Unlocking the Potential of Generative AI: 10 Prompt Engineering Recommendations

Generative AI has changed how product managers and designers approach research, problem-solving, writing, and design. Prompt engineering is the practice of communicating with these tools in a way that makes a useful response more likely.

Here are ten practices I have found useful:

1. Use clear language.
2. Provide enough detail, but break complex work into steps.
3. Define the role you want the AI assistant to play.
4. Name the audience for the work.
5. State the goal and the desired output.
6. Be specific about constraints and context.
7. Give the model examples when format or tone matters.
8. Leave room for creative alternatives.
9. Understand the strengths and limitations of the model you are using.
10. Test, revise, and retest your prompts.

Prompt engineering is not merely a technical skill. It is a creative and strategic tool. The better we communicate what we need, the more effectively AI can help us explore ideas, improve efficiency, and solve meaningful problems.

This recovered article has been lightly reformatted from the original.