What resonated for me here is the idea of AI being practical and human. In our experience, AI works best when it reduces everyday friction quietly in the background, helping people make better decisions without needing to “learn AI” at all. Excited to learn from others applying it this way.

Every day, new AI tools promise to help you move faster, create more, and save time. And while those benefits sound great, they’re not the real reason AI matters. The real reason is deeper: AI gives you the chance to build systems that finally work for you, not against you. It’s not just about automating tasks. It’s about reimagining how you get things done, designing workflows that create freedom, not friction. If you’re still using AI only for quick wins, like generating copy or brainstorming ideas, you’re missing its greatest potential. The future belongs to those who use AI to build smarter systems that compound results over time. ---------------- The Hidden Cost of Working Without Systems ---------------- Let’s start with what happens when you don’t have systems. Most people run their work on effort, not structure. Every day, they start from scratch with new ideas, new tasks, and new decisions. It’s exhausting because there’s no foundation. Without systems, everything depends on your energy and memory. You spend hours repeating work, fixing mistakes, or hunting for things you’ve already done. You’re constantly doing but rarely building something that lasts. That’s where AI changes everything. AI turns your daily work into a feedback loop. It doesn’t just help you finish a task, it learns from how you do it. When used strategically, it can transform scattered effort into sustainable structure. The more you systemize, the more your output multiplies. And the more AI becomes part of that structure, the easier everything else gets. ---------------- Why Systems Are the Real Leverage ---------------- Systems are how you turn skill into scale. They’re the invisible framework that makes success repeatable. You can have great ideas, but without systems, they disappear. You can have strong habits, but without systems, they stay personal instead of scalable. AI gives you leverage by helping you document, improve, and automate those systems faster than ever.

In reference to the AI world, we heard about Prompt Engineering, which of course it is important, because you need to know what questions/prompts to ask ChatGPT. This morning I read a post about something new (at least to me, the newbie) Context Engineering. Has anybody some thoughts to share about this? Many thanks!

I’m hella hyped as I just built my first course. It’s drafted and will be published this weekend. Any tips or feedback on courses? Successes? Mistakes? Failures?