Guides & notes

Data Guides

Long-form guides on AI engineering, data, and the systems around them.

Browse by topic below. Each topic page lists the guides it contains — every guide is a self-contained set of HTML pages with drill mode, dark theme, and per-page progress built in.

AI Engineering

Building, shipping, and reasoning about AI systems — agents, MCP, RAG, evals, and the operational glue around them.

Agents MCP RAG & Evals Data Engineering

The modern data stack from a senior analytics-engineering angle — SQL, dbt, modeling, warehouses, orchestration, observability.

SQL & dbt Warehouses Modeling Data Science

Two guides grouped by archetype — product/analytics DS (HeyGen, Cohere) and full-stack/applied DS (SentiLink, Archetype AI). SQL, experimentation, causal inference, production ML, feature engineering.

Experimentation Causal Inference Production ML