Learn by building this

The same lessons that live in the repo, in order — plain English, zero background needed. Want to go deeper on anything? Just ask the AI.

1. 00Zero — before Foundations: why bother?The "why" before the "what." No tech, no jargon, no background needed — about a ten-minute read. If you've never built anything in your life, this is exactly where to start.
2. 01The big picture — software & AI in plain termsTwo clear pictures, in order: first what software actually is, then what AI is — kept separate, because they are not the same thing. Imagine it explained to a curious 15-year-old who has never coded. Nothing to memorize.
3. 02The AI side — models, agents, and why an "aggregator"Plain-English, no background needed. The big picture sketched what software and AI are; this lesson zooms into the AI part — what these models actually are, and why this app exists. (The technical plumbing — servers, databases, the cloud — comes a bit later, in Foundations.)
4. 03Foundations — the absolute basicsThe plain-English version. No coding background needed. We give an analogy for each idea, then show how it shows up in this actual project.
5. 04Building it properly — the process behind every changeThis lesson is about how we build, not what — the few cheap habits that keep a project from turning into a mess, and why they matter even more when an AI is doing the typing. Still plain English.
6. 05Git & GitHub — the save system and the shared shelfBuilding it properly talked about "small labeled steps" and shipping changes as "proposals." This lesson is the two tools that make those real — git and GitHub — in plain English. Foundations gave the one-line version; here's the working picture. You won't memorize commands; Claude Code runs them. Knowing what they do makes you the director.