[00:02] I'm going to show you exactly why. Here's the big idea. There's a new way to run AI where it checks its own work. You don't sit there all day, you don't type prompt after prompt. One AI builds the thing, a second AI grades it, and it
[00:15] keeps going until the work is good. People call this Loop Engineering, and it's real. Back in June 2026, some of the smartest people in AI all said the the main thing anymore. The loop is. Think about that. For 2 years, everyone
[00:29] said the trick was writing the perfect prompt. Now, the smart folks say the prompt. So, what does that mean for you? Let me make it dead simple. Right now, most people use AI like a kitchen where
[00:41] nobody tastes the food. It goes straight from the pan to the customer. Some of it who finds out? You do. You become the taster. You catch every mistake. You control. And the second you stop
[00:54] checking, junk goes out the door. This loop fixes that for good. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO helping clients get more leads and customers, I'm here to help you get the
[01:07] latest AI updates. Julian Goldie reads every comment, so make sure you comment below. So, let me show you how it works. Plain and simple. You write down what good looks like in one sentence. One AI builds it. A different AI scores it. If
[01:20] it passes, great. If it fails, it loops back and tries again. You pick how many rounds it can run. You could say loop 20 times until it's done. Then you walk first step, because this is the one people rush. You have to tell the system
[01:33] what good actually means. Some folks call this the goal, or the definition of done. If your goal is fuzzy, every step after it is fuzzy, too. So, don't just say make me a page. Say make me a landing page for the AI Profit Boardroom
[01:46] with a clear headline, three benefits of joining our AI Automation Community, and a big sign-up button at the top. See the difference? The clearer your one sentence, the the the whole thing runs. Get that sentence right and half the
[01:58] work is already done. And here's the part that matters most. The builder and the judge are never the same AI, ever. Why? Because AI is a terrible judge of its own work. Same reason you can't proofread your own writing. You read
[02:11] what you meant to say, not what you actually wrote. There's real research on this. When an AI grades its own homework, it almost always says, "Looks every time. So, you need a fresh set of eyes, a second AI holding your goal in
[02:25] its hand, catches the obvious junk. Broken buttons, weak headlines, missing chunks, stuff you told it to do that it ignored, the stuff that eats your whole afternoon. And the researchers found one more rule worth knowing. The judge
[02:38] shouldn't just be a different agent. It should be a different family of AI, too. Because if the builder and the judge are too alike, the judge gets soft, same way a friend goes easy on a friend. A judge from a different family stays honest.
[02:51] Small detail, big difference in what you get back. Let me give you one quick example. Say you want more people in the AI Profit Boardroom. You tell the builder, "Write a welcome email for new members that points them to their first
[03:03] then the judge reads it and asks, "Is it warm? Is it clear? Does it tell them the next step?" If it misses, it loops. You get a clean email without writing a word "I'm not a tech person. This sounds like something only coders can do." Nope. If
[03:18] you can describe the job in one sentence, you can run this loop. That's code, you're writing one clear sentence and letting the machine do the rest. Now, before I show you a real run, quick pause. Because this is exactly the kind
[03:31] of thing we set up together inside the AI Profit Boardroom. We built the whole thing into something called the Agent OS. It's a ready-to-go system with the wired together. You grab the full zip file inside, install it, and it's ready
[03:45] to run. No hard setup. And here's the best part for your business. We show you how to point this loop at the stuff that actually brings in customers. Your landing pages, your welcome emails, your follow-ups, four coaching calls every
[03:57] week where we build this loop with you live and aim it at your own leads and content. Daily step-by-step tutorials and a room of business owners running Hermes and this exact loop right now, so you're never stuck. Link in the comments
[04:10] and description or go to the AI Profit Boardroom. Okay, back to the loop. Let me show you what a real run looks like because the numbers make it click. Round one, the work scores an A out of 100. Rough. Round two, it jumps to 85.
[04:23] Better. Round three, it hits 100. Perfect. It passes the gate and ships better and better on its own. That's the magic. You're the customer here and the customer should never be the quality control. But with normal AI, you always
[04:38] are. This loop takes that job off your plate. And notice what happened between round one and round three. The judge didn't just say bad, try again. It said why. It pointed at what was wrong. The headline was weak here. This part was
[04:50] the builder fixed those exact things. That back and forth is the whole engine. Two brains passing the work between them until it's right. Now, here's a smart money-saving move most people miss. You don't need your best AI for the building
[05:04] part. Building is just building. So, you can use a cheaper, faster AI to crank out drafts. Then you save your strong top AI for the judge because judging quality is the hard part. Think about why that's clever. The builder might run
[05:17] 10 times before the work is perfect. If every one of those runs used your most expensive AI, that adds up fast. But the judge only needs to be sharp. So, you put your strong AI where sharpness matters and your cheap AI where it's
[05:30] just cranking out drafts. Same great result, way less cost. And you might ask, what if the judge gets it wrong sometimes? Good question. Here's the answer. The judge doesn't need to be perfect. It just needs to be separate. A
[05:42] separate grader holding your goal will catch the obvious stuff every time. That every tiny thing, but it'll catch the ignored instruction, and that's the stuff wrecking your day anyway. Now,
[05:55] let's talk about the shapes this loop can take because there's more than one. The first is the simple loop. One builder, one judge, round and round until it passes, clean and easy. This is where you start, and if you never went
[06:07] week. The second is a team of agents. builder and one judge, you get a whole crew. Say you're making a video to bring You'd have a planner, a writer, a builder, and a judge who checks the
[06:21] final thing. You drop in the task, it gets split into smaller jobs, and each agent handles its piece. Then the judge signs off. It's like a real film crew, calls in sick. The third one is my favorite. It's a group chat between your
[06:34] come up with a lead magnet that gets more business owners into our AI forth. They talk to each other, they check each other. And when something plugged straight into your build. And here's a detail that's bigger than it
[06:48] sounds. Every single thing you build gets saved in its own workspace, so it made something great with AI and then lost it forever in a wall of messages? A saved workspace fixes that. Everything has a home. So, which shape do you use?
[07:02] Easy rule, simple job, use the simple loop. Big job with lots of parts, use the team. Fuzzy idea you want to shape, use the group chat. And this is where Hermes comes in. Hermes is a free, open AI agent from a group called News
[07:15] this. It runs on its own in the background. It has a built-in timer, so few minutes. It remembers stuff between runs, and it can build its own little skills over time. That last part is a big deal. Most AI forgets everything the
[07:29] second you close the tab. Hermes remembers. It gets a little smarter picture of what that looks like. You set Hermes to check your landing page every 15 minutes. If everything's fine, it logs it and stops. If something breaks,
[07:44] it opens a fix loop, patches it, checks its own work, and only stops when the doing something else. Now, think about the gap this creates. While one person is still copying and pasting into a chat window all afternoon, you've got agents
[07:59] the clock. That's the gap, and it's growing every single day. Every week you wait, the people using this pull further ahead. So, the best time to learn it is to give you an edge. But look, I'll be honest with you. There are a couple of
[08:13] catches. If your goal sentence is weak, the loop will happily pass weak work. The loop only meets the bar you set, so set a real bar, and if you let it run keep going and going. So, you cap it. Say stop after 20 rounds. Simple.
[08:28] loop run long, and that's really the whole thing. You set the goal, the builder builds, the judge checks, the loop runs while you go live your life. So, here's your move if you want this done for you. Come join us inside the AI
[08:40] Profit Boardroom. Because the agent OS I mentioned, you download the full zip file inside. The loop, the judge, the team of agents, the Hermes setup, all skip the hard part and start using it today. We've got four coaching calls
[08:55] you and aim it straight at your business. So, it's finding leads and fixing your pages while you sleep. A fresh, step-by-step tutorial from me every single day. A prompt library built around these exact Hermes workflows. map
[09:10] so you can connect with other people running this stack near you and get help online. Link in the comments and description, or go to the AI Profit Boardroom. And if you want the full process, the notes from this video, and
[09:24] over 100 AI use cases just like this one, join the AI Success Lab. It's our video notes in there, plus a room full of members figuring this stuff out together. Links in the comments and description. Set the goal, let the
[09:38] builder build, let the judge check, and let the loop run while you go live your life. That's the whole game. I'll see you in the next one.