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Use ChatGPT's strengths for creative ideation, divergent thinking, and exploring problem spaces.
Read through the lesson, mark it complete when the concept is clear, then move to the next lesson in the sequence or jump back to the module map.
ChatGPT (running OpenAI's current GPT-5-class models) has a particular strength in divergent thinking — generating many varied ideas quickly. It's less focused on being "right" than on being generative, which makes it ideal for the expansive phase of problem-solving.
Ask for more ideas than you need:
"Give me 50 different names for a B2B SaaS tool that helps teams manage AI prompts. Include serious options, playful options, and acronyms."
You'll use 2–3 of them. But having 50 forces ideas you'd never reach with 10.
Ask the same question from different angles:
"Name this product from the perspective of: a corporate lawyer, a startup founder, a design agency, a solo freelancer."
Perspective shifts unlock ideas your default frame would miss.
The worst ideas often contain the seed of the best ones:
"Give me 10 terrible ideas for solving this problem, then find the useful insight hidden in each one."
This technique, borrowed from improv comedy, consistently surfaces unexpected approaches.
ChatGPT's custom instructions let you set persistent context:
"I'm a solo founder building a B2B SaaS for creative agencies. When brainstorming, always consider bootstrapping constraints, agency-specific workflows, and the preference for practical over theoretical."
With this context set, all brainstorming sessions start with the right frame.
Once you've generated ideas and need to evaluate, refine, or reason about them deeply — switch to Claude. ChatGPT generates; Claude analyzes. Using both in sequence produces better output than either alone.
Brainstorm in ChatGPT. Refine in Claude. Execute.