Let the AI Read. Don't Let It Decide.
Defensible AI, not just accurate AI: why, in high-stakes domains, the model should read the evidence but never make the call.

Fidelity is up and obedience is down!
As a developer, you will be silently fired if you execute on user stories exactly as written. It won't be on purpose and it will happen slowly over time. This is called "ticket obedience" and it is no longer rewarded in the age of AI.

Announcing ontology.periscoped.io: A Worldwide Index of Prior Art for Your Data Model
A listing of major and ontologies and other related research.

The Ontology Already Exists: How to Find It Before You Build One
Someone has probably already modeled your domain. A field guide to the world's ontology registries — and how to reuse and enhance the right model fast.

Build an Ontology: The Competitive Advantage Hiding in Your Data
Your data isn't the problem, your model is. Here's how building an ontology turns a pile of data into a competitive advantage your AI and team can trust.

Stop Building on Shifting Sand: Lock Your Object Model Before AI Touches It
AI-assisted projects turn to slop when there's no foundation. Lock two files — a plain-English object definition and a derived data model — and AI has to build on rock instead of shifting sand.