Learn AI

Short lessons with one practice task, one prompt you can copy and a checklist for the result. Use any AI tool you like to practise.

Learning paths

What AI can and cannot do for you
Where AI chat tools help, where they fail, and why they sound sure even when they are wrong.
Products, models and plans
Why the same AI app can behave differently: the product, the model inside it, and your plan are separate things.
Asking your first question
Say the task, add a little context, ask for a format, then keep the conversation going.
How to check what AI tells you
Spot confident mistakes and check names, numbers, dates, quotes and links against real sources.
Start with a clear goal
Tell AI who the result is for, what it should achieve and what limits it must respect.
Give the right context
Share the background and material the task needs, and leave out what it should not see.
Show examples and the format you want
Use examples, tables, lists and length limits so the answer comes back in a usable shape.
Improve the answer step by step
Give specific feedback, ask for alternatives and compare versions or tools on the same task.
Turn material into study notes
Use AI to structure what you are learning, then check it and test yourself.
Research with AI and check citations
Find sources with AI, open every citation and confirm it says what the answer claims.
Break down an office task
Turn messy notes into an email and a task list, step by step, and review before sending.
Choose a tool and review how it went
Shortlist tools for one task, try them on the same input, and review cost, limits and privacy.

24 common AI terms explained in plain words, with what people often confuse them with.

What counts as a confirmed fact, how often we re-check, and how Help me choose works.