What are some advanced techniques for AI questioning?

Did you know. Chatting with AI is like playing a subtle word game - it seems simple, but the true masters often have quite a few unique tricks up their sleeves. In my research on ChatGPT, I've found that users who seemingly randomly get amazing answers actually know the art of asking questions. Be prepared - what I'm about to share may not be the same as the "AI questioning guides" you've read elsewhere, but these are real, battle-tested, private tips.

The magic of making AI "think differently".

The most interesting thing is the "role-playing method". When I want to do a market analysis, I don't just throw out a question, but say, "Let's say you're an AI analyst at a top consulting firm, and you have 5 important clients who want to know about this year's AI investment trends...how would you organize this report?" This setting automatically switches the AI into professional mode, and it will give output that is more polished even in terms of table layout. After a few tries I realized that the more specific the role, the more surprising the quality of the answers.

Those "hidden commands" that escalate answers.

Once I wanted AI to help me perfect an article, I casually added: "Please nitpick like the most demanding editor", and got a detailed revision proposal like a red pen. Later I did an experiment: the same question, with "simple explanation" and "with kindergarten children can understand the words to explain" two ways to ask the question, the depth of the answer can be very different. These "hidden commands" are like trigger words for the AI, which can call up different levels of knowledge.

The most overlooked technique is the Chain-of-Thought technique. When I ask, "Why is AI investment growing this year?" the answer is often very general; but if you change to: "step by step reasoning, the economic environment, technological breakthroughs and market demand, how these three factors will interact to cause this year's AI investment growth?", the answer immediately becomes clear. , the answer immediately becomes clear. This trick is particularly useful when dealing with complex issues, allowing AI to show the thinking process step by step instead of giving direct conclusions.

How to "pull back" when AI answers go astray

When the AI "answers the wrong question", don't rush to start over, try "progressive induction". For example, if the first answer is too brief, I will add: "Expand the third point, especially the part of user feedback"; if the direction is biased, I will say: "Go back to the technical feasibility of our initial discussion...". This is much more efficient than pushing back and starting over. I have kept hundreds of conversation records and analyzed them, and found that letting the AI "self-correct" appropriately can often lead to more in-depth content.

Recently I used the multi-perspective questioning method when helping a friend do startup consulting: first let the AI play the role of an investor to analyze the business model, then switch to a consumer representative, and finally summarize from the perspective of an industry critic. In the collision of the three roles, we discovered hidden dangers that we hadn't thought of at all. This made me realize that instead of pursuing "perfect questioning", we should learn to guide AI to conduct "self-talk".

Ultimately, AI questioning techniques are not rote formulas. Behind every unexpected answer, there may be a new way to play. Don't you think it's time to let go of those "right question" rules and regulations and try to ask some crazy questions even for yourself? There might be some surprises in store for you.