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A curated walkthrough of the library — ordered lessons, a 15-question quiz between each, and 3 next-steps so you stay in flow. Earn XP, badges, and a streak as you go.
Library · 6440 lessons · Intermediate view
Search below, or pick a shelf. Kids and teens get age-tier shelves; College+ and Career+ organize the same library around life stage and situation.
Lessons handpicked for the Intermediate shelf.
A chatbot answers. An agent does. Learn the line between a model that talks and a model that acts — and why crossing it changes everything about how you work with AI.
Every agent — fancy or simple, local or cloud — boils down to four parts. Learn the recipe and you can read any agent system like a menu.
Follow a real agent run step by step — from prompt to result — and see exactly what happens inside. No code yet, just the anatomy of a successful task.
Agents fail in weird, quiet, expensive ways. Learn the six failure modes, the warning signs, and the simple habits that catch problems before they compound.
Fresh Intermediate lessons added to the library.
Forget extinction for a minute. Here is the practical stuff: how not to get fooled, scammed, or worse in your daily use of AI.
Measured people at serious labs and universities publicly worry about AI going very wrong. Here is what they mean, what they disagree about, and how to read the headlines.
The big international AI summits produce non-binding declarations. Even so, they shape the rules. Here is what each one did.
The world's most ambitious AI law passed in 2024. Here is what it actually does, when it kicks in, and why it matters if you do not live in Europe.
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A chatbot answers. An agent does. Learn the line between a model that talks and a model that acts — and why crossing it changes everything about how you work with AI.
Every agent — fancy or simple, local or cloud — boils down to four parts. Learn the recipe and you can read any agent system like a menu.
Follow a real agent run step by step — from prompt to result — and see exactly what happens inside. No code yet, just the anatomy of a successful task.
Agents fail in weird, quiet, expensive ways. Learn the six failure modes, the warning signs, and the simple habits that catch problems before they compound.
Giving an AI the keys to your computer is a big deal. Learn the two simplest ways to keep an agent safe: wall it off from things it shouldn't touch, and put a human in the decision path.
Agents are only as useful as their tools. Tour the big three — filesystem, browser, code execution — plus the emerging MCP ecosystem, with examples of what each unlocks.
Your data can live in someone's data center or on your own laptop. Both are real options in 2026. Understand what you gain and lose with each.
OpenClaw is open-source software that runs agents on your own machine — no cloud dependency, your data stays put. A tour of why it exists and how its pieces fit together.
Ollama turns 'I want to run an LLM locally' into a one-line install and a two-word command. Here's the stack, the key commands, and the models worth pulling first.
No code. Just design. Pick a real task you do every week and draft a complete agent spec — goal, tools, loop, stop, approvals, and what success looks like.
AI-assisted coding is not magic and not cheating. It is a new way of working where a model drafts, you decide. Let's draw a map before we start building.
Let's actually feel what autocomplete is like. Write a comment, pause, and watch a full function appear. Then learn what to do next.
A prompt that writes a poem is not the same as a prompt that ships working code. Code has hidden standards. You need to make them explicit.
The AI will hand you code that looks right but isn't. Here are the most common bugs and the habits that catch them before they bite.
Bugs are where AI is most useful and most humbling. Paste errors, ask for causes, run experiments, and learn how to get a real answer instead of a guess.
Writing a test first is not just good engineering. It is the clearest possible prompt for an AI. Let's use tests to make AI code reliable.
Most of a developer's life is reading code someone else wrote. AI is astonishing at this. Here's how to get fast, honest explanations of unfamiliar code.
Refactoring means changing code without changing behavior. That used to be scary. With tests and AI together, it becomes routine.
Time to get hands on. Install a real AI coding editor, sign in, and write your first line together. No credit card required to start.
Git is a time machine for your code. Before we ship anything, let's learn the three commands that matter and what they actually do under the hood.
Let's make something real. A single-page site with HTML, CSS, and a little interactivity. You plan, the AI drafts, you review and ship.
Bring it all together. Pick one of three starter projects, plan it, build it with AI, and deploy it. You are now a builder who ships.
Variables are named boxes for data. You'll write your first ten, then use AI to decode error messages and grow your intuition for types.
If-statements and loops are where programs come alive. You'll write both kinds, then see where AI autocomplete helps and where it lies.
A function is a reusable chunk of code with a name. You'll write three, add type hints, and let AI suggest better names and docstrings.
Lists are ordered rows; dicts are labeled lookups. You'll use both to solve a real problem, and catch the mistakes autocomplete makes.
A CLI quiz app: Claude generates questions on any topic, you answer, it grades. Teaches prompts, loops, and keeping state.
Variables, loops, and functions are the atoms of Python. Let an AI help you write them while you learn what each line actually does.
Lists hold ordered items. Dicts hold keyed pairs. Comprehensions make both sing. Learn the core patterns AI will push you toward.
Reading and writing files is where real scripts start. Learn the with-statement, path handling, and JSON round-trips.
TypeScript is JavaScript with types. Learn how `strict` mode catches bugs at compile time and how AI writes cleaner types than you might alone.
SELECT, WHERE, JOIN, GROUP BY. Four keywords run the data world. AI is excellent at SQL because it has read every StackOverflow answer ever.
The terminal is where real work happens. Pipes, variables, and loops in bash are a superpower — and AI is surprisingly good at shell one-liners.
An AI that paints starts with pure noise and removes it, one step at a time, until a picture appears. Here's the surprisingly beautiful math behind it.
Five image models, five personalities. Here's when each one is the right pick — in 2026, with current strengths, costs, and quirks.
Great image prompters aren't typing harder — they're using a mental framework. Subject, setting, style, composition, lighting, mood. Here's the system.