What is AI, really?
A friendly introduction to artificial intelligence: what the word actually means, what these systems do, and why the term gets used for about nine different things.
One concept per guide, written in plain English. If we use a technical word, we define it on the spot, so you should never have to go and look something up just to finish a sentence.
The foundation. If you read nothing else, read these four.
A friendly introduction to artificial intelligence: what the word actually means, what these systems do, and why the term gets used for about nine different things.
You've been using AI for years without being told. Your camera, your maps, your spam filter, your feed. Here's what's under each of them.
Machine learning and neural networks, explained with analogies instead of equations. Yes, you can understand this without any maths.
What makes AI different from a normal app, why that difference matters, and how to tell which one you're actually dealing with.
Where AI touches fairness, privacy, work and creativity, without the panic.
Why these systems make unfair decisions, where the bias enters, and how to spot it in a tool you're being asked to trust.
What AI systems collect about you, who ends up with it, and the settings that actually make a difference versus the ones that don't.
How image, music and video generators work, whose work they learned from, and the questions artists are raising about it.
A calm look at automation: which tasks are genuinely at risk, which claims are overblown, and which skills are worth building now.
For when the basics have clicked and you want to know how it really works.
Tokens, prediction and context windows: what a chatbot is actually doing when it answers you, and why it sometimes makes things up.
How software "sees": from recognising a cat to reading a road sign, and the ways this goes wrong in the real world.
Layers, weights and training, explained step by step. The most technical thing we publish, and still readable without a maths background.
Same ideas, different pace, and a lot more examples.
What a computer means when it "learns", told through games, guessing and a lot of examples you'll recognise.
Where AI genuinely helps you learn, where it quietly stops you learning, and how to tell the difference before you hand something in.
Art, music and storytelling with AI tools: what's fun, what's free, and how to keep your own voice in the work.
Material you can pick up and teach with, free for any school or non-profit.
Lesson-shaped introductions to AI with activities, discussion prompts and a rough timing guide for a single period.
How to sequence this across several weeks, what to cover first, and where students most often get stuck.
A practical framing for classroom AI policy, one that students actually find fair, rather than one they route around.
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The library above is our publishing plan, not a bluff. Each guide goes live as it's finished, and we'd rather show you what's coming than pretend the shelf is full.
Want one of them sooner? Tell us which, and it moves up the queue. That's genuinely how we pick the order.
The free courses page is already full of excellent material you can start today.
We post each new guide to Instagram the day it goes up.
The same ideas exist as short videos, and as full free courses if you want depth.