Go beyond simply asking AI for answers. Use "reverse prompting" by instructing the AI to ask you clarifying questions about your goal. This forces you to think more deeply about your problem and provides the AI with better context, ultimately yielding superior results.

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.

Instead of trying to craft a perfect, detailed prompt, Andrew Wilkinson tells the AI his high-level goal and instructs it to "ask me a shitload of questions to determine your prompt." The AI then conducts a 5-10 minute interview, gathering all necessary context to produce a superior result.

Treat AI not just as a tool, but as a meta-tool that can teach you to improve your own usage. Regularly asking prompts like "How could I be using you better?" or "What questions should I be asking?" can reveal new capabilities and refine your prompting skills.

Instead of spending time trying to craft the perfect prompt from scratch, provide a basic one and then ask the AI a simple follow-up: "What do you need from me to improve this prompt?" The AI will then list the specific context and details it requires, turning prompt engineering into a simple Q&A session.

Instead of only giving instructions, ask ChatGPT to first ask you questions about your goal. This leverages the AI's knowledge of what information it needs to produce the best possible, most tailored output for your specific request.

Instead of just giving AI a task, command it to interview you first. By having the AI ask clarifying questions about assumptions, context, and potential gaps, you can surface your own unknown unknowns and provide the necessary context for a high-quality output.

Effective AI prompting involves providing a detailed narrative of the situation, user, and goals. This forces the AI to ask clarifying questions, signaling a deeper understanding and leading to more relevant answers compared to a simple, direct command.