A new kind of literacy is here.

AI is not just a smarter browser. Learn what it really is.

A free, visual course for understanding what AI can do, where it fails, what it costs, and how to use it without handing over your own judgment.

ForHigh school and up. Start where you are. Time~5 min on this page. Then go deeper. ByA student learning by building, testing, and asking better questions.
60-second lesson · 1 of 3

What is an AI model, really?

It is a trained system that finds patterns and uses them to make predictions. Chat is only one form it can take.

"The cat sat on the ___" model sees this, predicts next word mat 62% couch 25% windowsill 10% roof 3% It picks the most likely word, then does it again. Trillions of times.

Large language models read huge amounts of text during training, learned patterns, and now predict what should come next. Apply that over and over and you get conversations, code, essays, math, plans, explanations, and tool use. Other AI systems work with images, audio, robots, recommendations, science, and data.

The catch: it's a pattern-matcher, not a fact-checker. It can sound confident and still be wrong. Knowing this is half the skill.

→ The full lesson: Chapter 1 (~10 min)

60-second lesson · 2 of 3

The first skill is asking better questions.

Prompting matters, but it is only the doorway. Same model, two different prompts, two completely different answers.

What most people type

explain photosynthesis

You get a generic textbook paragraph. Forgettable.

What works

I'm a 9th grader studying for a bio
test Friday. Teach me photosynthesis.
One analogy I can picture. Then quiz
me with 3 questions.

You get a tailored explanation, a vivid analogy, and a quiz.

The four ingredients

01

Context

Tell it who you are and what you're doing.

02

Role

"Act as a strict editor." Roles change everything.

03

Examples

Show it what good looks like. It'll match the pattern.

04

Constraints

"In 100 words." "As 3 bullets." Force a shape.

→ The full lesson: Chapter 2 (~12 min)

60-second lesson · 3 of 3

The trade nobody is naming.

AI takes some skills away. It also gives new ones. The new ones aren't smaller. They're different: and almost nobody is teaching them yet.

What gets traded away

  • Writing essays from scratch
  • Memorizing facts you can look up
  • Solving routine problems alone
  • Picking a fixed career

What you have to grow

  • Writing great prompts
  • Seeing patterns across domains
  • Pushing back when AI is wrong
  • Finding your mission

Most AI sites are either too excited or too scared. This course is honest about the trade. You can lose skills if you outsource too much. You can gain bigger skills if you learn what the system is doing. That's why this site exists.

Where to go next

Before you start reading, take the gauge. It checks what you know about AI and how you think through real AI situations. Then it sends you into the right path.

The learning paths

From the author

Built by a 9th grader.

I'm Aarav. I asked my dad: "If AI can write my essays and solve my problems, why am I in school?" He didn't have an answer. Neither did I, until I started using AI seriously and built my own small LLM on my MacBook Air.

What I figured out: there's a real skill here. Most people aren't learning it. They're using AI to skip work, which is the boring choice. The interesting choice is using AI to do things you couldn't do without it. That's what this site teaches.

→ More about the project · → See the LLM I built