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Leveraging AI Podcast Episode Notes
Episode Details
- Podcast Title: Leveraging AI
- Episode Title: 250 | The No-Code Way to Use Claude Code For Creating AI Agents for Business with Tim Cakir
- Host: Isar Meitis
- Guest: Tim Cakir
- Description: In this episode, Tim Cakir shares how to leverage Claude Code - a tool for creating AI agents that automate business workflows without requiring coding skills. The discussion emphasizes practical applications, benefits, and how business professionals can integrate AI agents into their operations.
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Key Concepts Discussed
Introduction to AI Agents
- Current State of AI Adoption: While many discuss AI agents, few actively build and use them effectively in their businesses.
- Guest's Experience: Tim has built over 100 AI agents for his operations, gaining insights into effective and ineffective implementations.
What is Claude Code?
- Overview: Claude Code is a command-line interface that allows users to interact with cloud models without needing to code.
- Misconceptions: The term "code" in Claude Code can deter non-coders, but it can be utilized without technical skills.
- Accessibility: Recent changes allow users to run Claude Code directly in their web browsers, enhancing its accessibility.
Benefits of Using Claude Code
- Automation of Business Workflows: Tim demonstrates how Claude Code can streamline processes like content creation, training, and sales preparation.
- User Control: Users have significant control over what Claude Code can and cannot do, thus alleviating fears about security and misuse.
Creating AI Agents
- Structure of AI Agents: Tim explains how to structure agents with clear roles, descriptions, and protocols for interaction.
- Orchestration: The orchestrator agent manages the workflow of multiple agents, ensuring that tasks are completed in the proper order.
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Step-by-Step Breakdown of Building Agents
- Designing the Agent
- Job Descriptions: Clearly define what each agent does to set expectations for their performance.
- Task Flow: Establish how agents will interact, ensuring they communicate effectively through an orchestrator.
- Implementing Context Files
- Efficiency: Instead of transferring large amounts of data, agents reference context files that contain only relevant information for their tasks.
- Memory Systems: Implement memory systems that allow agents to learn from past interactions and improve over time.
- Building the Ecosystem
- Integration: Create multiple agents that specialize in different tasks, all feeding back into a central orchestration system.
- User Interface: While running in a terminal may seem daunting, it offers powerful capabilities for managing workflows.
- Continuous Improvement
- Feedback Loops: Incorporate feedback mechanisms so agents can adjust their processes based on user input and previous outcomes.
- Versioning: Regularly refine agent capabilities to enhance performance and responsiveness.
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Key Takeaways
- Simplification: AI integration does not have to be complicated; a clear structure and defined roles can streamline the process.
- No-Code Revolution: Tools like Claude Code make AI accessible to non-coders, enabling a broader audience to leverage AI in business.
- Proactive Use: The future of AI in business is leaning towards proactive systems that can anticipate needs and act autonomously.
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Resources Mentioned
- Claude Code Installation: Users can find installation instructions online to get started.
- Tim Cakir's LinkedIn: [Tim Cakir on LinkedIn](https://www.linkedin.com/in/timcakir/)
- YouTube Channel: Tim shares regular content and training on AI topics.
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Conclusion This episode of Leveraging AI showcases the potential of no-code solutions in leveraging AI for business transformation. With practical examples and insights from Tim Cakir, listeners are encouraged to explore AI tools that can enhance efficiency without requiring extensive technical knowledge.
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Feel free to reach out if you have any more questions or need further insights into leveraging AI!
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Hello and welcome to another live episode of the Leveraging AI podcast, the podcast that shares practical ethical ways to leverage AI to improve efficiency, grow your business, and advance your career. This is Isar Maitis, your host, and we have an incredible episode for you today. Now, everybody, literally everybody, is talking about building agents and how they're going to change the world and so on, but the reality is very few people actually build agents, and even fewer people build agents that actually do something meaningful in their businesses day in and day out. Our guest today, Tim Kekir, has built over 100 agents that work in his company regularly and do different functions in his business.
0:43And through this process, he became so familiar with what's good and not good that he even fired more than 50 of the agents that he initially created. So he's been evolving this for a while. Now, to make this episode even more interesting, we are going to talk not only about how to build the agents and show exactly how to do this, But we're also going to look at it with a very interesting platform, which is Cloud Code. Now, from an adoption perspective, everybody knows ChatChapiti. Some people know Gemini because they get it through their Google membership. But a lot less people are actually using Cloud, which I personally really, really like.
1:18And out of that small people that use Cloud, a much smaller percentage uses Cloud Code. And the vast majority of people who use Cloud Code are coders. But the reality is there are huge benefits that you can gain by using cloud code, not coding. And this is not exactly what we're going to look at today, is how to use cloud code, not coding, because I don't know how to code and I'm still gaining a lot of benefits from it. Now, the reason most people don't do it yet is because either they don't know that it exists or it has code in the name and people assume that's the only thing it is good for, which is not the case.
1:54And this is one of the reasons I'm really excited about this episode, because you're going to learn a new tool that most of you probably do not know. And you're going to learn how powerful it is and what can you do with it without writing code. Now, the other reason a lot of people are not using Cloud Code is because until not too long ago, you had to go through a weird install, which we're going to show you how to do in order to get it to actually up and running. But the reality is as of about a month ago, and Tim, correct me if I'm wrong afterwards, you can now run Cloud Code on the web, which means you don't have to install anything.
2:23There's still benefits of installing it. but you don't even have to do that anymore. So in today's episode, we're going to explain to you the benefits of running CloudCode and how to use it to create incredible agents that actually do functions in your business and provide value. Now, our amazing guest, Tim, brings a really huge variety of experiences that makes it highly relevant for our episode today. He held top leadership positions, including CEO and COO in many different companies, which means he understands how a business actually runs and what it takes to run an effective business. But he was also a professor in two separate universities, which means he's really good and passionate about teaching.
3:07And he is currently the chief AI officer and the founder of AI Operator, which is a company that helps businesses implement AI in an effective way. So this combination makes him literally the perfect person to teach us about cloud code and how to create agents not being a technical person. So you don't need any coding or technical skills to do this. And that makes me very, very excited. So, Tim, welcome to Leveraging AI.
3:35In the next few years, AI technology will change our world dramatically. Whether you are a business executive trying to catapult your business forward, or just somebody who refuses to be left behind and want to advance your career, this is the show for you. I'm your host Isar Maitis, a serial entrepreneur and an AI enthusiast. You'll hear invaluable practical tips from innovative business leaders, AI practitioners, and some of the brightest AI minds in our world today on how you can leverage AI in ethical ways to advance your career and grow your business.
4:16Well, thank you so much for the kind introduction. It's an absolute pleasure to be here, Isar. Thanks. You know, you and I spoke several different times. I'm a big fan of your YouTube channel. We're probably going to talk about that in the end where people can find you. But you're really a magician when it comes to doing these kind of things. But let's really start at the more higher level. What the hell is Cloud Code? And why do people need to care about it? Yeah, I think that there is one issue about Cloud Code is that they called it Cloud Code. Yeah. It's better than GPT. at least it has a name that means something yeah yeah it's just the code i mean clode is great but is they call it clode code and then everybody like i tell them i'm like oh have you tried clode code and they're like i don't code i'm like well you're missing out or maybe it's good for me because i use it and not others do but no i like to share i want everybody to use it i want everybody to get the productivity gains and the efficiency and the incredible i guess you call it magic i call it just obsession about uh obsession about ai and what it can do um and so clode code was basically a way to interact with the cloud models in the CLI, in the command line interface, which is the terminal in a computer.
5:27And that's very scary, right? And because there is no UI, there's no user interface, or the user interface is just text. It's a dark screen. It looks scary, right? It looks absolutely terrifying. I even sometimes open up and I'm like, oh, shit, am I working here again? Like, I just work 90 % of my time now in the terminal, you know? And it's like, it's so funny. We've done such UI designs and so on, right? And now we're going back to using a terminal. So Cloud Code is really an incredible, it's got a product to tap into large language models that are bi-anthropic. So Cloud Opus 4.5 being the latest one.
6:05And why is it so powerful? Because it runs on your terminal, it can create files, folders, it can run scripts, and it can really control everything on your computer, right? including browser to the applications to the settings of your computer itself. And because of that, it takes a level higher in control and efficiency and being able to achieve things than a chat GPT, right? A chat GPT is great. You have to connect things. You click on connectors, cloud itself. You click on connectors. But with cloud code, it's in your computer. It's literally everything that you have in your computer that you can run.
6:40And in a nutshell, it looks scary. It sounds scary because of the code, if you don't code. But what I've realized with CloudCode is that it's right now the most powerful product for building systems, business operational running systems. And I'm still mind blown. You know, when I speak about it, I'm like, what the F is it? You know, it's just it's still incredible what we're living. And it's just, you know, the beginning of December. And CloudCode is just mind blowing. Absolutely. Amazing. So let's really show people, first of all, how it looks like. And then we can start diving into examples of how you are using it to create these systems and processes.
7:21And again, people, yes, I agree with everything Tim said. Like, what is the terminal? How do we even get to it? And it's really simple. Both on Mac and in PC, there's a button that takes you there and you can have the terminal. And as Tim said, it looks like we're back in 1985. It's like a DOS prompt environment. But it works and it is extremely powerful. And for those of you who are like, oh my God, I don't want it to mess with my computer. You do as long as it's controlled. And one of the amazing things in cloud models in general and specifically cloud 4.5 is that it's code adherence, which is a professional term to saying it does what you fucking tell it to do versus kind of does what you want it to do.
8:06It is very good at that. So it's only going to do what you tell it to do, and it is not going to do anything you do not tell it to do. So the fear of like, oh, my God, this thing can take over my computer. In theory, if you tell it to you and you define exactly what you want, it will. But if you tell it to do one, two and three, create this file, copy the information from here, bring it there, activate this thing and send this message, then that's the only thing it is going to do. Yeah. And I think that it has really good security settings. you can set to the settings so that you can decide on what it can do without asking you each time and it's also incredible at really asking you when it's necessary and when it doesn't have enough information is like hey i'm about to do this but i'm not sure like you know what do you think about this plan and you're like oh okay i like the plan go execute the plan or let's change the plan right the planning mode of it is just it's just mind-blowing in general i find claude to be the most collaborative model out of all of them that really makes you feel that it's a consultant and not just an execution arm of your dreams and that makes Claude like an amazing partner for anything this as well yeah I think that in you know if we talk about models very quickly before I show things you know I use Claude's 4.5 opus the most at the moment but if I'm doing a business strategic task like planning you know Q1 2026 for my business I I will still switch to GPT 5.1 Pro, which it's only on the Pro people.
9:34So not the plus, the 20 bucks, but the 200 bucks. And people tell me, oh, I have the Pro. I'm like, no, no, no, you don't have the Pro. How much do you pay? 20, you don't have the Pro. So GPT 5.1 Pro is just incredibly amazing at business, at business logic, business strategy, and so on. But everything else now, I'm definitely a Claude 4.5 Opus fan. And it's, you know, if you pay for Claude Max 20x, which is$200 a month. You don't hit the limits. And I run that on my Cloud Code. So just FYI for everybody, be careful. I'm going to show you things now. If you run it on the API, the cost can go up very quickly.
10:10So you do want to be on a subscription package on a Cloud Max plan, a 10x or a 20x plan. Okay, so let's dive right in. Let's see how this thing looks like, how to set it up, and how to create magic with it. Awesome. Let me share my screen. Can we see my screen here? Yes. Awesome. So this is why I said it's scary, isn't it? It's just a black box, right? So let's take a step back. How do you get this thing? How do you open Terminal on your computer? So for people who don't know what it is and... Absolutely. So I run a version of the terminal called iTerm2. It's an application that you can download.
10:44You can run the normal terminal. The normal terminal doesn't have some of the little gadgets. I mean, you know, now you see these as cool gadgets because you can see, you know, the GPU and what it's doing. But on the normal terminal, you don't see much. So it's a little bit cooler than just the terminal itself. There's also another option that I was into for a bit called Ghosty, with double T, Ghosty, which was also a terminal tool, which is really good. But you just go on your Spotlight, in your Search Spotlight, if you're on a Mac or in a Windows to your search, and you go right Terminal. And if you want a little bit of better experience, I would suggest iTerm2.
11:16It's a great little app. Cool. Yeah, I will say one more thing, not to confuse people, but I would say it anyway. if you're using any of the vibe coding tools, whether it is Replit or Lovable or whatever, there's a terminal version in there that you can run as well. And it has slightly better user interface than this thing, but overall it does the same stuff. So if you're starting with nothing, then just running the terminal in the computer could be your easiest starting point. Yeah, I mean, I think that's the difference there is I think we spoke about this when we first met, but I was saying that, yes, in the Replit terminal, you can run cloud code.
11:59Yeah. I think you tried it since then, too. Six minutes after we closed the call, I already had it running. Yeah, it's one of the best hacks people don't realize is that you can open up Replit and not pay too much for Replit tokens and only set up your environment and then run the terminal, cloud code in the terminal inside Replit, and then you can see the preview, which is great. But there we're really talking about coding and building a product in that folder and you want to be in that repository. But here, what I really love is that I'm on my computer. So the first thing that I did when Cloud Code came, and I was like, oh, what's this crazy stuff, right?
12:33I was like, okay. And it was a couple of sleepless nights as usual when anything new comes, it's a sleepless nights. You know, I love it. And the first thing was like, oh, okay, it can do files, folders in my computer. And it was years that I've been wanting to tidy up, you know, my desktop documents and all that kind of stuff. And I just said, hey, can you give me a strategy? and I was like great can you implement that and it changed names of files and images and videos and put them in folders and it just kind of started cleaning out my computer I was like oh crap this is this is very good you know I've been wanting to do that for 10 years or so and I never did it you know I just piled shit on top of shit and then it was it was putting all the pdfs somewhere naming them reading them telling me what they are and really creating different folders for me I was like wow this is this is really like we're starting to see real agentic agentic support assistant, whatever you want to call it, on my computer.
13:22So here's the terminal, right? Iterm2 running my terminal inside my terminal. And it's a black box. It's a black screen. Let me see if I can make this a tiny bit bigger for people maybe. So it's just a black box. And then you have to install Cloud Code on your computer. That's very easy. You can actually go on Chrome or in a browser and write Cloud Code installation. it's a very small snippet of some words and some kind of code that you just input here and you let it run and it installs it it asks you to log in, right? So I'm not going to do that because I've already done that. It's very easy.
13:57It's just a five minute process. And then what I'm going to do now is I'm just going to tease you a little bit and then I'm going to show you what I've built and then we'll go into how to build what I've built and this type of thing, if that's okay with you, Isar. That's awesome. Sounds like a great plan. So what I'm going to do is I'm just going to launch Claude by saying Claude. So I'm just going to say Claude and I'm going to enter. And as we can see right away, I get the question asked if I trust this folder, because Claude Cohen may read, write or execute files contained in this directory.
14:26This can pose security risks, so only use files, hooks and bash commands from trusted sources. Meaning prompt injection, as we know. If this was some files and folders that I didn't know, and then there was some kind of hacker trying to get my information, it could kind of do that. But it's my computer, I know it's clean. I've been working on my computer for really long. Even if I change computers, I cloud, so I know what's in my computer. So I'm going to accept yes, proceed. And then that's it. We get this little, I love it, this little thing. And here we go. This is closed. Cloud code is ready.
14:58And I have closed on Opus 4.5 with a closed max plan. As I was mentioning, you don't want to be on the API. You're going to pay a shit ton of money if you do that. And then I'm on my user. I'm in my whole computer. I'm not even in a folder. But what you could also do, which I'll show later, you can run it in a specific folder, right? So I do run it in very specific folders. Like I have a sales folder, I have an onboarding folder, I have a customs folder, and I run it in different places. And what's great about this is that I can open up multiple tabs and I can run four or five clothes at the same time.
15:30And it's like, oh, so I had an assistant and now I have multiple assistants and each can run multiple agents and each can have different skills, clothes skills. It just gets a bit meta. It's like I run orchestrators that run other ones and they run each other. And it's just because like, what? And I was reading about hyper productivity and it's scary because it's quite exhaustive. It's like, oh, my God, like I have to I have to babysit all these agents. And so so I think it's tough. It's not easy to get to the usage that I am. But I'll show some simple tricks for everybody to to start getting there, because this is the world that we're really living in.
16:02But in 2026, I do believe that this is going to be one of the most powerful things is to build systems that can run without you. right and you wake up in the morning this is my dream i wake up in the morning which i'm kind of doing a little bit of that but i want to wake up at 9 a.m not you know i want to be on my desk at 9 a.m i've dropped my kids to school i'm at 9 a.m uh in my desk i open it and i have i've done all of this stuff bless you i have all of this stuff i've done all of this stuff these are things i was a bit unsure you know i want to ask you some questions great what is what did it do i did all the follow-ups it sent the proposals it's you know it's it's created some uh contracts for some clients and so on and then it has some clarification questions like hey i wasn't sure about this you know like can you check that email can you check that document and you check it and then you say okay you know glad you didn't send this because here's some feedback right and then you give that feedback but then that feedback the next day i don't want it to ask similar feedback because it knows it so i wanted to learn and i wanted to be iterative learning right so that it keeps it keeps learning every time i give it feedback so i kind of build something like that i'll show in a second as well but this is the world we're going to live in guys and you know it's just going to wake up, throw out your whole sleep and you went to school, dropped the kids and stuff, you came back, you've had multiple agents, you know, 50, 100 agents actually doing work for you, right?
17:15This is definitely happening. I can show you in a second. You know, it's just that I still dream of a little bit more proactivity from these agents, right? I still have to run them, I can schedule them, but the more proactivity is coming, I know that, because we saw that with ChatGPT Pulse, right? On the pro plan, we have something called ChatGPT Pulse, which every morning it gives me, like, some incredible things about me, about my search history, about my day, about my calendar, and it kind of is proactive, right? So I think we're going to get this proactive. Right now it's very reactive. So I have Cloud.
17:45So Cloud's ready. It's scary because you don't know what to do. It's asking, like it's waiting for me. It's like, okay, well, I'm waiting for you. What are we going to do, right? So let's say what we're going to do is we're going to go and we're going to launch. Let's launch a guide about Cloud Code. How about that, right? So I'm going to write a 10-page guides about Cloud Code. And I want to write this. So what I'm going to do is actually I would kind of go to the folder where I have content and guides, but I'm not going to do that. And what I'm going to do, hopefully this is going to work. I'm going to talk to it because I talk a lot to these things now and I don't type.
18:17So I'm just going to talk to it quickly. Go to my guides folder inside my content folder in AR operator and run my guide system and let's write a guide about cloud code. How cloud code with Opus 4.5 and the cloud max plan and how cloud code people think is for coding, but it's not. You can run business operations and you can do a lot of things and so on. Do a proper research and make sure to run all the agents and to run the actual guide system workflow. So you still kind of have to babysit a little bit and you have to tell it like, make sure to run my workflow, right? Make sure to find the agents.
18:59Because if not, it still wants to please you and it's going to go and do it on its own thing. But I already have a system for this. So what I'm going to do now, I'm doing Shift-Tab. As you can see, something is changing on the bottom left. And Accepted It's On so that it accepts, like you automatically accept some stuff. I'm going to take it to plan mode. Because I don't want it to go and actually start doing things. I want it to plan first. It gets very powerful when we put things in plan mode. So this is going to take quite a while. And again, to switch to plan mode, you just... used uh yeah so just use a keyboard shortcut there's no again like anything fancy to do that you just switch the mode that it's going to operate in yeah shift tab shift tab and then you get to plan mode you see it's green on the bottom left it has like this this kind of pause button is it a pause button so it's more like hey i'm not going to take actions you know i'm just going to plan you know i'm not going to go change anything and what we can see you know we can open up this whole thinking with control o which gets really big um you know and it looks scary right this This is where exactly it starts looking scary because like, oh, okay, what is this?
20:01Actually, it's not that scary because this is just like, oh, it's finding folder, right? It's going to my documents and my documents has found my ARPreder folder, my company name folder. And then there it found the content folder and it opened that up and then it's looking at certain things, right? And so on, right? And as you can see, I just asked something, but it wrote its own prompt, find the ARPreder project on the system, look for a folder or a project called ARPreder or similar. Within it, find the content folder and a guide subfolder, look for any guide system and so on right so it kind of gave itself some tasks and it's like okay this is what i'm going to do and then it keeps thinking i'm going to close this because it can look a bit scary and let's go to the normal look right so that's like the detailed look of seeing what's inside this 360 lines this 376 like what is it doing inside these you just go control oh it gets even more scary than what it is so you close it you're like oh my god let me not see that but it's good i do recommend you know when you get comfortable i do recommend to read these things and you know if you want to understand what the model is doing behind the scenes and by the way it's the same thing in like all the regular tools like if you're in chachapiti or claude or gemini it says it says thinking i'm like okay what are you thinking about if you click on the thinking blinking thing it's going to show you exactly what it's doing and then the the benefit of that is you understand how the model works and how it thinks and that usually makes you a better prompter because you know the steps that it's going to do and you can guide it just like tim did now like oh go look for this folder go look for these agents why is he doing that because he looked previously and said, okay, it's kind of like struggling with that.
21:27If I tell it what to do, it will know what to do. So looking at this actually gives you a better understanding of how the models work, and then you can be a better prompter because you can know how to guide it. Yeah, absolutely. And it's not just about being a better prompter. It's about this thing that we see in the news, isn't it? It's like saying that humanity is getting dumber, right? They're getting dumber, and kids are getting dumber because they let Chachibiti do all the work, and they just get the output, and then they go with it. But the second you open the reasoning, the thinking, right the thinking i always say because it's the reasoning and you open that up and you start reading it and in every model that you're using if you can read that you get smarter yeah you get absolutely smarter i see things that these things are thinking or like reasoning i'm like whoa i didn't think about that or let me let me bring more information let me bring more context right it becomes really an a partner you know yeah and not just like god did this work for me and then yeah it's okay let me go no it's like well we work through things together and i'm learning and the next time I know how it's going to kind of think and how it's going to reason and I start understanding different models it's yeah it's very geeky but yeah I am obsessed about all this stuff so as you can see on the bottom what happened this is quite a new UI user interface kind of feature is you know it did one two three four things like project type audience use cases pricing for these like tabs and then I can submit and it's great it's asking me clarification questions now right So, okay, do I want a standalone deliverable, like top-level folder, like AI safety starter pack, which I've already built that before.
22:54So it's like, do you want a complete package for distribution or do you want to research the guide pipeline? Do you want just a quick guide about cloud code or do you want something for distribution? I potentially want a standalone deliverable. So I'm going to click that. So I entered that. So basically tick that. So you can also tick things if you want to see them. You can do a space bar, which I've already done. So no. But here, who is the primary target audience for this Cloud Code guide, right? Business operators, I think. Entrepreneurs, founders. Yeah, I think I would go. I'm going to go for entrepreneurs and founders, right?
23:24Because those are the people that I kind of talk to. So I'm going to go, yeah, entrepreneurs, founders. What specific business operations or use cases should be emphasized beyond coding, right? Here, I would potentially spend a bit more time, right, and tell it to the things. But I'm just going to do something quickly. I'm just going to tell it so that it kind of finds my systems. make sure to go read my systems i have a this guide system which is about content creation i have a sales system which is about you know running a crm and so on and how to sell in my company i have a onboarding system after i close the deal how do i onboard a client and then i have a training system how do i train people and create the training program the custom training program for our 12-week AI First Mindset training program.
24:10Review all of that. And then as a bonus, because I'm on a very important call right now, also, can you highlight the system building system? No, thanks. All right. So I kind of said that because I wanted to go and check these things, right? So for those of you who are not watching the screen and just listening, the way this looks like, again, think about the poorest user interface you can imagine. So DOS level. So there's just this level. there's different rows and you can pick from them by scrolling to them with a keyboard and selecting them or you can go to the bottom one which is just like a open line and type whatever you want to type what tim is doing is what i'm doing as well we're voice typing everything just because it's a lot faster it requires a decent level of talking skills but not much because these tools are pretty good at understanding what you want even if you didn't structure it as well as Tim, you get much better at this.
25:05The fact that Tim has a YouTube channel and I have a podcast makes it a lot easier to say what we want in the first time around in an organized way, but you will figure it out as well. And it's just significantly faster than typing. And to be fair, I find that I express myself a lot more with more details and color when I speak versus when I type. And so that's another benefit because then the AI gets more context. But now that you've done this, let's see what the system does. yeah i just want to add something to that is because i'm still kind of practicing the speaking to the machines instead of typing to the machines because guys like every you know guys and girls and everybody you know like get ready because we are going to speak to the machines more by voice you know the new open ai product hardware is going to come is definitely not going to have a screen right that we understood that so so it's not going to have a keyboard we're going to speak to these things and you're going to have a robot in your house you're going to speak to it like these things are going to happen.
25:57So I think it's a great time now to practice speaking to these people. So I'm still not very good at explaining what I want and sometimes I go, but it's okay because it understands and somehow it cleans it up, you know, and I think by practicing I'm getting better at it. Yeah. So I'm going to accept what I just said there. I'm going to go, okay, yeah, this is the good stuff. And then it said, pricing, should the guide focus specifically on CloudMax? No, all right. All tiers comparison, right? So we went all tiers comparison. I'm going to submit all this information. So I've submitted all this information.
26:27It asks, you know, what was the four clarification questions? We answered them. And now four or five, right? And it's now going to do the work, right? And you'll see the minutes it's spending and the tokens that it's spending, but I'm not paying per token. I have a subscription plan. And, you know, if you're listening and not watching, it kind of gives you its plan. So it's exploring the AeroPayter systems because I told it, go look at my systems, you know, about the guy, the sales, the onboarding, the training, my system building system, which is the brand new one I just done last weekend and I'm still working on it.
26:57And it was like, I was building so many systems, I decided to build a system that builds systems. Like I was like, you know what? It's kind of like the Claude scale that builds Claude scales, right? It's the same concept. Exactly. I took that approach. I was like, you know what? Why am I keep designing, you know, these systems? I should have a system that asks me questions and goes and designs a system from the first four or five systems I've already done, right? And I just finished that and, you know, I'm still working on it but I finished kind of the first draft and I'm like, oh, this is getting meta.
27:23Yeah, this is getting cool. I even tagged, I think, Antropic on one of my LinkedIn posts. They didn't come, but I was like, guys, you've got to see this. I'm taking it a bit next level now. So what it does, it gives you the tasks, and it has four tasks here. It's going to explore, then it's going to design the guide structure, then it's going to write final plan for a code code guide, and then it's going to execute the guide workflow with all agents, right? So even before going to my guide creation system, is going to do these three tasks, which is the explore, the design, and the write the final plan for the Cloud Code Guide, which is great because this is not AI slop.
27:58This is exactly what I do. These are my systems and this is my context. And so the guide is going to be about exactly what I do. And people are like, oh yeah, but you've got AI to do your guide. I'm like, yeah, well, AI looks at my context, asks me questions, and it's going to ask me more questions. And I build these systems for the last, I don't know, couple months or whatever, right? It's definitely very, very custom content to the context of Tim, the AI operator, and my systems. Let me pause you and ask you a question. You're sending it to all these resources, like your systems and your agents.
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28:26Can you talk a little bit more about what these are? Like what are these systems and what are the agents that it's actually using? Because that's a big part of this secret sauce, right? It's like the cloud itself is actually using these additional resources in order to do the thing that it's doing. Yeah, yeah. So I mean, this is a perfect timing. I just wanted to launch this because it's going to take a few minutes anyways. And I'll change my screen share. I think you can see my browser now, right? So I had Cloud Code open for you guys. You just go to cloud.com.pro.cloud code so you can find it.
28:56This is like the kind of code that you have to put it in the terminal to download it. And then you can learn a little bit about it. It might be scary, but here's the plans that I was mentioning and so on, which is cool. And now, before we get into those systems, now in Cloud itself, you actually do have here code. So if you click on Code Now here, it opens another tab, which is Code Code, but it runs on the cloud. It can run on the environment that you give. It actually can start now running inside your system and your GitHub repository, which is another tool where we put code in. So this is quite newish.
29:36So we know that what's happening is that they've realized that the usage of Code Code and now they're like, okay, well, let's offer it on a browser. Let's start offering different things. So there is going to be a product that is going to be better in UI and it's not going to be the terminal, so you're not going to have to be scared. But I believe that the biggest power still is in that terminal. So, you know, I'm still there. So because you asked that question, and I had prepared this, of course, Isar. So this is... I never doubted you, Tim. So I prepared this quick thing with Cloud. With Cloud Code, I said, hey, you know, can you build something that shows my systems?
30:12You know, and it's like, oh, yeah, of course. so I can build you a whole thing. And they'll build me a whole beautiful thing that I'm going to talk about. So, AROpera Systems Architecture Overview. So, all of this that you're going to see runs in my computer in folders. They have agents. They have skills. They have MCPs, Model Context Protocols. They have all these things, but it all runs in my computer. So, this is my new meta system, which I'm very proud of myself. I'm proud of myself, finally. I'm taking a whole December almost on just focusing on this. right so we've closed all our cohort uh q1 clients are ready i have a few more training to finish before christmas but i'm like focused i told my team my guys i'm focusing on systems you know because it's just like it's going to help me scale in 2026 you know so i build a system builder so this system builder is quite simple it's the meta system that builds the systems it has five core agents it has an orchestrator a questionnaire a matcher a generator a validator which we'll look into it as five simple agents.
31:11The orchestrator actually does the whole work. The questionnaire comes and asks questions to the human, which is me, to make sure that it doesn't kind of create its own thing, but it's from my brains and stuff like that. And then it matches things like I created blueprints from the existing systems that are like templates, blueprints, and it matches the new system that I need to a blueprint. And it says, oh, you already have this type of blueprint so that I go even faster. and then it generates the whole system and then it validates it. So these are five core agents that work on these. And then there is like these little factories, right?
31:44So I have an agent factory, I have a skill factory, a cloud skill factory, a folder factory that has to create the foldering system. I have a workflow factory that creates the whole workflow that has different agents so that it knows how to run. I have a script factory so that anything that needs to be code, right? So that it's deterministic and not non-deterministic. because as we know, large language models are non-deterministic and that's why you don't get 100 % each time the same input, the same output, sorry. And that's the problem that we're all facing with large language models, but you can fix that by running scripts and scripts that are already defined and are deterministic.
32:20And then I have one that creates all the readme files, which is like files that explains the things, right? And then a one, a factory for schemas, right? Building schemas of different things, MCPs, codes, and stuff like that. And then this is the blueprints that I was saying. They're called archetypes here, which is one is a pipeline, one is a journey, one is a production, one is a program. So the pipeline is my sales pipeline, so I made that a blueprint. The journey is the onboarding one. The production is the content one, the guide one. And the program is my training program. And for archetypes, I think it's quite good because, you know, most things are going to be like kind of a pipeline or kind of a journey kind of a production kind of program if something doesn't match i might create a fifth one you know but these are my blueprints at the moment and i have you know a three-phase process discovery is about 20 30 minutes and then so it's not this you know people think oh i'm going to build an agent it's going to be you know and if you do that you're going to get crap agents because you just build something that is very generic but i spend i spend hours on building these systems and the people are yeah yeah, but you spent so many hours.
33:29Yeah, but I spent 15 hours building that training system or maybe now about 30 hours that I've spent. And it's, you know, I've served about, you know, about, was it 250, $300 ,000 of clients with that system? You know, and it's like, it's okay, I'll spend the 30. Yeah, yeah, yeah. The ROI is very obvious. I have a couple of questions. Yeah. Just diving a layer deeper to get people to understand what it is. So we understand it has agents and it has factories. Yeah. Can you walk us through what is an agent and how you built it and what is a factory and how you built it? I think prototypes are pretty obvious.
34:05And I think the phases of production are pretty obvious. I think the things that people are scratching their heads and like, okay, but how did you create this organization or questionnaire or matching agents? And what did you create them with? How did you create them and where do they live now that you've created them? Yeah. Just before that, maybe I'll just finish off on the system. Yeah, sure. And then we'll dive deep because I absolutely want to show you that. But I want people to understand that, you know, in the front end, in a nutshell, in an overview, it's much simpler than, you know, than we might understand.
34:41Because I think it's quite simple at the end. You're going to see in a second, you're going to be like, oh, my God, you just made it sound so cool. And it's simple things. They are simple things. You know, it's processes, SOPs, and then job descriptions. You know, it's like I create processes and all these processes go into a system. and that system is like, who's going to run the system? Well, I need 10 people and those 10 people are agents and each agent has a job description. Yeah. It's that simple. You know, like, I mean, it sounds simple when I say it like that. So my sales system, same thing, you know, it's about sales and then, you know, you can see where things live.
35:15I'm going to show you the backend in a second, my onboarding system, you know, and then, you know, I know how to do these things and it knows it's a 14-day engagement journey, the onboarding. My training is a 12-week, it has three phases. It's all mapped out. The guide system that we're just running, it's five to 10 page guides, two to three case studies, five LinkedIn posts, three email templates. It's going to do all of this about that guide that we ask about Cloud Code. And this is only seven agents running this thing. It was about 36 agents yesterday. And I kind of optimized this and I fired 29 of them again, because I added a lot of new ones.
35:49I added these ones. I added these five core agents. And then I was like, you know what? All my systems are much simpler and efficient. and this was kind of conversational. It had 30, I don't know what age, and it was a bit too much. And I was getting 40-page guides, which were very good, but maybe it was overkill, you know? So I was kind of into that. And then, you know, I built that guide system that can build guide systems. You know, this was one of my most exciting things. But I'm going to show you now the backend, right? All right, so let's go in the backend again. But this time, if you don't mind, I'm going to open a Visual Studio Code.
36:24So I'm going to open an IDE, right? So where people code again, right? But I'm not going to code. And why I'm going to open this is because you can read files a little bit easier, right? And I want us to read some files. So I went into my.cloud folder, right? This is a folder that is in my computer. And inside this folder, I have all my cloud code things, right? So I have my guide system that we just talked about, right? And I have all the agents here. So you were asking about the agents. So let's get the first agent that we're actually running in the back end right now, which is the guide orchestrator.
37:03So I just opened this up. I'll close this to make it a bit cleaner for us. And maybe let me see if I can make this a little bit bigger. So this is an agent. And people are like, what? How is an agent supposed to look like? Anyways, nobody knows, right? Nobody knows. So I think it looks like this. It has a name. It's a guide orchestrator. It has a description. It's a meta agent that orchestrates guide creation with five phases and seven agents, creates focused five to 10 page guides, no fluff, never creates content directly, launches specialized agents. So this agent's job is to be the orchestrator.
37:40It has some tools, right? It has some tools like task, read, the globe. These are different tools that you can have in your terminal so they can kind of create tasks and read stuff. You can find stuff, you can search for stuff and all that. And then this actually, this one runs on Sonnet. So Opus decided that Sonnet was more than enough for this. And in some, you might see that I have Haiku. Haiku is a good fast model by Anthropic again. Yeah, again, for those of you who don't know, every time Anthropic comes up with a new model, so now it's 4.5, they are eventually, they don't always come up with them at the same time, but eventually they have three models.
38:18Haiku is the smallest, cheapest, fastest one. then there's sonnet which is the middle one which is the one they always release first and then there's opus which opus 4.5 was just released last week uh which is their biggest most capable uh and also most expensive uh model to run but because tim is running on a prepaid plan he doesn't care how much it costs because as long as you don't run to your end of your allowance then you are fine and then you can run opus as much as you want that's exactly it that's exactly it and you know sometimes i go to these agents for them like oh okay let me switch this to opus or things like that.
38:49But Opus helped me. Opus 4.5 helped me, especially... Not in the guide system, sorry. In the latest system I built, Opus 4.5 helped me. And this one, I think it was Opus 4.1 that helped me, or it was Sonnet 4.5 when I did this. And it decided that it was Sonnet. I'm fine with it. The output is great. And then, as you can see, it has a little bit about the description, what it's supposed to do, as we said. So this, by the way, this is quite important because this is like the tag, the metadata about this agent, right? if a model has to read something it will just read this to understand if it needs to use it or not sadly these get loaded in the context window but with Cloud Skills which is a new feature you can have skills like this and you have this metadata that it doesn't read anything else it just reads this and it knows that oh okay I need to use this skill let me go read the other stuff so it loads I'll pause you for one minute because I don't want to jump into Cloud Skills I probably need to record a whole episode about Cloud Skills because it's logical yeah invite me again yeah yeah yeah Yeah, beware of what you wish for.
39:47But cloud skills are, think about every automation you've built, basic automations, like a custom GPT, but think about packaging it in a way that it knows how to call it just when it needs it. So you don't need to go and copy the files and send it to your custom GPT. Cloud code says, oh, this requires this kind of data analysis. I have a skill that knows how to do it. And for me, as an example, I have one that knows how to query my podcast. If I want to know something, When did I talk about this thing in my podcast? It knows how to do that, which otherwise it wouldn't. Or it has one that does things based on my brand guidelines.
40:25Or it has one that does very specific data analysis for me. And like Tim said, the important thing here is instead of blocking your context window, which means it's consuming part of the memory you can use in order to do the actual action you want to do, it does not unless it is actually required. and then it goes and opens, looks, basically opens the book, reads what it needs to do and then does what the book tells it to do. So these are Cloud scales and it's very, very powerful. And the fact that you can run them inside of anything Cloud, including Cloud code is really, really cool. Absolutely, absolutely.
40:57And I think that this is still the beginning, but we do have the problem of the context window, right? The memory that it can remember, it's very small still. And Gemini is doing 1 million tokens and we do have Cloud models that are 1 million, but they're not served to everybody. But we're supposed to get, hopefully, bigger content windows very soon. We have about 14 minutes. So let's... Let's go. I will shut up. Yeah. No, no, no. I love it. And we'll give value. We'll give value very quickly now. So this is an agent, right? It has some principles. These are forbidden. Do not write content yourself.
41:31And we don't get the pink elephant in the room problem anymore, right? Because prompt adherence, if you say don't do that, it doesn't do it. But before, if you said don't do that, It's like, oh, I'm going to go do that. It's like, oh, he talked about it. He probably wants to do it. It's like my four and a half year old daughter. You tell her not to do it, she'll do it. But I think that AI now, like large language models that are now seven years old, maybe not, they act a little bit more like they know that they'll get in trouble if they do it. So they don't do it a little bit better. And so this agent also is aware of the other agents, right?
42:01Because it's the orchestrator. It's like, hey, these are your buddies that you're going to come in and you're going to use these buddies. You know, the guy who researched it, the guy who outlined it, and so on. and then it has a phase it has a total time i it has a whole thing that is like it's like a process right it's like yeah so again to make it simple for people who are not looking at the screen the it's simple english like there's no magic no and it's just describing in a well-structured way that i'm sure you used ai to help you structure to explain what this agent needs to do how to do it and what it shouldn't do.
42:34That's basically what it is. Just in plain English, like a job description, like you're hiring someone, you're going to give them a job description, you're going to tell them, hey, what you can do, what you can't do, what are the tools that you have access, here's the logins, right? This is your job, go do your job, right? So this is the same thing and I recommend everybody, when you're getting agents and so on, write a job description, like onboard your agents, give them the same quality that you would give to a good team member that you've hired for a lot of money, right? That's important because that's what sets you for success.
43:04And then it has the actions and so on, SOP, right? So a standard operating procedure. It knows exactly how to create the project structure. This creates folders. It tells it what to say when it's done and some decision trees, some quality focus and some things that it should remember, right? This is an agent. Question about this, just to verify. I assume you have either a clod scale or something like that that helps you write these in a well-structured way. Yeah, so it's not even skills in most of the things in writing. My agents do a really good job because I'm breaking things into different agents.
43:39So I don't have one agent that will outline and write the whole thing, right? I have an agent that will do the research, will write it to a context file. Then the next agent that is going to create the outline will look at the output of the researcher agent. And then it's going to create his own context saying, hey, like I looked at that. Here's the outline that I think. and then the next agent is going to take that outline, that outline that is the compass. So the instructions don't get too complicated and too cumbersome because you're doing something very specific. And much more specific and focused.
44:08One is a good writer, and then the writer, I will say, this is how I write. Here's some examples, right? And then I'm not eating up on the context window neither. Another question, because we're in an IDE, if you want to reference a file, so I said, this is how I write. You want to give it three examples. Where do these examples live? or you just give it a link to your folder inside your computer? Yeah, so in a lot of cases, I do have the path name to the file, where it is, because it knows in the computer. But if you also want to put an example, you could put another file and say, here's the file.
44:42But also, you can kind of embed it inside here. You could say, here is my tone. You could kind of put a section. Here are the words I like to use. Here are the words I like to use. You can kind of do that. No, but I was thinking more of, let's say, you create one that's writing proposals and you want to give it examples of two of your winning proposals, then you'll put a file and give it a path to the file. Got it. Exactly. So there's an agent at the end of the day. And let's just go back a stage. So this is an agent inside my guide system. As you saw, there's a bunch of other agents. This is the enhancer.
45:12This is the one that is going to write some case studies and examples for the guide. And it's going to ask a bunch of questions. So this is a guide system. It lives here, has agents, has some other things, like a knowledge base, as you were saying. So here's my program. Here's my company training program. Here's our blueprint. Here's the company methodology. Here's my style guide, actually. As you can see, there's a Tim Chucker style guide. There's a Tim Chucker writing style. And it knows because an agent, you can say, hey, I do have some style guides. Go read them. So you're keeping this in a knowledge base.
45:43So the guide system has a knowledge base. It has a memory as well. So it writes in the memory. It has some schema, which is empty at the moment. It has some templates. so workflow state templates and project metadata templates so to write those things and so on each time the same these are JSON files and has here you should have the year, month, date the topic and so on so it kind of gives very small kind of templates structure yeah structure that's a good word to put it thank you very much and at the end of the day the more important thing here is the workflow so I showed you kind of the beautiful thing earlier but at the end of the day this it's the five-phase workflow using the seven agents right so this is why if you remember when i spoke i said make sure to use my guide creation workflow yeah because then it does it reads this first it says oh okay well i have this oh i have an agent that i'm going to first work with right and then it's guide researcher and it's the orchestrator that works with it okay then it works with the outline then it works with the right but then the polish then the market then the enhancement right and this is basically the handshake agreement between the different agents right that's what makes the content move from one agent to the other is this workflow yes because it knows this step i'm going to work with this guy yeah step two i'm going to do this but i do something very uh different than a lot of people and i think people really love that on my linkedin and the other day i showed is i don't let an agent as we were just saying earlier i don't let an agent speak to the next agent because they only speak to the orchestrator they only speak to the orchestrator, but they also only write files to context files.
47:15Right? Because the output would be too much and then the context window would go. But because it writes it to a context file and then the next agent, instead of looking at the whole thing, it just picks up that context file that was written from the previous agent. Yeah. And I'm able to keep much better. Again, we're short on time, but I want to explain what you said because it's important. The context window is your limiting factor, right? This is the amount of data that can go in and out out of a single conversation. And it gets worse. And it gets worse. And if you take, let's say now it's the fifth agent and he wants to know what happened in the first four steps and has to read everything that happened in each one of the previous agents, it's basically going to run out of memory before it can do the thing that it needs to do.
47:55And what Tim is doing, it's having the only thing that gets transferred is basically the output versus the entire thing. And this is what he's calling context files. I was obviously going, okay, here's what I created. This is all you need to know. Like you don't need to know how I created it, what the data that is. You don't need to know any of that. Just read this. Here's what I created. Use this as your entry point to do your task, which saves a lot of space and efficiency and tokens. And there's a lot of other reasons why this is a good idea. Brilliant. Exactly. Yeah. So that's a little hack that I've been doing.
48:25So that's basically one system. You know, it has a master workflow. It has agents. It has some memory. It has different things. It has templates. And this runs in this folder, right? And I have a bunch of these. I have a memory system, which this is basically every agent. And every time I run Cloud Code, this is something new because I read the article a few weeks ago. And I was like, oh, my God, I need systems that get better because I can't just keep working on my system. But instead, if I give feedback, this memory system takes memory, takes things and saying, oh, Tim said this. Tim gave me feedback on here.
48:59And then I'm building this memory system because then the next phase, it looks at the memory system and takes the learnings and does the learnings, right? And it kind of updates the agents as well as we go along, right? Yeah, awesome. Yeah, so every system, as you can see, has same agents, bins, schemas, skills, you know, and so on, right? So they all kind of work on the same thing. All my systems, you know, have similar things and the agents are just there. It's, you know, it's simple. Yeah, so I want to really summarize this and then and then let people know where they can find you and follow you and work with you but at the end of the day we went from i know i want to do something to breaking this down to okay if i had to hire people to do this what would i do i will hire a person that will be their manager because i need five people and i don't want to manage them and then i will need a person that does this a person that does this a person does this and then you literally go in and explain what each and every one of them does.
50:01Just like Tim said, it's a job description, a very detailed job description because it's got to follow that exactly. It's not going to take any initiatives. So you've got to tell it exactly what it needs to do. As Tim said, the smaller you make it, the better because then it's very specific and then hand it off to the next agent. It's not going to get confused what it needs to do and then create the plan of how does the handshake work? Once you're done, who do you hand this over to? And then when you run the process, you ask, quote unquote, the process to use this plan and then use the agents in order to complete the task.
50:35And then what happens is then the magic happens, right? Because when then you give it a task, it already has all these job descriptions and all the handshake functions on how to go from step one to step two, to step three, to step four. So if you think about every process in your company, you can mimic this. If you can clearly describe what each of the steps are and how the steps lead from one another, which makes it so powerful and brilliant because you can apply this to literally anything in your business. And it's all 100 % of it, simple English. There's nothing here that you cannot do without writing any code.
51:11This was nothing short of incredible. I think what you built is mind blowing. But as you said, it's also very simple. And I know that people are going to listen to this first like okay we lost you in 30 minutes in listen to this again and you'll see that there's nothing here that is rocket science it's literally simple english explaining what you want that will happen and breaking it and structure it in a very well-defined way if i can add something i think it's about 100 it's about zooming out i was you know since since chat gpt you know which has been three years and four days came out i was very zoomed in and i was kind of you know doing all these things, prompts and so on.
51:50And then I realized if we zoom out and then we start looking at this, as you said, it's much simpler as just a business with processes, a bunch of process system, job descriptions and put them in there. And then you'll give them tools. The model context protocol MCP that I mentioned are like APIs. Imagine it's like a login. You know, I can give it an MCP to HubSpot to my CRM and it can update my HubSpot. It can do these things. And it's like getting a salesperson i hired a salesperson i'm like here's your hubspot login so it's the same idea it's just we i think overcomplicate things but when we simplify things again and ai is an incredible colleague now for you to to build these systems you just have to very much think about what do i do right yeah what does this team member do how do we do what we do you know what do we do right because if you actually start asking these questions and you can write them down the ais will help you build it anyways.
52:44You don't have to be a rocket scientist. Amazing. Tim, if people want to follow you, work with you, learn from you, hire you, what are the best ways to do that? Yeah, I think that the best way is LinkedIn. Tim Chakir, T-I-M-C-A-K-I-R is LinkedIn or my email, tim.aroperator.com. We do have training programs. We build stuff for people and so on, but we usually work with companies of at least 50 people. So we work with kind of mid-SMBs, nothing under 30 or so people, because that's where we really see return on investment, right? Just FYI for everybody listening. And my YouTube, yeah, my YouTube is a new project.
53:23I mean, it's been a year. It's been something where how I'm sharing what I'm sharing today, I share everything that I know, every failure, everything I fix, I try. And then from there, you'll find, from my LinkedIn, you'll find newsletter. There's a lot of free content I put there. I want to teach everybody for free, but I have some clients so that they can pay so that I can kind of also share things for free for everybody. Yes. Same thing, same thing that I do. Tim, this was absolutely amazing. You are absolutely brilliant. I appreciate everything that you're doing and what you're sharing and sharing with us today.
53:52Thank you so much. And thanks everybody who joined us live and was in this, in the back end and listening to what we're doing. And obviously, if you're listening to this after the fact, come and join us in this live so we can ask questions as well. Thanks again. Thank you very much. Thank you for having me. you
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Join us for a live, step-by-step masterclass with Tim Cakir — AI trainer, YouTuber, and the kind of guy who casually manages 50+ agents to run his operations. You’ll learn how he uses Claude Code to automate content creation, training, sales prep, and more.
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