Learn to use AI well
Everything here comes from our AI Smart workshop. Read the mini-lessons, then have a go at the games - no sign-up, nothing saved to a server.
The basics, fast
Tap any lesson to open it.
1 What is AI?
Artificial intelligence is technology that learns patterns from huge amounts of data and uses them to help solve problems that normally need human thinking - like answering questions, recognising images, or writing text.
It’s not magic and it’s not alive. It’s very good pattern-matching.
2 Where you already use AI
You probably use AI dozens of times a day without noticing. It chooses what you see and helps things work:
3 How to write a good prompt
A prompt is just the instruction you give an AI. A better question gets a better answer. Be specific: say who it’s for, what you want, and what format you need.
Try the Prompt Improver below to see the difference in action.
4 How to fact-check AI
AI can sound completely confident and still be wrong - this is called a hallucination. Always check important facts against a reliable source before you trust or share them.
Treat AI as a helpful assistant, not an all-knowing oracle.
5 AI and your future career
AI will change many fields - medicine, law, business, engineering and education among them. But the skills that stay valuable are very human:
6 Using AI without cheating
The line is simple: use AI to help you think better, not to think for you. Ask it to explain, quiz you, or check your reasoning - don’t pass its work off as your own.
Four quick challenges
The same activities students try in the workshop. Nothing is saved to a server - refresh to start again.
The Future Ready student charter
A short promise about how you’ll use AI. Take it if you’re in.
- I’ll check important facts before I trust them.
- I won’t pass AI work off as my own.
- I’ll use AI to learn, not to skip learning.
- I’ll question what I read and think for myself.
The words, without the jargon
- AI
- Software that learns patterns from data to do tasks that usually need human thinking.
- Prompt
- The instruction or question you type to tell an AI what you want.
- Hallucination
- When an AI confidently makes something up that sounds right but isn’t true.
- Model
- The trained “brain” of an AI - the system that turns your prompt into a response.
- Training data
- The huge collection of text, images or sound an AI learned its patterns from.
- Bias
- Unfair patterns an AI picks up from its data, which can lead to unfair results.
- Prompt engineering
- The skill of writing clear, specific prompts to get better answers from AI.
Downloads
Printable summaries from the AI Smart workshop. PDFs to be attached on launch.
Want this as a workshop?
These activities are the AI Smart workshop, designed for Years 7–8 and built around our research.