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AI Features

Thinking Before Prompting

Explore how careful planning and precise prompt writing improve AI-driven app development. Understand the importance of defining specific users, core actions, and success criteria before prompting AI tools. This lesson helps you create detailed product briefs and plans that guide AI to build the right application the first time, enhancing your vibe coding skills and output quality.

Type “Build me a booking page” into any AI coding tool right now. You will get one in about thirty seconds. Clean layout, calendar picker, submit button. It will also have no concept of what is being booked, by whom, or what information matters. A name field and a date field, and that is the entire thing: no service type, no time slots, no confirmation, no way to cancel.

The AI did exactly what was asked. That was the problem.

The gap between that throwaway prompt and a useful product is not better syntax or fancier tools. It is thinking. Figuring out what you actually want, then describing it precisely enough that the AI can act on it.

What is the actual hard part?

Syntax (how to write code) is the AI's job. Specification (what should this thing do, for whom, and under what conditions) is yours.

The hard part of vibe coding is not getting the AI to produce output. It will always produce something. The hard part is producing the input: a description clear enough that the AI builds the right thing the first time, or close enough that you can steer it the rest of the way.

What happens when you skip the thinking?

The difference between a vague prompt and a specific one is not a small improvement. It is a different product entirely. Both prompts below describe the same idea: a booking app for a dog ...