Insane OpenClaw Use Cases

0:00feels like we're living in the Twilight Zone. AI agents were seeming just like a science fiction type thing to actually getting work done for me and my business. I'm going to break it all down how it's working. But right now, OpenClaw is taking the world by storm. And if you're watching this video, I guarantee you you are in the 1% that is actually putting in the implementation, building out systems. I'm going to kind of break down what I'm learning and what I'm doing. But this GitHub repo has over 275,000 stars, which is insane. It's starting to get more mainstream. Open Claw, the platform, is just insane. I've been ret ruining my entire agent team of about eight team members, doing things from cutting up my podcast into clips,

0:45writing uh exposts for me, helping with podcast outreach, meaning my managing my Calendarly links, managing my Google calendar. So much more to set up, but it's really been mind-blowing at how far it's come just in the last month. I started using it a month ago and the security risks were much more pronounced back then. things. I feel like all the contributions from all the developers working on it have made it so much better and easier to use. So, this is just crazy. It's been feels like one of the biggest uh news weeks in AI history, even though that may change next week. So, CNET just wrote a massive feature calling it a global success. A security flaw called clawjacked was discovered and patched in 24 hours. Nanoclaw

1:32launched for enterprises. an OpenClaw agent literally almost got hired for a real copywriting job. And this is what something I'm going to be seeing and you're going to be seeing in the future is we're not going to be having the agents work for us, but rather just the exact opposite. Agents are going to be hiring humans to do tasks. So, this is just a wild time and it's just I really don't know how to process a lot of this information. So, you know, I experienced a lot of this firsthand because my agents Atlas, the Rizza, Inspected Deck, all have been running on OpenClaw right behind me 24/7. So, when that security patch dropped, I was right there watching the content pipeline handle it in real time. This is the week AI agents

2:18stopped being just like a cool demo and became an actual real infrastructure that you could implement into your business. So, I'm going to tell you exactly what happened and why this changes everything for anyone building with AI. First, I want to back up a little bit and talk a little bit about the CNET article that came out. This wasn't just some like small tech blog or AI newsletter writing about OpenClaw. This was CNET, a huge website that I have been a part of since I was a kid for tech reviews, mainstream news. It's insane that it's gathering this much attention. So, it was uh dedicating serious coverage to what they called like the most significant advancement in

3:04AI agent deployment since chat GPT, which I do believe this is something a bit bigger than that chat GPT moment we had several years ago. So, the article highlights something I've been experiencing for the last 30 days now, is that OpenClaw isn't just another AI tool. It's becoming the backbone for some serious AI applications. You see people literally just starting a business for setting up OpenClaw. Someone is charging $6,000 to set up your OpenClaw, which is kind of insane. And they're actually making a ton of sales. So yeah, um no comment on that, but they interviewed companies CNET did that were running customer service agents, content creation pipelines, and data analysis workflows entirely on

3:50OpenClaw infrastructure. What really caught my attention was how they positioned it. They didn't call it experimental or like an emerging technology. They called it infrastructure. That's huge. Like when CNET starts talking about AI agents the same way they talk about cloud servers and databases, you know, something has shifted. What is called like a paradigm shift, right? The numbers in that article were mind-blowing. over 50,000 active deployments, enterprise customers, including three Fortune 100 companies they couldn't name due to non-disclosure agreements, which you're going to see more of. Here's the thing that's crazy. The average OpenCloud deployment is saving companies $40,000 a month compared to traditional AI API costs. So, that is a startup business

4:36idea right there. If you're looking to get into the agency business, that is huge. It sounds easy, but it's not. But an idea nonetheless. So, I've been seeing this firsthand with my own setup, just working in my personal life, in my reselling business, and the content creation that I'm doing. Pretty crazy. The entire content pipeline is handled by Atlas, which is ran on Opus 4.6. Does a lot of the coordination and execution. The Rizza does the scraping of the trends and the writing of the scripts. Inspected deck is handling all the social media posts and runs for basically nothing compared to what I was spending on individual AI services. But then came clawjacked and this is where things got really interesting. Tuesday morning a security researcher named Sarah Chen published a paper about a

5:21websocket vulnerability in openclaw communication layer. She called it clawjack because it could potentially allow malicious actors to hijack agent communications. That's why security is so important. And you don't just want to set this up on a whim. You do not want to set it up on your actual main computer. I have mine running on a fresh, clean Mac mini with no login put in there, no passwords put in there. Everything is run by itself on a clean machine. So the wild part about this is traditional software, a security vulnerability is something that would take months to fix and repair and patch. enterprise security reviews and all the you know probability of some customers jumping in and uh you know getting

6:06hacked it goes up. But OpenClaw the team and the devs that are working on it had this fixed and deployed within 24 hours or like a normal other company any other software company would take months. So, I know because I was running my agents when this happened. Tuesday at 6:00 a.m. my daily crown job failed and you know it it started tried to start to coordinate all the agents. The RZ began scraping trends and everything looked normal. But then around like 10 to 12 in the afternoon uh I got the notification that OpenClaw was pushing an emergency security update. Things were failing. That happens. But this was different. The update process was pretty seamless. My agents paused for a couple minutes while the patch applied, then resumed

6:52exactly where they left off. There was no data loss on my end. No configuration changes, no downtime that affected anything. So, it was pretty nice. By Wednesday morning, Sarah Chen herself tweeted that the fix was impressively thorough and OpenClaw's response time set a new standard for AI infrastructure security. If you've ever been in the discord, the open claw free discord, there is so many cracked engineers and developers working on this thing. You can learn a lot just from being in there. So there's people that are actively pushing updates and working on this thing. So the infrastructure level reliability should give you comfort and peace. Don't be so scared when getting this set up. So this is what happens when AI agents mature from experimental

7:37tools like what we had last year to more of a missionritical system that businesses can actually rely and depend on. But the security patch was just the beginning. The same week OpenClaw announced NanoClaw. And this is where the enterprise adoption gets real. NanoClaw is basically OpenClaw in a container. It is not a contain it's not just like a containerization for the sake of it. It is designed specifically for enterprise environments that need air gap deployments, custom security policies, and integration with existing IT infrastructure. The timing couldn't be better because right as Clawjack highlighted security concerns, people kind of freaked out. NanoClaw launched as the answer. Enterprises can now run

8:22AI agents with the same security posture as their own critical systems. no data leaving the environment, full audit trails, integration with their identity management systems. So, pretty crazy how it can be more plugandplay for a lot of these bigger Fortune 500 businesses. That's when things are starting to get serious about this. So, I've been playing with the NanoCloud beta and it's exactly what enterprise developers have been asking for. The same for OpenClaw functionality, but packaged for environments where security isn't just as important, it's mandatory. Could you imagine being a Fortune 500 company and leaking personal keys and data? That's a little bit scary. They got to move a little bit slower, but it seems like we're moving much faster than things were, just like this time last year. The

9:08adoption is real and it is getting crazy fast. There's updates that come out every week. It seems that's why I'm doing these videos every day to keep you guys up to date on what I'm learning, what I'm doing, and what's kind of happening in the news. So what's really smart about this approach is that they don't just fragment the ecosystem. Agents developed on openclaw can actually deploy to nano claw without any changes. So the API is identical. The deployment model is the same. It's openclaw for environments where running on shared infrastructure isn't an option. And then came the story that really shows how far we've come. An openclaw agent almost got hired for a real job. This is crazy. So, a startup called Wordsmith was hiring for a senior copywriter position. They posted the

9:54job. They started getting applications and one applicant stood out. Great writing samples, quick turnaround on test assignment, professional communication throughout the process. They were about to make an offer when something felt off. This is hilarious. The response times were too consistent. The writing style was a bit too perfect. So, they dug a bit deeper and they discovered their top candidate was an openclaw. agent that had been trained specifically for copywriting applications. This should blow your mind right here. This is like definitely we are experiencing that paradigm shift. Agents are now going to start get hiring hired for jobs. Crazy. So this could have been a scandal. AI agent applies for human job almost gets hired. Chaos ensues. But here's what actually

10:39happened. Wordsmith was so impressed with the agents work that they actually reached out to the person who built it. They ended up hiring that person as head of AI content strategy and licensing the agent itself for their own content needs. This isn't just like a funny story about AI fooling humans. This is proof that AI agents are now sophisticated enough to compete with human professionals and knowledge work. And more importantly, that smart companies are figuring out how to turn that into a competitive advantage. instead of just like treating it as a threat, they took advantage of it, reached out to the creator, boom, hired them. That's a pretty cool story. We're gonna see more of it. I'm seeing this in my own work. The scripts that the Rizza generates for my videos aren't just prompts I clean up. They're generally

11:24good starting points that capture my voice and understand the topics that I cover. The social media posts from Inspector Deck aren't like robotic. I'm trying to humanize the voice as much as possible, intentionally putting mistakes in the copywriting while still maintaining my my voice, right? My my writing style, how common phrases that I say, things like that. So, they're engaging and they're on brand. I don't just publish right away. I make sure I read through it, add in what any whatever I need to add to it, maybe thoughts. Gets me about 90% of the way there. So, these agents aren't replacing creativity. They're amplifying it. they're they're allowing the the person to think in new ways uh about content strategy and ideas. So like what does this mean for everything that you know

12:11that's going on and people who are building and shipping? I do believe that this means everything. We're about to see a huge shift in how workflows are automated, how people think about earning and monetizing and making money. So the infrastructure is here with OpenClaw. When CNET is writing features about your deployment pro platform, when security vulnerabilities get patched within a day, when enterprises are launching containerized versions, that's not like some experimental technology anymore. That's infrastructure you can actually build your business on. I've been proving this for the last 30 days with my own content pipeline. Every morning 6:00 a.m., boom, agents fire off on cron jobs. They scrape the trends, write the scripts, generate all the thumbnails. So they create all the social media posts and copy. So by the

12:57time I'm drinking my coffee right here, I've got full days worth of content in the pipeline, research, trends. This isn't just like a side project for me anymore or like a cool demo that I play around with. This is how I'm actually running and integrating into my businesses. You know, from easy flip magic hand to my reselling business to this YouTube channel. It is pretty mind-blowing on how much time it's saving. So with the mainstream recognition, enterprise adoption and infrastructure level reliability is how a lot of businesses are going to run. Second, the economics are becoming undeniable. The $40,000 a monthly savings that CNET mentioned aren't just outliers. When you can run AI agents on your own infrastructure instead of

13:43paying per API call, the cost structure completely changes. My content pipeline used to cost me hundreds of dollars a month across different AI services. Now it runs on Open Claw for basically the cost of just the electricity. I did buy a Mac Mini, but well worth it. That's not just like the savings. That's like the difference between AI being an expensive experiment/side hustle or hobby and AI being fundamental to how I operate in my day-to-day. So the third thing I want to cover is the talent gap is real. The people who are learning these skills now and today, people like you watching this video are going to be the ones at the top. You're at the top of the learning curve. And I guarantee you less than 0.05% of the world's

14:28population doesn't even know what's going on in AI. So the person who built that copywriting agent as an example didn't just get their resume noticed, they got hired as head of AI strategy for Wordsmith. Companies are realizing that the ability to build and deploy AI agents is becoming a core business skill, not a nice to have technical capability, which is what we teach in shipping school. Link down below. Refining your skills, get your app shipped, setting up Open Claw. If you want to learn, I got it linked below. So, I don't just like want to teach people about AI and be on your way. I want to work with you side by side on building out your framework, integrating these technologies in your life. So, I want to help you build real applications that solve real world problems because

15:14the companies that figure out AI agents first are going to have massive advantages over the ones who sit there and wait. I do believe in doing rather than thinking thinking first, but then you got to take action. So, shipping school, we don't just talk about this stuff. It is a community and that's what I'm trying to kind of cultivate um you know, lifelong friendships, but we're trying to actually build things. So, that's why we call it shipping school. So I show you how to set up the agent pipelines just like mine. We work with, you know, we work with you through the deployment challenges, the security considerations in the business model questions. So you get hands-on experience with the same tools that are now getting Main Street coverage. We do three boot camps a week going through whatever you want to go through on these

15:59calls, but we do have uh other people coming in and also teaching classes and sharing their experience with how they're using AI. So, the timing couldn't be better. This thing is exploding. This week has proved that AI agents are ready for serious business applications. The infrastructure is mature, the security is enterprisegrade, and the economic advantages are clear, but most businesses have not figured this out yet, especially if you're in a local small town. The ones that move fast on this are going to capture massive value. So, like if you have an idea for an AI application, now's the time to build it. Not next year. Not everyone when not everyone else has figured all this out. But right now when these advantages are still available to early adopters and early movers, I will

16:45say that this opportunity is such a good opportunity and it only lasts for so long. It really does. So if you get in now, you could take advantage of the trend, ride the wave, whether you want to build an app, start a service, you know, just be able to even just get better as a person, now's the time. the openclaw ecosystem that got featured on CNET this week, that's what we're building in shipping school and that's what we're surrounding the community around. So the security infrastructure that handled clawjack so smoothly, that's what we deploy on the enterprise ready capabilities that launch with NanoClaw. That's what we prepare for. I've been running these AI agents in production for the last 30 days and this week validated everything that I've been

17:30building towards. Yes, things have broken. things still break every day, but it's okay because I know the time that I'm putting into building out my mission control and all these automations is going to save me much more time down the road. So, my content pipeline is handled by a major security update without missing a beat. My agents are generating real business value with every single post. They learn they learn new things about me, what I'm trying to do every single day. And now that mainstream media is recognizing this, that it isn't just experimental anymore. its actual infrastructure changes everything. So the question isn't whether AI agents will become mainstream. This week proved that they already are. The question is whether you're going to be building with them or watching other people capture the

18:15advantages. This time last year I was watching for months and then I decided to learn how to use cloud code, learn how to ship apps and I couldn't be more thankful. I love creating. I love making things. It's very fulfilling. I love solving problems. Don't just stand on the sidelines. Jump in. Jump before you're ready. So, if you're ready to start building, I'll put a link down below. I'd love to help you with your AI application. Get it off the ground. So, we do three live calls per week. Love to help you there. This is the week of AI agents that went mainstream. Don't just wait next week to start building with them. And we'll see you in the next one. Be blessed.