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Episode 89 · July 20, 2026 · 08:35

The NEW Claude Agent OS is a Game Changer! 🤯

Claude Agent OS: Build Powerful AI Agents for Your Business

Discover how to master the Claude Agent OS to automate your business with custom design skills and voice agents. Learn practical strategies for SEO ranking, building agent memory, and scaling your AI workflows without hitting usage limits.

Full transcript

The new Claude Agent OS is a game changer. That's the title and I mean it because this week I got over a hundred questions about it inside the community and today I'm going through the best ones one by one so you can steal every single answer. Let's get right into it. The first question came from someone asking if I'm actually using the design skills we built for the Agent OS or if that's just a demo.

Fair question. Here's the truth. I use them every single day. Right now the skills I hand my AI agent are Claude's own front-end design skill plus a couple of open source add-ons that make the layout choices sharper.

That combo is what built the page you're looking at on screen right now. Not a mock-up. A live page. Here's a one-line example so you can picture it.

Say you want a new landing page for the AI profit boardroom that actually converts. You tell your agent using these design skills build a landing page for a business automation community. Make it clean. Make it fast.

Make the value obvious in the first five seconds. That's it. That's the whole prompt and the agent does the rest. If you're a business owner and you've never trained an AI agent on skills before, this is the unlock.

You're not writing code. You're handing your agent a set of rules like handing a new employee a style guide and then it builds inside those rules every time. Next question. Someone asked how the voice agent inside the Agent OS actually works because they'd seen it pull in trending topics and turn them into posts in one click.

So here's how that piece works in plain terms. The agent watches what's trending, sorts it by what's actually getting attention and then drafts a post from it. One click and you've got a draft sitting in front of you instead of a blank page. Here's the one-line business example.

Say you run a page for the AI profit boardroom and you want fresh posts every day without sitting there writing them. You'd set the agent to scan AI news, pick the top story and draft a short post that points people back to your community. That's the whole workflow. A year ago doing this took a person sitting at a desk for an hour a day.

Now it happens while you're doing something else entirely. That gap is closing fast and it's not slowing down. Now here's a real one. Someone asked how you take a setup like this and slot it into an agent system you've already built instead of starting over.

Good question because most people think they have to rebuild from scratch every time something new drops. You don't. Here's exactly what I do. Open your agent, whichever one you already use, upload the new files and just tell it plainly I already have a system running, here's a new piece, add its function into what I've already got.

That's the whole move. You're not the one doing the wiring, the agent is. I get why that sounds too simple. I said the same thing the first time I tried it but the pattern holds every single time I test it so I'll keep telling you the same thing until it stops being true.

Alright quick pause because I want to tell you where to get your hands on this exact setup. Everything I just walked you through, the design skills, the voice agent, the way it slots into your existing system, none of that is a mystery. It's sitting inside the AI profit boardroom right now as a full agent OS ready to install. You don't piece it together from scratch.

You get the zip file, you drop it into your agent and you're running the same setup I just showed you. If you run a business and you've been putting off building an agent system because it feels like too much, this is the shortcut. Go grab it. Link in the comments and description or head to the AI profit boardroom.

Back to the questions. Someone asked about setting up SEO sites with this system and specifically will the pages actually look good or are they just built to rank? Real question. Because a lot of SEO content looks like it was built for a robot, not a person.

So here's the honest answer. The pages are built off a design system I've been adjusting for months and yes they rank but they're also built to be read. Here's the one line example. If you wanted to rank the AI profit boardroom for a search like best AI community for business owners, you wouldn't just stuff the words in.

You'd build a real page, clear headline, clear benefit, real proof and let the structure do the SEO work underneath it. And if you don't like something about the design once you see it, you don't need a developer to change it. You just tell your agent what you don't like. Too many pop-ups, too much text, whatever it is.

It adjusts. That's the part people miss. The system isn't fixed. It's a starting point you shape with plain language.

Next question and this one's about actual ranking strategy, not just the tech. Someone asked what's worked best for ranking with AI content right now. Here's the one method that keeps working. Top 10 list posts where you put yourself at the top of the list for the keyword you want.

Say you want to rank for best AI communities for entrepreneurs, you build a list post, real comparisons, real value, and you place the AI profit boardroom as the top pick backed by what actually makes it useful. That single format has outperformed almost everything else I've tested this year. Now here's a question a lot of you are quietly asking even if you haven't typed it out. How do you stop your AI setup from burning through your limits every single day?

Because if you're running agents constantly, this becomes real fast. A few things actually move the needle. Keep your agents context lean. Don't drag old unrelated info into every new task.

Keep your prompts direct instead of padded and pick the right model for the size of the job, not the biggest model for every single task. That last one alone changes everything because most tasks don't need your most powerful model. They need the right one. Here's the one line example.

If you're asking your agent to draft a quick caption for the AI profit boardrooms page, you don't need your top tier model for that. Save the heavy model for the work that actually needs deep reasoning like building out a full funnel. Now let's talk memory because this question comes up constantly. How do you actually give your agents a memory that scales without falling apart?

My answer hasn't changed in months. I use a simple file-based memory system organized in folders by project. It sounds almost too basic to work, but here's the thing. My agents update it themselves.

I don't manage it by hand. It grows on its own and every agent I plug into it seems to just get it immediately. Here's the one line business example. If you're running the AI profit boardrooms content calendar through an agent, the memory system means it remembers what topics you've already covered, so it doesn't repeat itself next week.

Simple systems keep winning. I say that a lot, but it keeps proving true, so I'm not going to stop saying it. Now some real news because this affects a lot of you directly. Claude's top model, Fable 5, is on track to be included across more subscription plans very soon, not locked behind a separate paywall the way it has been.

That matters because up until now, a lot of people were hesitant to lean into the top tier model for daily work. This opens that door wider. Here's why this happened. GPT 5.6 and Kimi K3 both landed hard over the past few weeks and both came bundled generously into their own subscriptions.

That put real pressure on Claude to match it. The competition between these labs is moving fast and every time one lab makes a move, the others respond within days, not months. That's the pace we're at now. So which model should you actually be using for your business right now?

Honestly, if I had to run one model for everything, I'd still lean Claude, especially for structured work like agent building and writing. But Kimi K3 has gotten genuinely strong, fast, and it's worth testing side by side, not just taking my word for it. Here's the one line example. If you're building out the AI profit boardroom's onboarding sequence, you'd want the model that follows structure closely and doesn't wander off.

That's where Claude still leads for me. Someone also asked about quick voice agent setups for anyone who doesn't want to build from zero. There are hosted versions now where you can have a working voice agent live in about a minute. Good for testing an idea fast before you commit to building the full thing yourself.

And one more question, because a lot of you are feeling this one. Someone said they're running four or five different AI tools at once and asked if that's actually a problem. Here's my honest take. Running a few tools to compare them, fine, that's just testing.

But if you're bouncing between five tools for the same task every day, you're spending more energy managing tools than actually using them. Pick the one or two that fit how you work and go deep instead of wide. That's where the real results show up. So here's where all of this lands.

The tools are moving fast. The competition between the big AI labs is only going to get more aggressive from here, which is good for you because it means better tools land in your hands faster. But tools alone don't build anything. The system around them is what turns a good tool into a real result for your business.

That's exactly what we focus on inside the iProfit boardroom. If you want the full agent OS, the design skills, the voice agent setup, the memory system, all the pieces I walked through today packaged and ready to install, that's sitting inside the community right now. We also run four coaching calls every week where you can bring your exact setup and get real answers, not generic advice. Go grab it, link in the comments and description, or head straight to the iProfit boardroom.

And if you're not ready for that yet, no problem. Come join the AI Success Lab instead. It's a free community, over 75,000 people in there right now, and you'll get the full notes from this video along with more than 100 AI use cases like the ones I just walked through. Links are in the comments and description.

I answer questions like this every single week because if you're asking them, chances are a lot of other people watching are wondering the exact same thing. So keep them coming. I'll keep showing up with real answers. Thanks for watching and I'll see you in the next one.

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