I analyzed 200+ frustrated AI conversations. 87% had the same problem—and it’s not the AI.


Spent 6 months watching people struggle with ChatGPT/Claude. Same pattern every time:

Person asks AI to do something → AI gives generic output → Person iterates 15 times → Frustration

The issue? They never defined what success looks like before they started.

So I built a stupid-simple framework. Three questions you ask yourself before writing any prompt:

1. What's the ONE metric that defines success?
(Not "make it good" — actual measurable outcome)

2. Who's the end user and what's their biggest barrier?
(Specific person, specific problem)

3. What's the constraint hierarchy?
(What matters MOST > Second > Third if you must compromise)

Example: I asked someone to write an article about Harry Potter audiobooks.

Without framework: Generic 1000-word "here's what's new" post (forgettable)

With framework: They answered the 3 questions first:

  • Success = virality (social shares)
  • User = new audiobook listeners (skeptical)
  • Priority = authority > engagement > word count

Result: AI wrote a completely different article. Controversial takes, insider data, provocative framing. Built for sharing, not just informing.

The framework takes 2 minutes. Saves hours of iteration.

I wrote it up with examples across different use cases (writing, marketing, code, strategy): https://medium.com/aidrivenprompt/once-youve-done-that-thinking-the-ai-prompt-writes-itself-26f16a36c3db

Free. No signup. Just copy-paste and use it.

Has anyone else noticed this pattern? Curious if this resonates.

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