Most people have tried ChatGPT. Very few people feel comfortable with it. They’ve typed a few prompts, maybe generated a paragraph or two, and seen that it can be impressive. But when they open it again later, they hesitate. They’re not quite sure where things live, what certain options do, or how to use it in a simple, practical way. So usage stays occasional, and occasional use never compounds. ---------- THE REAL PROBLEM ---------- The real problem isn’t that people don’t see the potential of AI. It’s that they don’t have a stable starting point. When an interface feels unfamiliar, every interaction carries a small mental cost. You have to think about where to click, what to try, and whether you’re even using the tool “correctly.” That friction is subtle, but constant. And constant friction eventually turns into quiet avoidance. Not because people dislike ChatGPT, but because it feels heavier than it should. ---------- TRYING AI VS USING AI ---------- Trying AI is driven by curiosity. You open ChatGPT, ask a random question, skim the response, and move on. It’s interesting, but disconnected from your real work and real problems. Using AI is different. You open ChatGPT because you have something specific you want to accomplish. You expect it to help. You refine the output with follow-ups, and you leave with something you can actually use. One creates moments of novelty.The other creates a habit. ---------- WHY BASELINES MATTER ---------- Before anyone can benefit from advanced workflows, frameworks, or automations, they need a shared baseline. They need to know where things are, what the main parts of the interface do, and how to perform simple actions without second-guessing themselves. These aren’t exciting skills. They don’t feel impressive. But they remove a huge amount of invisible friction. Without a baseline, every new guide feels harder than it should. With one, learning starts to stack. ---------- WHY CONFIDENCE COMES FIRST ---------- Most people assume confidence comes from mastering advanced features.

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