Happy Monday, everyone. This one was filmed on the way up my mountain. Still a long way from the top, out of breath, nothing rehearsed. I turn 58 this year. Thirty plus years into this work, and somewhere on that trail the same voice still shows up three or four times to tell me I could stop right here and nobody would think less of me. I gave up trying to silence it a long time ago. What I do with it instead is what I get into in the video. Learning AI works the same way. We didn't grow up with this stuff. We're the ones cutting the path for everyone who comes after us. So of course it feels uncomfortable. Of course the doubt creeps in. Of course the old way of working keeps calling you back to it. That isn't a sign you're failing. It's a sign you're climbing. And the only thing that actually gets you up the hill is what I was doing on that trail. One step. Then the next one. Without quitting. Focus of the Week: 👉 Don't Miss Your Mountain So here's what I'm asking this week: name the mountain you keep promising yourself you'll climb someday, and name the one step you can take toward it before Friday. Drop it in the comments 👇 Have a fantastic Monday, Dean

For a growing number of small business owners, a meaningful and increasing share of the business's actual competitive edge now lives inside AI-assisted processes, workflows, context documents, and system configurations that one person, usually the owner, built and deeply understands. This creates a specific and often unaddressed risk that used to be a more distant, easier-to-defer concern: what happens to this business if that person exits, sells, retires, or simply steps back for an extended period. AI adoption, done well, tends to force this succession question to become urgent much earlier than it used to be, because the business's operational knowledge is increasingly embedded in systems that require deliberate, structured transfer rather than existing as more generalized, transferable business processes. ------------- Context ------------- Before AI became deeply integrated into how many small businesses operate, the core operational knowledge of a business, while still often concentrated in an owner's head, was somewhat more generically transferable. A new owner or manager stepping in could often learn the fundamentals of the business's processes through reasonably standard means: observing operations, reviewing documented procedures, working alongside existing staff. The knowledge, while real and valuable, wasn't typically locked inside highly specific, individually configured AI systems that only the original builder fully understood. AI-assisted businesses, particularly ones where the owner has built sophisticated, customized workflows, context documents, and system configurations over time, carry a different kind of knowledge concentration risk. The specific way AI has been configured to handle client communication, the particular context documents that inform pricing or proposal generation, the exact prompting patterns that produce reliable output for a specific recurring task, these represent real business value, but they're often poorly documented and exist primarily as tacit, personally-held understanding of how the systems were built and why they work the way they do.

OpenAI just put out a new update called Computer History that lets the ChatGPT desktop app see...well...just about everything you do on your computer. In this video, I'll explore this new and VERY controversial feature, showing you how it works so you can satisfy your curiosity and get your questions answered without having to first install it on your computer. Want to save time, get more leverage, and stop figuring this AI stuff out from scratch? I put the clearest map and support inside the AI Advantage Club Enjoy!