259: What an AI Clone Actually Is

In this episode of the Creator’s MBA podcast, I’m demystifying what an AI clone actually is—and how it’s very different from a chatbot or a custom GPT. There’s a lot of hype out there right now, and while those tools have their place, an AI clone serves a completely different function in your business.

We’ll walk through how clones are built to apply your unique way of thinking—not just spit out generic answers. I share how they can support your clients when you’re not in the room, and why they only work when your frameworks are already clear and stable. If you’ve been wondering whether a clone could help reduce bottlenecks or improve implementation in your programs, this episode is a must-listen.

What You’ll Learn

• The key difference between chatbots, custom GPTs, and AI clones
• Why AI clones aren’t built for creativity or exploration
• How your decision-making process becomes the “engine” of a clone
• Where clones fit best in expert businesses
• Why automation and cloning are not the same thing
• What an AI clone needs from you to actually work
• The kinds of work AI clones should never try to replace

If you’re thinking about using AI in your business—but want to do it responsibly, with clarity and intention—this episode will give you a strong foundation. I also share a real-life example of how AI clones can support implementation in online courses without replacing your presence.

🎧 Tune in and find out if your business is clone-ready.

Mentioned in this episode:

AI Clone Implementation Lab

Transcript

[00:00:00]
 Welcome to the Creator's MBA podcast, your go-to resource for mastering the art and science of digital product entrepreneurship. My name is Dr. Destini Copp, and I help business owners generate consistent revenue from their digital product business—without the need to be glued to their desk, constantly live launching, or worrying about the social media algorithms. I hope you enjoy our episode today.

[00:00:35]
 Hi there, Dr. Destini Copp here, and I am super excited you're joining me today on the Creator's MBA podcast. Today I want to talk about one specific thing: what an AI clone actually is. I’m also going to compare it to chatbots and custom GPTs.

[00:01:00]
 Let’s start with chatbots. A chatbot is something you might place on your website. It’s designed to respond to almost anything—it waits for a prompt, scans broadly, and produces an answer that sounds reasonable. Even a good chatbot, one trained on your own content or transcripts, is still doing the same basic job. It's flexible and designed to cover a wide range of questions.

[00:02:00]
 For example, on our Hobby School Summit website, we have a customer support chatbot. It does its job—it gets the question, scans our available information, and might even go outside our content to the internet to troubleshoot. That’s what chatbots are built for.

[00:02:30]
 Now, custom GPTs sit a little closer to what people think an AI clone might be. They use tighter instructions. You can specify tone, priorities, constraints, and sometimes even sources. So they're more consistent and more useful than a generic chatbot.

[00:03:00]
 But structurally, they're still doing the same thing—responding to prompts and trying to be broadly helpful. They’re guided systems, but not necessarily narrow like an AI clone is designed to be.

[00:03:30]
 An AI clone is built for a different purpose. It's not trying to answer anything and everything. It’s not there to explore ideas, generate content, or brainstorm. It’s built to apply a very specific way of thinking.

[00:04:00]
 If you’ve been doing expert work—consulting, coaching, teaching, advising—you already know your value doesn’t come from having more information than others. It comes from how you apply what you know.

[00:04:30]
 When someone brings you a situation, you’re not starting from scratch. You apply your framework, your filter. You recognize patterns, and you know what questions matter depending on where someone is in their journey.

[00:05:00]
 Often, you can tell when someone is trying to solve the wrong problem. That internal filtering process? That’s the asset. And an AI clone is designed to apply that filtering logic—consistently.

[00:05:30]
 It’s not going to invent ideas or frameworks. It applies the rules you’ve already given it.

[00:06:00]
 Let me give you a concrete example. Imagine someone who helps business owners decide what to focus on next. When a client explains their situation, the expert doesn’t list 10+ options. They ask a few targeted questions, rule things out, and focus on whether the issue is audience growth, positioning, delivery, or systems.

[00:06:30]
 They know it’s not time to change the offer yet. They know when the marketing isn’t the problem. They know when fewer ideas—not more—is the answer. That decision-making process stays consistent, even as the details change.

[00:07:00]
 An AI clone, in this case, wouldn’t give general business advice. It wouldn’t answer random questions about tactics. It would walk through that same filtering process—same questions, same exclusions, same priorities.

[00:07:30]
 So if an expert says, “This is not your problem yet,” the clone says the same thing. If they’d say, “You’re skipping a step,” the system would too—not because it’s smart, but because the logic is made explicit.

[00:08:00]
 Experts often feel intuitive. The rules exist, but they’re internal. An AI clone requires those rules to be written down—named and codified.

[00:08:30]
 If you can’t articulate how you decide things, this system won’t work well. Also, a clone is not an automation shortcut. Automation removes steps. A clone doesn’t remove your thinking. It applies your thinking when you’re not personally present.

[00:09:00]
 It’s not a content generator. You might have custom GPTs that write blog posts, social media captions, or website copy—I have over 100 of those myself. But clones aren’t for creative tasks.

[00:09:30]
 They’re also not a replacement for teaching, coaching, or leadership. If your work relies on emotional presence, a clone is not the right tool.

[00:10:00]
 AI clones are best used for application—specifically when someone understands the material but struggles to apply it to their own unique situation. And honestly, this is where most course implementation breaks down.

[00:10:30]
 People get the content. The issue comes when they need to decide what to do next. They ask: “Does this apply to me?” “What matters first?” “What do I do now?”

[00:11:00]
 That’s when they reach out to you. Maybe your next coaching call or office hours. They hope they can catch you live. A clone doesn't solve that by teaching more—it applies existing judgment when it's needed most.

[00:11:30]
 Here’s another example: a course creator notices students making the same mistakes—jumping ahead, skipping steps, applying ideas in the wrong context. Over time, the creator develops a consistent response pattern.

[00:12:00]
 They know when to say, “You’re doing this too early,” or “Don’t worry about that yet.” An AI clone would never replace the course—it would support implementation. It would apply that same expert reasoning when the student gets stuck.

[00:12:30]
 So when I say AI clone, I’m not talking about something that just sounds like you. I’m talking about something that applies your decision logic—within a defined boundary.

[00:13:00]
 It’s a constrained system that applies your thinking in situations where you can’t be there personally every time. And that’s the magic of it.

[00:13:20]
 In the next episode, I’ll talk about why traditional courses often struggle with implementation—even when the content is solid—and how delivery models impact outcomes.

[00:13:40]
 For now, I want you to take this with you: an AI clone is not a chatbot, not a fancy GPT, and not automation. It’s a way of applying judgment—your judgment—consistently.

[00:14:00]
 Thanks for listening today. I hope you enjoyed this episode, and I’ll see you in the next one. Bye for now.

[00:14:15]
 Thanks for listening all the way to the end. If you love the show, I’d appreciate a review on Apple Podcasts or your favorite podcast platform. Have a great rest of your day, and bye for now.