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The best prompts strike a balance between providing enough specific information (e.g., "include code excerpts") and not over-constraining the model. Adding a phrase like "whatever is needed to give me maximum context" gives the AI an "out" to use its own judgment and provide additional, helpful information you didn't ask for.
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.
Before delegating a complex task, use a simple prompt to have a context-aware system generate a more detailed and effective prompt. This "prompt-for-a-prompt" workflow adds necessary detail and structure, significantly improving the agent's success rate and saving rework.
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.
To get the best results from AI, treat it like a virtual assistant you can have a dialogue with. Instead of focusing on the perfect single prompt, provide rich context about your goals and then engage in a back-and-forth conversation. This collaborative approach yields more nuanced and useful outputs.
To get consistent results from AI, use the "3 C's" framework: Clarity (the AI's role and your goal), Context (the bigger business picture), and Cues (supporting documents like brand guides). Most users fail by not providing enough cues.
To get high-quality output, prompt AI as if it has zero prior knowledge. This means providing comprehensive context including target personas, business challenges, strategic goals, and even raw data like ad performance reports. More input yields better output.
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 struggling to craft an effective prompt, users can ask the AI to generate it for them. Describe your goal and ask ChatGPT to 'write me the perfect ChatGPT prompt for this with exact wording, format, and style.' This meta-prompting technique leverages the AI's own capabilities for better results.
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.
This single sentence forces the AI to stop guessing and instead request the specific details it needs. This simple addition transforms the interaction from a command to a collaboration, dramatically improving the quality and relevance of the output by ensuring the AI has full context before acting.