Course/AI for Getting Things Done

4.4

Brainstorming and Thinking Out Loud

When you are stuck and need options.

What you'll leave with

By the end of this lesson, you'll be able to use AI to generate options and unstick creative or strategic thinking — while retaining full ownership of the final decision and direction.

Why this matters

One of the quieter frustrations of professional life is the feeling of being stuck in your own head. You are trying to solve a problem or generate ideas and the same thoughts keep cycling.

AI does not get stuck. It generates options at a pace that human brainstorming rarely matches — and it does not get tired or self-conscious in the way that makes live brainstorming difficult.

The idea

AI brainstorming works best when you are specific about the problem, the constraints, and the type of output you want. "Give me ideas" produces generic results. "Give me ten ways to solve this specific problem, given these constraints, for this audience" produces something useful.

You are not looking for AI to decide anything. You are using it to expand your option set before you decide.

The teaching block

Brainstorming prompt formats that work:

  • "Give me ten names for [product/project/event]. It should feel [tone]. Avoid anything that sounds [X]."
  • "I am trying to solve [problem]. Here is what I have tried: [list]. What else could I try?"
  • "Help me think of five ways to approach [challenge] for an audience of [who]. The most important constraint is [X]."
  • "I need to explain [concept] to [audience]. Give me three different approaches — one that uses analogy, one that is very direct, one that starts with a story."
  • "What am I not thinking about in this situation: [describe situation]."

That last prompt is particularly useful. Asking AI what you might be missing is different from asking it to solve your problem — and it often surfaces perspectives or considerations that genuinely expand your thinking.

Keep in mind: AI generates plausible options, not correct ones. Brainstorming outputs should be evaluated with your judgment, not adopted wholesale.

Example

A real brainstorming session:

I need to present a difficult piece of feedback to my team about a process that is not working. I want to do it in a way that is direct but does not make people defensive. Give me five different ways I could open the conversation.

Show how the output gives you genuine raw material to work with — not a script, but a range of angles you can choose between and adapt.

Try this now

Identify something you are currently stuck on — a decision, a communication challenge, a project problem, a creative question.

Write a specific brainstorming prompt using the formats above. Ask for at least five options. Then evaluate which ones are worth developing and why.

Save this

Asking AI what you might be missing is different from asking it to solve your problem — and it often surfaces perspectives or considerations that genuinely expand your thinking.

Quiet takeaway

You are not outsourcing the thinking. You are expanding the option set before you decide. That is a genuinely different, and genuinely useful, way to use the tool.

Next

One lesson left in Module 4 — and it is the one most people ask about before anything else: how do you use AI without sounding like you used AI?

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