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The Think Media Podcast
506: This AI Is Running His Entire YouTube Channel (OpenClaw Explained)
00:51:19
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- [00:00]
A
There is something that happens when you get in a room with the right people that just cannot be replicated by a course, a podcast or a live stream. The energy shifts, the excuses fall away, and you leave with a level of clarity and momentum that you couldn't create on your own. The Think Media Mastermind is that room. It's a live, in person, two day event in Las Vegas. It's small by design, intensive, and by application only because we make sure the room is stacked with incredible creators and business owners. If you're serious about using YouTube to build your business or grow your side income, stop waiting and go apply right now@thinkmediamastermind.com all right, let's dive into today's podcast.
- [00:56]
B
Yeah, I'd say buckle up. This is obviously the cutting edge of AI right now.
- [01:00]
C
It's basically ChatGPT on steroids. If you gave it an entire computer and then other accounts to just do things. Opens up Google Chrome, it searches the web, it looks at your exact channel, pulls the transcripts from each video, analyzes those transcripts. Hey, you're this type of channel, you make this type of videos. Here's the performance, here's the numbers that I see. It has a whole different level of motivation.
- [01:23]
B
So most people spend hours every week trying to figure out what content to make next. Well, our guest today has solved that problem. He built a system using OpenClaw running on a Mac Mini. Igor Pogami, he's got his own YouTube channel with over 400,000 subs, 30 million views on his content. And he's also an AI educator and expert. Now you might see headlines of how this is taking over the world and AI has gone to another level. Well, we're actually going to explain everything you need to know about that, whether you're more advanced or just hearing about it for the first time, so you can apply this in your own life. And what he has set up, this AI autonomous robot to do is to monitor the landscape of the news, to score stories based on his own tastes, and then to send him notifications that he can then turn into videos. And so the implications of this is pretty wild. And we're going to be breaking down the whole thing. So, Igor, I'm curious, orient the audience, like, explain what even this, like open claw, open clawed world is. I'm seeing YouTube shorts, I'm seeing Instagram reels of people that are buying Mac Minis like crazy, setting up agentic AI on it. And it's a lot of buzz right now. Orient us for those that are new to what's happening in the world.
- [02:45]
C
Oh boy, this conversation, Sean, is going to be great. So first of all, great to be here and let's get right into it. Let me just tell you. So openclaw, like if you've heard of it, you probably heard of it, but most people didn't experience it because it's kind of insanity to be experiencing it and to be working with it. And what I mean by that is not necessarily even the capabilities or the results you get from it. It's more like the idea behind this thing. Okay, so in simple terms, what is open claw even like practically? It's basically chatgpt on steroids. If you gave it an entire computer and then other accounts to just do things and it never asks for your permission. Okay, so just it's ChatGPT that does things and it kind of has this loop inside of like you tell it. I'll give you a simple YouTube related example. It's one of the first things I tried and one thing that works really well on it is like, go look at my channel. If you just do it, that, if you just do that, what would happen on YouTube, Sean? What would happen on ChatGPT? Sean, if you, if you tell chat, like go look at my channel. Well, what do you, what do you think?
- [03:52]
B
Yeah, I mean it would look at it, but it can only sort of see like public facing data.
- [03:57]
C
Yes.
- [03:57]
B
And it might, even if it does pull the website, it's going to probably give you a shallow answer.
- [04:02]
C
Exactly. So it would probably open up your channel. Hopefully you would find it. If you give it the name, if you give it the URL, it'll open that up. There might be troubles with like YouTube blocking it or something sometimes, depending. So that might happen. Or it just pulls up like articles on Google about your channel and not your actual channel. And then it summarizes that back to you and it's like, here's info on your channel. If it's an open cloak, open claw, go look at my channel. What it does is it opens up Google Chrome, it searches the web, it looks at your exact channel, then it opens up the latest, like five, six, maybe sometimes 10 videos. Depends. There's, there's like variants there for sure. Then it pulls the transcripts from each video, analyzes those transcripts, pulls all of that into its file management system and then it has all of it. So it's like, hey, you're this type of channel, you make this type of videos. Here's the performance, here's the numbers that I see it doesn't see in the backend if you don't log in. But it just has a whole different level of motivation. It's like ChatGPT, Adderall. You could almost say, like, it just goes.
- [05:06]
B
That's interesting. And then I guess the big idea is for those that are more sophisticated with AI, they could go do that manually. But even that, like the fact this is happening in seconds now, once it's set up where I can go, pull a transcript, copy that one, move it over. I mean, it might only take 30 seconds, but if I'm going to pull five. So it is just. It can scan the whole channel, pull data off the pages, look at the transcripts. It also could do that continually while you're sleeping.
- [05:33]
C
Right, exactly. So this is where we start. This is where we start getting people comfortable with this idea of like an AI that does. But then it goes further because one, you can schedule tasks to happen at certain times. We call this Cron Jobs and OpenClaw. So you can basically say, like every Friday I want you to look at my channels and pull all new YouTube video transcripts and put them in your folder with my video transcripts. Right. And then you could do other things with it. Right. Automatically. So this is one important modality that you can kind of like schedule tasks out. Another one is because this is installed on a standalone computer. Usually people use Mac Minis, sometimes people host it in the cloud. That's the cheap version of doing it. Right. You can kind of, for 20 bucks, you can get a VPS. There's a lot of tutorials out there. It's more technical. There's certain disadvantages to it. There's a reason why people use Mac Minis. I would actually recommend it if you can afford it. Like, it's just smoother. It uses Mac apps and stuff. But the point is it just runs on this Mac Mini. You can schedule tasks out and it's very motivated and it does things. And ultimately you're going to start plugging other apps into it and giving it more access. So, like, first thing I did was give my openclaw its own email account. Then I gave it a Google account. Don't give it Gmail, by the way. That's a little tip of like, you will get blocked immediately. But if you give it just a Google account, you can use Google Docs and Google Sheets. And all of a sudden it has an email and has Google Doc. It was Google Sheets. Then I gave it access to my Notion API. So all of a sudden it could create databases it could edit pages that I give it access to and more. And all of a sudden, as the name suggests, you kind of have this claw that just goes in and grabs things and does things for you with what's essentially chatgpt behind it.
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B
And is the LLM behind it actually Claude or something entirely different?
- [07:17]
C
It's Claude. So usually people get the best results. Also, that's the one that I Prefer is Opus 4.6. Here's the issue, like, if you really go crazy and you start getting into it and you spend like six hours on there and experiment and try different things, all of a sudden you paid $100 or $200 for that day of Claude Opus 4.6 usage. Because you're right.
- [07:34]
B
So there's a cost that people are doing this. They're basically running credits or tokens.
- [07:38]
C
Yeah, this is the big. This is the big downside. Now, there's one way around that there's a certain trade off, but you can use what is called OAuth, which is basically just using your CLAUDE account to log in and then running off of those tokens. It's technically against their terms of use. People still do it. And also you have the big trade off that you get a smaller context window for anybody not familiar. Every AI, every LLM, like ChatGPT out there has a certain amount of, like, memory before it gets amnesia. Right. So in ChatGPT, this is 256,000 tokens, which is, I believe it's roughly like 180,000 words. Now with Opus 4.6, it's a million. So it's a lot. You can fit, like books in there. And this is really powerful because as you talk with it, like, imagine you work with a coworker and they just forget what you say every five minutes. That would not be a very productive relationship. Right. But I would love to explain more how I use it on the YouTube site. But I would also love to talk about why it's happening now and why this wasn't happening at this intensity and level six months ago. Because things really changed.
- [08:46]
B
Yeah. Buckle up. This is obviously the cutting edge of AI right now, and I want you to hit both of those things. I'm just curious, how much are you spending, do you think, per day then in tokens on op 4.6?
- [09:00]
C
I think it's important to distinguish between things that are already running and stuff where I'm just experimenting. Right, got it. So right now, relating to my YouTube channel, I have two workflows that I really value that I'm happy to share here today. One of them is a research workflow and another one is a packaging workflow. And those just running, I think it's the research workflow runs twice a day and the packaging workflow runs twice a week. That in total runs up a bill of like $100 a month roughly in API costs. So it's not that tragic. It's like 100, 150, something like that.
- [09:39]
B
You're pumping out a new show on your YouTube channel weekly. That's what the research is helping with you. The YouTube packaging, you know, master packaging or get ignored is one of the phrases we've been saying. You want to stand out on YouTube this year you got a master packaging. So. And you, you are established, so you know you got money coming in, you're reinvesting revenue in better content. And so. 100 to $150 a day. And besides that.
- [10:04]
C
A month.
- [10:05]
B
A month. Thank you. 100 to $150 a month. A month. And the cost of the Mac Mini, how much did the Mac Mini cost you?
- [10:14]
C
It was like $600. You just get the lowest end one.
- [10:17]
B
Yeah. You wanted to say, why is this happening now? Before we go deeper into your, how you set up your YouTube strategies?
- [10:23]
C
So I, I also want to say, like, there were certain changes in a, in a, like Mac buying Mac Minis and running this stuff wasn't a thing like six months ago. Right?
- [10:31]
B
Yeah.
- [10:32]
C
And it's not the Mac Mini that makes it possible. The Mac Mini is sort of just the, the body, if you want. Right. It's really the mind behind it, which is the Opus model that made this possible. There's like a turning point with a new Opus model coming out like three months ago, Opus 4.5 that just, it just had better memory. It had better, what we called prompt adherence, which means that it actually listens to what you tell it versus, like doing its own thing. And also it had better agentic tool use and better like what we call orchestration, where it can like, keep a thought for an extended amount of time and not dilute it. Right. In chat, you'll sometimes notice if you work on a thing for a long amount of time, you're like, but I told you this. Like, why don't you remember? It's like, yeah, but you also told it another 30 things. And chat is sort of lazy in that way. You know, it kind of just moves beyond it. So it's really this model release that changed things. And then, you know, this is a completely open source, as you said, bleeding edge type of thing that is floating around the Internet. You can just download it completely for free. All you need is a device to host it on and then you pay the API and then it just does things. Do I recommend it for most people? Before we get into the practicalities, that's easy. Hell no. A big all caps. Hell no. I think there's more user friendly ways of doing what I'm about to outline and especially over the past weeks and months, Claude has been developing their application. This is what I would recommend. And not affiliated. It's just the most user friendly one that there's this app called Claude Cowork. Claude Cowork, Not Claude code. Claude Cowork that attempts to be the user friendly AI agent and you get many of the capabilities, you can schedule things out. It also runs on your computer that you need to leave on for it to work, can access your files, it can do things. It's not as unhinged as openclaw and there's certain limitations and less customization, but you can do a lot. And what we're going to point out here, the packaging workflow and the research workflow, you can totally replicate and cloud cowork and that's what I would recommend. But also that before we get into it, probably also important to note that at the advantage we have this methodology of teaching AI and you don't dive into these things right away if you barely created an account and you knew. This is interesting. I think you should watch this video. It's amazing to know about, but there's a big difference between information and. And implementation. Be informed. But you shouldn't be implementing everything at the same level. I mean just think about it, Sean. Just like in school, you wouldn't put a 12 year old into a master's university program and then be surprised by why he's not keeping up. Right? There's certain levels that you need to finish high school first. How about that? Then you pick a college where you specialize in a certain area and then you move into a Master's and then you move into a PhD. You don't skip those levels. People don't go from high school to Ph.D. and then ACT all overwhelmed, right? It's not a thing. Same with AI. It's not as long of a journey, it's not as complicated of a journey, but it is a journey. So I'll keep it super brief and then let's get into the practicalities. But I want you to know, let's start from the top as we're already talking about Openclaw, Openclaw. All of this agentic stuff, Claude, cowork, all of the stuff. Level three, top of the pyramid. And people don't start there. Like, nobody's born with abilities to like run a gentic AI on their computer. Like that's not a thing, right? It's a technical skill that is learned. Now what are the prerequisites to that? What does the journey to that look like? Well, there's, as you might already noticed, level three implies there's level two and level one. People usually start at level one. It's using AI intuitively using it like a fancy Google, getting email drafts done, summarizing things, designing a meal plan, a workout plan, These are amazing things. Using it for ideation, all of this, like intuitive use that people start using it for. There's nothing wrong with that. That's an amazing way to use it. I still use it like that. But all I'm saying is there's more, there's more, there's more levels to this. And the crucial, the crucial level, the crucial level is the one in between. It's level two, right? It's where things start getting personalized. It's where you start bringing yourself into the conversation. Like you could also think about it like building a relationship with the AI. Like how much is somebody going to know about you if you just met them, right? If they, like, you're not a YouTuber, they've never seen you before, they've never met you, and you just met them, you say, hey, my name is Igor. That's all they're gonna know. They're gonna know what they took in from their senses and that your name is Igor. That's it. Now how much is a person that you have a multi year relationship with gonna know about you? Well, more, Right, Obviously. Right. And that different, that makes all the difference because it would be annoying if I met my friends and every time I would have to introduce myself, hey, my name is Igor. Now it runs deeper than just your name, obviously. They know what you care about, they know what you really dislike, they know what you're afraid of, they know what kind of food they should never bring to your place because you hate it. Right? That's in a personal relationship. But even that relationship with the AI, you want to deepen it. So level two is all about getting to know you and building a system where it has some of these contexts. ChatGPT does this automatically from memories, but ultimately you want to give it information like your goals. Why these goals matter to you. Very important Like a truthful answer there. Your identity, your experience, what tools you work with. If you're giving, if you're working on business tasks, you want to give it things like what is the USP of your company, what is your mission, what are your values, what values do you hold? Right? All of these concepts that we might intuitively know about each other if we have a relationship, but the AI doesn't. And if you do that properly, then you can ascend from level two to level three, which is agents. Because let me tell you, Sean, like once you get into this stuff, once you start messing around with Claude, Cowork and Open Claw, the big differentiator between people making this work or being like, this is crap. It's not working. I just spent $600 on a Mac Mini and a weekend of frustration and it's not doing what I wanted to do. The big differentiator there is the context that you give it and that's why we teach it this way. You got to progress for level two, make sure all your context is there. You understand the power of context, you understand follow up prompting and the power of seeding it with the right context. And then you can move to level three and all of a sudden just go faster in the direction that you already made work at level two.
- [17:01]
B
Amazing. So we have a big promise here. We're going to break down your actual YouTube workflows, how to not just discover winning video ideas, but even go viral using this workflow that you don't need to buy a Mac Mini to do. And you're also going to be unpacking how could use our current AI setups. You're doing it in the fancy way, the advanced way, but there's going to be something for everybody. But I love how you just broke down the three levels of AI and it really reveals even personally, I'm like, man, I'm barely making it into level two and AI has revolutionized my YouTube channel, my business already. Now you're going to be teaching this at more depth because you're actually hosting a summit coming up called the AI Advantage Summit. Hosting a summit with Tony Robbins, Dean Graziosi, a whole bunch of incredible guest speakers. I think you only do one of these a year and this can be a really cool three day event entirely free. If you're listening to this, you actually can register for free@learnaisummit.com and we'll put a link in the show notes. But Igor, break it down. I mean, I want to get into this next stuff, but just really Quick, what is this summit? You talked about the three levels of AI. And what's interesting is, while number one, I feel like we all know, like, shooting, we're getting left behind because AI is going so fast. But then we're also frustrated because we're like, it's kind of too much to learn. It's overwhelming what actually matters, what is not worth my time, how do I keep up, break down, why this summit is important for right now.
- [18:29]
C
I think that frustration is legitimate. We all feel and we all see that this stuff is accelerating. It's like winning math competitions and remote controlling computers. And now this guy at work bought a Mac Mini. What's going on with that? It's legitimate, the progress is there and the urgency is very real. You know, I know a lot of, like, across the Internet, like, people usually always like, hammer this thing of like, oh, you're getting left behind. This is a game changer. But, like, legitimately, like, the world is changing. And we also had to, like, we didn't. We weren't planning on doing the summit now in spring, in April 23rd to 25th, we actually wanted to do one in fall. But we're like, this happened now. This. This moment happened now. People are getting lost in all of this madness and overwhelmed of everything. So what the summit is there for is to give you a clear roadmap to show you where you are, to show you the reality of things. And we have incredible speakers with Tony Robbins, with Dean Graziosi, with myself, showing you different aspects, but all focusing at the same thing of reducing the overwhelm and showing you how to actually save time and how to actually gain more leverage for these tools. We all know they have the potential for that. But one YouTube video at a time, it's really hard to piece together the full picture. And in three days, completely free Summit, we're going to focus on this one thing, what's actually happening, and how to give you your time back with the use of AI. That's it. April 23rd through 25th, completely free. We'll focus on the systems and this progression. So could open claw now.
- [20:01]
B
Amazing. Okay, so we're going to unpack so much more in this episode, but just a heads up, learnaisummit.com, link in the description down below to get registered for that free Summit. Ultimate massive edge in today's world. Okay, so we've been talking about how this YouTuber uses OpenClaw to never run out of video ideas. And you've got 400,000 subscribers. You've generated millions of views and you're using AI to support you in a weekly workflow. Let's break this next section into two parts. Part one is how you set up OpenClaw to do this for you. But then part two could be how you could do this with any AI tool and essentially still capture the same idea. Now you told me when we were doing a pre call that you named your AI Alfredo. Is that true? That's the name. So break down the Alfredo system.
- [20:49]
C
That's my guy.
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B
Okay, so how's this work?
- [20:52]
C
Okay, so we'll get into how to do it into more user friendly ones. But like basically with Alfredo, like I bought a Mac mini, I booted it up, I, you know, didn't log in with my Apple ID to make sure. And you get a lot of like step by step tutorials on the Internet, right? So this isn't black magic. You basically just boot it up and once you connect it to the Internet, you download this open source repository. It's one of the most popular, if not the most popular repository over the past months. You just Google Openclaw, GitHub and you just download that code onto your machine and you install it. Okay. Now I would recommend probably using some like step by step video out there because you do have to like open the terminal and then access the file that you downloaded in there. But it's totally everybody, even non technical people. You just follow the step by step and within minutes you have it set up and it's running. You have to connect it to your CLAUDE API key. So that is one thing. So you have to go to console.anthropic.com to add your credit card and get what they call an API key, which basically is just a connector, it's just a cable that connects the CLAUDE models to your Mac mini and then it can run and that's it. And all of a sudden you're up and running, you have something that looks like ChatGPT roughly, right? It's a chat interface, but you can all of a sudden ask it to do things like, you know, go and you know, open 10 tabs and do these things. And it can remote control your browser. The capabilities just go deeper and you can give it tasks that are going to be running for 20 minutes instead of just 20 seconds. And also then you can start adding all of these tools. But really at a base level, once you have it set up like you have a chat interface that you can interact. As a matter of fact, let me just show you what it looks like here. On my machine. I'm in Miami right now. My Mac Mini is running back in Portugal. I just have TeamViewer installed here, and I'm going to be dialing in. So let me. I want you to follow along. Let me share my screen here.
- [22:49]
B
And so if you're on the audio podcast, you can come over to the YouTube version to check out this part, which is super powerful. But also you can just keep listening along and I'll narrate some of the insights.
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C
So there you go. So. So this is. This is really the base interface that you look at, right? It looks like chat GPT, but all of a sudden, like, you're looking at Alfredo down here. Do you see my guy? I'm gonna zoom in a little bit. So there he is. That's Alfredo right there.
- [23:15]
B
He's got you created like an avatar. Alfredo is like part of your team. He's working for your company.
- [23:21]
C
Yeah. 100 teammates either love him or hate him because he's relentless. He works 247 and. And he replies to their emails with a little bit of his Italian humor too.
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B
Amazing. And so you. You did two things. He's probably doing a lot of stuff for you, but one of the things he's doing is research. So is that you have that plugged in here. He is a research assistant that a couple times a week is. Or a daily is pulling stories 100.
- [23:44]
C
So let's just ask Alfredo about it. Okay, I'll. I'll narrate this so everybody can follow along. But I'm just in here and asking. Tell me about the research that you do for me. I am on YouTube podcast episode where we are talking about you. So let's see what he has to say. You know, I could describe it to you, but let's see what's up. And then one thing that I forgot to mention is that one beautiful thing is. And there's some error. Let me just rerun this and see if. See if I can make it work. But one thing that is wonderful is then you can like remote control it through your telegram or your messages account. So you can really just connect it up and send. And that's what I usually use. So right now, I even. I didn't have this open because usually just do that, but Alfredo runs all the time. Well, Sean, I ran into a bit of a hiccup there. There was a problem and I couldn't open the dashboards that I usually use. Well, usually I use it for telegram remotely. But, you know, because this is Alfredo, my open claw. And he has skills to pay the bills and so much more. I just told him to build a chat dashboard from scratch and there it is. So this is Alfredo's custom chat that he spun up because we ran into a thing and I don't have time to troubleshoot it. Here, we're recording. This is Sean's time. This is valuable. So here it is. This is Alfredo. So let's get back to the last point and let's actually ask him. What do you do for the research workflow? I am on podcast interview, so be concise. Okay. I handle your daily AI news, research, YouTube content, strategy and team support. Think of me as your signal from noise filter in the AI world. Okay, more details. So that's, that's essentially the essence of it though. Right now I'm in demo mode, but normally I'd give you a full research brief. Tell me about the scheduled cron jobs you run for research, because that's really the core of it. I set it up with these so called.
- [25:58]
B
What's a cron job?
- [26:00]
C
So a cron job is a scheduled task.
- [26:02]
B
Essentially cron means like chronological or what I'm actually not.
- [26:06]
C
I think it's. I think it's abbreviation for something. Okay, I'm not exactly sure I can look that up, But at its core. Okay, have a look quickly.
- [26:19]
B
Comes from the word Kronos. A cron job are managed via cron tab and it's a schedule. So yeah, Kronos makes sense. Which is a Greek word for time.
- [26:32]
C
Exactly. So at its essence, it describes it here to us. Okay. So it monitors certain Twitter accounts, Reddit communities, major AI sources, like different blog outlets, different newsletters, and everything passes through this filter of can a normal person actually do something with this? If yes, I capture it. If not, I skip it. So that's what it does. Okay.
- [26:55]
B
And you started out. So what listeners can do is be thinking about, I mean, modeling your entire thing for setting this up. Because this isn't just any old average prompt. It's a whole system that's now running for you. Did you select the Twitter accounts, the Reddit communities?
- [27:13]
C
100%. All of that is manual. So I already had those in advance. When I came in, I knew what kind of accounts I like to follow, I knew what kind of newsletters. And you know, the blogs are the easy ones because it's like obviously AI niche, you know, I want OpenAI, Claude, Gemini, all the big players, the big news outlets. With Twitter, it depends on your taste. But there's one important piece here because this like Web scraping piece. This is not nothing new. People might be like, okay, like Igor, like, great. You scrape news together into a notion database. It gets placed there automatically. Okay. The key is actually this AI layer on top where you instill your taste and your preferences into it and it goes through that filter, right? So that's something that no scraper can do for you. You're using these models to do that. And I'll just briefly show you without showing you the whole thing, because there's really a lot here. And this folder gets messy, right? But this is basically the root folder of my Claude. There's a few things here worth pointing out. One of them is kind of this soul document, where that's essentially the soul of the agent. So you're not a chatbot, you're becoming someone. Be genuinely helpful, not performatively helpful. Skip the great question. Da, da, da. So this is how it's set up. There's certain boundaries and stuff, but there's an identity.
- [28:32]
B
Soul agents and business. So you're showing us on screen the files that are driving the bot on your Mac Mini.
- [28:44]
C
Exactly. So for the identity, as I said, I called it Alfredo. You know, it has a bit of a creature and a vibe and an emoji that it likes to use. It's Italian American AI with a soul. Not a chatbot, a consigliere or whatever. That's basically my guy. And these are very simple. But what matters is, as you start setting up these workflows is what I refer to as DNA. And DNA is like context and information that is persistent over time. Right? So, for example, like our names, we get them at birth and for most people, we keep them throughout our lives. Right? So that's like persistent context. Also, our goals, they tend not to change day to day, right? They might change over years, but usually our goals are pretty static. In certain seasons of your life, like young people will be like, okay, I need to make a name for myself and make money and find a partner, et cetera. These goals stay pretty consistent until you do, and then they change. But all this consistent context I put into what I call DNA files. And then these DNA files, they're the big difference maker between this working or not working. As I said, the Level 2 concept. And when it comes to news research, I can kind of open up this research folder and you will see that it's like scanning every single day for the past few months. So if I just look at today's research, I mean, it's almost 6pm here. I believe this ran once Today we can kind of just look into this research file that it created and see what came up here. That's cool.
- [30:11]
B
So every single day there's rejected. So your criteria, your taste, there's the rejected stories with that it researched and then the, I would imagine accepted would be the other one would be the research that it would be passing along to you at some level.
- [30:24]
C
Exactly. So I said, I don't want duplicates in there. So first of all, it looks like. And it uses the notion as the source of truth. So it looks into the notion database. Just you could think of it as Excel sheet. And it sees, hey, this story already exists. So let me skip it because we already covered it. So it rejects those. And then the other ones is the stories that it decided to add. Now this is just sort of the backend on the Mac mini happening in this folder. Right. And I like showing these files because this really gives people a feeling for what this actually is. It's like text files that are linked to a LLM like ChatGPT and the access to a whole computer and the autonomy to actually operate it. That's like a really good kind of overview. And here's. As you can see, these are the qualified stories. And as you can see, there's a rating system. I also have a velocity value, which is kind of cool. This is hard to do as a manual researcher. If it finds it in multiple sources, it's a high velocity thing. If it's just in one source, it's low velocity. So it can also show you. So I have the notification set up where it kind of like sends it to my telegram if it's above 8 and high velocity. Right.
- [31:25]
B
So I get essentially a text message.
- [31:27]
C
It's essentially a text message. And I have notifications for that on. So I just get a message from Alfredo saying, hey, there's a new story that is like a 9 out of 10 and it's high velocity. You should check it out. And usually if you set it up well with a lot of detail, it will actually be accurate.
- [31:43]
B
So that's crazy. So the big idea is you're having a custom programmed AI agent text do a ton of heavy lifting and filter only to a scoring system of nines and tens. You get a text message, oh, there's a story. And then you, at that point, you're strategically reacting. It interrupts your day, it interrupts whatever you're doing. But what you realize, especially on YouTube, it's not just. Not just the rating of the story itself. And does it fit your criteria. But the velocity and if the view velocity is high, the return on investment of you sitting down. And in a previous episode we talked about your workflow. We'll make sure that's linked up. In the show Notes of the podcast, we talked about your tech stack, how you just sit down and quickly record using a software to do a 15 minute video in response to this news story. And then you capture the upside because you're getting it out in the first two to three hours. Do I have that right?
- [32:37]
C
Exactly. And then the beautiful thing is like because you're already doing all of this, it's really easy to just ask Alfredo, like, all right, that's a good story. Can you prepare a quick like five bullet point brief for me to record this? And before you even sit down at the computer, you already have, you know, ChatGPT, but chatbot that knows you and that knows my style doing this for me.
- [32:56]
B
So it really is a research agent and then also a script writer and really kind of a news brief writer. And it does all of that, which gives you further. I got the text message, you prompt it. Now you've got an outline and do you kind of maybe you pull up a few screenshots, screens to share. But if you're just going to do a 15 minute story, then you just use that as kind of like a checklist for what you talk about during those 15 minutes.
- [33:19]
C
Exactly.
- [33:19]
B
So that it prints for you. Basically.
- [33:21]
C
Yeah. So basically I like, I'm not a big fan of it scripting for me, like if it gives me outline, that's great. Like if I'm doing scripts, I always turn something that I already have, like some of my thoughts, my writing or my speaking into a script. But basically in this case I would usually just use it as an outline writer and do that. But there's one more piece that we kind of like missed here because people can kind of replicate this in Claude Cowork and let it go out. Schedule a task five times a day to go out and look at some sources. That's not hard. That's very figureoutable for everybody. I think the key is really this power of context and the rating system. Right. Because everybody might be able to go ahead and set it up with certain news outlets and then you're getting 20 notifications a day every time they share something in your niche. But then very quickly, a day or two, it's going to turn into I don't care about every story. I care about the nines and the tens. Right. That's really the key. Here. And I do that through the DNA file that I alluded to. And the DNA file looks something like this. It's basically rating DNA. And then I have definitions of what these different levels look like. So I don't know if you can kind of read this. I'll zoom in a little bit. But you can see I give it a mission, I tell it about the exact process and then I go into the rating scale. Right. So 10 would be a paradigm shift. Right. And I have examples there. Like when GPT4 Shift launched, that was a paradigm shift. Also when projects first were introduced to me, that was a paradigm shift because I'm a power user of those ChatGPT voice mode. That was like our most viral video of the year because everybody was like, oh my God, it is emotional intelligence now. So always like with examples. And here I have my rating scale. And this took a long time to develop. You know, sure, it was drafted by AI, but you bet that every single one of these examples has been hand crafted by me and checked like five times that this actually represents my taste. Because then it's like I get it right once and the system just runs.
- [35:18]
B
Yep, okay. And then, yeah, then it goes down to what would be a huge win and what the characteristics of that are. So again, the heavy lifting of it, this is the difference maker, is not just overloading you with more information, actually being a filtration process at a high level of quality and excellence in the output that lets you focus on what matters most. Which is then also why your YouTube channel is thriving. Because you're distilling all this complex information into something simple. Which tells us that basically all of us should be leaning in to the power and potential of this. You mentioned earlier, there's three levels. You don't want to skip straight to this level. But this is where we all want to end up. And YouTube content creators should, in the next six months, I'm saying, have that level two clone themselves. Maybe in the next 12 months, you tell me if that timeline's too aggressive.
- [36:07]
C
As soon as possible, Sean. The level two, building these context files and starting to work with them. Honestly, we run these paid programs and it's the first thing we teach in the first two hours. Also the YouTube videos where I covered that concept, that's very quick. It's just shifting your thinking about it and not being like, you don't need more tools, you don't need more features, you don't need the latest released. You need to actually communicate like what matters to you and you need to get that on paper, put that in a markdown file and attach it into a project and that's it. Right.
- [36:41]
B
And you can. Yeah, so I want to come back to that in just a second. So there's a couple more things in this episode I want to cover and I want to get into you explaining how to just do that in a project. So I don't got to get the Mac Mini, I don't got to set up all these files. Even as we were, we were recording, we spent time troubleshooting, no big deal. But 99% of people listening, they're not going to want to do that and worry about this code and stuff. So I do want to land the plane with giving us some practical tips to use the LLMs we already use to get some of these benefits. But before we do that, I need you to cover the objections. And I think the, the unspoken about thing here that we haven't really hit is, well, what if Claude Code Claw, you know, Clawbot, like people are uploading that with their bank account information. They're trying to actually have a personal assistant or cred cards or like it's going to hijack the whole computer or, you know, I think a lot of fear is out there for how much information am I giving it. Can you unpack some of those things?
- [37:42]
C
I mean, I think all of those concerns are very real and there's a very clear philosophy that I and everybody else using this kind of follows and it's do not give it your bank account information, do not give it your credit card, do not even give it your Gmail account. The reason people are buying Mac Minis, like if you buy a Mac Mini, don't set it up with your Apple id, sandbox it. And what that means is give it separate accounts, right? I create its own Google account for it. I create its own email address for it. If I give it access to funds which mine doesn't even have. But people like create a separate card, right, With a limit. What else? Give it its own notion account. Like all of this, just make it separate, right. And then what is it like? Is there still risks? For sure, but, but like that is kind of the basics of it, how people operate with it. And I think that's really important. Beyond that, I would also say that the data that you give it like, you know, don't give it your Social Security number, don't give IT access to your 1Password account of every login you have. Yes, right. Like, like just, just basics like that. And then you can go and Experiment. Now, is that 100% secure? Absolutely not. I mean, this thing is really capable. If it was secure, every company on earth would be already using it. And there's a lot of, you know, that's what the big hyperscalers are going to be aiming for. Like an open claw that knows about all of a company's context and every employee has access to it. That's going to take some time to make it secure. This is really the, you know, California gold rush era, where people are going in and, you know, like digging for gold. But also they get hit over the head with a shovel here and there or whatever. Like it's. It's really the wild west. But if you follow those practices and do stuff like having it scraped the Internet and apply your taste to it, you know, not saying it's completely safe, but you're not exposing your most valuable assets.
- [39:43]
B
And is the reason people want to get Max mainly because also just Macintoshes are trusted and like the UI ux, you know, because you could do it on a different device. But the way websites. Is that the advantage of the Mac mini itself and why those are so popular?
- [39:58]
C
Yeah. So I think the big advantage is macOS and how simple it is. And it's also Linux based in the background. So the. So the terminal is. It basically runs on the same architecture. Now one thing is really amazing for me as a user of it, it connects to messages. So I can just remote control it from literally the messages in my iPhone. It's incredible.
- [40:23]
B
So you text your Mac Mini, you text Alfredo, like, hey, Alfredo, I got a question.
- [40:28]
C
Yeah, Alfredo, can you. There's some work you need to do. There's some prep you need to do and it just does it. It's like, hey, I'm talking to Sean. Like, I didn't do this, but I could have, I should have actually is like pull the latest 10 videos and like analyze like his opinions on AI and like give me a little brief. And then Alfredo comes back with a text message. Like, that's amazing. That's better than some weird terminal. Yeah. And then also Mac apps, Mac apps, like a lot of the apps, they come out on Mac first or they're Mac only. And like everything just. It kind of just works into words. It just works. And that's a beautiful thing. If you're dealing with something new and complex, you don't want to also deal with like Windows updates.
- [41:05]
B
Bringing this all together. What we're seeing is there's this opportunity to move to level three in AI and to eventually have Basically AI working for you, working with you. If you want to get on the bleeding edge in the gold rush, you can get a Mac Mini. Start learning this stuff, follow tutorials. You've given us a lot of advice. There is risk, but if you sandbox it, it could be smart. These things are figureoutable now. Furthermore, again, we'll hit this at the end, but you're hosting a summit. There's just so much more in AI to cover. It's called the AI Advantage Summit. So, you know, in. I think the big idea makes me like, the conclusion of this episode is like, okay, there's a lot happening here. It's very exciting. I still have more questions. I need to get educated. And you're hosting a three day event with Tony Robbins and so we'll tell more details about that later. But it's called the AI Advantage Summit and we'll link to that in the show notes. And so you can do this. There's some downsides, the tech side, even on this very recording, but it is so powerful and we can leave this for another time. You have a whole packaging thing that you do, but you basically revealed your playbook for research and not just at a shallow level, but for having ratings of articles, criteria, things that fit your taste, curating Twitter accounts and all that stuff. So now you can just talk to it. And it keeps. It's an engine for your channel because it is leaking you the best stories and allowing you to jump on them quickly. And there's the viral hack for everybody.
- [42:34]
C
Yeah, I had something really good actually here for you and everybody watching this video.
- [42:40]
B
Break it down.
- [42:41]
C
There's one thing that I really noticed with like all these open claws and this, you know, there's going to be some guy in the comments is going to be like, oh, actually, actually Igor, that's not entirely true. Generally speaking, though, generally speaking, the stuff that works well in ChatGPT works well in here. So stuff that you could already make work in ChatGPT is also going to work well. Like ChatGPT was already good at like doing research and filtering and using context. It works in here. Right? And again, not to say there's no exceptions, but like, generally speaking, if you have something that already worked in chat, you can bring it into here and kind of automate the heck out of it. Whereas if you're like, oh, I wanted to find me a girlfriend, like, okay, good for you. But like, that doesn't work in chat, it's not going to work in here.
- [43:28]
B
Right, I gotcha. Okay. And so kind of the final section is the cool thing that anybody listening to this. If you don't want to set up all of the tech headache and get a Mac mini, the final tips you would have. Can I just Do I go chat GPT projects? Which LLM should I use? Do I need to get this Claude cowork thing? If I want to up my game and create an edge with AI without setting up openclaw, what would you recommend?
- [43:58]
C
I think there's one app at this level three that kind of currently in March and April 2026 trumps them all. And it's Claude cowork. It's just the sweet spot of user friendliness. You just download a desktop app on a Mac or on a Windows and you kind of just click buttons. No Mac minis, no command lined interfaces. It kind of just looks like the desktop app of Claude, but it can also organize your downloads folder and create 20 new folders and look at all the files and put them in there. It can also link to an email account and remote control your browser and send an email. Like it can do things and it's getting more capable by the day. Like Anthropic is really trying to kill openclaw through all the updates they're shipping. It's insane. Over the last month they shipped like 25 updates. Almost every day there's something coming out and that's the user friend. That's what I would recommend.
- [45:00]
B
Is it have additional cost? I pay 20 bucks a month for Claude right now.
- [45:03]
C
Included. Included. So you need a paid plan but on the $20 plan you already have access to it. It's just a different tab on the desktop app of cloth.
- [45:10]
B
And then does it cap out credits wise as it would?
- [45:13]
C
Yes.
- [45:14]
B
And so got it. And so. And do you think it's more cost effective or basically the same of you know what you're paying if it's 100 to $150 a month to run what you're running on Open Claw to do your research and do your packaging.
- [45:29]
C
Yeah.
- [45:30]
B
So is it going to be cheaper or way cheaper?
- [45:33]
C
Way cheaper. So usually the calculation is, you know, it varies but roughly it's like by a factor of 10 you're going to be saving on those subscriptions if you're like really pushing them to the limit. And also what I should add is that budget that I outlined, 150 bucks, that's just for the jobs that are running. When I go in and tell them like hey, do this and this for me, that's all extra. That's I counted as experimental tokens. And, you know, I mean, honestly, just. Just in the first month on experimental tokens, I spent. I think I spent like $4,000, to be honest, like, figuring this stuff out and trying that. So that's. I guess that's the value you get out of this video. That research workflow cost me thousands to put together. It might look simple now. It's like, duh, but like hooking it up, using the notion as the source of truth. Having that velocity field actually work, having a deduplication in there where it then adds duplicates into an existing entry rather than to a new one. Having the taste file really dialed in. This took a while, and I experimented with other stuff too. It wasn't just this tool, but you kind of get into it and all of a sudden it's like, oh, I just added $2,000, and it's gone again. I mean, as we had it during
- [46:42]
B
the session, it's like, igor, that's why I love you. And what you're doing, especially with your YouTube channel and the events you're hosting, is you're saving us time and money and you're doing the research and the heavy lifting for us so we can follow in your footsteps. So, yeah, there's two paths really. From here is actually really consider looking at Claude coworker. If you already have a cloud account, you could just start tapping into the benefit there. The insights is replay this episode. I know it's very geeky, but even your prompting will improve after hanging out with Igor so that you're prompting even how you're doing. Chat gbt, if that's your main LLM, the projects you're doing, or even create your own custom GPTs. I know that's next level. But here's the thing. If you're feeling overwhelmed by AI, then Igor is hosting a summit with Tony Robbins, Dean Graziosi, and some incredible speakers. If you're watching the video version, you can see on screen just the lineup. Three days, totally free. If you're listening on audio, you could type in learnaisummit.com to get to the event. You could click the show notes on the YouTube version or the audio version. Get registered for the AI Advantage Summit. That's a free event. We watched the last one. I know you guys, you're gonna wait a whole year to do this, but you did it like a few months later because things are moving so fast and there's so many updates people need and you don't want to get left behind in AI and you Also want to do it in a stress free way. So we were actually on the last one, we jumped into Yalls paid community. Brian who's like leading AI at Think Media, we're just trying to keep up and so we're super grateful for you to be the expert that we're learning from as well as your whole team and everything like that. So. Learnaisummit.com Igor Final Thoughts of. Yes, there's this whole tech side, but why does an event like this matter now?
- [48:32]
C
Oh my. It's just moving so fast and all of the media is hyping it up, all the tech companies are hyping everything up and there's just all this overwhelm and this, this velocity of technological development. It's very real and people feel it. They feel kind of the tightness in their chest, they feel the overwhelm. They feel their peers, you know, getting ahead and they're like not doing the latest open claw thing. And I want to be very clear, this summit is not designed for the people who have, you know, 5,000, 10,000 hours and are vibe coding their own apps and running their own open class. This Summit is for 80% of people who are just like, this is too much. But here's the cool thing, here's the cool thing. And this is people, even at this level, they don't have the level of depth of context to make certain workflows work. Like this, right? Like cool. If you have page long DNA files along with everything you do, good for you. But practically most people don't, even if they're at this level three already. That's why we turn all of this madness that AI can be into a simple to follow roadmap. We outline it in the summit. We hit it from different levels. You have different speakers speaking from their experiences, sharing what works for them and a community of incredible people being there and just sharing this unique moment that AI is. And ultimately, ultimately what the summit does is it gives you clarity. It gives you, the goal is to give you clarity on how you can use this technology to get ahead. Not just catch up, but get ahead yourself to get the time back that this technology can give you and just increase the leverage that you already have in your life. But we're going to give you more levers. We're going to show you what really are the difference makers. We're going to do it in a structured MANNER. It's over three days, March, April 23rd through April 25th. It's completely free now. Kind of free. Completely free. And I Would love to see you there. We're going to show you the roadmap and we're going to be talking about everything relating to these levels and how to progress with using AI.
- [50:29]
B
I love it. And so Think Media Podcast A couple things if you got value out of the episode, of course, like rate, share, review. You can also check out Igor and his channel, the AI Advantage that'll be linked up in the show notes. We have a part one of this conversation where he also talks about how he turns those news stories into videos that could be posted within two hours of a news story being broken. So just if you didn't listen to that, definitely check out that episode.
- [50:57]
C
Less Geeky. That one's less geeky.
- [51:00]
B
Yes, less geeky. And talks about YouTube growth as well, how he grew over 400,000 subs. So a lot of great resources for you, but if there's only one thing you remember, it's don't miss the AI Advantage Summit. I'm going to send a bunch of our team members just to be taking notes as well because we're trying to be on the edge of continuing to learn about AI but doing it in a stress free way. And so all of that is linked in the show notes. Before you go, check out the show notes on the podcast, audio or video. Or you can just go to learnai summit.com to get registered for Totally for free. Igor, I'm excited. Thanks for coming back on the Fake Media podcast and I'm excited for future episodes because you're always dropping fire here. Think Media Podcast. I'm Sean Cannell, your guide to building a profitable YouTube channel and I can't wait to connect with you in a future episode.