Episode Summary
I'm probably the most anti-hype AI guy that probably exists out there, right? >> Because now I can make a [music] few mistakes, but it doesn't cost me anything. >> You don't need to run Fable 5 to draft an email to your boss. Anyone can build any app in a matter of seconds with how good AI models are. >> That doesn't mean they're going to resonate. It doesn't mean they're going to work. >> Just tell Claude to do your SEO. Just tell Claude to run a paid marketing campaign. But if you don't have the subject matter expertise, that's not going to amount to anything or move the needle. [music] as a non-technical guy that's killing it with AI, what like what gave you the confidence to say you could even do this? Like what makes you think that that you're even capable of using these tools that are so advanced that you know uh everything at your wildest dreams, but you have to know what you're doing and you know, etc. Like what made you think you were even capable of this? >> I'll be honest, bro. I think a lot of it comes down to just my willingness to learn and dive in. And you know, we'll just get into clawed code here. That's kind of the hot topic now in the AI world. When you hear the word clawed code, I think it came out 2024, maybe 2025, somewhere in that realm. Your brain immediately goes, as a non-technical marketer, your brain immediately goes to coding, programming, terminal, and we just want to dismiss it as something that's advanced, and that's for programmers. But when you actually dive into it, claude code is a very bad branding issue, right? So, it should be called Claude Chat or, you know, Claude uh design or they have a Claude design, but it should be rebranded to something else, right? Because all it is is it's an AI coding agent where you are essentially speaking in plain English and then it's doing the coding on the back end, but in a nice interface that's presentable to marketers, content creators, or really anyone that's non-technical. I will say the biggest moat Ryan now especially in 2026 and beyond it's not building anymore because anyone can build a SAS tool anyone can build any app in a matter of seconds with how good AI models are. So the ultimate modes are subject matter expertise, knowing what the hell you have to do and also distribution, understanding how to sell whatever you build, right? So for me, my background is in marketing. I have over 10 years of experience in aspects like SEO, paid search, email, and other facets of marketing. And at first, I thought that was a disadvantage because I did not come from a technical background. But funny how things work out. That's actually my biggest advantage now because everywhere on the internet it's all the advice you see is just tell Claude to do your SEO, just tell Claude to run a paid marketing campaign. But if you don't have the subject matter expertise, that's not going to amount to anything or move the needle. >> I was playing around with mostly from an exploratory standpoint like um I have built a few things that I use on a daily basis um my website included, but I've built a lot of things and then destroyed them. And one of the things that I wanted to try because I was I saw somebody put out, you know, a thousand UGC variation um uh uh reels in 15 minutes using, you know, this skill and Claude and a Higsfield MCP. Okay, great. Okay. So, I literally walk through verbatim what this guy says to do. >> And yes, I got a thousand videos out the back end. there wasn't a thousand. It was like 200. Uh but which is still a lot. That being said, garbage nonsense. It It wasn't nearly as easy. Um there were like three steps that he didn't that that Claude had to explain to me that he didn't include. You know, long story short, this is a much more intense detail. Like I don't know what a UGC character is supposed to say in order to drive, you know, demand. Like, so, so essentially, even though yes, could I get the videos out? To your point, I could I could get the videos out, but that doesn't mean they're going to resonate, it doesn't mean they're going to work. It doesn't mean I still there's like 15 other things I need to do in order to use those UGC videos to actually drive demand in. So to your point, I think this this idea that somehow, you know, all of this, we'll call it white collar or knowledge work information or expertise that we've developed somehow becomes useless in a world with AI to me is one of the biggest nonsensical misinformation plays. And to your point, just just grifter talking points that exist on the internet right now. >> Yeah. And I would argue that before December 2025 when Opus 4.5 came out, that was kind of the turning point that me and a lot of others in the space really pinpoint to as kind of that breakthrough moment where before building was definitely a moat because the models weren't good enough to build these sophisticated SAS tools or anything else going on. But Opus 4.5, fast forward to Fable now and Opus 4.8 as we're talking, there is absolutely zero mo in building, right? You have to understand what actually goes into it and provide subject matter expertise with skill markdown files and other context to direct these AI agents to produce something meaningful. >> Do you think the moat now is token cost? >> Yes and no. You know that's a bigger conversation because I think we're going to see a massive shift towards open-source AI models here and we're already seeing this right with Fable being pulled and you know now OpenAI had GPT 5.6 6 that had to go through the government first before we could get access to it. And so what's going to happen is as these big AI companies like Enthropic or OpenAI, they keep restricting access to the average pe average person like me or you. Well, guess what? China's going to come out with DeepSeek version 10 or Quen or you know GLM 5.2 was the hot one here recently, right? That are 5 10x cheaper but can produce similar outputs. And so that's why OpenAI and Enthropic are kind of holding off on going public because they know these AI Chinese companies can come in and duplicate or replicate their models like we saw Deepseek do early in 2025 and sell it for a tenth of the price. I've been playing around with GLM 5.2. I downloaded uh their version of codec which is called zcode and I just started doing a few like simple tasks simple kind of uh mostly I started with debugging just to see like what it would look like. So I said hey you know I for purposes of both the project and learning as well as there were things I wanted to do. I tore my website down off of WordPress and rebuilt it from scratch using claw code. And I said I was like okay well let me let me take GLM 5.2 2 and let's just run it through that codebase and just just find bugs. We're not fixing anything yet. We're just finding bugs and and I did the same exact thing with a fresh instance of uh uh Opus 4.8, right? And just to see compared what did they find? And again, non-technical, but my my examination was that it was almost indistinguishable. They basically found using different words and different order. They basically found a lot of the similar things that would need to be fixed except the difference was I had to pay $7.25 to run that debugging session with Claude Opus and I paid about 27 with GLN 5.2. And I think that to me was an enormous eye openener which you know from the last couple weeks in so much as well if if I do maybe a little better job upfront with planning with prep and as you said skill design which I want to get into that concept with you um in uh in a couple minutes does the slight and we're talk you know to most users minuscule difference in intelligence between something that's costing me $7 and something that's costing me 27. Is it worth just starting to learn and build? Because now I can make a few mistakes, but it doesn't cost me anything. I can work on a few side projects and see where they go and I'm not coming out of my pocket for, you know, a couple hundred or a thousand or more to put that in in play. And that to me was like, we're in a in completely different world here. And all the leverage that the two big frontier models had is gone. At least in my perspective. >> Yeah. And something, you know, on your point there, something for the audience to understand is that I would argue that models like Opus 4.8 or Fable or whatever mythos, whatever other sophisticated frontier model that comes out, I would argue that that is actually overkill and a nuclear bomb I call it for 99% of knowledge work, right? You don't need to run Fable 5 to draft an email to your boss. You don't need to run Fable 5 to fine-tune an article or a blog post trying to rank for SEO, right? Their GLM 5.2 2 and other open source models have caught up to these frontier models. Am I saying that they're as good as Fable or Opus 4.8? I would argue for my work today, probably not. But they're just about there and they're only going to keep getting better because you're telling me that, you know, there's no insiders at OpenAI or Anthropic who are reporting back to these other open- source companies and they're just it's this giant game of cat and mouse where the frontier models come out with updates and better models and then the open- source companies come out and just update their models based on what you know Enthropic and Open AI are continuing to do on their side. So, I don't know how this is all going to play out. I think personally they're going to try to ban open source, but as we've seen in the past, what happens, Ryan, users always find workarounds to everything. >> Yeah, I I agree. I think that the lobbying, particularly that Enthropic has done, they got a lot of politicians in their pocket and they're going to come after these open source models for sure. They're going to make the case that China is stealing this or that. And and this isn't necessarily an issue for most everyday users and probably most of the people listening to this, but if I'm if I'm a large enterprise, do I really want to be running my stuff through Claude or OpenAI who have already shown that they once they get enough information, they will spin up a new competing product and not even think twice about it? I mean, Claw Design puts Canva, Figma, all these businesses. You've seen their their valuations have dropped to the floor. Uh, you have uh uh OpenAI comes out with a finance product that now competes with with a you can essentially do everything up almost to like pure accounting with it. Um, so now like Fresh Books and these things, you know, are are maybe not ready to be replaced yet, but you can see it on the horizon. And you don't see any of that with the open source models. And the other thing that I think is interesting that that I think is a nuance that will be lost on our political class, but is very and I and I'd love to know if you're playing with this is the idea of forking and and running it on a local running that on a local machine where now you're using the model, but the model is not speaking to any type of cloud system where it's all contained in house and you can still run it for just as cheap and and now you own all of it and no nothing's leaking and it's only getting smarter to you. Have you played around with local models? Are you running anything on any of your own hardware? >> So, I have a Mac Mini and I've installed LM Studio and have played around with it a little bit, but I'll be honest, unless you have like some advanced Nvidia device or like a Mac Studio, it's going to be very difficult to do the local running LLMs at scale, right? So, I just want to be honest here. If you're going to try to dabble in open- source models, I would say Open Router is probably a really good resource right now while it's still available, right? fingers crossed because they are just kind of the middleman where you just give it one API key and then you can install you know that Zcoding app or open code right is another alternative to claude code or codeex and then you can route everything through open router where if you want to try GLM 5.2 or deepseeek's latest model or quen or you know miniax or insert new open- source model it's all routed through open router's one API key so I think that's the best way to probably test these open source models right now. >> Yeah. All right. Well, I don't want to go too high level for the audience too quick. I just um I had a few things on my brain and I'm obviously nerding on this uh as well. So, I was I wanted to get your takes on these things, but I'd like to pull us back to like to where to where we started. And let's say I'm I'm I've played around a little bit. Yeah, maybe I have the pro version to, you know, the paid version to uh OpenAI or something or or Claude and I've played around a little, but I want to go deeper, but but I don't know where to start. Like, how does someone who wants to start doing some of the things that you're going to talk about as we go, like just level set for the starting point for them? Like, is it downloading the the Claw desktop app? Is it playing like how does someone start to learn this the the the necessary skills to to to start to use these products and you know for marketing in particular in sales um without feeling they need to go too deep or or learn some sort of intrinsic knowledge that maybe they just have no interest in. >> The first thing I would say before you go down the endless amount of AI rabbit holes out there is I would first distinguish what are the top tasks that are the biggest bottlenecks in my business. Right? So, what's costing me the most amount of time and what's costing me the most amount of money? Once you establish those top three to five things, then that helps determine your answer going from there versus should I use chat GBT, should I use Claude, right? That is the wrong framing for all of this, right? But if we want to take it, you know, a step deeper here of just you're on the paid plan of OpenAI, you're on the paid plan of Claude, I would say the next step is I would really encourage people to try Claude Code or Codeex. And in terms of how to use this, okay, it does require a paid plan in order to use one each one of these things. But how I do it is I install what's called an IDE called Visual Studio Code. This is owned by Microsoft. Alternatives to this are Cursor, which has just got bought out by SpaceX, and then also Google's anti-gravity or kind of those popular IDE right now. And the reason why I use an IDE, if you don't know what an IDE is, I think it stands for like idle development environment is kind of the acronym. It is a wrapper, a userfriendly wrapper versus pulling up just a terminal and getting lost in the terminal. So it makes your life a lot easier where you can just have a nice visual of folders and files. And within Visual Studio Code, you can install official extensions, whether that's the Claude Code extension, the Codeex extension. I actually use Claude Code and Codeex inside Visual Studio Code at once. And the benefit of using Visual Studio Code is that let's say Codeex goes away, let's say Claude Code goes away, I still have all the folders, files, skill markdown files inside that one system. So it's a plug-and-play situation, right? where I can install another extension that comes around or I can even pull up the terminal inside VS Code and install something through there and just go right where I left off with all the folders and files that I already had. And the reason that this is so important is because you're not locked in to one ecosystem. And the reason I like VS Code over some of those other alternatives, Cursor, I think, is more paytoplay. So VS Code's completely free to use. I think Cursor is a good product though, especially for more technical developers. And I don't know about you, Ryan, but Google's anti-gravity, I've heard it's a good product. I just do not trust them, right? Because Google's incentivized to nerf every other AI model that you use inside anti-gravity and just push Gemini models versus Visual Studio Code's kind of more of a I would say freetoplay environment where you can just plug and play different models and not really worry more about the bias. But if you have any like follow-up questions, that's kind of high level of how I'm running things. >> No, I I want to dig into the ID. So, so one I agree with you on uh Google especially because their models are starting to fall behind and uh actually I was listening to I think it may even been the All-In podcast. I'm not I'm not sure. Uh but I was listening to a podcast they were talking about this exact topic and how you know basically the question that was asked was how soon until Google catches up because they've fallen behind in terms of mile and the answer to the question I thought was really interesting was this particular person and I I I think it was the all-in so it may have been Freeberg I'm not sure I don't want to misquote him um but he said basically they're not going to catch up and the reason is they're too distracted they're too big uh they're too bureaucratic and they're too uh uh Google ecosystem focused. Exactly what you said. So, I've I've actually moved away from the Gemini models and and all that kind of stuff um myself and to your point. So, I've been using the terminal and I like the terminal. I've learned how to use it, but man, for someone who I there are a lot of drawbacks to using the terminal uh directly in particular, what you just said and what I'm really interested in is is there's no visual way of seeing what you've already put in. Like every once in a while, I have to like go back and go just tell me all the skills that I' that I've added to this thing, you know, and then it'll pull up the list and I can see them, but like there's nowhere for me to get that get there easy. So, um, Cursor, I think a lot of people have probably heard of Cursor, but you know, you're looking at 50 to 60 bucks before any model costs, um, or token costs. Um, so, so VS Code free product allows me to get the visual nature. Um, you know, I get in there and like what am I actually doing? So, let's say I I download visual code and I add cloud code. I got I think this >> Yeah. like what what what do I do when I'm in there? Like can I create emails? Am I does it am I have to be building an app? Like I think a lot of people feel like the clawed chat is for is for like my normal stuff and claw code is for like developers and and you know I don't think that could be more wrong. So like what are we doing when we're in there? >> So I just screen shared here. I hope you can see this. Okay. But just to give kind of a better overview of versus me just trying to explain this via words is going to be very difficult. Um but what you're doing inside here you'll see I have the claude code extension. You can actually use the terminal inside Visual Studio Code if you really want to, right? But the benefit of this is you'll notice on the left hand side, and again, I'm not the poster child for, you know, file organization here by any means, but on the left hand side, what you'll notice is I have all sorts of folders and files and, you know, cron jobs and all sorts of other stuff going on here that make my life so much easier versus, like you alluded to the terminal earlier, you don't have this nice looking interface. And you can customize this for different colors and icons and pictures however you want. But one thing I would note about the skill markdown files that's really helpful. If I zoom in here, you'll see I've kind of put all my different skill markdown files into different folders by category. So image skills, marketing skills, uh YouTube skills, system skills, like a skill creator skill, or an MCP setup skill, right, would be examples of that. And on the topic of skills here, one thing I would say and just kind of for your audience who doesn't really know what a skill is, you can think of a skill as kind of a standard operating procedure or SOP for an AI agent or coding agent like Claude code to follow a particular task correctly with best practices as you define in this markdown file. So it's just a markdown file, right? And so for this instance, I would also say that you should have one skill markdown file per one specific task. I'm not saying like for SEO you should have one SEO skill and then fill it with a thousand lines of text and expect that one skill to do everything for SEO. You need to be very granular. So this means a keyword research skill, a local SEO skill, a local SEO designer skill, um you know, an SEO blog post skill, an SEO audit skill, right? Notice how I'm getting granular and getting more in the weeds of certain aspects of SEO versus just one SEO skill. That's what I found yields the best results is when you get very specific with these types of skill markdown files. >> One thing I think it's hard for people to wrap their head around when they're new to this type of stuff is that the AI at a certain point the AI is going to get confused. And it doesn't matter how detailed you are. If you, like you said, if you have a 5,000line uh skill with seven different functions that it needs to perform, even if they're well broken out and well ordered, uh, a lot of times the AI will skim to operate fast and it will miss words, it will miss things, it will make a decision to skip a function for some reason or skip a step. And that becomes less and less the case the more concise and direct and singularly focused these things are guys. So when you're thinking about this what Ryan just said is I I have a found I I made this mistake. I built this huge skill for for for writing um uh my newsletter, right? This huge newsletter skill and it had ears to go out and do, you know, last 30 days keyword, find out relevant stories, rank those stories, you know, all all the way down. And I was getting different output every single time until I said, "Okay, I have like five things I want to do with the newsletter. Let's break them up all the way to I have one I have one skill that is a postnewsletter committee audit and then a separate skill that runs like AI writing anti I call antiatterns is the skill name and it basically has like it it has 200 plus AI writing pattern now those used to be in the same skill and and I I become much more uh those skills have been become much more effective when I split them out and made them separate things that I just run chronologically. Um, so it's like singular focus, singular idea, and I love the word you use, granular, is it seems to absolutely be the solution when we're building these things. >> You mentioned the anti- skill, right? I actually have a similar one called anti-slop where it gets rid of all those AI slop words, right? Robust, delve, if not this, then that, right? The m dashes, the emoji. So every time I'm going through writing that's actually in my rules here is that it goes through the anti-slop and then it does the checks and balances to make sure that whenever the final output is approved that it went ahead and passed that. One other thing I would mention too Ryan is that I actually have a quote unquote second brain or a context memory system inside clawed code. Now you can use Obsidian, you can use Superbase. There's a lot of alternatives and solutions out there. I actually vive coded my own version of Obsidian and left it in claw code and then it does a daily backup to Google Drive, but that's a whole other conversation here. But the idea is is that every single conversation, you'll notice I set this up going back to March. Every single chat is automatically saved as a markdown file in this context folder. And if I want to add other things like after this podcast episode's out, I'm going to dump this in my context folder, right? where it has this endless list of context where if I ever need to pull something, you know, it has this endless library of all the context of things that I've done, chats that I've had. So that way it not only remembers this and knows for future reference, but it's a continuous feedback loop to understand, you know, what I'm looking for. Is this good? Is it not? So that's the other thing I would recommend your audience does is make sure that you have some sort of vault to save all this context going forward. >> Oh my gosh, dude. I I could not agree with you more. So, I do use obsidian and uh I I use I have a open claw um that I use as well. So, open claw is kind of like my blunt force object and then you know I have like things set up around it and I put into my Obsidian every blog post I've ever written all the way back to like 2014. I have the transcription of every podcast I've ever done uh both for this show or for shows I've been on. like you said, like you just said, right? I then had it tap into my X feed and my LinkedIn feed. So, every X post I do and every LinkedIn post I make also gets categorized in there. And then one of the things that I did that has changed that has really changed the AI output writing is uh this is going to sound nerdy, but I'm a nerd. Uh, I had a Friday where uh I'm divorced. So, I had a Friday where both my kids were with their mom and the uh the woman that I've been that I that I'm seeing, my my girlfriend, she was out of town. So, I was all by myself on a Friday night. So, like any good nerd, what I did was I had my open claw basically interview me from birth. And literally, it took six hours and four beers and and we went through and it just like then what happened? Oh, give me more detail on this. Why did you make that decision? Why do you think this happened? What? How are you successful here? Lit. I mean, dude, it was six hours. And I took that entire file. I had it chop it up into like uh epics of my life and then um and tag it and then put that in there as well. So now, not only is it pulling from learning off stuff that I had previously written, it's literally pulling from my life story. So it can inject anecdotes from my life into the writing or or stories into the writing that you know seemingly only I would know. And my point in saying that is when you combine um like I I I think it's like you need a a a skill for the basic buildout of the post, you know, and then you have your inputs to get you there. Um I really like this skill that I built and I'm interested in your take. built a a writing committee and it's um Alex Hermoszi, Cody Cody Sanchez, Robert Green, and Ralph Ralph Waldo Emerson. So, it's like make sure it's concise and to the point is basically Hermosy's thing. Uh Cody Sanchez is make sure it's either a contrarian or original idea or something that hasn't just been regurgitated a thousand times. Robert Green is make sure it's the uh as well researched as it possibly can be. And then Ralph Older Emerson is basically like does it sound nice? You know what I mean? Is the pros there. And so it's like initial structure build out, run it through the committee, run it through Annie Patterns, now go in and inject personal narrative, personal story, etc. in the place it needs to be. And it's like those are four different skills to write one newsletter, right? And that's the way I set it up. So, I'm not saying that's the best way, but like to to kind of hammering on your point of being granular and specific with what you want in these things. That's four different skills to write one newsletter article that I run through every single time. >> I love that. And something similar, we call this kind of red teaming, right? That's kind of a more technical term when it's reviewing code or whatnot. But something that I've actually done on to your point is I have what's called an agents MD. You know, I'm sure your audience might be familiar with a claw MD, right? That's kind of the brain or the operation of a clawed code setup. The reason that I have an agents MD is because I'm also using codecs in tandem with clawed code and it's more receptive to an agents markdown file versus the way a claw MD is structured if that makes sense. Right? And so the point here is that in my agents MD, one of the rules that I have somewhere in this file, I'm probably not going to be able to find it as I scroll through here, is that every time I go through and build something, whether that's like an article or that's code or I'm, you know, vibe coding something, the rules in this agent MD tell it to red team with codeex to go through and criticize something, find things that are broken, and then it will provide feedback because GPT 5.5 offers a different and unique perspective than Opus 4.8. and it can often catch some things that Opus misses or drops the ball in some instances, right? And so that's a good little tip here. I'd recommend like the AI council or red teaming situation where you can combine cloud code and codeex to kind of attack multiple things at once. And if I wanted to throw Gemini in the mix here and route something through open router or have other open- source models take a look at things, you can add as many models to this AI council or critiquing workflow that you want. I just keep it relatively simple with cloud code and codecs. >> Yeah. Yeah. There's a diminished return at a certain point, but like Yeah. No, that makes sense. And so maybe maybe talk to the audience a little bit about model selection in so much as like like open a what you're going to get from open AI and Claude is going to be different. It's going to be different from what you get from Grock, from Gemini, from each one of these things. And like are you so I had been toying with the idea of of building in another skill similar to what you did with agents MD with Grock to make to to to make sure what I'm saying is accurate like as a uh go through and hey I want you know cuz because you can you know Grock will actually look at community notes etc. So if someone if it it's looking at information but then that has been debunked or you know uh um maybe the point needed to be narrowed a little bit etc. like it can go in. So when you're thinking about this you know like how much time and thought do you put into model selection? Like was it just started with Claude and that's great and then it went here or are you examining what the expertise is perceived to be from these models and piecing them together in a thoughtful way and and do you think there's an actual return to that and you know and and how deep should you go? >> Yeah, before I think it used to matter a lot more but I think the models are a lot more sophisticated now than they were a year, two or three years ago. But for most work, Ryan, I'll be honest, I mostly stick to Opus by default. And then sometimes I'll throw in Sonnet 5. If I'm doing less token intensive tasks, like if I'm building websites, building landing pages, or a lot of times even general marketing copy, I'll leave it on Opus by default. But Sonnet 5, they just upgraded from like 4.6 or 4.7 to 5 is a pretty significant upgrade there. So I mostly stick with Claude models. I've seen those produce better outputs from a marketing and content perspective. Um but I I will say GPT 5.5 uh on medium or high reasoning GPT image 2 which is the image model from OpenAI I found is the current best AI image model. So a lot of times when I'm going through and generating images obviously you can't generate images with clawed models. If I'm writing a blog post, one portion of that loop in my actual workflow is I say call the codec CLI to generate a featured image or generate any other inbody images in that blog post if it makes sense, right? And so in my blog post and I'm doing for various clients on various sites, that one step that calls codeex actually has it generate the image. And the other thing I would say about Codex that's good for people to think about, it's a really good insurance plan when Claude code goes down or you run out of usage on your Claude plan, right? For a $20 a month plan with Codeex and ChatGpt Plus, you actually get a lot more usage than you would. I would even argue on a $100 a month Claude Max plan if you're just running Opus 247. But I the other thing I would say too, Grock definitely the most unbiased model. You alluded to that earlier. So that's good for uncensored outputs. The one thing too for people to know is that Gemini models, yes, they suck. They're not as advanced now compared to enthropic or OpenAI models, but where Gemini models actually still shine is I refer to these as workhorse models where if you're doing something like scraping a PDF that's very token intensive. The biggest benefit of Gemini models is their massive massive context window. So scraping large files, you know, going through a massive YouTube video or YouTube transcript are two examples that I do all the time. and they're very cheap, right? So using Gemini models for those more workhorseish tasks like scraping things for instance, PDFs, videos, I think that's still a good use case for Gemini. Honestly, >> I love that example because I think what you're showing everyone is and I and I think this is an important point and push back if you if you disagree is that we're still very much in like a wild west time. Like there is no absolute here. There's no absolute right answer. And I think this is, you know, when we were in the, I guess we'll call it the green room before we went live here. Um, you know, you said that, you know, one of the things that frustrates you the most about where we're at are these like hype grifters. And it's it's this constant, you know, you can make all your wildest dreams come true if you just do this one thing. And I my point in saying that is like maybe that's true today. Maybe, right? But ultimately like you kind of have to f AFO like you have to play around and say, "Hey, I I know that image uh uh uh image gen 2 from from OpenAI right now is quote unquote the best image model, but you know I the way I prompt out my images, Nano Banana 2 still produces the great like go ahead use it." Like like you don't you don't constantly have to be moving to the best thing. It's about figuring out what set of of tools from that are at our disposal, open source, frontier, different companies, etc. get you to the result you need to do and then become more and more sophisticated in how you use that set of tools. You don't you don't have to be constantly chasing the next best model. >> Exactly. That's what the builders and the AI beasts that I call it are doing, right? They have the systems. They have the harness where once you have the systems harness and all the optimized skill markdown files, it's a plug-and-play situation of what's the latest and greatest model for this task. Okay, insert that. I don't care what it is. Just do the job as best as possible and ideally as cost and token efficient as possible as well, right? So, if you have the harness and the systems and the skill markdown files, it really doesn't matter if Opus 4.6 went to 4.7 where if you go on YouTube, every face is like this, right? telling you to drop what you're doing and oh my god, check out this model, give me views, give me sponsors, blah blah blah, right? No one cares. The builders and the actual AI beasts, they are tuning out all of that garbage while the top offunnel consumers continue to chase all of this stuff and then wonder why they're behind in the scheme of things. When you sit down and you're working with someone and you're maybe mapping out, they're they're let's say they're basically starting from scratch, right? And they come to you and they're like, "Hey, I I I want to take my marketing to the next level. I know AI can get there. Uh can help me get there. Like what does the planning phase look like? Like what does someone have to start to think about and and like right like like obviously I have the four skills that I just talked about. You have even more and and your setup just from looking at it is more sophisticated than mine which is fantastic. Although I do want to talk a little bit about your thoughts on open claw and hermes but we can get there. Like what what is the starting spot? Should I be before I ever touch the computer? Should I be writing a plan down? Should I be like, "How do I get to actually start building?" Because, and not a lot of people come to me because I don't I'm not a AI fixer. That's not, you know, that's not what I do. But I do get a lot of questions just because I use it. I talk about it on the show. And a lot of the people who I do talk to or maybe just try to give some light advice to, it's usually they went in full boore into something, went all the way down this path and then figured out they have no idea where they actually are. the output isn't what they want and they don't know how to get back to. So, what are some of those steps that you can do at the beginning to sidestep finding yourself down some path where you've spent a bunch of money, you haven't really gotten anywhere that you want to go and now you're just frustrated by the output. >> The first thing I would say, and I think I said this before, is you first need to determine, you can write this down on a piece of paper. What are the biggest bottlenecks that you're dealing with right now? Whether that's in your business or maybe you're a nineto-ive employee, right? And typically, it's one of two things. It's what is taking the most time. What's eating 5, 10, 15 hours of my week that I know I could use AI or automations to come in and replace? Or what is costing me the most money? Maybe it's this 100 or $200, $500 a month SAS tool that's not really doesn't have a moat and not really moving the needle. How can I use AI to replace that? Right? Those are two examples. You first need to figure out what you're doing. And then after that, it goes back to what we said about context, right? Make sure you're building up a folder of context, whether that is writing samples, brand guides, other assets. That way, AI has something to pull from versus just going to generic claude or generic Chad GPT and saying, "Run my SEO, write me a blog post, build me a website, build me an app with zero context." And what do you get back? You get what we call the popular term AI slop because it has absolutely zero context to pull from. Those would be the top two things I would tell the audience. understand what you're trying to do. So, formulate a strategy first and then figure out the systems, the skill markdown files and the context after that and then we can start going to AI once you have those two things and your results will be 10x, 50x, 100x better than if you just pull up claude and say do my SEO, right? But that's the advice out there because unfortunately that tends to go viral versus what actually moves the needle in the real world. >> Yeah. You know what's funny is um like all those PDFs that I downloaded from different like courses or you know the $47 thing that catches you at 11 p.m. on Instagram that you hate that you bought but you did but has some valuable information in it but it's like 157 pages. You're never going to read it because it's a PDF. Like now there's a use for those. Now, you can take like, you know, I I there was this one um guy and it was all about uh storytelling and email and I really liked this guy's philosophy and he had this but again it was a 167page PDF and it's like I'm never going to print that out and read it. I'm never going to read on my computer but there's really valuable information. You take that PDF, you stick it in a uh as a a file in just in a project folder even and now you can have now now your your claude in when you work inside that project is going to reference that document if that's your your email newsletter, you know, builder piece and all that reference material, all those SOPs that you built that you're like, why am I doing this in your business? those are like prime candidates to potentially be turned into skills or uh build a build a project around it, you know, like I couldn't believe I had one guy who told me quote unquote he's a power user power user of Chad GBT and I said okay well what's what's the problem and he's like I use it every day all day but you know it never seems to get smarter it never gets better and I was like I kind of had a feeling what was the problem he had never touched project he had never thought about a project or a folder depending on which platform you're in like He had never even considered that option. I'm like, dude, you are literally he's like, I got to upload like seven documents every time just to give it the context. I'm like, but there's a better way. Like there's a better way, you know? So, it's like it so it's like, okay, so I know what my problems are, right? That you said I have my context and then it's like is the next step starting to almost break down a system or a workflow you identified into its individual chunks? Is that kind of the next step? >> Yeah. And if you're brand new to AI, honestly, I would just start with Claude the web app or chat GPT the web app just to get your feet wet versus diving right into an IDE with Claude Code or Codeex. I would start there first and then once you start to figure that stuff out a little bit, create a project inside Claude so you understand what a customized version of AI looks like or create a GPT if you're using chat GPT so you understand that side of it and then create a skill markdown file from there and then maybe take the leap into a codeex or a claude code situation once you fully understand how to learn the basics of AI first. Right? I'm not saying to jump right into on the deep end to Claude code or codeex if you've never touched claude before. That would be very bad advice, but start small. Start to learn workflows. Start to understand how these things work with context and then move your way into something more sophisticated like a claw code or a codeex. >> And for the skill creation piece, like essentially the all the platforms can build the skill for you, the actual markdown skill file the way it needs to be. It's not like you need to know how to make a markdown file yourself. It's not like you're hand coding this, but so say you and I and and I want you to push back where I'm wrong. I'm kind of laying the scenario for you. So essentially what like let's say uh let's say that uh committee of advisers on that I had where I told you about Hermosi and whatever those personalities like all I did guys so you know is like I I just I basically just told it what I wanted and I and I said hey inter this is what I want to do. Do I want to create a committee that reviews every post for certain characteristics? And and then actually it was Claude that that said, "Hey, can you give me personalities so it could work off of personalities and then I outlined that and I just said I usually whenever I wanted to interview I just say like ask me one question at a time because sometimes it'll hit you with like 11 questions and it's overwhelming or whatever." But and then at the end, you know, now I have this it this well this understanding, you know, the the the AI in this case Claude understood what I was trying to do with the skill and then all I had to do was say Pat, can you package this up into a skill for me? And then the actual skill file it makes for you. So I just kind of wanted to let me know if that's wrong, but I wanted to remove the scary for people because they may not they may be going I don't know how to freaking create a skill file that the AI creates it. You have to give it all the context, understanding, direction, etc. But the actual creation of the skill file, all of these platforms can do for you >> create. Uh, exactly. Right. And the thing I would say first is that Enthropic actually has a skill creator skill by default that you can use for free. Right. So, here's a good example if you're brand new to this. Let's say you want a landing page designer skill. Well, this is what I did when I first started. I found a landing page that I know from someone else that converted very well. And I said, "Use the skill creator skill to make me a landing page designer skill, but here's the reference, and I want you to copy this architecture, this format. It's mobile optimized because I know it converts. But make sure that you use my branding." And then I gave it my website, ryanoer.com for it to scrape. So that way it knows my colors, my typography, my content, my writing style. So, it took that landing page architecture from the high-converting page of someone that I follow that I know does very well, but then it mixed my style into it and then it built that skill. So, it knows how to build a high converting landing page, but make sure you're still using Ryan Dozer's personal brand while you're doing that. That's a very simple example. >> Yeah, I love that example. And then guys, you know, just to kind of finish the story and again, Ryan, push back on me where where you want to here or add context. Like then all you need once the skill is created, then all I need to do is go, you know, hey Claude, um, I have a new product coming out. Here's the product details. Here's the ICP. You know, here's maybe a couple ideas on a premise or a hook. Use the landing and then you literally could just type in slash, you know, landing page creator and then it it does all the work for you. Now it knows what it needs to do. You don't have to retype it. You don't have to resay it. You don't have to add all the context that went into what you want it to look like. It already has all that and you can just at that at that point you could pump out landing pages. You could pump out 100 a day if you needed to because all you don't have to redo all that work. That's that's the beauty of a skill, right? Is not having to redo all of that context work every single time you want to create something. >> You're exactly right. And the benefit of using skill markdown files is that they have a real- time feedback loop. Right. So, let's say I go through a conversation and I give it a bunch of updates on V1 of this landing page where the header is wrong or I actually like the color of that button or, you know, maybe the call to action could be this way or that way. And then once that conversation's done and you like the final output, whether it's V2, V3, V4, you can say, "Okay, now update this skill markdown file based on this conversation that we had." And so that way going forward when you build landing pages, it understands and learns from its mistakes on what happened in the past and you can keep doing this time and time again the more you use these skills. The other point to note about skills, Ryan, is that they're transferable. They're not just for Claude, right? I know Claude skills is kind of a branded thing, but you can use skills with CL codeex. You can use skills with openclaw, with Hermes, with chat GPT, right? you can use skills with any form of AI system which which is why I think it is such a revolutionary thing when they came out. >> Yeah, I I couldn't agree more. And you know, you know, for the for the audience at home, guys, like this is about like obviously Ryan's a marketing guy. Maybe he has some intrinsic knowledge, feelings, expertise around creating landing pages. And could he create a landing page from scratch if he needed to? Most likely. But let's assume Ryan didn't know how to do that. There's nothing that he just explained that you couldn't recreate, right? Find a landing page that you like that knows it works. Tell to give Claude basic instructions that to use that as a reference, basic instructions to use your branding and where to go get that and then go do your thing. Like there's there's nothing in there that you need to know like the golden circle or the F pattern or you know what I mean? Like you don't need to know those things. And then if you and then what I love that you just described because I I didn't I didn't go there and and and I'm so happy you did is that is this idea of it being living and breathing is that let's say there's a new high converting pattern for landing pages that comes up. Well, all you have to do is give your skill that example and say, "Hey, you know, either I want this to be a potential option that you ask me about or this is the way I want them all to look update." And and that thing just grows with you over time. And and now you never you can always be you can always have that repeatable process be up todate in a very easy way. It's not like before where if you if a new uh you know thinking about this in the analog fashion like let's say you had a marketing person in your shop if they didn't understand landing page conversion you just didn't have that ability in your business. You had to go pay somebody thousands of dollars to create that for you. And now with a little bit of forethought and work you can create a repeatable pattern that allows you to do it at scale in a way that was never possible before. >> Yeah. And even before, Ryan, we people would be on GPTs or projects, which are fine, right? They're better than the analog version like you stated. But what's the problem with GPTs or projects, right? They didn't have a real-time feedback loop. So, if you wanted to go back, you would have to update context, you know, edit your custom instructions, edit your memory, right? And then you'd have to keep doing this and it was super super tedious. And if we want to nerd out just for a little bit, there's a guy named Andre Karpathy. I'm sure you're fam


