Well, Actually: Your AI Brainstorming Prompts Are Probably Terrible
Forbes published guidance on using AI for brainstorming that moves past the obvious. The piece emphasizes writing specific prompts and iteratively refining outputs rather than accepting first-pass suggestions. Generic queries yield generic results. Shocking, I know.
This teaches you to treat AI as a dialectical partner, not an oracle. You must constrain the problem space tightly and then critique the response. Your workflow changes from one-shot questioning to iterative refinement loops. This mirrors actual creative methodology, which undergraduates in my seminar would know if they read the assigned texts.
Forbes technology contributors assembled these recommendations. The source does not attribute specific results or named practitioners.
Step 1: Open any consumer AI chatbot and type a deliberately vague brainstorming prompt on any topic you face, then note how generic the response is. Step 2: Rewrite the prompt with three specific constraints (budget, timeline, audience) and request five unconventional angles explicitly excluded from typical suggestions. Step 3: Pick the weakest of those five and instruct the AI to improve it by adding a specific obstacle or stakeholder objection you name, observing how the idea sharpens under pressure.