WEBVTT - AI Agents Will Replace You Sooner Than You Think

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<v Speaker 1>AI agents, AI agents. I know you're big AI agents

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<v Speaker 1>right now, let's talk about AI agents. How you came

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<v Speaker 1>to this epiphany about AI agents. Explain what an AI

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<v Speaker 1>agent is like, let's break down. Let's have this technology conversation.

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<v Speaker 2>Absolutely, can y'all see me, I'm coming in and Claire

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<v Speaker 2>serve all right? Bet well?

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<v Speaker 3>First of all, for those who don't know nineteen keys

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<v Speaker 3>well with the thought leader, I lecture around the country,

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<v Speaker 3>and what my gift is is pattern recognition, Right. I

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<v Speaker 3>see things before most people, and I then try to

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<v Speaker 3>take that information, synthesize it and give it to the

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<v Speaker 3>average person so that they can actually use it in

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<v Speaker 3>some useful way. Most people are too busy to understand

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<v Speaker 3>things that's going on in technology, science, economics, right even

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<v Speaker 3>when we talk about cognition in a state of thinking

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<v Speaker 3>as the lack of critical thinking today. And I'm trying

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<v Speaker 3>to make sure that the culture is a breasting up

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<v Speaker 3>to date and all of our global entrepreneurs who are

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<v Speaker 3>focused on generational wealth right now, So that's that is

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<v Speaker 3>that you have a Is that your phone?

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<v Speaker 2>Yeah? That was the team hitting me up. Let me

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<v Speaker 2>go on, So.

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<v Speaker 3>AI agents and I want to keep this in simplest terms.

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<v Speaker 3>And I think we was here before, and I was

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<v Speaker 3>explaining why we're now in that era where you don't

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<v Speaker 3>have to over explain things because the beauty of it

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<v Speaker 3>is everybody does have AI, right, And if you're intelligent

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<v Speaker 3>enough to say, okay, what is an AI agent, It's

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<v Speaker 3>a semi autonomous right, artificial intelligent machine, right, That is

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<v Speaker 3>software that can act for you. So you can set

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<v Speaker 3>up an AI agent and say, every single day, I

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<v Speaker 3>want you to tell me what the weather is.

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<v Speaker 2>It can be something as simple as.

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<v Speaker 3>That, or you can say every single day, and you

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<v Speaker 3>can have more complex things where you can feed these

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<v Speaker 3>agents what they call skills, and these skills allow them

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<v Speaker 3>to do repeatable things, right.

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<v Speaker 2>And so sometimes I have my AI agent hold on me,

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<v Speaker 2>tell the team that just relax on the texting.

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<v Speaker 3>Sometimes I have my AI agent send me briefs every

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<v Speaker 3>single day going through all of my content. And what

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<v Speaker 3>I've done is I built out what they call a

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<v Speaker 3>second brain system. Now, I had predicted that these things

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<v Speaker 3>were going to occur a few high level conversations ago,

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<v Speaker 3>maybe about two to three years, right, And now yeah, yeah,

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<v Speaker 3>and that was finally in that place where I can

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<v Speaker 3>actually build out a lot of the things that we

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<v Speaker 3>were predicting when at first it was we would tell

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<v Speaker 3>you about them, but we didn't actually have the ability

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<v Speaker 3>to act on them, right. And so the second brain

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<v Speaker 3>system is essentially me using something called Obsidian, which is

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<v Speaker 3>this boat where you can keep all your data in.

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<v Speaker 3>And what I've ingested inside this boat is as much

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<v Speaker 3>data as.

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<v Speaker 2>I possibly can one myself were coming in clear, I

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<v Speaker 2>know it sounds like there's a little that going that

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<v Speaker 2>to be the case. We got one second Mike mead

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<v Speaker 2>out the check and we're trying to cook today. Oh yeah,

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<v Speaker 2>we got you, all right, bad bad bet all right.

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<v Speaker 3>So we build out a second brain system, and everybody

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<v Speaker 3>should write that down and put it in a chat

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<v Speaker 3>if you can, and you use something called Obsidian vote.

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<v Speaker 3>This Obsidian vote is essentially a space where you can

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<v Speaker 3>collect all your data. So I ingested all my data

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<v Speaker 3>from Twitter, I ingested my data from YouTube, Facebook, Mini

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<v Speaker 3>chat analytics. I've done it across anything that I can

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<v Speaker 3>possibly ingest, from claw to chat GPT. Therefore I can

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<v Speaker 3>see all of the things that I've been working on,

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<v Speaker 3>thoughts that I forgot about, patterns that I have that

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<v Speaker 3>are reoccurring across time, all the way from the last

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<v Speaker 3>ten years up until now.

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<v Speaker 2>And what ended up happening is there's actually a graph

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<v Speaker 2>that it shows you.

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<v Speaker 3>You can barely see it, but I'll show you right

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<v Speaker 3>here to where your graph is like a knowledge graph.

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<v Speaker 3>Each one of these points is a piece of data, right,

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<v Speaker 3>So this might be a tweet right here that then

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<v Speaker 3>connects to something. Right, this one says, this work gets

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<v Speaker 3>harder because we.

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<v Speaker 2>Independent while I was cooking a day, understand me.

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<v Speaker 3>But then each one of these is connected to more information.

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<v Speaker 3>This might be YouTube, this might be Twitter, These might

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<v Speaker 3>be data that is training, something on my dashboard, or

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<v Speaker 3>something else might be from Instagram. And then what I

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<v Speaker 3>do is I take each one of these and I

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<v Speaker 3>connect the patterns across time. So then I could feed

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<v Speaker 3>that to my agent and it becomes his mind. And

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<v Speaker 3>so it's a little more technical on the back end

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<v Speaker 3>as far as making sure it has a consistent memory

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<v Speaker 3>so that every time you give it a task and

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<v Speaker 3>remember what you told it to do. So therefore it's

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<v Speaker 3>checking on that memory, and then it's growing as it's

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<v Speaker 3>consistently working with you. So these AI agents are things

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<v Speaker 3>that people are using inside texts inside telegram right, and

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<v Speaker 3>they're running their businesses on it after they get it

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<v Speaker 3>set up. The first system to set up is first

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<v Speaker 3>getting it to become context aware. So you want to

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<v Speaker 3>first start with the context of sending all your data

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<v Speaker 3>in and once it have that data, then you can

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<v Speaker 3>start utilizing it in a way where you're telling it

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<v Speaker 3>what to do, and then you can start building skills

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<v Speaker 3>upon it, and then it gets to a point where

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<v Speaker 3>you can start being autonomous with it. One of my

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<v Speaker 3>greatest use cases so far was me creating a CRM

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<v Speaker 3>from all of my customer data over the last ten

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<v Speaker 3>plus years. Right, So now I was able to find

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<v Speaker 3>two hundred and forty six thousand customers to where I

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<v Speaker 3>now get to see who are my top one hundred.

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<v Speaker 3>I'm seeing people who'd involve fifty to one hundred products.

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<v Speaker 3>I didn't see people who'd inbolt something from every single

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<v Speaker 3>thing that I've bought then showed up in person because

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<v Speaker 3>I was able to take all of that data then

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<v Speaker 3>rearranging into this system to where I now know who

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<v Speaker 3>exactly this person is when they bought right, et cetera,

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<v Speaker 3>and now I can retarget them or just call them

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<v Speaker 3>directly I'm literally about to call my top.

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<v Speaker 2>One hundred customers.

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<v Speaker 3>You feel me because we built out a system now

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<v Speaker 3>where my AI agents can show me who those people

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<v Speaker 3>are when they buy it, can send me a pin.

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<v Speaker 3>You can tell me when their birthday is. I can

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<v Speaker 3>have an AI agent send them a birthday card if

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<v Speaker 3>I want to, or send them a gift card.

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<v Speaker 2>You.

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<v Speaker 3>Essentially, it's like having personnel working on your behalf that

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<v Speaker 3>you're giving specific tasks to do certain things. And the

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<v Speaker 3>agentic AI economy is about to boom, right. This is

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<v Speaker 3>where the big opportunities are looming. And a lot of

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<v Speaker 3>people are afraid because they're looking at the fact that

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<v Speaker 3>AI agents are essentially autonomous systems. So anything that has

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<v Speaker 3>a system can be automated. That's the whole idea. It's

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<v Speaker 3>not that it's replacing jobs or humans. Rather it's replacing systems,

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<v Speaker 3>and what people end up doing they end up working

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<v Speaker 3>in at You're becoming called in the machine and so

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<v Speaker 3>now they're looking at saying that, oh, we.

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<v Speaker 2>Only need machines to do these jobs.

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<v Speaker 3>So people that were doing machine like jobs are getting

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<v Speaker 3>replaced rapidly and faster and faster.