Club Benefits
Asking AI loaded questions that require deeper, more introspective answers has become part of my daily routine.
I’ve worked through a checklist of questions about gaming, movies, music, famous personalities and AI itself, using them to push ChatGPT, Gemini and Claude toward more thoughtful responses. But when I was first getting started with AI tools, I asked these kinds of questions in a surface-level way and was disappointed when the answers felt just as shallow. I quickly learned I shouldn’t have been surprised.
Once I accepted that AI is prone to generic answers, I started looking into why that happens. Chatbots often default to shallow responses because they predict the most statistically likely next words rather than truly understanding the topic in the way a person would.
With that in mind, I dug into my list of reusable prompts and found five dependable commands that consistently push chatbots to give deeper, more thoughtful answers across a wide range of subjects.
Pushing my chatbots to go beyond giving me superficial answers
Like most of my interactions with AI, I start by asking whatever question has been rattling around in my brain all day. Then, I attach one of the following five prompts to it to make sure whichever AI tool I’m chatting with is giving me the sort of answers that refrain from relying on surface-level knowledge:
- The self-critique prompt: Before answering, identify what would make a typical answer to this question come off as shallow, generic, or incomplete. Then make sure to avoid those pitfalls. Focus on depth, nuance, trade-offs, evidence, first-principles reasoning, and actionable insights. Assume I want the best possible answer, not the fastest one.
- The 'assume I’m a genius' prompt: Don’t give me a surface-level answer. Assume I'm intelligent, curious, and willing to engage with complexity. Explore the topic in depth, identify hidden assumptions, explain the key trade-offs, challenge conventional wisdom where appropriate, and highlight insights that most people would miss.
- The failure analysis prompt: Why do most people fail at this? What mistakes repeatedly cause poor outcomes in this situation despite good intentions?
- The 'researcher mode' prompt: Approach this like an investigative researcher. Examine underlying causes, competing explanations, limitations, and unresolved questions.
- The 'evidence presenter' prompt: For every major claim, explain the reasoning and evidence supporting it. Distinguish between facts, assumptions, and speculation.
These prompts have become my go-to safety net whenever I want the most comprehensive answers a chatbot can deliver.
The first prompt works well for almost any topic. The second tells the AI to assume I already have some background knowledge, encouraging it to skip the basics and focus on insights that are most relevant to me.
The third is particularly useful when I'm looking for the best way to handle a work or life responsibility, while also uncovering the common mistakes people make along the way. The fourth shines when tackling more complex questions, such as when I wanted to understand why older generations often struggle to adapt to modern technology.
Finally, the fifth prompt is designed for controversial or heavily debated topics. I recently used it to explore why the extraction-shooter genre has remained relatively niche despite years of attention from gamers and developers.
Together, these prompts do much of the heavy lifting, pushing ChatGPT, Gemini and Claude beyond generic responses and toward the kind of thoughtful, nuanced analysis that makes AI truly useful.
Bottom line
To evolve from an average everyday AI user to an expert one, I had to realize that generic questions elicit generic responses.
That first step in my journey toward becoming a more experienced user of ChatGPT, Perplexity, Claude and others like it meant finding reusable prompts that make them generate meaningful responses.
So far, this routine has resulted in those AI tools leading me to previously unknown information, differing viewpoints, curious case studies and more.
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