Claire Gouze lays out a practical process to build and test a context layer your data agents can trust. She shows how to start small with dbt docs and markdown files, write evals, clean up data models, and iterate until you reach around 90% reliability.

SQLBuild plugs into an existing dbt project to fingerprint models, skip unchanged work, and clone production tables in development instead of rebuilding them. It stores all state in append-only warehouse tables, adds ingestion and Python nodes, and offers built-in testing, audits, and incremental processing with no external services.

Docglow replaces built-in dbt docs with an interactive single-page app that works out of the box with any compiled dbt Core project. It generates a static site featuring unlimited models, column-level lineage, project health scores, full-text search, AI-powered chat, and dark mode with zero configuration.