About & methodology

Who makes this, and how

This site teaches you to ask who is behind a claim, how it was produced, and who is accountable when it’s wrong. It would be strange not to answer those questions about ourselves.

What this is, and what it isn’t

This is a free, interactive introduction to AI for people without a technical background: what AI actually is, how generative AI works, where it fails, and how to use it wisely. You don’t need an account, and every lesson stands on its own.

Just as important is what it isn’t. It is not a news site, not a course with certificates or grades, and not professional advice, nothing here replaces a doctor, lawyer, or financial adviser. And it is not trying to sell you an AI product.

How we decide what to teach

AI products change every month, so a site like this could easily be outdated the week it launches. We avoid that by separating three kinds of claims, and only building lessons on the first kind:

  • Fundamental principles. Durable ideas, like “fluent output does not guarantee truth” or “AI cannot take human responsibility.” These are the backbone of every lesson.
  • Current capabilities. Things that improve over time, like image quality or coding performance. When we mention these, they carry a date.
  • Product-specific facts. What one chatbot can do this month. These change overnight, so they stay out of the lessons entirely.

Our teaching principles

A few rules shape every page. We introduce the idea before the jargon. You’ll predict the next word in a sentence before you ever meet the word “token.” We never dismiss AI as “just autocomplete,” and we never promise that better prompting guarantees truth. We treat AI as neither good nor bad. What matters is the purpose, the data, who controls it, and what happens when it’s wrong. And our interactive exercises test reasoning, not trivia: “which part would you verify first?”, never “which answer was written by AI?”

How the examples work

Nothing on this site is generated live. There is no AI model running behind the page. Every example answer was written and reviewed for a specific teaching purpose, including the flawed ones: some chat examples are deliberately constructed to demonstrate a failure pattern, and they say so right where they appear.

The likelihood percentages in the prediction exercises are illustrative teaching numbers, not real model output. Real systems work with vastly larger vocabularies and far messier probabilities. The exercises are labelled this way too. The mechanism they demonstrate, however, is real.

Independence

This site is not affiliated with, funded by, or endorsed by any AI company. When lessons mention products like ChatGPT, Claude, or Gemini, it’s because you’ll encounter them in the real world, not because anyone paid to be mentioned. Nobody did.

Privacy

There are no accounts and no sign-ups, and nothing here identifies you. The site does remember two things, both of them in your own browser: which sections you’ve visited or completed, and whether you chose the light or dark theme. None of it leaves your device, and we can’t see any of it. Clearing your browser data erases it. If your browser blocks storage entirely, everything still works; it simply doesn’t remember. The privacy page lists every key by name, and says exactly what is and isn’t counted.

How we use AI ourselves

It would be odd for a site about using AI honestly to hide its own AI use. AI tools assist in building this site — in the code and in drafting content. Every lesson is directed, reviewed, and edited by a human, and the responsibility for what the site teaches rests with a human, not with a model. That’s the same standard “How to actually use AI” asks of you.

Spotted a mistake?

A site that teaches verification should expect to be verified. If you find an error — factual, technical, or a typo — we genuinely want to know, and corrections make the site better for everyone after you.

Send corrections to [email protected].