[00:02] people can build five-figure per month businesses just from their laptops. No team, no office, no VC funding, and the ones doing it aren't just selling complicated AI workflows. In fact, they're really selling outcomes, the
[00:15] results, and they are using simple AI systems as the vehicle to deliver these results faster and cheaper than anyone else [music] on the market. I know this information because I'm doing it myself, and in this video I'm going to show you
[00:27] exactly how. [music] The case study, the workflow, and the tool I ended up building off the back of this. For some quick context, I run a bunch of online businesses, some AI and some non-AI related, and collectively they generate
[00:39] me over six figures per year in profit. And I've done all of this without having a coding degree or background in software engineering. Instead, by using which in a way has become my ultra-productive octopus with the IQ of
[00:53] Albert Einstein. But here is what 99% of people get wrong when they try to start an AI business in 2026. They get all excited, launched their offer, and go to a client and say, "Hey, I build AI automations and AI agents." And the
[01:05] prospect just stares at them blankly because business owners do not care about the technology, they care about the result. The people actually making serious money with AI right now, they're not pitching AI, they are pitching
[01:17] outcomes [music] which become easier with AI. Your offer needs to pivot away something like, "I'll sign you five brand new clients this month." Or "I will cut your entire production time in half." Or in my case, "I'll make you
[01:30] your best performing ad in under [music] 24 hours." And then behind the scenes they are using AI to deliver that outcome faster, cheaper, and at a higher margin than any traditional agency could. That, my friends, is the
[01:42] going to show you. You're not selling the tool in AI, you are selling what the tool produces. So as promised, let me give you a real-life example because I actually went through this entire process myself. As part of my media and
[01:55] marketing agency, one of my offers was creating AI ads for my clients. So, I've created static ads for multiple six-to-ten-figure companies across e-com, SaaS, etc. And these creatives are being scaled through Meta for
[02:07] dollars. Now, traditional creative agencies doing this work, they are slow and expensive. Plus, they are charging a premium for this sort of content. So, I came in and pitched these brands at a more affordable rate and a quicker
[02:21] turnaround time. And I was winning these clients and the best part, my ads were better. But, here's the thing, I wasn't creating these ads the traditional way. I was using AI at every step of the process to ideate, iterate, and generate
[02:33] time. My clients didn't care how I did it. They cared that my ads were faster, their spend using them. So, once I realized that, that was the entire model I ran with. Sell the outcome, quicker, scalable ads at a fraction of the cost
[02:48] using AI as the content engine under the hood. Now, this sounds amazing, but doing this. The first problem was the workflow I built was super complicated. I mean, creating good quality AI ads is still a lot of effort. You've got to
[03:01] come up with the ideas, iterate, prompt, and generate the results. It involved multiple different AI tools with a lot of back and forth. And as I tried to a headache. It wasn't something I could just hand off to a new hire and say, "Go
[03:14] lot of creative thought throughout the process. And secondly, anyone that's running agency knows this, with more clients means more customer service needed. Because it's much better from a stress standpoint serving five clients
[03:27] the model worked, but I wanted to make months. So, I did something genius. I turned this entire workflow into a product. Mockingbird is what happens when you take a super complicated AI
[03:41] workflow and strip it down into the parts that matter most. Here is exactly steps. Step one, you paste in your website URL, drop in some product Mockingbird's agents read your brand [music] style, tone, target audience,
[03:56] and offer. All of this is done in about 60 seconds. Step two, you then get shown a curated library of winning meta ads. I'm not talking about a library where you see every meta ad under the sun. No, I'm talking about only the winners. Ads
[04:08] that have had thousands, if not millions of dollars run through them. Hand-vetted like the look of them to reproduce. And then step three, Mockingbird will recreate the hearted ads, but it will be for your brand, the colors, the offer,
[04:21] the product photos. Ready to download in just 3 minutes [music] and test through meta. That is it. You're not staring at a blank page or trying to prompt [music] from scratch. You are cloning already proven and winning meta ads with a click
[04:33] of a button. That was the workflow I was using with these six to 10-figure [music] brands, and I just condensed it into Mockingbird. Literally building an that I was selling. Now, you may be asking, Dennis, who is this actually
[04:46] Well, if you are running an e-com or SaaS brand, it makes perfect sense to use Mockingbird, right? You get scroll-stopping, proven meta ads without waiting weeks or paying thousands of dollars. Ready to test for your brand in
[04:59] gets even more interesting for solopreneurs, because Mockingbird was the exact arbitrage play that I was running, but now it's productized. So, you can use Mockingbird to create high-quality creative assets for brands.
[05:13] SaaS clients with a done-for-you service. You are able to charge agency rates as you are creating the ads for your clients. And you can create a batch >> [music] >> not weeks. That's your USP. Plus, your
[05:26] margins are enormous because you are paying for software to do the leg work this video, you're not selling Mockingbird. You're selling faster and better performing ads at scale. Mockingbird is just the vehicle to get
[05:38] you there. That is the one-person AI business in its purest form. Tangible outcome, AI is the vehicle taking the client to that outcome. In fact, anyone that's read Alex Hormozi's $100 million offer will remember the value equation.
[05:50] Value is equal to dream outcome times perceived likelihood of achievement divided by time delay times effort and sacrifice. Well, the dream outcome is scalable profitable ads, which is a very good dream outcome for brands as they
[06:03] know Meta ads is pivotal to success. The perceived likelihood of achievement is created the best performing ads to replicate. And then the time delay is low because AI is making the ads in minutes rather than humans doing it in
[06:17] this service, the effort and sacrifice the agency doing this for them. If we plug all of that into the value equation, you can see how this is quite literally the perfect offer according to
[06:31] can use Mockingbird to run this same service that I was doing before building it down below in the description and in the pin comment. But whether you do or do not want to run this static ad agency service, the real trick here is
[06:45] understanding that AI is always going to be the vehicle. Do not try and reinvent the wheel. You don't need to make the next Meta or Google. Instead, just think of an outcome that businesses want to achieve, think of an outcome that is too
[06:57] slow or too expensive, and then think how can AI make that outcome quicker, cheaper, or ideally both. Even if it's only a 10 or 20% improvement, that can be 10 or 20% extra in your margins. And over enough clients, that can make a
[07:11] massive difference and build you a five or potentially six-figure a month static ad prompts that I use when generating static ads for my clients, then DM me the word static ad prompts on Instagram. And if you want to know the
[07:24] full system for using Mockingbird to clone winning ads at scale, you got to It's just 5 minutes, but you'll learn an awful lot about how to run this exact AI service yourself. I'll see you over there.