Practical playbooks for getting AI to give accurate answers about your data, from connecting your warehouse to defining the metrics every team agrees on.
The hard way (manual prompt engineering) and the easy way (60 seconds), side by side. Pick your warehouse.
Connect your Snowflake warehouse to Claude: the manual approach and the Contextary shortcut.
Connect your BigQuery datasets to Claude: the manual approach and the Contextary shortcut.
Connect your PostgreSQL database to Claude: the manual approach and the Contextary shortcut.
Connect your Redshift warehouse to Claude: the manual approach and the Contextary shortcut.
Documenting, defining metrics, troubleshooting. The articles that turn a connected warehouse into accurate answers.
The four layers of context AI needs (schema meaning, gotchas, join keys, business rules) and the practical order to capture them.
Confidently wrong is worse than wrong. The five places Claude fails on real warehouses, and the fix for each.
Stop the boardroom argument about which AI is right. Define MRR, churn, and pipeline once, used everywhere.
The Model Context Protocol changed how AI tools see your data. A plain-English explainer on what is happening and why it matters.
Connect your warehouse to AI in 60 seconds with Contextary. Free to get started.