Instead of asking AI for answers, command it to ask you questions. Use the "Context, Role, Interview, Task" (CRIT) framework to turn AI into a thought partner. The "Interview" step, where AI probes for deeper context, is the key to generating non-obvious, high-value strategies.

Instead of simply commanding an AI, a team first instructed it to ask clarifying questions about their company's mission and selection criteria for podcast guests. This "interview" step forced the AI to understand deep context before generating outputs, leading to a much more effective and customized database of ideas.

Go beyond simple instruction. Explicitly prompt your AI to use tools like `ask_user_question` to push your thinking, question your goals, and suggest alternative angles. This transforms the AI from a simple executor into a powerful strategic thinking partner.

A powerful workflow is to explicitly instruct your AI to act as a collaborative thinking partner—asking questions and organizing thoughts—while strictly forbidding it from creating final artifacts. This separates the crucial thinking phase from the generative phase, leading to better outcomes.

The most effective way to use AI in product discovery is not to delegate tasks to it like an "answer machine." Instead, treat it as a "thought partner." Use prompts that explicitly ask it to challenge your assumptions, turning it into a tool for critical thinking rather than a simple content generator.

Instead of providing a detailed but potentially incomplete prompt, ask the AI model to interview you about your goal. This meta-prompting technique forces clarification and helps uncover "unknown unknowns" you hadn't considered, leading to a much better final output.

To create a high-quality Product Requirements Document with AI, avoid short prompts. Instead, provide a long, stream-of-consciousness 'brain dump' of all context and ideas. Then, ask the AI to identify blind spots and ask you follow-up questions, turning the process into an iterative partnership rather than a one-shot command.

Instead of solely relying on AI for net-new ideas, articulate your own thoughts and have the AI play them back to you. This process helps clarify your thinking, reveal gaps in your logic, and validate your intuition, demonstrating that much of the AI's value lies in refining your existing knowledge.

Instead of detailing every step, state your high-level goal and instruct the AI to ask clarifying questions it needs to build the plan. This "reverse prompting" leverages the AI's reasoning to create a more robust solution than you could manually specify, which is a key advancement in AI interaction.