Instructions as Code for AI Analytics
How to manage AI analytics instructions and semantic definitions with Git, pull requests, and automated tests. The result is consistent, reviewable AI behavior as definitions and schemas evolve.
1/13/2026
Thoughts
Evals and Testing for Agentic Analytics Systems
How to make an AI analyst dependable with deterministic checks, evaluator judges, and an automated regression suite that runs on schema, context, and model changes.
11/15/2025
Set up an open-source AI analyst for PostgreSQL in 2 minutes
Context-aware, customizable, and self-improving — an open-source AI analyst for PostgreSQL that builds dashboards you can trust
10/23/2025
Building Reliable AI Analysts: An Observability Framework for Text-to-SQL Systems
A practical guide to shipping a dependable AI analyst—where accuracy fails, the few KPIs that matter, and a self-learning loop that turns failures into improvements
10/15/2025
Semantic Layers Were Built for Control, AI Needs Context to Think
How rigid data models limit AI reasoning, and how rethinking semantic layers can turn control into context
10/9/2025
Build an AI Data Analyst Inside Slack
How to build a data AI analyst inside Slack using Bag of words.
9/23/2025
