Define the user and task before you prompt any AI tool

A MacBook with lines of code on its screen on a busy desk

Most vibe-coding sessions fail before a single word hits the prompt box. The fix, according to Steve Petersen writing for MarTech, is to define the user, the task, and what success looks like before you generate anything.

Borrow from Software Dev, Not Prompt Guides

The argument is not about prompt engineering tricks. It’s about applying established development practices to AI-assisted work. Specifically, user stories and acceptance criteria, the same tools a product team uses before writing a line of code, give an AI model clearer direction and reduce the back-and-forth that burns time.

Without that upfront definition, the AI is guessing at context you already have in your head. You end up iterating on output that was never aimed at the right target.

The BRD Connection

Petersen points to the Business Requirements Document as the upstream discipline that makes everything downstream sharper. A clear business vision in a BRD helps a programmer, a graphic designer, or a vibe-coding marketer make decisions that align with it.

The same logic applies when that marketer is prompting an AI to build a landing page, write a campaign brief, or generate a workflow. If the vision is fuzzy going in, the output will be fuzzy coming out.

The Operator Takeaway

If you’re using AI to build anything, even a quick script or a one-page tool, spend five minutes writing down three things before you open the chat:

  • Who is the end user and what do they need to accomplish?
  • What is the specific task this output needs to perform?
  • What does a successful result look like, in concrete terms?

That’s a user story. It takes less time to write than a mediocre prompt, and it makes every prompt you write after it better.

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