00 · Foundations

The minimum you need before the rest of the playbook makes sense. If you already build with LLM APIs, skim the "Check yourself" questions in each note and move on.

You'll be able to: explain what an LLM does, why it makes things up, how tokens drive cost, and how RAG gives a model your own data.

#	Note	Level	Time
1	What is a large language model?	Beginner	10 min
2	Tokens and context windows	Beginner	10 min
3	Prompting basics	Beginner	12 min
4	Embeddings and vector search	Beginner	12 min
5	RAG in one page	Beginner	10 min
6	Calling an LLM from code	Beginner	12 min

Tip

Do the example in Calling an LLM from code before moving on. Every project in this playbook builds on that one call.

Next: 01 · Coding agents