Technical notes

The mechanics behind the projects — how language models work, how to prompt them well, and the architectural patterns that turn a model into a system.

LLM fundamentals

How large language models work

Tokens, next-token prediction, context windows and why models hallucinate — the mental model behind everything else.

Prompting strategies

Prompting strategies that actually work

A practical checklist: structure, formatting, few-shot examples, chain-of-thought and grounding.

Architecture patterns

Architecture patterns: from RAG to agent teams

How the four core patterns relate, and when to reach for each one.