Most bad AI answers come from one problem. Really bad prompts.

People ask a vague question and expect a precise answer.

The AI fills in the missing details with averages from its training data.

The result is the usual generic AI advice.

Example of a really bad prompt:

"How can I get more leads?"

The AI receives your request, rolls its eyes, then is forced to guess your industry, your budget, your audience, and your goals.

A much better approach is a simple prompt duo.

Add micro-context and allow clarifying questions.

Steps:

1. Include Micro-context
2. Ask question
3. Request clarifying question

Example:

Context: I run a small manufacturing company and want to use AI to generate more inbound leads without increasing my marketing budget.

Ask question: What are the three most practical ways I could use AI to generate leads for this type of business?

Request clarifying questions: If additional context would significantly improve the answer, ask up to three clarifying questions.

Why does this work?

1. The context tells the AI where you’re starting.
2. The question defines the task.
3. The clarifying questions prevent bad assumptions.

Less AI guessing. Better AI answers.