Tell AI What “Good” Means, Not Every Step
Detailed step-by-step directions can produce the wrong result when the requester cannot fully express what they actually want. In use, results improved after replacing detailed instructions with a clear for the finished work. One example required a busy reader to understand the choice and its downsides within ten seconds without needing a question.
The AI was then left to choose how to reach that finish line. A stronger approach turned the into a test, such as requiring a proposal to persuade a doubtful finance chief who is actively looking for a reason to reject it. Naming a specific and test helped the tone and structure fall into place without controlling every detail.
The central lesson is that instructions encourage literal obedience, while quality s give AI room to make useful decisions.
Key points
- Lead with the quality for the finished work instead of prescribing every step.
- Name the and how quickly they should understand the result.
- State whether the work must avoid questions.
- Define the person or test that the result must satisfy.
- Let AI choose the route, then check the output against the stated .