To unlock AI's value for strategy, provide detailed prompts with context, competitors, and goals. This elevates it from a simple content generator to a thinking partner, yielding deeper, more nuanced answers than basic, search-like queries.

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.

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 walking into a pitch unprepared, Reid Hoffman advises founders to use large language models to pre-emptively critique their business idea. Prompting an AI to act as a skeptical VC helps founders anticipate tough questions and strengthen their narrative before meeting real investors.

To maximize an AI agent's effectiveness, you must "onboard" it like a new employee. Providing context like brand guidelines, strategic goals, and performance data trains the system, making it significantly more intelligent and useful for your specific needs.

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.

Consistently feed your AI tool information about your company, products, and sales approach. Over time, it will learn this context and automatically tailor its sales prep output, connecting a prospect's likely problems directly to your specific solutions without needing to be reprompted each time.