The Prompt Framework: How to Write Prompts That Work
Most AI prompts fail before they begin. Learn the structured framework that turns vague instructions into clear, actionable tasks — so Claude Code builds exactly what you meant, every time.
The problem with vague prompts
When you ask a person to 'add a button,' they ask follow-up questions: Where? What color? What does it do? An experienced colleague fills in the gaps using context they've built up over time — they know your project, your preferences, the tools you're using.
Claude Code doesn't have that background. Each conversation starts fresh. When you write 'add a button to the form,' it has to make a dozen small decisions on your behalf: which form, what label text, which set of building blocks to use, where in the file, what happens on click. It picks reasonable defaults — but reasonable defaults aren't your defaults.
The result is code that technically answers your request but doesn't match what you had in mind. You spend the next several messages correcting the details you didn't specify. This is the vague prompt trap: you pay the correction tax instead of the specificity tax, and the correction tax is almost always higher.