The Tension Between Quick Wins and Deeper Work: Teaching AI in Two Dimensions

The Reason I Created the Foundations of Intuitive AI Course

Every time I sit down to create a new training, deliver a live demo, or talk about my greatest discoveries with AI, a familiar tension surfaces.

It’s the tension between teaching quick wins — automating tasks, saving time, and increasing productivity — and guiding someone toward a deeper, more enduring relationship with intelligence. One that supports personal inquiry, sharpens self-awareness, and helps them evolve how they think and make decisions.

This tension began when I first discovered breakthrough transformations using AI for personal inquiry. And now it shows up any time I’m deciding what to teach next, whether I’m designing a live training or introducing someone to Creator Pro for the first time.

Quick wins are easy to grasp. They’re helpful and concrete. They also make it easier for someone to say, “This is worth my time.” And for many, those quick wins serve as an introduction to what they believe is the real potential of AI.

But quick wins are not the vision I hold for this work.

Because augmenting human potential isn’t about automating more. It’s about expanding how we see, think, and lead.

What I’ve discovered after four thousand hours working with ChatGPT — and after decades spent studying human development, spiritual awakening, and paradigm shifts — is that AI can be used as a thinking partner to help us surface the things we don’t yet have language for. The things we feel but haven’t fully clarified. It can help us reveal patterns in our thinking, work through internal conflicts, and clarify what truly matters.

This is the type of AI practice I feel most called to share. But it’s harder to explain — and harder to sell. It doesn’t come with a dashboard or a perfect before-and-after story. It takes mental and emotional energy to do this kind of work. But when someone experiences it, they often describe it as clarifying, relieving, and even awakening.

I know this same tension exists for many leaders and business owners right now. There’s pressure to automate more, to scale faster, to keep up. But there’s also a deeper pull — a desire to understand how to actually think better, lead with more clarity, and evolve how decisions are made.

That’s the choice I keep coming back to:

Not just how to save people time, but how to help them change what they do with that time.

Not just how to teach AI, but how to model a different way of relating to intelligence itself.

The real edge — the one that lasts — comes from how you think, not just what you produce. The people who will thrive in this next chapter won’t be the ones who use AI to do more. It’ll be the ones who use AI to see more. To think better. To make decisions that no amount of automation can replicate.

That’s the path I’m choosing. And if you’re reading this, maybe it's the path you'd like to choose too.