Knowledge Base Article
Writes a help article that answers the question in the first screen and is findable by the words people actually use.
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Running it, start to finish
- Collect how customers actually describe the problem, from tickets.
- Lead with the fix, then the steps, then the failure cases.
- Add the error text and old feature names for findability.
What you get back
The output this produces, every time.
- Puts the fix in the first two lines, before context or prerequisites.
- Includes the if-that-did-not-work section, which reduces tickets more than anything else.
- Makes the article findable by the error text and the words customers actually use.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Use the customer's words in the title. They do not know your feature name. Section 6 exists for the same reason and is where most help centres fail.
- Include the error text verbatim. Someone pasting an error message into a search box should land on this article. That single habit deflects a lot of tickets.
- Write section 4 from real tickets. The reasons the steps fail are already in your support history. Guessing them produces a section nobody needs.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.