Introduction

All work is going to change. Everything is going to change.

And so if you understand the trajectory is less intimidating because you understand the scope, right?

Understanding Automation and AI

So one thing I want to talk about is what is automation? What is AI? What is it?

If you understand just the value of intelligence in general, it gives you a wider scope to be able to apply AI to.

The Paradigm Shift

So I think it's important to understand that we are literally dealing with a paradigm shift.

When I first started studying AI, all I did was watch YouTube. And it was easier to do then, because they were only talking about one thing, right? Which was basically, you know, tools, right?

Then I got, and I started following the actual industry, the journals, the newsletters, then the business, all of that back-end stuff, the people who are really making the decisions, and you start seeing that there's trillions of dollars moving. Startup companies are getting like $500 million just for like a startup company based on a concept, right?

So then you start following the politics and you realize, oh, these bills that are coming out and all of these things that are happening, this is our cultural shift. It's not just, oh, I got a tool and I'm going to be more efficient at work. It's that, but it's a bigger picture than that.

Monetizing Expertise with AI

The advantage of having access to computational intelligence that you can monetize your expertise.

That's like what it came down to me as I realized, oh wait, you can monetize your expertise. We have access now to a global market.

You can translate your skill into any language. You can market to anywhere on the planet. Right?

So the scope, it's a really big scope. And that's like what I'm so enthusiastic about it.

Personal Journey and Collaborations

Because I did it.

I went from like watching YouTube, coming up with these ideas, to Kevin Flanagan. Kevin Flanagan has a farm. It's called Good Mana.

Kevin got a scholarship to go all around the world collecting tumor samples. He went from country to country collecting tumeric samples to find the best tumeric, right?

I was in school with Kevin. I studied, I did like consciousness studies at that time. He was doing sustainable agriculture.

So he knows, like, everything you probably can know about soil. So when we met back up, he had got his company going, and he was telling me what he was doing. So at that point, I was like, eh, you need operations management, because he has, like, this huge farm.

He built his own machines, everything. He's like that dude. So... We were working on his operations, automating his operations, getting his databases refined so that he could easily access and get his website integrated with his, his Shopify integrated with his database and all of that stuff, right?

So while I was working with him, the FDA called him and said, we'll be there tomorrow. No warning, no preparation, no what to do. We figured it out in 24 hours. In 24 hours, the lady said she had never seen a farm.

The FDA lady told him she had never seen a farm that organized ever. She didn't even have any recommendations. The FDA. Right?

Case Studies Highlighting AI Impact

Okay, that was my first case study, like, okay, I got the juice. Right? This ain't just me and my head, I got the juice.

Next client, Mayotte.

Mayotte, she's VP at Urban One, largest black entertainment, like, what is it called? Advertisement, right, largest black advertising company.

She's a hard sell. If you get a black woman to spend their money, you're doing it, right? She's a hard sell.

So I say, okay, my, your competence, like you got to get your competence up, right? Coached her. Personal development is my original black background. So I help people get past whatever the resistance, initial resistance is.

Mindset is what they're calling it. We had to work a while just to get her to that.

When we got through her competency, she went back to work. She goes into VP meeting.

I said, okay, Ma, when you get in there, they're gonna be talking about prompting. Okay, that's cool, but not really if you're in an organization and you're only talking about prompting in 2025, right? So she has the conversation. She starts sharing her perspective on the subject.

So at the end, everybody comes up to her and say, are you the professional? Like, are you doing this? And she's like, oh, well, yeah, sort of, right?

So check two. That was the competency level. Now she's like super efficient.

Test subject three. I'm just showing you different industries that this can cross over into with just a little bit of focus.

Okay, Cleo Austin, she's a doctor of acupuncture. We went to school together. She was very labor intensive, right?

Needles, it's a lot of labor. What I did with her after she got past the mental part of it is that we got her to intellectual property. We got her a proprietary system of holistic wellness.

Then we did the research to determine who her market was, right? Now, then we took that content and did her consistency across her brand in terms of the marketing strategy and all of that.

All of this is just me. I did all of this, just one person. So check, right?

So those are kind of like the three case studies.

Lessons Learned and Future Projections

I feel like with AI, don't jump so quick to the tools. Go back and understand the context. Research the projection of how AI is going to affect your industry over the next five years.

Because when I started, they gave the blueprint, and it's unfolding as I look at it. Every time in the morning when I wake up and I look at a newsletter, I was like, oh, yep, I remember when they said it was going to be this.

The first year was LLM's. your learning models. Now, this year is the year of the agent. Next year is the year of the implementation.

Right? So right now it still feels like it's an option. Next year is going to be the year of you're going to lose your strategic advantage if you don't understand apps, automation, and agents. Right? So that is what I want to talk about.

The Power of Apps, Automation, and Agents

apps, automation, and agents.

Okay, another thing. I'm a little bit spontaneous.

Another thing, get out of the consumer mind. That's another thing. Don't look at AI as a product.

That's a limitation. That's like using an iPhone for a beeper, right? You gotta get out of that, right? You have an iPhone 16, not a beeper. I remember beepers, right?

AI is not a beeper. It's an iPhone 18, matter of fact. That takes a mindset shift.

The capacity is probably way bigger than what you're allowing yourself for, right? Because too quick to narrow in on your workflow, right?

apps to agents.

The reason I said get out of the consumer mind, because you're going to see a million apps, you're going to see a million agents, you're going to see a million integration tools. Where's your app? Where's your integration tool?

Your expertise right now, whatever it is, can be monetized. You might take it for granted, something that you know. In another country, That's a value resource. That's a valuable resource, especially if it's coming from America. All you have to do is apply this to your expertise, market it to somewhere where that is not a resource.

Information. We went from industrial to information. Now we're going into intelligence. Intelligence is the new resource. Right?

1Apps, automations, and agents are how you monetize your expertise. Okay. That was the first thing I needed to get off my chest. Okay.

Understanding Apps

Apps. So, everybody know what an app is. Right? It's a basic function. Right? So... Navigate down here.

OK, an app is a tool. It's fixed. You can do usually one thing with an app. So what's one thing in your workforce that you feel like you are, that you have a level of expertise at? Somebody tell me.

Sales. So you need a sales app. You need a sales app, right? You need a sales app that you can market to, I don't know, some country in Africa. You can translate the language, right?

Side note, the bill that was just passed, where now digital commerce is about to become a thing, right? Because they're lining it up, right? So where Bitcoin used to be this fringe thing that, oh, I'm going to get into Bitcoin, now it's about to be mainstream. Right?

You can tokenize your asset and then create your app, which is your expertise, and sell it somewhere. The simplicity of it is mind-blowing. That's the part that gets us confused, because we're used to equating value with labor or intense effort. We got to get out of the mindset that's like a scarcity mindset, which is pretty much what capitalism is based on, side note, right? So we got to get out of the scarcity mindset.

It's not about more effort. It's about more intelligent organization and being able to take your skill set and get it direct on market where you used to have to have all of these different operations all of these different gates to get into a market. Now, you don't necessarily have to have that. We ain't got to the point yet where you can just totally be by yourself, but so much of it, if you just take a chunk of time out and understand, you can.

So apps, a single function. So just ask yourself, what's my function? What's my single thing that I can look at that has value? and I can start to understand who to market it to. And this is before the digital commerce come in and before Web3 comes in. All of this stuff is lined up, okay?

The Role of Automations

Automations. Automations are a little more dynamic, right? So automations is a system. It integrates. If you don't know Zapier, start checking out Zapier.

That's the, as far as the tool that's already developed, you could have a whole career just integrating with Zapier. It's a whole, you could just have a career just doing that. Connecting one thing to the next. Because when you get, when YouTube or whoever sends you automation that's already made, they probably just using Zapier. and you're looking at it from a consumer perspective, so you're saying, oh yeah, I want that. Well really, you could have created that yourself.

Just look at your job and look at the repetitive tasks that you are like, oh Lord, I'm tired of doing this over and over. Onboarding. Who likes onboarding? Your SOPs. Your SOPs can literally be your automation. Right?

So, apps, One function. Automations, multiple functions that run consistently, right? Without much oversight for the person.

I would say, when you're at work, think about just three things that, that's repetitive, that you know everybody else wish they didn't have to keep doing over and over and over again. All right, then take Eric's advice and go to Gemini. I use all three. I jump from Gemini to Anthropic to Chat, because they're each, now everybody's like have all of these, they're diversified. Originally, everybody had their specialty. But still, each one of them, like if you're coding, which you should be learning something about coding, because it's so easy now, if you're doing that, Anthropic and Gemini is more of the thing.

On the side of creative, ChatGPT is probably initially a better place to start. But get familiar with all of them. Don't get bottlenecked. Get familiar with Who does what? You can even ask it. It'll even tell you, well, I'm better at this. And I'm better at that. Right?

Look at it like an ecosystem. So you'll know when you need to do something who to go to. It's like a $60 investment to pay for all three of them. It's just worth it. Like, don't eat out for a month. I don't know. But it's just worth it. Right? Okay.

So, automations.

Emergence of Agents

Agents. Now we get to where we are now.

Now, what was interesting for me is the word agent means agency. That's will. Right? Agency is autonomy.

And that's what agents are. They're autonomous automations. That means you give it instructions, and I'm gonna give you a perfect case study.

I'm partnering with this company, Digital Scope Media, right? And we're doing like marketing research. And so the old way to do it is to like go through all of it, right?

Oh Lord, comparative analysis and dah, dah, dah. Chat GPT agent. I said, no, no, no, we ain't gonna do none of that.

We gonna let it do the brain work. So the request was do a comparative analysis. The comparison, when you, let me back up.

I gotta give you some back end. Your system, you gotta come up with a system. Everybody need their own GPT.

I gotta go back. Your GPT is how you codify your expertise. Just like Chad, GPT has, like Eric was saying, it's a broad spectrum of information.

No, no, no, no. You want your customized GPT. That's where you wanna start at.

I'm gonna give you a hack. I said I wasn't, maybe not gonna go here, but I'm gonna just give it to you, right? I'm gonna just give you this hack. on how you codify your expertise, and this is the seed.

Anything you wanna know, first, go to ChatGPT, whatever your specialty is. Ask ChatGPT to give you, let's say, the top YouTube channel on that, all right? You go to the YouTube channel.

You screen record the YouTube channel. Right? You can have up to, I think, 20 of them now. So you can build it out, you can scale it.

You take that screen recorder, you're going to have to get Otter for this, Otter needs to give me some money, right? You upload it into Otter and get the transcript. Now you have the transcript of the YouTube channel.

You take the transcript, You put it into ChatGPT and tell ChatGPT to format it as instructions. It's going to turn it into instructions.

That's expertise. You take that, you save it as a PDF, you upload it into your GPT. Now that's the mindset of the GPT.

That's how you create your specialized chat bot. Whoa, no, the initial step, actually it's the step before that. Now that I'm thinking about it, now it's like backtracking.

The initial step is to ask chat GPT who has the top rating YouTube channel for this particular subject. That's how you determine the quality.

That's how you determine the quality. Once you get the quality, you screen record it. Now, if anybody have any ethical concerns, Anthropic just won.

Anthropic was sued for training copyrighted literature, they won. So legally, it's not an ethical issue.

So the rest of it you can work out in your own head, right? So back to what I was saying. You take, so you screen record, after you screen record, you upload it into Otter, the paid version, right?

I was going to give you the transcript. You copy and paste the transcript into whatever you're using, right? But you got to make a PDF out of it, right?

So that's Word, like whatever the doc you want to use. Then you upload that into your GPT. Now, if you have ChatGP, this is another thing.

If you're subscribing to ChatGPT and only use, if your subscription is to OpenAI, not to ChatGPT, there's a whole back end of functions that's 80% of it you're not even using. Because you're looking at it as a consumer. And you think, oh okay, this is what I'm doing. It's a whole back end of resources that you're not even using.

Which is make your own GPT. Make a project. So the hierarchy is you start off with a project.

This is all in OpenAI. The project is going to be like where everything gets iterated. Right? You iterate in the project.

It remembers. After you iterate so much, it's going to start then self-referring. Back then, it's going to prompt you based on how you've been engaging with it, because it's a learning model. Right?

So you start with your project to iterate. From your project, then you build your GPT. You can live on YouTube how to build a GPT.

It's not complicated. Don't get intimidated by the jargon, right? You build your GPT.

Your GPT is your expert. As you get more familiar with your GPT and you engage it, remember, it's like a child. If you engage it with Gaga Google, it's going to give you Gaga Google.

If you engage it with Ivy League questions, it's going to give you Ivy League intelligence. Why you're engaging it is how you're training it. That's why the prompting is so important.

Creating a Customized GPT

Matter of fact, I'm going to give everybody a homework assignment. The more I talk, the more I'm remembering. What you need to start off with

is a prompt GPT. You don't create a prompt GPT. I wish I could just send everybody the... Oh, thanks.

I wish I could just send everybody the PDF. Another source for the PDF is Scribe. Anybody know about Scribe?

Right. Scribe is just a whole PDF. you can, medical, any subject that you want, you want the textbook, get the textbook off of Scribe, the PDF, upload it into the GPT, and now you're literally having a conversation with whatever the subject is.

Am I making sense? Do you understand now intelligence, the value of it? That's like the point I'm trying to make.

So, your GPT, that's what you want, your prompt GPT, Every time I want to prompt something, when I want to prompt something, what I do is I do my little prompt, then I put it in my prompt optimizer. Then my prompt optimizer is going to take it to the roof.

So then when I take that prompt and put it into deep research, it's going to be structured, it's going to be like the report. I'm done. I'm going to read it.

It even cuts down the hallucinations. Because the hallucinations is mostly based on a prompt that's not in alignment with the capacity of the automation. So that's where hallucinations come from.

If your prompt is solid, you don't have to so much worry about hallucination, right? Yeah, it goes up in a tangent or it gives you some convincing answer that's not right. It gets the confidence right, but not the facts.

Right, that's the hallucination. But with the update, it's less hallucination. When you create your own chat bot, you really, really, really, really, really reduce the hallucination.

Because everything is going to be customized, right? So that's why I'm saying start with a GPT prompt optimizer chat bot. That's an easy project.

that you can do, and you'll learn how to optimize your prompts. Like what Eric was showing you about how to do a prompt, it'll just do it. It's even better than asking ChatGPT itself to do a prompt.

What happens with me is that because on Instagram, that's all I'm looking at is AI stuff, they send me free PDFs. Oh, sign up to our thing, our webinar, and get the PDF. No, I just want the PDF.

I don't need the webinar. I take the PDF, I save them, then I make a chat bot out of the PDFs. That becomes the expert.

Then you can even have it teach you creative vocabulary if you want to learn a new subject. It just goes on and on and on. Okay.

From the GPT, then comes the agent.

So that's how you want to scale it out. 1The project, the GPT, the agent. Even in your learning capacity, you want to scale it out that way so you really understand the functionality of it.

Because with intelligence, the functionality is always in the back end. So if you start with the basics and work your way up, you'll understand the back end. That's what will give you autonomy.

Because that's where the good part is, where you're able to self-replicate and generate your own expertise, your own products like that. It takes a little longer, but it ends up being exponentially more value.

Okay, so right now, there's so much talk about agents. Most of it is marketing, blah, blah, blah, right? Agent is the new buzzword.

By next summer this time, it's going to be something else. Most of what they're calling an agent isn't an agent. Most of what they're calling an agent is automation that's very dynamic.

Right? Agents have specific function. An agent is adaptive. It makes decisions, chooses the tools, and iterates toward the goal. That's the difference.

So the agent is what they say is going to replace your job. basically, once they get the kinks out of that, which everything they release, everything they release to the market in AI is beta, even if it's all beta. They're collecting the data and perfecting it somewhere else, right? So this is the time to understand what agents are. Because if your employment is any knowledge-based service value, it's going to affect you.

A friend of mine, Shannon Cook, she met this lady at Georgia Tech, professor. The professor told her, oh, I don't even know if I'm going to be able to do this because I'm at stake too.

Everything is kind of at stake. How they was explaining is that the floor might, the bottom might fall out, but the ceiling is going to open up. So if you got your back rope, when the ceiling fall off, you good, right?

And it's not that difficult. It's really not. That's the beauty of it. It's really not that complicated. It's just take some time and some patience with yourself.

Right?

So the agent. Think about the matrix and the agent. Remember the agent? And that's the first thing I thought when they said agent. Oh, like the matrix?

Leveraging Technology for Efficiency

Like, okay, we there. Okay, so I do want to answer a question. Okay, so let's talk about just some example of apps.

Everybody use Canvas, Canva. That's like an otter. Who's using Canvas? Right, Canvas is super popular. Who's using Otter?

Okay, get Otter. Otter, yeah. Otter is how you collect your information, your real life information, right?

Here go another hack. If you hook your Otter up to your Zoom, Right, you hook your otter up to your Zoom. After Zoom, after the call, you have the transcript of the Zoom.

You take the transcript, put it in your project that specialized in your expertise, and you ask it to format it as either a learning tool, However you want to format it, whatever value, however you need it to be. Bam. The next step you can go from there is there's another app, Gamma AI.

Who's up on Gamma AI? Okay. Gamma, you take that, put it into the Gamma Instant Presentation.

That's Gamma, right? I ain't have time to make it better, but this is good enough for my example, right? This is 20 minutes, you know how long it takes to do all of this? This is like usually a whole day's work. 20, 30 minutes.

And this is going to become the expectation. Right now, it's just an observation. Like, oh, okay, yeah, that's interesting, right?

But if anybody was around before the internet or before iPhone, iPhone used to be a luxury. Only people had iPhone. You saw somebody with an iPhone, they was like, dang, he had an iPhone, not even a Blackberry? Right? He got it going on.

Not everybody got iPhone 16. You don't even know how to live without it. It's an expectation now that you need to have an iPhone to be taken seriously. Right? AI is going to become like that in terms of your efficiency.

Ain't nobody going to be waiting around 24 hours for no presentation and the analysis and all of that. They're going to move to the next person. Right?

So those are three. Otter. What else did I say? Gamma. And most people up on Canvas. So those are three good apps.

But Canva. Canvas is inside of ChatGPT. That's a different thing.

So when you're using the app, also think about, how can I create an app? Don't just use it as the consumer. Use it as the beta test.

Think of yourself. It's AI empowering you to be a producer, not just a consumer. That's the real leverage, because that's what's going on when you look at the industry. That's what's really going on. Okay.

Notable Tools and Resources

Let me go... Automations. We talked about Zapier. Zapier is a really good automation. It's got so many... Dude, you can literally have a whole career just off that.

It basically connects one function to the next. So an example, what's an easy example? Well, ChatGPT. Zapier connects ChatGPT to Notion or to anything. you want to connect it to, your email, whatever you want to give it access to.

But you've got to look at Zapier because there's a whole world. But that's a really good resource right there to look into. Anybody here use Zapier?

OK. What about Notion? Notion's your best friend? OK. Do you have it integrated into anything else? Uh-huh. Your what? Oh, okay, so that's the integration, right?

Agents right now are largely about coding, right? Right now, it's like a deregulation, they deregulated coding. Just like I remember when it was cable, and now it's like streaming, and now I can stream right here, we can watch TV or movie like right here, right now. So think about it like that.

Coding is being decentralized. Coding initially sounds like a very intimidating endeavor. AI is making it not so intimidating. Right? Investigate. Investigate that.

Don't consider yourself on the outside looking in. That's the whole point of the AI. If you have a brain, you can create, code, monetize, market. Be a producer. That's what we want to leverage, especially if you're African American, because resources, we get creative, right? So this is an opportunity to put that creativity and get some leverage.

Okay. Hmm? Okay.

Choosing the Right Approach

All right, and here we are at the end, choosing the right approach.

Okay, so these are like things to take into consideration when you're choosing your approach. Task complexity. Start off simple, that's why I say it. Start off with a GPT.

Require flexibility. How much you're gonna have to learn in order to do it. Not as much as you think, not nowhere near as much as you think.

Budget. You can start with $20. $60, you can get in the game.

Risk for autonomy. How often are you with making AI decisions? That's a mindset. You have to be patient with yourself. That's your biggest obstacle with AI. It's mirroring you.

Give yourself the opportunity to learn something.

Conclusion

It don't matter what field you're in, what age you are, take some adaptogens. If you feel like your brain power is not what it used to be, get yourself some adaptogens, some ashwagandha. Give yourself some brain food and sit down there and get to it.

Okay, that's it.

Thank you.