Asking Questions

A prompt is what you type or say to AI. Prompt engineering means crafting prompts carefully to get the best possible response.

You can ask AI to explain at any level: 'Explain DNA like I am 5,' or 'Give me a middle-school level explanation.' AI adjusts complexity.

AI is a great brainstorming partner. Ask 'Give me 10 ideas for a science project' and then pick the ones you like most.

AI does not always cite sources, and sometimes invents facts. For research, ask AI for its reasoning and verify claims with reliable sources.

Prompt chaining means using AI's answer as input for the next question. This builds on each step and is great for complex tasks.

Telling AI what NOT to do can help: 'Explain evolution without using technical jargon' or 'List options but do not include violence.'

Check if AI's answer is complete, accurate, and relevant. Does it actually answer your question? Is the information reliable? Think critically.

AI can review your writing: 'Check this paragraph for clarity' or 'Suggest improvements for this essay.' It gives feedback, not final answers.

Consider what you ask AI for. Using AI to cheat on tests is wrong. Using it to understand a difficult concept is great. Intent matters.

When AI gives opinions, it is generating text based on patterns, not personal beliefs. Be skeptical of AI 'opinions' — they are not genuine.

The best results come from conversations, not single questions. Build on what AI said, correct mistakes, and guide it toward what you need.

Adding context helps AI understand what you need. 'Explain gravity' is okay, but 'Explain gravity to a 4th grader in simple words' is much better.

Good prompting uses context, roles, examples, and constraints. Evaluate responses critically, refine iteratively, and use AI ethically.

You can ask AI to take on a role: 'Act as a science teacher and explain volcanoes.' This shapes the tone and detail of the response.

Showing AI a couple of examples of what you want helps it understand the pattern. This is called few-shot prompting and works very well.

Tell AI the format you want: 'Give me a bullet list,' 'Answer in one sentence,' or 'Use exactly 5 paragraphs.' Constraints focus the output.

If the first response is not perfect, refine your prompt. Add more detail, change the angle, or say what was missing. AI improves with feedback.

'Why' and 'How' questions get deeper answers than 'What' questions. 'Why do leaves change color?' teaches more than 'What color are fall leaves?'

For complex topics, break your question into parts. Instead of one huge question, ask step by step: first the basics, then the details.

AI is great at comparisons. 'What is the difference between weather and climate?' or 'Compare mammals and reptiles' gets structured, clear answers.