I heard about a guy who lives in a random small town in England who was able to turn his open claw into a marketing machine.
Basically a digital employee who goes and creates TikTok videos and TikTok slideshows.
That gets millions of views.
And he takes these millions of views and he directs it into a mobile app that generates him money every single day.
What's crazy about this whole thing is he gives away all the sauce for free.
And in this episode you are going to learn how you can set up your open claw so that it too, is a content creation marketing machine.
And I know it's going to get your creative juices flowing.
Oliver doesn't do a lot of podcasts, so please like and comment to get him fired up to share more in public so that we can all learn.
And I'm grateful for him for coming on the pod and sharing with you all.
Have a creative day and I'll see you in there.
Oliver Henry on the Startup Ideas podcast, welcome, welcome.
By the end of this podcast, what are people going to get out of it?
People are going to get an automated marketing tool that is going to automatically drive revenue to their apps.
That feels too good to be true, although I hope that's the case.
Which tools are you going to use and why is it not too good to be true?
So I've got the results on the screen.
It may not look like a lot of subscriptions, but this is 300 400 of monthly revenue coming in without me touching anything, using the Larry marketing skill that I created for OpenClaw agents.
And we can get into how that is creating content and what it is learning to massively increase MRR autonomously by itself.
What we're going to learn today is we're going to learn about OpenClaw and specific skills around marketing, growing your business, automating it.
Yes, MRR is hundreds of dollars a month but hopefully if this works that can get into thousands, tens of thousands or hundreds of thousands.
Is that right?
I'm already trying it on multiple apps, so I'm not touching these apps at all.
I've not created the apps.
I have just published them live on the App Store and they are generating me hundreds of dollars.
It's almost $1,000 in total now from doing nothing, which I think is a great start.
All right, let's see how we do this.
Sure, so...
One, I use my OpenClaw agent, Larry, who automates all my TikTok marketing.
And this is one of the main reasons why it hasn't scaled into thousands of MRR is because I am only doing this on one TikTok currently.
And then I've got one TikTok for each of my apps that I'm trying to do before I start scaling.
And this one is in a very good position to start scaling.
To give you the background context of how this app came about.
I created the app because we moved into a house.
Me and my girlfriend moved into a house and we wanted to decorate the house.
We were using ChatGBT and I very quickly learned that she was not very good at prompting ChatGBT and it was giving all sorts of random messages.
So then I created a lockdown prompt in ChatGBT to Keep the room size the same, the windows in the same places, because it was adding windows where they shouldn't, adding doors where they shouldn't.
So we locked down the prompt and I turned it into an app.
And I thought now I've got to market it.
So I started with that exact story, helping my girlfriend build an app and doing facial videos myself, trying to promote the app, until I then started doing slideshows.
So I think this is the first slideshow that we created and it started to get more, more views, more traction, but it was taking time.
Like I've worked full-time job I do obviously, I was developing the app, developing the other apps on the side, and I didn't have time.
So then I tried going to a SaaS tool that automates your, Automate your marketing for you.
And I love the guys that make the product.
I think they're great.
But unfortunately, their product just didn't work very well for me.
But I knew this was the type of content that I wanted to create.
So you can see it got 800 views.
This one got 400 views.
Still using the images so you can sort of see how Larry was becoming.
And then I posted this one.
So I manually created this one again on Canva.
And this is what got 6,000 views.
And that's where it started blowing up.
So I knew that the text must have been something, the hook must have been something.
This is where I learned about OpenClaw.
And at this exact moment, I said, I created my OpenClaw machine, Larry, he sat behind me.
And at this moment, I installed him and he had one task.
I said, Larry, your goal is to automate my marketing.
I do not want to do it.
I don't like doing it.
I had an app before this that I hated marketing so much.
I did hook and demo videos where it's a facial reaction and then going into a demo of your app with a text hook.
So I would write all my text hooks in a text file.
I would then record my face doing a lot of reactions.
And then I had all my demo videos and I wrote a script to combine all of these and make all the possible combinations of the hook plus demo, plus text, as it could.
And this would generate about 400 videos each time that I could just bulk upload using a bulk scheduler.
And that was still taking me about three hours, but it didn't really work very well with slideshows.
And I knew that for this niche slideshows are going to work.
So This is where Larry came in.
I actually believe the quite opposite.
I think that SaaS is just evolving.
I think right now is an incredible time to be building software startups that help you craft your dream life.
And for all those reasons, I said, let's just book one hour of time.
It's going to be 11 a.m.
March 12th.
That's a Thursday where we can go and lock in and just talk about building businesses in the AJI.
I'll include a link in the description and the show notes to join.
And I can't wait to see.
Well, I gave him X before.
There was all the drama with the APIs and then cancelling the usage and having to use the official API.
So this was early on, on a separate account.
And then also his Brave browser.
And I just said, look, go find out in my niche what creates a high converting slideshow.
So then we got started.
By the way, just on that, Like a lot of people think of software, software as a service.
They're like I need this tool, social media management tool, slideshow tool and then I'm gonna go hire people to go or do it myself, and I'm gonna go do it.
But there's this shift that's happening right now that, instead of basically going to a tool to automate a function, you say to yourself okay, if this was an AI employee, How can I spin this up?
And that's what you did, right, Oliver?
Yeah, so I just thought of Larry as an AI employee, almost like a virtual assistant, hiring a virtual assistant with one job to do this one thing.
And that was his sole purpose to go research, go find out as much as he could about slideshows in my niche and figure it out himself first.
And he started to do a very good job.
So this is the first slide he created.
And instantly you can tell it looks rubbish.
So this was created with the DALI 3 image model.
And then it goes into a slightly better model afterwards.
But because the image looked AI, it was a massive turn off.
Users didn't like it.
The format was wrong.
It had the black bars.
And that's why it flopped.
And then we started trying more hooks.
You can see then he started trying facial reactions because they were trending at the time.
The problem with this is humans are extremely good at recognizing what a human is, which makes us extremely good at recognizing what an AI human is.
And I still don't think it's fully nailed.
Gemini just released Nano Banana 2 and I've seen some very good images created on that, but I've not tried it myself to go in depth.
So we kept trying and then we finally hit our first banger of 137000 views here, and it was the hook.
When you say we finally found a banger, you mean your boy found the banger, right?
Yeah, so honestly, at this point, it was still me.
I felt like I was still hand-holding him.
So I call my open crawl machine a hymn.
It just makes it easier to ignore it.
But I was still hand-holding him and checking his work before I was posting it.
I didn't trust him fully.
So I saw this.
And what I get Larry to do, he creates the content and he puts the text overlay on.
He creates the images.
He makes the description.
But I was just checking it to make sure it all looked good.
And then I was posting it.
There are two ways that you can post to TikTok.
It is fully through the API and post that TikTok live straight away.
Or the way I do it with Larry and the way I fully recommend, is posting it as a draft and then posting it from your mobile yourself.
And the reason to do this is TikTok knows if it's posted through an API and it just assumes, like you would, that it's posted by a bot and it's just botted content, especially in the age of AI, and it gives it a very little chance to do well.
If you post it from your phone, it assumes a human's posting it.
But the most important thing is by posting it as a draft, you can add sound, which we all know is a huge boost to the algorithm on TikTok.
And it allows you to add sound to your slideshow.
So every single slideshow, I pick the sound.
The description's already created from Larry.
So I just get a notification to my phone saying your post is ready from TikTok.
Larry also texts me that he's just posted it.
And then I just add a sound and press post.
So I'm doing that each time.
But at this point, I was still flicking through the slides myself, making sure they're okay.
But this one did very well.
137,000 views.
So then... we knew that this is the format, this kind of look.
We picked an image model that changed.
We picked an image model that matched what we were showing in our app.
And then we went back to our previous winner, the difference between 500 and $5,000 taste.
So remember he has access to all of my TikTok analytics.
So he went back and he found this video here with 6,000 views.
And he was like, right, now we found the winner in the image formula.
Let's go back to the previous winning hook.
Sorry.
When you say he's gone and found this or something has happened, is he texting you?
Is he using Telegram?
Do you have mission control?
How are you communicating with him?
So I don't really believe in the mission control stuff or multi-agent.
I just have Larry as the one agent that I text through WhatsApp and we just message like you would an employee.
So nothing fancy.
Larry, what are you generating today?
Take a look back through the previous winners.
This was back then.
It's all automated in the Larry skill now that he will every now and then go look at your TikTok analytics and find out what the winners were.
But this was the stage of building it and building the system, finding out what worked.
So it was still very much me saying, hey, go look at the TikTok analytics.
Some people say you know, one of the first things you should do when you're installing your OpenClaw is to create a mission control system, vibe code emission control, vibe code like a Kanban board to kind of see how your AI employee is moving and progressing through your project.
But you don't think that's the case.
No, I don't think that's the case.
I think if that was necessary, it would have been built into Open Crawl by default.
I think the way Open Crawl works and the way the creator intends is to just have one agent and spin up sub-agents when you want to keep using your main agent.
So if i knew that, if i know there's going to be a task that's going to take larry a while, such as creating an app, i'll tell him to explain it to a sub-agent so then i can keep using him for other tasks, such as talking to maybe even building another product, talking to about my app analytics, how we can improve the onboarding, and brainstorming.
So i really use larry to brainstorm and then he creates sub-agents to to do most of the tasks.
By doing that, Larry has all the context that he can then pass to the sub-agent as well.
So he'll have the context of all the brainstorming and he can feed that to the sub-agent.
So we get another miss.
The difference between 500 and $5,000 taste, this hits 3,000.
But then this is where I started to get really excited.
And in three videos, we get another banger of 170,000 views.
And it was, I showed my mom what AI thinks our living room could be.
And this is where the next section of Larry comes in, because we had 300000 views within a day or two days, I believe it was.
But the conversions to the app were just not there.
And this is the next stage of Larry's growth is...
We are now knowing how to generate views, but we are not getting high conversions to our app.
We're not getting downloads.
We're not getting paying users, which is obviously the key point of all this.
So we had to look into what was wrong.
I sent Larry, go find out what's wrong.
And it was our CTA.
So our call to action slide is our last slide.
And on this one, you can instantly find out why no one's downloaded this app.
She's redecorating now, Snuggly.
It doesn't say anything.
I obviously didn't check this one or I thought it might work.
So no one downloaded the app, no one bought.
So that is when I thought, right.
To be clear, the app is called Snuggly, right?
That app is called see, even you had to ask the question, so it's a very bad cta.
That app is called snuggly and that's actually what we.
We put in now or we feed that in directly to users, so they know it's an app and what it does.
It's really funny, though it's actually hilarious because it's like she's redecorating now and then it's just snuggly, It's like your poor mom, you know.
She's just redecorating and snuggly.
That's where we're at.
That's where mom's at today.
It's the most AI slide you've ever seen.
And you can imagine why.
You can see why it didn't convert at all.
So then we realized like, okay, if we're getting low views, the CTA is bad.
Sorry, if we're getting low views, the hook is bad.
If we're getting low views and low conversions to the app, the CTA is bad.
But it is possible to have low views and a high percentage of them download the app that day.
So then we know the CTA is probably good, but the hook was bad.
And now Larry is starting to use all of this information to learn.
But then there's a whole new challenge of when users are on the app they're not paying.
So we'll get onto that, but then that is the last section of Larry and the Larry skill.
What I want to say is the Larry skill is You shouldn't think of it as just TikTok, automation or content creation.
You don't have to do slides.
You can plug and play whatever content you want.
So you can use video generation and plug that in.
The Larry funnel is really the full loop of having your the larry loop, basically of having your tick tock analytics, the content creation, feed the analytics back into the content creation until you get a winner and then also your end goal so mine is obviously app downloads.
So i feed my app metrics back into the top of the funnel so he can iterate on that.
But you can be selling a product, you can be getting traction to your website And it's all just the metrics that you're feeding back into the top of the funnel.
So your agent can understand okay, we're getting people to the website but they're not going to where we want.
Or we're getting people to the website and they're not paying.
And you can do this in as many ways as you want.
The funnel is the Larry loop is more the iteration rather than it is the just the content creation.
It's a fuller picture.
So then we have quite a good week here, all over 10K, some getting 150K.
This one got 400,000 and taught us another lesson that the images don't have to be perfect.
So this is the exact moment I just let Larry crack on himself because I remember this well.
He posted this and it was late at night.
I was literally just getting into bed.
And he said, the post is ready.
And I flamed at him.
I was in a bad mood.
I was like, why have you put the text at the top?
We spent ages deciding to put the text in the middle.
The oven disappears.
So in the images, I said, look, I'm posting this anyway, but this is no good.
And that was my last message I sent to him.
And then I wake up, it's on hundreds of thousands of views and it's our best performer to this day.
And you can see he doesn't ever put the text back up to the top to where it was.
But what we learn is...
Boomers love to point out the mistakes.
So where's the hob gone?
How are we going to cook our food?
And then where's the cooker?
Guess I'll be air frying everything then.
And I was like, right, this is just helping even more to drive conversions.
And then on the last slide you can see.
Then on the last side you can see the cta is now the snuggly app.
Helped me finally convince her to get the kitchen done, so there's a direct call to action that they know it's the snuggly app.
Now it's amazing because the boomers think that they're poking fun at you.
Yeah, do they know.
They're helping the content just get more and more viral.
And the funnier layer to that is I don't even check.
Look you see my activity.
I don't even check it.
I just All I'm doing is going into it to find out why that video done so well and try and feed that back to Larry.
But at this point, that is just when I let him... I let him go nuts and just create his own content.
I let him loose.
You let him loose because...
You thought that his content was subpar.
It turns out to be the best performing content you've ever posted in your life.
So now he's the boss.
He becomes the boss.
And this is what I'm trying to tell people.
It is an iterative thing.
So a lot of people try the Larry skill and they tell me it didn't work.
I got 700 views.
I was like, that's your first post.
I got 700 views on my first post.
You need to keep iterating the content.
You have to spend the time letting it learn, find out what's best and honestly, don't mark the work too much.
Make it look how you want.
Like, I obviously perfected the text to make the text look correct and readable, but this post proved that they actually know best.
They've got all the metrics they need to create the perfect content.
Just let them go nuts on it and figure out why.
And then you can see here, it starts working extremely well.
Like 109 000, 75 000.
He has a, he has a miss 25 76 200 130, but this is where it gets so interesting.
So obviously the landlord hook was our highest performer and it's our constant high performer.
But you can see, here it only gets 2 000 views.
So we do mum and then mum 100000, 75000.
Then we do landlord again and it's only on 7,000.
Okay, back to mum, 25,000 and then landlord 76,000.
So, okay, gives him a bit of a boost.
Nan, 200,000, which is important.
This gets 200,000.
Then I showed my landlord again, 132.
So now you can see that we're just switching between the winners and he's iterating the content that's doing well.
Then at the top, you can see that landlord switches to only 8,000.
We go back to NAN, 70,000.
Landlord again, only 7,000.
Then again 4000, posting that again 300000.
So here he saw this and saw that landlord is not hitting the percentages it was and it's only hit one video in five posts.
And now you can see he's not posted it again.
We've actually tried new content today.
Uh, i've been staring at the same boring kitchen for three years, so he's obviously seen that we're not hitting the hundreds of thousands of views in the last four videos.
So now he is automating this content and changing it himself and we've gone back to the kitchen but put a new hook.
I think this one's only just been uploaded five hours ago, so i don't think it's a fair, fair representation yet.
This one could still grow but um, It's all about learning because obviously the algorithm changes.
It's not just going to keep pumping the same winning content all the time.
So it will start failing eventually again.
But it's all about taking your opportunities when you are getting these high converting videos or high performing videos to try and maximize it back into the app.
So when you say he's coming up with these ideas on his own now like, for example, right now, like he kind of deviated away from what, what you initially agreed upon, did you tell him like hey, go and look at other accounts or specific formats.
Basically, what was your conversation like with him, such that he has become independent and he seems to be coming up with new hooks that seem to be –, you would think, are somewhat validated?
Yeah, so he's going back to his research to see what was working.
But recently, where we haven't been hitting the high converting videos, I've actually done a bit of manual brainstorming with him today.
And I could go into this with you.
Let me just try and catch up to where we are.
So he's got my analytics.
I also sent him some screenshots of things and he got it wrong.
But he thought he sent 37 drafts, but it was only 37 new notifications for TikTok.
Anyway, I asked him why he's chosen some hooks that he's generated because they didn't sound very good to me.
So you can see here he goes through.
Here are my hooks, based on the winning formula a family member roast plus a specific insult.
Plus, showed them AI.
So then he, he explains himself of these are working.
These were getting views.
These are proven forms.
And then I've said, I don't think that looks like hooks are actually the best ones.
I think the could be ones or what AI thinks it could look like ones are.
So yeah, He goes, you're right.
Looking at the data again, the winners aren't insults, they're reveals.
And then he explains himself, 200,000 views, this one got 109, this one got 419.
And then he realizes the hook is curiosity and AI.
And then I'm just like, it gives me some things.
To be honest, I didn't even read them.
I just saw the numbers were pretty much the same.
And I said, just generate one of each and then tomorrow we'll do one of each one again.
So now he's set up a cron job that tomorrow he's going to post this one, this one and this one, then this one.
2, 7, and 10, and then 3, 8, and 11.
And again, I just trust him with that.
We based it off actual analytics that he's getting from TikTok.
But we did a whole brainstorm of going into what's driving revenue, what's actually getting revenue.
And the most interesting thing he's done recently, I can go back to my analytics.
He has completely rewritten my onboarding because he has the analytics from my app.
And you can see here, it's massively helped.
This got published two days ago.
And this is the most new users I've had in a day for a long, long time.
So you can see that one day, one day, 22 hours, 10 hours.
This one was one hour ago.
And the new subs are just coming in.
Unfortunately, there's high churn.
So people are subscribing and then unsubscribing.
That's a whole issue in itself.
And if you've built on that before, you'll understand that.
But it's incredible that, as I said, it's not just the TikTok creation.
It's actually the drive-in driving to the app and I've given this all away for free.
So this is how a lot of people probably know about me.
I wrote a viral article because I hate marketing.
I figured lots of other builders hate marketing.
It was on my x feed all the time how people don't want to do it, etc.
So I was like right, I'm going to free everyone from doing this.
This is the exact playbook, and I wrote the playbook and And then I just started learning about skills and how.
Skills are just going to, in my opinion, change how we know SaaS altogether.
So I created the free Larry skill.
You can install it.
It gives your agent everything you need to install it.
That's on larrybrain.com and it's called the Larry Marketing Skill.
But how skills are going is just incredible.
OpenCRAW really feels like when the PC first came into the home and a select few power users were using it, and then it got picked up by everyone.
Everyone realized how powerful these things can be, how much use they can have.
And that is where OpenCRAW is.
People are only just discovering the capabilities of it.
And... skills are infinitely powerful because they're not just a black box.
So anything that you download from Larry Brain, you own that thing.
So I released another skill on there, which was to prove that SaaS products no longer have to be hosted in the cloud.
They don't, they no longer have to be hosted on a domain owned by someone else.
So I made a super X alternative.
Um, I like the super X product.
I just used it as a proof of concept that you can build SAS products as full skills.
Now you no longer have to pay for hosting.
You no longer have to pay for a domain.
You no longer have to pay for storage, handle authentication.
You can download products locally and the whole uh, look at what i built local host meme has come true because you can host this locally, because open crawl is a server on your home machine and it's very important to remember that these skills aren't a black box.
So when i created this excellent skill, i got told that the um, i got told that the colorway was terrible and they hate it.
I was like well, just ask your agent to change it, then You own it.
It knows everything about this skill.
It's all in the skill MD file.
You no longer have to be at the mercy of the developer.
If you don't like something, if you don't like the UI Larry, if you don't like the image generation of a video, if you don't use the same backend for the app I use, then plug in your own stuff.
It's a skill.
It just teaches your agent.
The best way to think about it is...
When Neo gets plugged into the Matrix and he wakes up and he knows Kung Fu.
That's exactly what a skill is.
You give the agent the context and then they have it.
And you let it rip.
So is your vision for Larry to remain as a marketing assistant?
You know, so for example, if...
If you decided like, hey, I actually think I need help with conversion rate optimization.
I need help with brand design.
I need help with product design.
Does it make sense to create a new instance, or are you then going to use Larry as both a marketing assistant and a product assistant?
So Larry is now my right hand man.
So he has the context of everything.
So of course I built Larry Brain with Larry's help.
He has the full context of that and the best thing that we've been doing is where we've been building them as skills.
He can one revert back to the skill file.
But also we've been creating our memory files for each of our of our projects.
So he has a larry brain memory file, he has a larry marketing memory file and everything we've been doing he can revert back to.
So if he ever loses context, i'm backing up these files.
If he ever breaks dies, if i ever want to move to a different machine, i have these files that i can just move and plug into a new computer i can give back to him.
Or if he loses context, just say look go, look at these files, read through it and learn it again, and And then he's back in the game.
Don't even mention Larry dying.
Don't even put that juju out in the world.
Come on.
That's just... I don't need that.
Come on.
He looks old, but... I don't know how well that shows, but...
The fans have been white for so long that the LEDs are dying and they go in this pinky, purpley color.
That's how old the PC is.
The lights have literally been on for so long that they're losing their color.
Are you using any local models?
Talk us through what models you're using.
There's a lot of debate now around Opus.
46 ChatGPT, I think, launched a new one.
What is it 54?
Yes, so i?
I was so close to move into open ai the other day, but their, their useful model, their useful plan that i'll find useful is 200 pounds a month.
Uh, the one before that is 20 and that's a huge leap.
If you're not going to find use and you just want somewhere in the and I just use the £90 a month plan because I don't need the full one for £200.
I do slightly more than the non-pro plan, so it fits perfectly for me, and I think that's what lets OpenAR down.
I've not tried any of these edge case models like Kimi or something like that, just because, to be honest,
Not that I don't trust them.
I just don't think they've had enough real world use.
I'd rather go with the market leader and things like AI because, let's be honest anthropic, open AI are the cutting edge.
So I'm going to stay there and trust they know what they're doing.
New benchmarks coming from OpenAI suggest 5.4 is a little bit better than 4.6, but tough to say.
I think for most people what they should do is just get started.
You don't need to worry about is OpenAI a little bit better than Anthropic.
The reality is you can think of it as like Ferrari and Lamborghini.
Both cars are going to go fast.
And one day one car might go faster and another day another car might go faster.
But that's the way to think about it for now.
Although a lot of people are saying just use this, just use this.
I just think that people over-optimize.
That's kind of my point.
Yeah, I think people are massively over-optimizing.
I'll go far as to say 98 of users won't notice the difference between the tiny increments of 46 to spending the time to switch to the latest open ROI model and they probably wouldn't even notice the difference.
I would just pick one, learn it, learn how it works.
Figure out how it works best for you and start teaching it.
I think with things like open crawl, it's not so much how the model works, it's how you're working with it and how you're using skills and the context it has around those skills.
What do you say to people who... who've seen OpenClaw, who might have installed it, barely used it, but have also seen CoWork and some of these other cloud-hosted, Manus now has an OpenClaw competitor.
A lot of these CoWork cloud-hosted versions.
My point is, why is OpenClaw better than whatever cloud alternative exists?
The key one is you own it.
It's in your house.
You own the files.
You have a lot of control over it.
However, I use Manus a lot and I think Manus is excellent, especially with the integrations it has out the box.
If you're sat on the fence about, if you think OpenCRAW is going to be useful to you and you're one of these crazy people that wants to buy a Mac Mini just for OpenCRAW, I would highly recommend just starting with Manus, seeing what you can achieve with that.
And you definitely don't need a whole Mac mini for OpenCore.
The minimum requirements are very low.
Just get something that hits those minimum requirements and has a lot of storage to store all the work that you do on it.
I remember when I learned how to ride a bike.
My first bike, first of all, was not a bike.
First you need to learn how to crawl, then you need to learn how to walk, then you need to learn how to run.
And then your first bike was a bike with training wheels.
It was basically a bike that you can't fall off of.
And that's basically the equivalent of a madness or the equivalent of a co-work.
You can't fall off.
Well, there are some things that you can do that... could be bad, but it's rare and far between.
Once you've gotten to that point where you feel comfortable and it's almost boring to be on training wheels, then go and grab a computer, install something like OpenClaw yourself.
There's also some offshoots of OpenClaw, I'm sure you've seen.
I probably want to do a whole episode on.
What are these?
I think like Nano Claws one.
What are some other ones?
They're all based off the same OpenClaw technology.
Again what you said.
Now we're riding motorbikes with OpenClaw.
When you get bored of that and you want to move to the Tron world, then start testing other things.
But you're at the mercy of the internet.
Who is maintaining these things?
I think now OpenAI own OpenCRAW.
The security is going to get a lot tighter.
Things are going to be a lot smoother.
You don't want to be at an edge case where you don't really know who you're at the mercy of because, if there's a vulnerability, the things that you are storing on these machines are very valuable and you won't want them to get lost, especially if you're connecting them to every device in your home.
You don't want everything on every device that you own getting out, because I'm sure we can all imagine how bad that could be.
Absolutely.
For people who want to get started, we can leave it at this.
What do you suggest and And just fire people up about this.
What can you say that fires them up to motivate them to actually do this?
I think if you want to get started, Larry Brain is the best place to get started.
It is not just a skills marketplace.
It is one subscription and your agent gets the entire context of all the skills.
So when you first get OpenClaw you will ask it questions and it won't know how to do stuff and you have to give it skills.
If you get Larry Brain, you get the context of the entire marketplace.
So you can ask your agent to do something.
It will say, oh, there's a Larry Brain skill available for that.
Do you want to download it?
You download it and then it can instantly start helping you.
The Larry Skill is one of them.
The Super X Alternative I mentioned is one of them.
They're both free.
So you can get Larry Brain, test it, find out how it works.
And then we've got over 80 skills now available for you to download.
And its main goal is to help you achieve your goals.
So you say, I want to do this.
I want to make more money.
Oh, here are the skills available to help you do that.
I think that will massively help anyone download an open crawl for the first time, speed up.
And I think a lot of the people who you mentioned who are stuck, they don't know where to go with it.
They downloaded it.
It's not working for them.
I think that's going to supercharge their open crawl account.
Yeah, all right, man.
Well, I'll include links for where to go get started there.
I'm not affiliated with it at all.
I just wanted to bring you on because I think that you're building cool stuff.
You're trying new things.
You're pushing the edges.
Thank you.
Creating an AI employee that does content creation is really, really interesting.
And it seems to be working.
I think a lot of people are going to fail at it and you sort of have to fail your way to it working just like anything in life.
You got to stick with it.
You got to stick with it and keep going.
This podcast is is really designed not only to get people's creative juices flowing, show them new tools, show them things like Larry Brain, but also just to show that.
I love how you showed that not every content piece ripped it.
I don't want to fake anything.
That was the authentic story.
I'm training it again on a new app.
I've seen failures on X. Someone wrote a post how they've used Larry Brain.
Ernesto Lopez has used Larry Brain to scale to over 70,000 MRR.
He's implemented it in his apps.
Using his already created content creation, he's implemented the Larry loop to improve the content he was already creating and was already winning.
And he's had massive success.
That's crazy.
What's his name?
Ernesto Lopez.
Oh, Ernesto.
I know Ernesto.
I just had coffee with him.
Oh, did you?
Yeah, he lives in Miami as well.
He wrote an article on X about it.
Yeah, that's awesome.
Ernesto creates a suite of mobile apps using AI, so he's very AI native.
He's a young guy, he's in his early 20s.
Absolutely killing it.
Yes, like you said, $70,000 a month.
This is a guy who was like, Working a sales job a few years ago.
Didn't go to a fancy college.
Didn't come from Silicon Valley.
So the fact that there's these really interesting stories like Ernesto, like what you're doing, I just think is really cool.
And it's cool that you have a full-time job.
This is something that you're doing Right?
You have a full-time job, right?
Yeah, I've got a full-time job.
And to be honest, it takes me no time at all now.
So this is the superpower of the AI agents.
And I can't stress enough.
I know so many people who are working full-time now and then they can vibe code an app, vibe code their marketing, vibe code, everything to just automate that little bit of money that might be able to turn into something like what Onesto has created.
And then it's all about learning.
So at the moment I'm creating hundreds of dollars.
If I just implement my learnings a little bit more, improve my apps a little bit more, it can turn into thousands, and I'm not even trying.
So it allows me to work a full-time job, and then it takes me an hour or two hours in the evening of literally texting or sending a voice note to Larry, and then it gets done.
So It's just like having a right hand, duplicating yourself and being able to give it tasks and enjoy all the laziness and comforts that you have.
Amen.
And before we go by the way, just because we're talking on skills, I did find an open class skill that cuts token usage by 95.
It's called QMD skill.
Does it work?
I am going to try it tonight, but I'll include it in the show notes in the description, just in case people are interested.
It allegedly works, so we'll see.
It's just fun to try these things and try to get the most out of these machines.
Oliver, thank you so much for coming on.
You're a breath of fresh air.
I love your honesty.
I love that you're tinkering and hopefully I'll see you soon.
Thank you very much.
