The 7 Levels of Claude Code & Content (From Slop to Agentic)

CChase AI
Advertising/MarketingSmall Business/StartupsComputing/SoftwareInternet Technology

Transcript

00:00:00"Let's master Clawed Code Marketing."
00:00:02Now, to be totally clear,
00:00:03this isn't gonna be like most Clawed Code Marketing videos.
00:00:07I'm not just gonna be throwing
00:00:0910 million different AI tools your way
00:00:11and saying, "Hey, add these to your stack
00:00:13and it's gonna solve all your problems."
00:00:14And there's two main reasons for that.
00:00:16Number one is if we do that,
00:00:18this video is gonna be outdated in about six hours
00:00:20because the best tool for the job
00:00:22literally feels like it's changing at that rate.
00:00:25And reason number two is because tools aren't your bottleneck.
00:00:29It's taste.
00:00:30And so because of that,
00:00:31this video is gonna be a tale of two halves.
00:00:34In the first half, we're gonna focus on taste.
00:00:36How are we able to create marketing material,
00:00:39whether that's videos, posts, images, whatever,
00:00:42that actually sound like you and not the AI slop drivel
00:00:46that's ruining every single platform out there.
00:00:48And in the second half,
00:00:49we're gonna talk about systems and scale.
00:00:52How can we take this machine that we've begun to build
00:00:55that reflects your views, your values, your voice,
00:00:58and post it not on one platform a day, once a day,
00:01:01but multiple platforms, multiple times a day
00:01:04about topics that matter to you,
00:01:06and again, retain your vision.
00:01:08We're gonna do this by traversing seven different levels
00:01:11of cloud code and marketing.
00:01:12And at each level, I'm gonna tell you what you can expect
00:01:16and more importantly, what you need to do to level up.
00:01:19In today's video, I'm gonna show you how to turn cloud code
00:01:22into a marketing machine that can pull information and data
00:01:26from any source.
00:01:28Turn that data into any form of content we want,
00:01:31whether that's audio, video, or text,
00:01:33and then push it to any social media platform we want.
00:01:37And most importantly, do it in your voice.
00:01:41Now that last point is the most important, your voice,
00:01:44because that is all about taste.
00:01:47That is how we are able to go from AI slop
00:01:50into an AI system.
00:01:51Because if you don't nail that part, the taste part,
00:01:53being able to control the feel, the vibe of what comes out
00:01:56and have it match you or your business,
00:01:59you are just going to be another AI internet tragedy
00:02:02that people see and they see your posts
00:02:04and they immediately dismiss you and not only dismiss you,
00:02:06they now associate you with garbage trash.
00:02:09And there is a ton of that out there and you don't want that.
00:02:12We want all the power of AI,
00:02:14but we don't want those downsides.
00:02:16And we can do it, but it takes a little bit of skill.
00:02:20And we are gonna build those skills
00:02:22as we go across all seven levels of cloud code marketing.
00:02:26For each level, I'm gonna explain when you know you're there,
00:02:30what skills you need to master, the traps we need to avoid,
00:02:33and most importantly, the unlocks.
00:02:35How do we actually level up and get better at this?
00:02:39But before we get started with level one,
00:02:40a quick word from your favorite sponsor, me.
00:02:43Last month, I released the Cloud Code Masterclass
00:02:45and it is the number one way to go from zero to AI dev,
00:02:48especially if you don't come from a technical background.
00:02:51I update this course every single week.
00:02:53We just came out with a bunch of modules going over
00:02:56how to make your own cloud code agentic OS.
00:02:58So if you wanna get a handle on this awesome tool,
00:03:01you need to check this out.
00:03:02There is a link to it in the pinned comment.
00:03:05Hope to see you there.
00:03:06So let's start with level one.
00:03:07So level one is the most basic of all levels.
00:03:11And this is the scourge of the internet.
00:03:13It is just you and AI,
00:03:16probably not even cloud at this point.
00:03:17You're probably still on chat GBT
00:03:19and you're just prompting it.
00:03:20And you're saying absolute nonsense
00:03:22like apparently everyone is.
00:03:23Just write me a tweet or write my next LinkedIn article
00:03:27or write my email for me or write my blog.
00:03:29And that's pretty much it.
00:03:30Maybe you go a step further and you say something
00:03:33like don't sound like AI, no em dashes.
00:03:36Don't even get me started on em dashes
00:03:37as someone who's used em dashes since the dawn of time.
00:03:40It's very upsetting that they've now been associated
00:03:43with AI slot, but that's only the conversation.
00:03:45This is sadly where most people live.
00:03:47This is how we actually get AI slot.
00:03:49And you see this everywhere, everywhere.
00:03:51And this level is why AI gets a bad rap
00:03:53because it's kind of a survivorship bias sort of thing
00:03:56where all you notice is the bad AI writing
00:03:58and it is very, very obvious.
00:03:59It's the things where we're talking about
00:04:01like the chat GBT isms.
00:04:02Like it's not X, it's Y, you know, the em dashes,
00:04:05all that sort of stuff.
00:04:06Now, if you've begun to already recognize
00:04:08these sort of AI isms,
00:04:09well, you've already started to master some of these skills.
00:04:12One of them is recognizing AI default phrasing.
00:04:14We can't cut this out of our system
00:04:17if we don't even know how to recognize it.
00:04:18So that's one of the first skills.
00:04:20The other skills we need to master
00:04:21is writing clear and specific prompts
00:04:23and then being willing to iterate,
00:04:24not just sitting on the first outcome we get from Claude
00:04:28or chat GBT or Gemini,
00:04:30but actually going in there, reading it,
00:04:32seeing what it actually wrote,
00:04:34which a lot of people don't do.
00:04:35I mean like, does this make sense?
00:04:36And going back to signs of AI writing,
00:04:38it's gotten to the point where Wikipedia
00:04:40has a very extensive article about the signs.
00:04:42And I mean, extensive.
00:04:44This is a whole breakdown of the sort of things
00:04:47you see in AI writing and examples.
00:04:50We're still, we're about at the halfway point now.
00:04:52The point being, there is a lot of things
00:04:55that are telltale signs that you're putting out slop.
00:04:59Now people try to get around this in two ways at this level.
00:05:02One, they try to prompt out
00:05:05the most egregious of those problems.
00:05:06Like no more em dashes, please don't do em dashes.
00:05:09Or they try to just brute force it and go for engagement.
00:05:13So they see posts that are doing well
00:05:14on something like LinkedIn or Twitter,
00:05:16and they just tell Claude code,
00:05:18or they tell chat GBT, get louder, get louder, get louder,
00:05:22better hook, better hook, better hook,
00:05:23as if that's gonna solve the problem.
00:05:25Because that is a trap.
00:05:27Because even if it gives you a quote unquote,
00:05:29better hook or better engagement,
00:05:31is that your hook and your engagement
00:05:33and your vision and your voice?
00:05:35Chances are the answer is no.
00:05:37And so to truly unlock level two, what do we gotta do?
00:05:41Well, we need to make it so AI
00:05:42is no longer guessing your voice.
00:05:44We need to develop some sort of taste, right?
00:05:47We need to prompt it in a way
00:05:49that we can consistently have it sound like us.
00:05:52So now we're moving into level two,
00:05:53the taste injector, the voice injector.
00:05:56This is where we're no longer just praying it gets it right.
00:05:59We are going to strategically give it our voice
00:06:03via something like a Claude.md, a voice doc file,
00:06:06literally some sort of context,
00:06:08some sort of documentation that says, this is how I write.
00:06:11Sound like this all the time.
00:06:13For example, here is the system prompt
00:06:15I use for my blog system.
00:06:17It talks about my core mission.
00:06:19It talks about my voice and tone guidelines.
00:06:21It has words and phrases to never use
00:06:23versus phrases that are on brand.
00:06:25And then it has some blog specific things.
00:06:27And we'll talk about how these should be written
00:06:29for specific platforms later.
00:06:31But as you can see, this is relatively robust.
00:06:34This isn't just me telling Claude code,
00:06:36sound like me, be very concise and professional.
00:06:40Now I also have a template of this thing
00:06:41that you can use for your own purposes.
00:06:44And all this will be inside of my community.
00:06:46Now the system prompt is just one piece
00:06:48of the brand voice doc puzzle,
00:06:51because that is the template, that's the guide.
00:06:54Those are the guardrails.
00:06:55But what we can also do is we can also load examples
00:06:59of our best posts.
00:07:00Now, if you don't have any posts yet,
00:07:03then you can't really do this.
00:07:04But what you can do is you can go out
00:07:06to whatever platform you're thinking of,
00:07:08say LinkedIn, for example,
00:07:09and you can find posts of people you like.
00:07:11And then what you do is you take this template
00:07:13I'm giving you, you copy and paste that into Claude code,
00:07:16you then copy and paste those five to 10 best posts
00:07:20from other people you like or your own.
00:07:23And you say, given those posts, fill out this template.
00:07:27And it's gonna take a look at the type of phrases you use,
00:07:30the type of phrases you don't use.
00:07:31It's gonna take a look at your general style
00:07:32and it's going to apply it to this document.
00:07:35And once we have that,
00:07:36we just give the document to Claude code.
00:07:39And we say from now on, write my blog post for me
00:07:42about whatever topic,
00:07:43make sure to reference the brand voice doc.
00:07:46Now I've either directly dropped it
00:07:48into the prop window at that point,
00:07:50or I'm operating in some sort of folder,
00:07:52some sort of directory that includes the document in there.
00:07:56Better yet, we'll talk about this a little bit later,
00:07:59instead of doing all this,
00:08:01I could just turn this into a skill.
00:08:03And I would just say something like run the blog post skill,
00:08:05talk about X topic.
00:08:07And because we set up the skill that way,
00:08:09it would already know, oh, we're doing a blog post.
00:08:11Oh, because we're doing a post,
00:08:13I need to do it with his voice.
00:08:16So I'm gonna take a look at this document
00:08:17that says exactly what it should sound like,
00:08:19what phrases to use, what phrases not to use.
00:08:21And at the end of the day,
00:08:23you will get something that sounds way more like you
00:08:25and way less like generic AI.
00:08:28This is the foundation.
00:08:30This sort of document is a non-negotiable.
00:08:33You need this if you want AI to market with you
00:08:36in your voice, in any capacity, in any sort of deliverable.
00:08:39So what skills do we need to master here at level two?
00:08:41And by the way, most people don't even get to this level.
00:08:43We're talking about seven levels.
00:08:44Most people don't even get here too.
00:08:46So we need to curate the best examples.
00:08:48When I said find five to 10 of the best posts
00:08:51or five to 10 of posts you like and you want to emulate,
00:08:54that's the high mark, 10, no more than 10.
00:08:59Three to five is probably the sweet spot
00:09:01because if I feed it too much information,
00:09:03it's we're kind of just overloading the system.
00:09:05And again, less is more.
00:09:07The document I have given you that template
00:09:09is really all you need.
00:09:10You don't need some 30,000 word dissertation
00:09:13about what to do and what not to do,
00:09:15which kind of leads into this idea of context rock
00:09:17because there are people who understand this idea
00:09:20of feeding examples and they say,
00:09:21"Hey, I'm gonna create an entire rag system
00:09:23with 40,000 articles that I like."
00:09:25That is stupid.
00:09:26We don't need to do that.
00:09:27Now, what's the real trap here?
00:09:29I talk about the voice doc ball
00:09:31and you taking forever to put this together.
00:09:32Well, the other trap is thinking your work here is done
00:09:35at this point.
00:09:36Just because I created this document
00:09:38and it's starting to sound like me,
00:09:40this is a living and breathing thing,
00:09:42especially if you haven't posted before.
00:09:45What you wanna continue to do is figure out
00:09:47what posts actually do well.
00:09:49And then as you figure out what posts are doing well,
00:09:52you know what you're gonna do?
00:09:53You're going to feed it back in a cloud code.
00:09:56You're going to update your document.
00:09:57You're gonna take a look at the outputs
00:09:59after you use this for a week or so.
00:10:00You're gonna go through them with a fine tooth comb
00:10:02and see what you like and don't like.
00:10:04This isn't a one-shot thing.
00:10:05This is something that if you want cloud
00:10:07to be some sort of self-improving system,
00:10:10you need to constantly be updating it.
00:10:12But simply getting this document in there
00:10:14is a huge step forward and puts you ahead
00:10:16of like 90% of the people using AI to write stuff for them.
00:10:20But we wanna do more.
00:10:21We wanna talk about level three.
00:10:23How do we get to level three?
00:10:24Well, level three is where we start thinking about strategy
00:10:29because it's one thing to have it right in our voice,
00:10:31but what are we writing about?
00:10:32We need a system in place where we can grab information
00:10:35from somewhere and create this funnel
00:10:38between information and analysis and deliverables.
00:10:41Well, that's what we're gonna talk about in the next level.
00:10:44Now, level three is where we start going into systems.
00:10:46How do we figure out
00:10:47what we're actually going to be talking about?
00:10:49Now, this might be obvious for some of you,
00:10:51but I know there's a lot of you out there
00:10:52who kinda just show up in front of your computer
00:10:54or in front of your camera
00:10:55and you just pray inspiration falls into your lap.
00:10:57But we can do better, especially when we have cloud code.
00:11:00And it is with cloud code that we are going to figure out
00:11:03how to scrape information and how to grab it
00:11:05from whatever we deem to be this sort of fountainhead
00:11:09of knowledge that feeds our content.
00:11:11For me, that looks like my daily morning report
00:11:14that cloud code creates for me.
00:11:15And this is simply a set of skills.
00:11:17This set of skills queries the web for information
00:11:20about AI and coding agents and anthropic.
00:11:23It looks at Twitter and GitHub and does the same thing.
00:11:26It then synthesizes all this into a briefing
00:11:29and then it just shows up inside of my Obsidian vault
00:11:32and I wake up and it's there.
00:11:33Based on that morning report,
00:11:35I then identify things that I think will actually make sense
00:11:38to talk about.
00:11:39And that's where something like a deep research workflow
00:11:41comes in, which is again, surprise, surprise,
00:11:44just a series of skills I created with cloud code.
00:11:47So if it's something that I think there's YouTube videos
00:11:49about, I use my YouTube pipeline skill,
00:11:51which then gets sent to notebook LM
00:11:53using the notebook LM CLI and the notebook LM skills.
00:11:56It does all the analysis for me, it synthesizes it,
00:11:59and then it creates a brief which basically says,
00:12:01here's what it's about, here's what you need to care about,
00:12:04here's some sort of content ideas.
00:12:06The point isn't that, hey, you need to do this exact thing,
00:12:08although all of these skills and setups
00:12:10are inside of my community.
00:12:12The point is you need to identify one,
00:12:16where does the info live for you?
00:12:18This is gonna change depending on your niche.
00:12:20For tech, it's pretty obvious.
00:12:21It tends to be Twitter,
00:12:22and then usually even below that is like GitHub itself.
00:12:25This is like where all the information is coming from.
00:12:27Beyond that, you have YouTube,
00:12:28which is a little bit of a laggard,
00:12:30and then even more lagging behind is stuff like Instagram,
00:12:34TikTok, LinkedIn.
00:12:35So if you're someone who's creating content
00:12:37and you kind of need to be on the cutting edge of it
00:12:39to get people to talk about it,
00:12:40well, where's that information, right?
00:12:43That's what you need to figure out.
00:12:44And there are step two, you need to figure out
00:12:45what do you want out of that information?
00:12:47What does that synthesis need to look like?
00:12:49For me, it's pretty easy.
00:12:50It's just like, what is it?
00:12:51Do you have some sort of link
00:12:53where I can look at actual documentation?
00:12:54Okay, pull out the so what for me, why should I care?
00:12:57And then figure out some sort of content ideas for me.
00:13:01Again, totally depends on your niche,
00:13:03especially if you're someone
00:13:04who's not necessarily talking about something
00:13:07that is I think as rapidly evolving as AI.
00:13:11Let's say you're someone like the fitness industry,
00:13:13like where is the info coming from?
00:13:16Well, obviously there's new studies that come out,
00:13:18but it's not like there's a new exercise
00:13:19that hits every three minutes, like a new AI tool.
00:13:22But you still need somewhere
00:13:24that you manually have been grabbing inspiration from.
00:13:27The point is, what is your normal inspo?
00:13:29Where does that come from?
00:13:30Okay, have Clod Code grab it for you by itself.
00:13:36Now, how it actually goes out and grabs that information,
00:13:39again, is sort of use case dependent.
00:13:40If it's something like YouTube,
00:13:42I have YouTube search skills,
00:13:44I have things like notebook LM,
00:13:45I have an entire app that looks on Twitter
00:13:47and finds trending things.
00:13:50But if that's not you, it's kind of just depends, right?
00:13:53This video could be seven hours long
00:13:54talking about the different ways
00:13:55to grab information from different places.
00:13:57But the way you figure out that workflow is the same,
00:13:59no matter who you are.
00:14:00And the workflow is you go into Clod Code,
00:14:04you open up this microphone
00:14:06and you just do a stream of consciousness
00:14:07where you tell Clod Code,
00:14:09here is my normal workflow when it comes to marketing.
00:14:12Here's how I normally find the information.
00:14:13Here's my normal manual flow
00:14:15for how I then turn that into a blog, a post, a video,
00:14:19an image, a carousel, whatever.
00:14:21You go to Clod Code and you explain
00:14:23in as great of detail as possible what your workflow is.
00:14:27From there, we then ask Clod Code,
00:14:30can we turn this into a skill?
00:14:33Or can we turn this into a set of skills?
00:14:36Because what it's gonna do
00:14:37is it's gonna take all of your individual tasks
00:14:39that make up your daily workflow,
00:14:41it's gonna turn them into a skill,
00:14:42which we can then automate down the line.
00:14:44But Chase, I don't know how to create skills.
00:14:46I don't know the best way to create skills.
00:14:47Doesn't matter, Clod Code knows how to create skills
00:14:50better than you or I and test them.
00:14:52It's called the Skill Creator skill.
00:14:54I've done a bunch of content on this.
00:14:56Just go inside my channel and search for skills.
00:14:58You'll find this.
00:14:59We then use the Skill Creator skill to create skills for us.
00:15:02If you don't notice, pretty much Clod Code
00:15:04does all the work for us at every step of the way.
00:15:06All you have to do is tell it what you do.
00:15:09Tell Clod Code what you do and how you work
00:15:11and it's gonna take your task, turn them into skills,
00:15:13optimize the skills themselves with the Skill Creator.
00:15:16And what have we done?
00:15:18Well, we've gone ahead and we've essentially automated
00:15:21a huge portion of our entire marketing workflow,
00:15:25which is the ideation process.
00:15:27And if you currently live in a world
00:15:29where you have no Clod Code skills that are working for you,
00:15:31the second you open up your computer
00:15:33and you're giving you at least a solid headstart
00:15:37on figuring out what it is you're gonna talk about
00:15:39from a marketing perspective each day,
00:15:41you are wrong and you're falling behind.
00:15:43Because if it wasn't obvious enough at this point,
00:15:46once we've done level two and level three,
00:15:49we're kind of like 90% of the way there
00:15:51when it comes to creating a content automation process.
00:15:55Because you now know how to make AI sound like you
00:15:58and you now understand the process
00:16:00by which you can automate the ideation process,
00:16:03where you can go out, find data and bring it back to you.
00:16:06So if I know what I wanna talk about
00:16:09and I know how to then talk about it in my voice,
00:16:11well, the next four levels, as you will see,
00:16:13are all just about refining it for specific platforms,
00:16:15how to do this from a multimodal perspective.
00:16:18But this level two and three is the moneymaker completely.
00:16:21And it's super easy to do.
00:16:23You just have to start using Claude code as a collaborator
00:16:26and bring it into the fold.
00:16:27So to wrap up level three, what are the skills to master?
00:16:29Well, it's really about creating skills within Claude code
00:16:32that makes sense for your particular workflow
00:16:35for how you find information for your marketing.
00:16:38The trap here is to go a little bit deep
00:16:40and all of a sudden we're going beyond just skills
00:16:42that I can execute very quickly inside a terminal.
00:16:45And we're trying to make it all fancy,
00:16:46more than creating 10,000 dashboards
00:16:48instead of just realizing this is just step one,
00:16:51this is just the ideate,
00:16:52we don't need to turn it into the product itself.
00:16:54And to move on to level four,
00:16:56this is where we start going multimodal.
00:16:58This is where we start talking about image generation,
00:17:00video generation, bringing in other things besides text,
00:17:03because up until now it's been very text heavy,
00:17:06but there's a lot out there in the world
00:17:08of AI content creation that can really move the needle
00:17:11on specific platforms,
00:17:12especially ones that are more video and image oriented
00:17:15like YouTube, TikTok and Instagram.
00:17:17Now let's go into level four, which is the creative director.
00:17:20This is where we move from text
00:17:22into stuff like images and videos.
00:17:25And the great part about this is nothing really changes
00:17:29in terms of the fundamentals,
00:17:31whether we're doing images or we're doing videos,
00:17:34the important thing is taste,
00:17:36which really means our branding, our voice.
00:17:40Now, when we talked about voice,
00:17:41it was pretty easy in terms of texts.
00:17:44You know, we have this template that says,
00:17:46do this, don't do that.
00:17:47Here's some examples, fill it out.
00:17:50Well, it's not gonna change here.
00:17:51Is the prompt gonna be a little bit different
00:17:53if we're doing images with nano, banana or GPT images too,
00:17:56than if we're creating a LinkedIn post?
00:17:58Of course, same thing with the videos,
00:18:00but it's still the same in terms of a high level overview.
00:18:04Here's what I want you to do.
00:18:05Here's what I don't want you to do.
00:18:07Here's several examples of what write looks like for me.
00:18:11And by doing that, that's how you create,
00:18:13you know, a consistent brand
00:18:15across whatever deliverables you have.
00:18:17And even in terms of finding things to create
00:18:20is still the same as everything we talked about in level three.
00:18:23I demonstrated this in my last video
00:18:26and I'll put a link to that above,
00:18:27where we used Claude code to go on to GitHub
00:18:30and find trending GitHub repos for that week.
00:18:33We then synthesize that information inside of Claude code.
00:18:36We had it figure out the so what and what the copy,
00:18:39AKA the voice of our carousel post,
00:18:43which is both half text, half imagery needed to sound like.
00:18:46So we had a consistent voice and taste
00:18:49across images and copy.
00:18:50We then sent that via the Higgsfield MCP to GPT images too,
00:18:55which created this image for our carousel
00:18:58and the follow on slides in a consistent manner
00:19:01that was pretty much the same of what we've done in the past.
00:19:05So those fundamentals of brand voice,
00:19:08AKA taste of getting the sort of images we want,
00:19:10and then level three of finding things to talk about,
00:19:13in this case, it was GitHub repos,
00:19:15was done in an automated way.
00:19:18That was, in my opinion, anti-AI slop.
00:19:21All we've done here in level four
00:19:22is we're just adding this part.
00:19:23We're just not doing text only, we're now adding images.
00:19:26Now, I will say one of the tough things
00:19:28when it comes to sort of this multimodal thing
00:19:31is the amount of tools available.
00:19:32And like I said in the intro,
00:19:33this isn't gonna become a just tool tour
00:19:36where I'm saying, use this tool, use that tool.
00:19:38The point is these tools and the best ones to use change
00:19:40literally all the time,
00:19:42which is why I did the video yesterday,
00:19:43which I showed off Hicksfield MCP,
00:19:46which is like a one-stop shop that gives you all these tools.
00:19:49The point being is if you are someone
00:19:52who's gonna be operating in a multimodal environment,
00:19:55so you are gonna do videos and you are going to do images,
00:19:58just understand you do need to be on top of like,
00:20:01what is the best one?
00:20:02'Cause this literally does change from week to week.
00:20:04But even though the tools change, the fundamentals remain.
00:20:07So if I'm able to create a system
00:20:08where I consistently create videos
00:20:11that are on-brand and on-voice for VO3,
00:20:14it's gonna be the same if I'm using Cling or CDance.
00:20:16I'm just gonna have to change the API up a little bit
00:20:18if I'm going a direct route.
00:20:20Same thing with images.
00:20:22The prompts that work in Nano Banana Pro
00:20:24are gonna work inside of GPT.
00:20:25So the real bottleneck, again, isn't the tool themselves.
00:20:29It's getting that brand and getting that voice.
00:20:32That's what matters.
00:20:35And so to do this, what we want
00:20:36is we want repeatable prompt templates
00:20:38that we can execute for images in videos.
00:20:41Specifically, if we can do them in JSON format,
00:20:43which is always nice to use with AI, that is best.
00:20:45So I have an actual skill inside of Clod Code that I use
00:20:48where I can feed it any sort of image as a reference image
00:20:52and essentially turns that reference image
00:20:54into a JSON prompt,
00:20:56which I can then have it edit with natural language.
00:20:58So if I fed it this image, it breaks it down into JSON.
00:21:01I could say, hey, change the text, change the background,
00:21:04change the actual like main character.
00:21:07It's gonna do that while keeping everything else the same.
00:21:09So I'm saying use the JSON prompt generator skill
00:21:11on this image and show me the JSON you created.
00:21:14And this is the image I gave it.
00:21:16And here's the JSON prompt it created.
00:21:20Now, what is the value of turning this into the JSON prompt?
00:21:23Well, let's say as part of my brand voice,
00:21:26I wanted to create images that were in this style
00:21:31by including this as a reference image
00:21:34and this JSON prompt.
00:21:36I can now consistently create images,
00:21:40create media that fit this brand and fit the style
00:21:43no matter what I have the copy be.
00:21:46And if I apply that same process to, for example,
00:21:49the rest of the carousel or whatever images I create,
00:21:53I have a system by which I can have consistent designs
00:21:56that look the same in my voice
00:21:58and have a certain level of taste
00:22:01when it comes to these multimodal assets, images and video.
00:22:04Same thing goes for video.
00:22:05So if I was trying to set up
00:22:06my own sort of carousel system from scratch,
00:22:08and let's say I hadn't created those visuals
00:22:10or brand voice first,
00:22:12what all you need to do is find some inspiration.
00:22:14So if I go on somewhere like Instagram
00:22:16and I search for carousel posts,
00:22:18I'm going to then see a bunch of really good carousel posts.
00:22:23And so what am I going to do?
00:22:25Well, I'm going to find the sort of carousel post
00:22:27I like that I think makes sense for my brand.
00:22:30I'm then just going to click on it,
00:22:32take a screenshot of it, dump it into Claude code,
00:22:36run that same JSON prompt generator skill you just did.
00:22:40And now I have a base from which I can edit it
00:22:42because, hey, I don't want to copy this exactly.
00:22:45But if I have that edited JSON prompt
00:22:47and the reference image,
00:22:48and I now then send that
00:22:50to something like Nano Banana Pro or GPT images too,
00:22:53I can now, again, use this as a base
00:22:56and turn it into something that makes sense for me.
00:22:58So I'm not starting from scratch.
00:22:59I'm going to be looking at stuff
00:23:00that has actually worked for other people.
00:23:02I mean, this thing has 44,000 likes.
00:23:04So why wouldn't I go out there and take inspiration that way?
00:23:08You would then combine that image
00:23:09with the actual sort of copy voice sort of things
00:23:13we've been talking about for the last few levels.
00:23:17And with those two things together,
00:23:18you would be able to create a carousel machine.
00:23:22And the real unlock here is building a fleet
00:23:24of these reusable JSON prompt templates,
00:23:26because that was one template I showed you for one carousel.
00:23:30What if we had 30 of those?
00:23:31And like you saw before in level three,
00:23:33what if we now have an automation that grabs information,
00:23:36grabs some sort of data
00:23:37that we want to talk about in a carousel format?
00:23:39Well, it's not a stretch to then automate that process
00:23:41where every day it grabs the information.
00:23:44It then creates copy in my voice.
00:23:46It then grabs one of the random 30 carousel templates
00:23:49that we've proven to work and then creates content for me.
00:23:53It's all automated.
00:23:54It's all in my voice.
00:23:55It's consistent.
00:23:56And if you dial this in, in the way I've showed you,
00:24:00it's not AI slop.
00:24:01Yet that is a pretty robust marketing machine right there.
00:24:04Automatic carousels every single day.
00:24:07It's not a small thing.
00:24:09And these other skills that go along with it
00:24:10of picking creative direction before generating
00:24:12and quality filtering AI output for tells,
00:24:15if you've done everything you need to do
00:24:16in levels one, two, and three,
00:24:18which is getting your voice locked in,
00:24:20that's kind of just automatic.
00:24:21And on top of that,
00:24:22you're gonna avoid this trap of poor AI outputs
00:24:24because you're always building off reference images
00:24:27that you've either done yourself and already work,
00:24:30or you find images that you like and you build off of them.
00:24:34We're never just building something from scratch
00:24:35and hoping it comes out well or actually converts.
00:24:40And that lets us to begin to look at level five,
00:24:42because at this point you have the voice.
00:24:45You're able to do it in text.
00:24:46You're able to do it in images.
00:24:47You're able to do it in video.
00:24:49Now it's time for distribution.
00:24:51It's time to bring this all together
00:24:54and have some sort of chain
00:24:55that goes from ideation to distribution,
00:24:57and all of it makes sense from beginning to end.
00:24:59So at level five, we're talking about scale and repurposing.
00:25:01How can I create one piece of content in one place
00:25:04and turn that into multiple pieces of content
00:25:06on multiple platforms and even different mediums?
00:25:09For example, I have a skill called my content cascade skill,
00:25:12which will take a YouTube video that I've created
00:25:14and turn it into a LinkedIn post,
00:25:17turn it into a Twitter thread, turn it into a blog post,
00:25:21and then turn it into ideas for short form content.
00:25:24This makes scaling so much easier
00:25:26because the idea that you're gonna create
00:25:27multiple pieces of marketing material
00:25:29on multiple platforms from scratch is just unrealistic.
00:25:33You're not going to do that.
00:25:34So you need something like this to boost you.
00:25:38As an example, I told Claude Code
00:25:39to run the content cascade skill on my latest YouTube video,
00:25:43and it created the blog post for me.
00:25:46It created the Twitter post for me,
00:25:48and then it also created an outline for the short form stuff.
00:25:51It then logs it all as super base,
00:25:53and in one command, I can actually push it live.
00:25:55The point of this is you need some sort of system like this
00:25:59if you wanna scale because in no world
00:26:01are you gonna do all that manually.
00:26:02Now, the one thing we have to worry about here
00:26:04is the voice variance for each platform
00:26:06because there are some differences
00:26:08between if we're on our own personal blog
00:26:09versus LinkedIn versus Twitter or any other place.
00:26:13Now, the good news is you're already 90% of the way there.
00:26:16If you're at level five,
00:26:17you've already locked in your voice.
00:26:18Now, all we have to do is, in essence,
00:26:21kind of repeat the process of level two,
00:26:25but it's a little easier
00:26:26because remember, I gave you this example,
00:26:28which is the template for my blog posts,
00:26:30and I said, "Hey, use this template
00:26:32"and then feed it examples of writing you like,
00:26:35"whether it's yours or someone else's."
00:26:37Well, we're just going to do the same thing,
00:26:40except it's not gonna be the blog.
00:26:41It will be LinkedIn or Twitter or whatever,
00:26:44and so you're then gonna tell Claude Code,
00:26:46"Here's the voice sheet we've been working.
00:26:48"Here's some examples of Twitter post, LinkedIn, whatever.
00:26:52"Can you now create a skill for LinkedIn writing
00:26:57"or Twitter writing?
00:26:58"That maintains my voice, but as you know,
00:27:00"those Twitter idiosyncrasies,"
00:27:02or whatever platform we're mentioning,
00:27:04and by doing that, you're gonna create a series of skills
00:27:06that allow you to take any piece of content
00:27:08and repurpose it in other places,
00:27:09and it has a specific voice for that platform.
00:27:13Now, these voice variants can get tricky,
00:27:15so this isn't just a one-and-done thing,
00:27:17just like anything else.
00:27:18You're gonna have to tweak it over time
00:27:19and see how it does in terms of engagements
00:27:21or whatever metrics you're paying attention to,
00:27:23but doing this will let us avoid the trap
00:27:25of thinking each platform has the exact same voice,
00:27:29and we can just repeat the same thing everywhere.
00:27:31That's not the case, and if it's text,
00:27:33and this is where you're gonna get the most value out of this,
00:27:35it's very easy to do this.
00:27:36We're literally talking about creating just a couple skills,
00:27:39but above all, we wanna make sure
00:27:40we just never lose that voice,
00:27:42and we never lose our brand.
00:27:44As we try to add more and more to it
00:27:46and send it in different places,
00:27:48again, there's always the chance
00:27:49that you're gonna dilute it,
00:27:50but if you're on top of this process
00:27:52and making sure you actually go over the outputs,
00:27:55you're gonna be okay,
00:27:56but once you have that voice locked in,
00:27:57that's when we can start talking about level six,
00:28:00and level six and level seven is where we begin
00:28:03to step away a little bit from the controls,
00:28:06and we give AI even more power
00:28:08to run these things autonomously,
00:28:10because in level six, this is where we go
00:28:13into the automation piece.
00:28:15This is where we start using things like loops
00:28:17and schedules and cron jobs,
00:28:19so you don't have to execute all these skills automatically.
00:28:22We already talked about this a little bit earlier.
00:28:24Remember this idea of, hey, checking GitHub every morning,
00:28:28doing the analysis, setting it off to GPT,
00:28:30and then creating these deliverables?
00:28:32Again, we can automate all of that.
00:28:33Now, how you decide to automate that is really up to you.
00:28:36I think the easiest way to do it,
00:28:38if you wanna stay inside the Clod code ecosystem,
00:28:41is simply by scheduling it,
00:28:42and we can schedule things by simply doing forward slash
00:28:45schedule and then prompting what we want,
00:28:47so I can do forward slash schedule and say,
00:28:50let's run the carousel skill every morning at 10 a.m.
00:28:54This is also something you have the ability
00:28:55to do through the desktop app,
00:28:57so if I go on the desktop app, I can go to routines,
00:28:59select the new routine, and decide if it's either
00:29:02gonna be local or remote.
00:29:03And understand, this isn't an all or nothing thing.
00:29:06I can have some portions of it be automated.
00:29:09Maybe I just have the ideation piece automated,
00:29:11where every morning it brings in all that information to me
00:29:14from whether that's GitHub or Twitter or YouTube or whatever,
00:29:16or I automate the content creation part of it.
00:29:19The one thing you don't wanna automate,
00:29:20I think, is the posting process, which some people do.
00:29:25Some people go for a crazy volume approach.
00:29:27I have my own things to say about that,
00:29:31but I would always caution you to never let AI post for you
00:29:36if you haven't had actual eyes on
00:29:37to the actual deliverables created.
00:29:39Now, the skills to master at this level
00:29:41are pretty self-explanatory, and that's figuring out,
00:29:43hey, how am I actually going to schedule this thing?
00:29:45Is it gonna be a local task?
00:29:46Is it gonna be a remote task?
00:29:48Which portions of this process am I going to automate?
00:29:51And also having some sort of taste checkpoints in the flow.
00:29:54This is really important, I think,
00:29:55when we talk about image generation and video stuff.
00:29:57And I think carousels are a great example,
00:29:59because if I'm creating sort of the body slides
00:30:02for, say, a carousel, this is slide number one,
00:30:05and then we have slide number two.
00:30:06They're very similar, but I wouldn't wanna just send AI off
00:30:11and just have it create all of them at once.
00:30:12I wanna see this slide.
00:30:15You know, I wanna see this slide first.
00:30:17I wanna make sure this is exact
00:30:19before I go ahead and let it create slides
00:30:21two, three, four, five, and six.
00:30:23So if I was automating some portion of it,
00:30:25you do need to figure out at which place in the process
00:30:28do you need to step in and give a thumbs up
00:30:30before the rest of it kicks off.
00:30:31And again, this is very use case dependent.
00:30:33Now, the trap at this stage is you go full AI
00:30:38and you just let it run everything
00:30:39and you don't have any of those checks.
00:30:41And this is really dangerous,
00:30:42especially if you're trying to build
00:30:43a certain personal brand or this is your business
00:30:45because it's all gonna be a reflection of you,
00:30:48whether AI built it or not.
00:30:49Now, level six is where you should aspire to eventually live.
00:30:52This is where you have your voice locked on,
00:30:54you got your brand locked in,
00:30:55you're automating the things you want to automate,
00:30:57and you're actually scaling it up.
00:30:59Because when we talk about level seven,
00:31:01it's essentially level six on steroids,
00:31:03but it's very easy to lose the plot.
00:31:05Because level seven is the autonomous agent,
00:31:08and this is where we're kind of letting AI drive the ship.
00:31:11And to be totally honest,
00:31:12I don't think we're really here yet
00:31:14in terms of the technology to execute this well enough.
00:31:17Now, there are people doing this,
00:31:19and a lot of people who are doing this
00:31:20have moved into the AI avatar space.
00:31:23So we're talking a lot of this like, hey, Jen stuff.
00:31:27And there are channels out there who are doing this,
00:31:29and I won't name any names, to like a pretty wild degree,
00:31:32where they are essentially doing everything
00:31:35we've talked about, but in an autonomous loop
00:31:38that's pushing out six to seven,
00:31:41sometimes I've seen up to eight,
00:31:42like long form YouTube videos a day,
00:31:46where they have an automated system
00:31:48that's constantly scraping the internet,
00:31:50it's grabbing the information,
00:31:51it's creating scripts in their voice,
00:31:54it's then recording a video with some sort of technology
00:31:57like, hey, Jen, so it sounds like them,
00:31:59it uses their voice, it creates the video,
00:32:02edits it itself, creates a thumbnail itself,
00:32:04posts it on YouTube, repeat, repeat, repeat.
00:32:07And the play here is through pure volume,
00:32:10they generate some level of value,
00:32:11because if I post 900 videos a day,
00:32:13at least a couple of them are gonna be hits,
00:32:15even if 99% is trash, right?
00:32:18You get enough hits, you get enough views,
00:32:20you eventually make money.
00:32:22I would argue this is terrible
00:32:24for your personal brand in the long run,
00:32:26yet everyone wants to do this
00:32:27because everyone and their mother apparently wants to get
00:32:29an AI avatar 'cause they're afraid
00:32:31to put their face out there.
00:32:31Just, I would advise against it.
00:32:34But I think it's important to understand
00:32:36how this works and to be able to do it yourself in theory,
00:32:40because there are a lot of skills.
00:32:42If you can do this, you know how AI works,
00:32:44you know how to do your voice, you know how to automate,
00:32:45you know how to like grab data and turn it into yours.
00:32:49But I would say the actual execution here,
00:32:53it's just not here yet.
00:32:54Now I will say the caveat to this is,
00:32:56if we're talking about pure text,
00:32:58just like text stuff, whether that's blogs or whatever,
00:33:03it actually is here because it's really easy to scale text
00:33:06to the point that like Amazon has a limit
00:33:10to the amount of books you can publish per day
00:33:11because this is what people are doing.
00:33:13They've essentially taken everything I've told you here,
00:33:15but are doing it in a literary format to an insane degree.
00:33:19So text, yeah, you can scale here.
00:33:22Video, if you're able to do this well,
00:33:23is probably the highest leverage one,
00:33:27but because the text just isn't there yet,
00:33:28I don't think you should do it.
00:33:29All's I have to say is I think you should understand
00:33:33sort of the architecture of how a system like this would work
00:33:36but I kind of advise against it
00:33:38because I think there is a law of diminishing returns
00:33:41and in the end, you kind of end up hurting
00:33:42your own personal brand, but no, it exists
00:33:46because this technology is only getting better
00:33:48and I don't think we're far away
00:33:49from being able to execute this.
00:33:52So that's where I'm gonna leave you guys today.
00:33:54I hope you were able to get something out of this,
00:33:56especially the idea of taste
00:33:59in locking on your brand voice.
00:34:01Those first couple levels that we talked about
00:34:03are the highest leverage and once you nail that,
00:34:06everything we talked about in the second half of video
00:34:08about scale and automation,
00:34:09it's gonna come somewhat naturally
00:34:12and a lot of that is the functions of the tools we use,
00:34:14but being able to have AI actually sound like you
00:34:17is by far the highest leverage thing you can master
00:34:21and once you master it in one medium,
00:34:23whatever that is for you,
00:34:24then it's just a matter of moving it to other mediums
00:34:27and being able to repurpose it
00:34:28and always relying on cloud code
00:34:30to sort of be the engine for these things
00:34:32and when I talked about just doing a stream of consciousness
00:34:35to cloud code and telling it your workflow
00:34:36is for how you do marketing today,
00:34:38how you do social media content today
00:34:41and breaking that into discrete tasks
00:34:43that we can turn into skills, which then can be automated,
00:34:46that's the other, I think, second highest leverage thing
00:34:48out of this whole video
00:34:49that I think you should implement right away.
00:34:51So as always, let me know what you thought.
00:34:54Make sure to check out Chase AI+.
00:34:56If you wanna get your hands on all the skills
00:34:58we talked about here and more,
00:35:00Besides that, I'll see you around.

Key Takeaway

Moving beyond AI slop requires shifting from basic prompting to a system where custom Claude Code skills use brand voice documents and JSON templates to automate high-taste content across multiple platforms.

Highlights

  • A brand voice document acts as a strategic context file to eliminate generic AI phrasing by specifying core missions, tone guidelines, and forbidden words.

  • A collection of 3 to 5 high-quality post examples provides the optimal context for Claude Code to emulate a specific writing style without overloading the system.

  • Automating the ideation process involves creating Claude Code skills that query GitHub, Twitter, and YouTube to synthesize daily briefings into an Obsidian vault.

  • Consistent visual branding is achieved by converting reference images into JSON templates that a model can modify with natural language while maintaining the original aesthetic.

  • The content cascade skill repurposes a single YouTube video into platform-specific deliverables including LinkedIn posts, Twitter threads, and blog articles simultaneously.

  • Scheduling tools and cron jobs enable automated content generation at specific times, though a manual check is required before the final posting process.

  • Autonomous agents can execute the entire cycle from scraping to video production, but this volume-first approach risks diluting a personal brand with low-quality output.

Timeline

The Bottleneck of AI Marketing

  • Taste and style are the primary constraints in AI marketing rather than the specific software tools used.
  • Constant tool switching is ineffective because the top-rated software changes every few hours.
  • Successful AI systems prioritize the retention of the creator's unique vision and voice at scale.

The current landscape of AI marketing is saturated with rapidly changing tools that often lead to generic results. To avoid producing 'AI slop,' a creator must focus on developing a system that reflects their personal views and values. This approach transforms AI from a basic tool into a sophisticated machine capable of pulling data from any source and converting it into multi-platform content.

Eliminating Generic AI Phrasing

  • Level one marketing relies on basic prompts that result in recognizable AI-isms and default phrasing.
  • Telltale signs of low-effort AI writing include excessive em dashes and predictable sentence structures.
  • Mastering the recognition of default AI phrasing is the first skill required to improve output quality.

Most users stay at the most basic level of interaction, asking models to write articles or tweets without providing specific constraints. This leads to a survivorship bias where only bad AI writing is noticed by the public. Improving results requires a willingness to iterate on prompts and move past the first outcome provided by the model.

The Strategic Brand Voice Document

  • Level two involves using a structured documentation file to define voice and tone guardrails.
  • Feeding a model three to five best-performing posts allows it to extract and apply a specific writing style.
  • The brand voice document must be a living asset that is updated based on weekly performance metrics.

Injecting taste into the workflow requires a strategic file, such as a Claude.md, that outlines mission statements and specific phrases to use or avoid. Instead of building massive RAG systems with thousands of articles, focus on a few high-quality examples to prevent context rot. This foundation ensures that every deliverable generated by the AI remains on-brand.

Automated Ideation and Briefing Systems

  • Level three focuses on building a funnel that connects raw information to final analysis and deliverables.
  • Claude Code skills can be programmed to scrape GitHub or Twitter and deliver synthesized briefings directly to a knowledge base.
  • The Skill Creator skill allows users to convert their manual stream-of-consciousness workflows into automated terminal tasks.

Rather than waiting for inspiration, creators should identify where their niche's primary information lives, such as GitHub for tech or new studies for fitness. By explaining a manual workflow to Claude Code, the model can generate specific skills to automate data gathering and synthesis. This creates a morning report system that provides a head start on the daily content creation process.

Multimodal Creative Direction

  • Level four extends brand voice from text into consistent image and video generation.
  • JSON prompt templates allow for repeatable and editable visual styles based on reference images.
  • A fleet of 30 or more reusable templates can automate the production of high-engagement carousels.

Moving into images and video requires the same focus on taste used for text. By taking a screenshot of a high-performing post and using a JSON prompt generator skill, creators can establish a visual base to edit with natural language. This prevents the need to start from scratch and ensures that multimodal assets maintain a consistent aesthetic across all platforms.

Platform Scaling and Repurposing

  • Level five uses content cascade skills to transform one anchor piece of content into multiple formats.
  • Different platforms require slight voice variations while maintaining the core brand identity.
  • Repurposing prevents the burnout associated with creating unique content for every social media channel manually.

Scaling requires taking a single source, such as a YouTube video, and extracting its value for LinkedIn, Twitter, and blogs. While the core message remains the same, the AI must be tuned to handle platform-specific idiosyncrasies. This is achieved by creating platform-specific skills that reference the original brand voice document.

Scheduling and Autonomous Loops

  • Level six introduces scheduling commands and cron jobs to run skills automatically at specific times.
  • Level seven involves fully autonomous loops that scrape, script, record, and post content without intervention.
  • Maintaining human checkpoints in the automation flow is necessary to protect personal brand integrity.

The final stages of AI marketing move toward full automation, where tasks are scheduled locally or remotely. While autonomous agents can push high volumes of content, such as eight YouTube videos a day using AI avatars, this often leads to diminishing returns and brand damage. The most effective balance is found at level six, where the creator automates the heavy lifting but retains final approval of all deliverables.

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