Why Your Prompts Get Vague Answers
The Number One Mistake
You type something into AI and get back an answer that feels... off. Too generic. Not what you needed. The reason is almost always the same: you didn't give AI enough to work with.
Garbage In, Garbage Out
AI works the same way as asking a new coworker for help. If you say "Can you write something about coffee?" they might give you a random paragraph about coffee types. That's not what you wanted. If you say "Write an email to a cafe owner asking them to stock our coffee brand. Make it friendly but professional," now they know exactly what to do.
AI is the same. It responds to the quality of your request.
Bad Prompt vs Good Prompt
BAD: "Summarize this article." GOOD: "Summarize this article in 3 bullet points for a non-technical manager. Focus on business impact."
BAD: "Write a social media post." GOOD: "Write a Twitter post (280 characters max) announcing our new product. Use a tone that is excited but professional. Target audience: small business owners."
BAD: "Give me ideas." GOOD: "Give me 5 blog post ideas for small business owners who use our project management tool. Each idea should be actionable and take less than 5 minutes to read."
Why Context Matters
When you give AI context, it narrows down what it's looking for. Context is information about:
- Who you are or what role you're in
- What you need this for
- Who will use it
- What format it should be
- Any limits or rules
Without context, AI has to guess. And guessing is what leads to vague, generic answers.
The Pattern
Think of your prompt like giving a recipe:
- State the purpose (why you need this)
- Give the task (exactly what you want)
- Add constraints (format, length, tone, who it's for)
Do this and your answers get sharper.
Discussion
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