He Fired His $5K/Month Agency For OpenClaw Agents

0:00In this video we're going to be going over how a content creator replaced a $5,000 a month agency using a simple voice note through Telegram using Open Claw. People are making money with Open Claw, you obviously know that's happening and the whole point of this video is to kind of show you the proof. I'll have links down below of what people are building, how they're automating their business, and how they're saving money and making money at the same time. I'm going to break down exactly how he built it because this use case does hit close to home for me. I run a full content pipeline myself with 13 AI agents on the Mac Mini and the parallels between his setup and mine are very similar. So this guy is from Augmented Startups. He's a content creator who produces content for

0:45clients, not just his own brand, but client work as well. He landed a new client, a company called Lucid View, and he needed to produce content for them consistently. Images, videos, text posts, all the LinkedIn content, and all of it on brand and on schedule. And at first he was doing what most people do, he was just sitting in Chat GPT or Claude prompting over and over and over, regenerating outputs, copy-pasting things between tabs, reformatting everything manually. And that's exactly what I had been doing, you know, for a year on this channel and then 4 years prior to that when Chat GPT first came out. I was using it for our resale business and creating resale content, just copy-pasting things from this window to that window. It you can get

1:30burned out so fast. And this person, you know, it was taking him a half a day just to get content out for a single client. He said something in his article that really hit me and I want you to hear this because I think it applies to almost anyone watching this type of video. And he said prompting isn't automation, obviously. It's, you know, if you're going to be reprompting over and over just to get the content out, you're just doing manual work just faster. And that is pretty true. You know, how many of us have fallen into that trap? I have. You know, you think you're being productive because you're using AI, but really you're still the bottleneck. You know, you find yourself more productive, but at the same time you find yourself doing more work. You're still sitting there clicking buttons, waiting for outputs, copying text, pasting it somewhere else, and

2:15then reformatting it, whatever. You know, and then you do the whole thing over and over again for the next piece of content. So basically he went through three stages of building his system and I want to walk you through each one because they're each a lesson on their own that you can learn. Most people get stuck at this stage and, you know, they try to figure it out and then they quit. You know, they get stuck in stage one or stage two and then they burn out. You know, stage one was basically pure prompting, just him and the AI going back and forth in a chat window. Half a day per client minimum. Context rot kept happening where the AI would slowly drift off of the brand voice the longer the conversation went. Hallucinations popping up everywhere, factual mistakes, having to regenerate three or four times

3:02just to get one usable piece of content. Does this sound familiar? Because if you've been working with Open Claw or any Claude code tool, you know going through those compaction events, your output gets worse and worse as it goes. And, you know, this is where most people this is where they're they are right now and this is where people give up. You know, they think this is what AI content creation looks like. It's not. That is just the starting line. You're doing manual labor with an AI assistant, basically, and that's nowhere near automation. Stage two is building a dashboard and this is where things started to get more interesting. He actually vibe coded a full marketing dashboard. Now he made an interesting choice here. He could have used N8N, Zapier, or make.com to chain against all

3:48these workflows together. And about this time last year all of those platforms were popping off. And now I hardly even see anything about N8N or make.com or Lindy. Whatever happened to those companies? Hmm. But he said it was faster to just code the dashboard himself using AI. Real quick, before we keep going, if you're watching this and you want to actually build with some of these tools, not just watch videos about them, then you're going to want to check out our community down below, Shipping School. We have a full Claude code course, a full Open Claw course, and four live bootcamps every single week where we actually help you get set up from scratch. Like actually set this thing up, not just watch and figure it out by yourself. And we also provide one-on-one coaching, so

4:34you could book a call with me, we could share screens, and I can help you get Claude code or Open Claw running on your machine. That's it, no fluff. I built this community because watching YouTube's only gets you so far. We launched it just 3 days ago and we have over 55 members. You need people around you who are actually building, people who hold you accountable, and coaches who can help you when you get stuck. I'll put the link in the description down below. Get in now before the price goes up. The dashboard stored the client's brand knowledge in a database, in their voice and in their coloring, all of their style and their messaging pillars. That's pretty cool. Every prompt went through that knowledge base first, so the AI was always on brand. You know, there was no more context rot because the brand identity wasn't in the

5:19chat history, it was in the database. And this dashboard could do a lot. It could like generate content ideas based on the client's niche. It can create the images, it can convert those images to videos, it can write different hooks for the same piece of content. It can generate those LinkedIn posts and publish to social media, all from one interface with buttons for each function. Really similar to what I have going on in my mission control. So he said this dashboard was amazing, way less hallucinations, way more consistent output, and way faster than prompting back and forth. He thought he'd reached the final form of content automation, but there was still one problem he couldn't ignore. He was still the one clicking all the buttons. Generate this,

6:04wait 30 seconds, generate another thing and wait a minute. Oh, go to this tab, click publish, go to the next tab. Sounds exhausting. So even though the AI was doing the creative heavy lifting, he was still managing every single step of the process. He was still the bottleneck, just a slightly faster bottleneck. And here's where something where that normally he would have just hired someone to manage the dashboard, which makes sense. It's like get a virtual assistant, you know, pay them whatever from the Philippines or Vietnam. Um, that would be the logical step, you know, let them click the buttons. But he said hiring is the last resort. And honestly, for a solo creator like me or you and small businesses, it should be because hiring adds cost. All of this management overhead, such a pain

6:50in the butt. Training time and all the dependency on another person, I don't know, sounds risky. We're in the age of AI agents. Why can't we just auto this? So, you know, like for example, if a person gets sick or quits, you're back to doing it yourself. Here's where he dropped a concept that I think is what we should be applying. And I want you to remember this. He calls it the Goldilocks zone of automation. He said that if you're still doing more than 50% of the work, you're not really automating anything. You need to hit 80% or more for automation to actually change your life. Below that, you're just using a fancy tool. You might be saving some time, but you're still chained to the process. Above 80% you've actually freed yourself to focus on the things that you only can do. So I ask

7:36them say to yourself, are you just sitting at your computer clicking a bunch of buttons? We're moving into this more agentic workflow space. Figure out how you can get at least above 70% to feel like you're actually making progress cuz like I said earlier in the video, we have the super intelligence at our fingers, but yet we find ourselves doing more work. We're more productive, but we're working more. Hmm, there's a fine line. So basically he broke it all down like this, you know. Initially a task is 100% with you, with Chat GPT maybe it becomes 50% you and 50% AI, but with a proper tool and agent setup it can get to 10% you and 90% automated. That last 40% jump from 50 to 90 is where the real meat and potatoes happens. Most people never make it that

8:22far because they quit and, you know, they quit before even stage two happens. So stage three, this is where Open Claw comes in. He exposed his entire dashboard as an API. Every single function, content idea generation, all the image and video conversation, all the social media posting, hook writing, that's amazing. All of it just became API endpoints that any external system can call. He then connected Open Claw to every single one of those endpoints using custom skills. Now instead of clicking through his dashboard tab by tab, button by button, just like I've been doing, he sends the one voice note on Telegram, one single note, and Open Claw takes her from there. The agent interprets what he said, figures out what needs to be done, and based on the

9:09request, it runs the entire pipeline. Generate 10 con- I content ideas for Lucid View. Done. They show up in the dashboard minutes later. Create two images and three videos for the best performing idea. Finished. Write three LinkedIn posts with different hooks. It does it. So reviews everything and publish to social media channels. Boom, done. And here's the part that really makes this work. He can stop the agent at any point in the pipeline. He can also jump into the dashboard at any time, review what's been generated, and then make manual changes if something doesn't look right. And then tell the agent to continue from where it left off. That's the human in the loop design that I've been preaching out on this channel since day one, very similar to what I have been building out. I review

9:54everything before it goes out, but, you know, at least I'm at that 80% mark where, you know, I'm the 20% human in the loop reviewing things. This person is not blindly trusting the AI to post whatever, and you shouldn't too at this point. You know, especially if you're dealing with clients, you don't know what might slip through the cracks. So, he does review things, he approves it, and then lets it publish. The AI handles about the 80 to 90% of the grunt work. He handles that 10 to 20% that requires human judgment and gives a little more flavor, a little more taste. So, now let me connect this to what we're running because I know I love making these connections and reverting back to what I'm actually building since it's called the build in public channel. You know, I have the Rizza, he generates all of the content pipeline, all the outlines.

10:40Inspect a Deck handles everything on X and Twitter, whatever you want to call it. We use Post Bridge to use the back end API endpoints for Instagram, LinkedIn, X, all of the social media platforms. And then U-God, by the way, all of my agents are named after the Wu-Tang. U-God does the thumbnail design with custom prompts. The Jizza writes the newsletters about once a every other day for Substack and Medium based on what we're building, what we're doing in the community. Ghostface is the intel gatherer at 5:00 a.m. every morning. So, basically my whole Wu-Tang pipeline is essentially the same concept he's describing, just a little different and it's for me, it's not like serving an actual client base, which it could in the future. Multiple agents handling different parts of the content workflow,

11:26and this is awesome because I'm not sitting here doing it all manually. If you're struggling to keep up with content, well, I'm about to save you about 40 days worth of work. I built something called Content Machine. It's 10 AI agents that run on the Open Claw orchestration, and they handle everything. Scripts, thumbnails, X [music] posts, blogs, outreach, clips, newsletters, all of it. So, I went from 1,000 subscribers to 4,000 subscribers on YouTube days using this exact system. Every single morning I wake up [music] and the content's already done. I spend maybe 15, 20 minutes reviewing and approving them and I move on with my day. It works for any niche, fitness, finance, real estate, marketing,

12:11whatever you are building, and it is 100% completely customizable to your use case. So, you get the mission control dashboard, [music] all of the cron jobs, everything I've built over the last 40 days helping me gain more and more people to subscribe and join the community. So, you plug in your own thing and it molds it to you, it learns how you talk, and it writes so it doesn't sound like AI slop. $97 one time, it's not a subscription. [music] I'll put the link down below and you'll thank me later. But, what this guy did differently that I think is really clever is the voice note trigger on Telegram. Did you guys know you can actually talk to your agents through Telegram? That was in one of the latest updates in Open Claw. It's awesome. You can even get it to talk back to you in a voice note, though it still sounds a

12:57little robotic. You know, one mission, you know, one message kicks off everything for a specific client. I'm actually taking notes on this because that's a cleaner user experience than what I currently have. Right now, my agents run on cron job schedules at specific times. His system is on demand whenever he needs it. Both approaches work, but the voice note approach gives you more control over timing while still being fully automated once it's triggered. I think that's pretty cool. He also made a point that really resonated with me about why chat interfaces fail for workflow tasks. He said, "When you're working on something in a chat conversation, then you switch to a completely different topic, then you need to go back to the first thing you were working on, and now you're

13:42scrolling up through the hundreds of messages trying to find the image you generated or the context you need to continue. Sounds like a pain. Everything gets lost in the conversation history. That's why the dashboard matters. It's the visual layer. It's where everything lives. The agent does the work behind the scenes, but the dashboard is where you review and manage and pick up where you left off. It's definitely the best of both worlds. If you haven't gotten your mission control up and running and you have Open Claw, that's like the next step after security and memory that you need to figure out how am I going to visually interact with these cron jobs and all these agents working and all the things that you want to optimize. The real cost savings is crazy, too, when it comes down to You know, I want to put some numbers on this. He was paying

14:27$5,000 a month for an agency to do all of this client production. That's $60,000 a year. Now, he's running Open Claw with API costs that even at a heavy usage might be only a few hundred dollars a month. Let's say like $300. So, to go from 5,000 to 300 is insane. That's basically $3,600 a year versus $60,000 a year. He's saving $56,000 annually. And the output is arguably more consistent because the brand knowledge is permanently baked into the database instead of depending on whichever agency employee happens to be working that day. He also mentioned something that I think real businesses can be in play here. He's been selling these automation

15:12setups to other businesses for $5,000, $10,000 each. So, not only did he save money by replacing the agency for his own client work, he turned the system itself into a product. That's why I created Content Machine, link down below. It's only $97. If you want content on autopilot, check it out. It's basically a mission control dashboard and 10 AI agents that handle your whole content pipeline. It's fully customizable. Plug in your niche, few API keys, and you have content on autopilot. Same concept. You know, that's the playbook here. That's exactly what I did with Content Machine on ClawMark, and that's why I'm giving it away basically for pennies on the dollar for what other people are charging for a similar system. You know, for anyone

15:57who's watching this that wants to get into content creation, you know, or runs an agency, or manages social media for clients, or just any handling the marketing for your own business, this is the blueprint. You don't need to be a developer to build something like this. Like, you can vibe code an app or a dashboard, and you can connect it to Open Claw, to the API. The pieces are all available right now. The question is whether you're willing to invest the time to set it up properly instead of staying stuck in the prompting loop and giving up. Don't do that. And if you don't know where to start, that's exactly what we teach in our community with over 108 members in 11 days building everything from scratch, building content systems, SaaS products to e-commerce automations. We do now six

16:42live calls a week, and we want to be able to just take that hands-on approach, you know, to be able to walk you through the process. You know, it's not just a core course where you watch things by yourself lonely, and it's more of a hands-on community that we're trying to build. Um, you know, where people actually ship real products. That's why it's called Shipping School. We want you to develop your idea and get it going. You know, we help each other figure things out. I'll put the link in the description if you want to check it out. The takeaway from this video is simple. If you're using AI, but you're still doing more than half the work yourself, you're not in that Goldilocks zone yet. You might be at the stage one or two, and you're thinking you're doing a bunch of work, but you're not. You're just doing more work. The goal is to get you to that 80% or higher. Build the tools, expose the API, connect it to Open Claw,

17:28and let it run the pipeline. You stay in the loop for the decisions that matter, you know, the review, the approval, giving it a little seasoning when it needs, and that's the creative judgment calls that you need to be putting into this, that 10 to 20%. The agent handles everything else. That's how you replace a $5,000 a month agency with one voice note on Telegram. If you guys haven't subscribed already, we release four to six videos every single day keeping you up to date with AI news, Open Claw builds. We'd love to have you. Hit the notification bell to get notified for our next video, which is going to come out in about an hour. We'll see you in the next one. Be blessed.