Savannah Gilbo's best launch ever almost broke her business. Instead of hiring a team, she built an AI clone. Here's exactly what we built and why it works.

AI clones are powerful—but they’re not a fit for every business. In this post, I break down the difference between judgment and creation, what makes an AI clone effective, and how to know if your expertise is truly ready to be cloned. Plus, I share who my AI Clone Implementation Lab is for (and who it’s not).

Worried that an AI clone might dilute your expertise or give away your paid content? You’re not alone. In this post, I share how experienced creators are building AI clones that stay true to their frameworks—by setting clear limits, testing rigorously, and keeping teaching and judgment separate. If you're AI-curious but IP-cautious, this is your starting point.

Even great courses can leave students stuck—not because your content is weak, but because your delivery model isn't built for real-world implementation. In this post, I unpack why traditional course models are struggling more than ever, what learners actually need, and how expert creators are adapting with scalable, judgment-based support.

Most people think an AI clone is just a chatbot in disguise. In this post, I explain what an AI clone really is—and how it applies your expert thinking to help clients make better decisions without you needing to be in the room. If you're curious whether your business is ready for a clone, start here.

What if your most valuable business asset isn’t your course, funnel, or content — but your thinking? This episode breaks down how your expertise becomes intellectual property and how AI changes the way creators can scale their businesses.