Describe the outcome, not the steps
Beginners often try to tell the AI how to do something line by line. That's the old way of thinking. Instead, describe the outcome you want and the constraints that matter: what it should do, who it's for, how it should feel. Let the AI propose the how, then correct it.
"Make a to-do app where I can add tasks, check them off, and it remembers them after I refresh" is a great brief. It says what matters and leaves the implementation open.
Think in small, shippable pieces
The fastest builders don't describe the whole product at once. They get one small piece working, confirm it's right, then add the next. This keeps the AI focused and keeps you in control. A working tiny version beats a broken big one every time.
Expect to iterate, not to be perfect
Your first result is a draft, not a verdict. Reacting to a real, imperfect thing in front of you ("the button's too small, make the header bolder, add a dark mode") is far easier than imagining the perfect spec up front. Iteration is the whole game.