thisthing, all this, all this blah,
blah, blah blah.
It needs to include all thesethings, and then obviously I
would still look through itbecause it might be specifics or
things that I need to update orwhatever it might be.
But ultimately, instead of thattaking me two hours or three
hours to put together, it takes10.
Robby (44:29):
It might take you 20 minutes.
George (44:30):
Yeah, you know what I mean.
It's a much simpler process andit saves me so much time.
Not only has it done a six-weekjob for me in half an hour,
it's then done the three-hourtask for me in five minutes and
taken me 20 to do.
Robby (44:44):
Yeah and it's like the same way you would look over it
when you gave it to a newemployee, and that's the exact
same thing and you'd still saylet me check it.
That's right, Let me just makesure that this was right and
you'd see what they did andyou'd be happy with it within
your company's Companies'guidelines.
The exact same thing Until youget to the point where you're
like I know they're good, Idon't have to check this anymore
, that's right.
That's right, they are good.
The same way you build thattrust with an employee.
(45:07):
You're going to build it thesame way here.
The same way they're going tounderstand how you communicate.
It's going to be the same thinghere.
The AI is going to learn andit's going to be like I'm going
to double check this becauseGeorge gets angry.
Because George gets angry whenthere's an error on the last bit
and it takes that in.
It's got the ability to reason,which is thinking.
You know what I mean and thisis something we haven't dealt
(45:29):
with before.
George (45:30):
Yeah, exactly.
Robby (45:32):
It's going to change everything, dude.
George (45:33):
Yeah, man, it's so cool.
Do you know what would be great?
It's like when we double backon this conversation in 12
months' time, you know.
And then we've got agents inthe business, You've got things
that are happening or you seewhere the space is and everyone
knows what an agent is and it'slike a normal part of life.
And then you see everydaypeople using agents, even like a
mum or a dad to order theircoffee you know in the morning,
(45:55):
yeah, but that's going to happen.
Robby (45:56):
This is what I think people aren't understanding.
It's going to happen.
This is what I think peoplearen't understanding.
It's gonna get to the pointwhere it's.
Imagine.
At one point people were likewait you, you connect the old
thing, you plug it into the walland you connect and you dial
something and it makes theseweird noises and you connect and
you can talk to other peoplesomewhere else.
Yeah, like that's bizarre, likehow?
George (46:16):
do you know who's on the other side?
Yeah, how do you know?
Robby (46:17):
who's on the other side.
That's fucking insane.
George (46:20):
Do you?
Robby (46:20):
know what I mean.
And now it's like you fuckingtake Wi-Fi off a kid, he turns
into a crackhead.
Do you know what I mean?
They fucking lose their shit.
We can't live without theinternet.
We've become so dependent on it.
This is that People are goingto become so dependent on it,
(46:41):
Like so, so, so dependent on itbecause this is so powerful.
It's just going to become a wayof life and we're not going to
remember what life was like.
Can you imagine not being ableto find something out instantly?
George (46:49):
Yeah.
Robby (46:49):
Like can you think about that?
There was people who went theirwhole life without being able
to answer a question.
George (46:54):
Yeah, their whole life, which is why it was, like you
know, even at school they taughtthe capital of Brazil, you know
, and all these things you'retaught, these useless things
Like, why would we need to learnall of these things now, when I
can just pick up my phone andGoogle it?
Robby (47:08):
Yeah, if I want to know what the thing is, I can learn.
George (47:10):
Like it's not an issue anymore.
Robby (47:13):
Because the way we're living is going to change.
Like I think the next thing isgoing to be about leverage, like
how do I build systems that Ican leverage in my life?
Do you know what I mean?
And there's a whole bunch ofdoomsday theories where they
think humans are going to becomeirrelevant, like we're going to
be the less superior species.
(47:33):
But that isn't going to happen.
We're going to be the lesssuperior.
This is going to Sam Altman,the CEO of OpenAI, which had JT
turned around and said my kidsare never going to be smarter
than AI.
Yeah, he's like I have toaccept that they're never going
to be smarter than it Ever, everthey're going to grow up in.
(47:59):
He's like is there downsides tothat?
Yes, he is, but there's alsomany upsides.
George (48:03):
Yeah, it's like man.
It's how you take it.
Robby (48:08):
Yeah, but it's happening, it's happening.
George (48:12):
Yeah, like man, you could talk, you could have a
massive conversation about thisfor a very long time, this for a
very long time.
You know what?
Robby (48:19):
I mean.
George (48:19):
Yeah, very long time and it's great.
It's exciting because it's thefirst of many conversations.
I think we're going to have.
Robby (48:28):
We'll keep everyone posted with how this is coming
along.
George (48:32):
That's it.
But the only way you'llactually know about the status
of this conversation is if youare subscribed to the podcast.
So if you haven't done soalready, definitely do it, and
then tell all your friends aboutit, because that's how we can
reach many people, haveinteresting and in-depth
conversations day in, day out,week in, week out.
Robby (48:51):
Week in, week out, every Monday New episode landing.
George (48:55):
You know where to find us.
That's it All right, guys.
Thank you so much.
I hope we've been.
I hope we've just tickledsomething inside of you.
Yeah, I hope you catch.
I hope you catch the bug.
Robby (49:07):
Yeah, and I hope you go and you do something with this
and you say hey, let me justlook into let me just Google.
These guys are weird but, letme look into it a little bit to
see what's coming, because Ithink most people have no idea
what's coming.
Dude, like no fucking idea.
George (49:29):
And on that bombshell, I hope you all have a
million-dollar day and we willsee you next week.
Thank you so much, guys.
Thanks everybody.
See you yeah.
Robby (49:40):
Camera just died.
George (49:41):
Huh, She'll be right, we've got the front camera.
Robby (49:43):
Yeah.
George (49:45):
Processing.
I'm going to fuck the audio youup.
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