Defining requirements before prompting improves AI output
The article explains that the quickest way to get useful AI‑generated software is to set the user, task, and success criteria before any prompt is written. It says AI can speed up marketing technology development, but fast code generation alone does not guarantee that the result meets business needs.
Key points
- Define user, task, and success before prompting to improve AI output.
- Use business requirements documents, user stories, and acceptance criteria to guide AI.
- Marketers must act as editors, checking gaps and ensuring alignment with goals.
It recommends using established development artifacts—business requirements documents, user stories, acceptance criteria, prompt frameworks, and prompt logs—to give AI clear direction. These artifacts help marketers reduce wasted effort and keep the output aligned with the project vision.
The piece notes that as AI lets marketers take a more direct role in code creation, they must also take on an editor’s role, checking for gaps and ensuring the final product matches the defined goals. The article is a practical guide rather than an opinion or research study.
The story so far
6 episodes →- Defining requirements before prompting improves AI outputthis story
Better prompts start before the prompt
MarTech · 6 November 2026
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This text was published by MarTech and written by Steve Petersen. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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