Intro to AI Tools and Business Automation

00:00 Cool. So, the aim of today is to go through how you can use AI for your business. Uh, it's kind of theoretical, practical as well, going through not every single tool, the tools that I would use if I were you to automate your business. Again, there's a lot of tools out there. There's Hermas, there's Claw, there's Chad GBT, there's Codeex, there's Grogbot, there's everything, right? But the thing that matters is kind of what I'm going to walk you through. Uh, and you can decide whether that's for you or not. But a lot of

00:21 practical use cases. Now, if you don't know who I am, which if you're here, you probably do. Uh, my name is Mikuel. We do AI education for companies for people want to start AI businesses and we've taught over 5,000 people on live sessions just like these but they were online so not in person right and or also worked with over 50 businesses from small companies to consulting uh billion dollar companies to implement AI so in

00:43 the process I've got to see how it's like to implement AI um in smaller companies bigger companies and what tools and things they use obviously over time tools changed the way that they use AI changed but the foundations of it is always going to be the same Okay. Now, before today, I asked you guys seven questions to fill out in a form. Some of you guys did, some of you guys didn't. Um, but we'll go through them. So, I

01:05 asked you guys, how often do you use AI in a week? You mentioned 100%. I said often a few times a week. I also asked you guys, what do you use AI for? Which is interesting because most of you guys said research and thinking and then writing in content and Iran's actual work in my business about me. My hypothesis is that most of you guys are using it for research and normal tasks because you don't know how to use it for things that are not that right. And then

01:28 I also asked you guys what tools you use. Most of you guys use cloudbt and gemini which are the main kind of frontier models. Codex and zapier are kind of the the minority here right and then I also asked how much does your business spend on AI tools per month. Most of you guys said 50 or 200 to a,000 which tells me that you already are kind of using AI tools here and there on your business. Um and then we have over a thousand and we have $50 to $200. And I

01:52 also asked um how many hours a week does a team spend on repetitive work that does not human uh does not need human decision. So this is stuff that's just repetitive that you can automate. Under five hours and 5 to 15 hours is a split and then 15 to 40 hours is the outlier which is interesting because that stuff can definitely be automated in your business. Are your core processes written down anywhere? So we did a session with Khaled and one thing that stood out to me was that he had

02:15 everything mapped out. So his whole scripting process, ideation, onboard operations, everything was mapped out. So he had everything that you can see, he systemized it. That's good because then we can automate it. Okay. And most of you guessed some of it. So I'm assuming some of it is systemized, some of it isn't. And then lastly, what's stopping you? So why are you not using AI? Some of you guessed it's overhyped. Who said it's overhyped? There you go. All right.

02:38 >> Aim of today is to change that belief. Uh I don't trust the output and I don't know where to start, which is obviously normal. and I tried it and it broke and no time to set it up. Okay, so this tells me that most of you guys are using AI to some extent. Um there's a lot of [ __ ] out there, so it's hard to filter what what actually is important versus what isn't. And uh that's it. So the main premise of AI specifically, it

03:03 is that it can build a system and it can operate the system at the same time. Meaning that the opportunity for entrepreneurs is not so much learning AI specifically, but it's learning how to delegate processes to AI. meaning that you don't have to know the technical skills. Back in three years ago when I started, I needed to know APIs, how they worked, nit, make.com, like different integrations and stuff. Now, you really don't need it because of tools like claw

03:25 code and all that jazz, right? So, which means that your ability as a founder to implement AI is not directly dependent on you knowing the technical skills, but is you knowing how to prompt AI specifically. Okay, so when I was doing the presentation, I thought it might be important to go through some dictionaries in terms of words because some of you might not have any idea what this means. We have LLM. So LLM when I say LLM means the brain. It's a program that reads most of the internet. So it

03:47 can read and write like a person. A model cha all that stuff is a brain that you pick sort of like a car model. We have TajT which is Lamborghini. Then we have Claude which is a Ferrari. So they all have different uh different models in different kinds of cars. We have agent. So an agent is something that can take action. It doesn't just talk. It does the thing. API is the way that software talk to software. So if I say this

04:09 software has an API, it means that this software is able to speak to softwares. That's how automation works. Then we have MCP which is a universal plug that connects AI to all your apps. So include specifically we're going to talk about connectors which means that clot has access to all your tools. It does that through MCP. Okay, model concept protocol. And then GBT is a family of models inside of OpenAI. That's we call them GBTs. So GBT 5.1, GBT 6.2, GBT

04:34 10.5. When I started it was GBT3. Now it's GPT6 Astra and there's going to be much more models coming through. Okay, so claude and claw code is all you need. That's the reality of of AI, right? We spoke about cloud specifically. There used to be claude, claude co-work and claude code, but cla coowork does not exist anymore. It's just claude. So cloud and claw work is one thing and