Articles

Every method needs a foundation. These are the non-negotiable beliefs behind how we work — why shortcuts fail, why accountability can't be delegated, and why experience still matters more than tooling.

Before you commit budget or time, you need to know what the sales pitch leaves out. These articles cover the real costs, the security gaps, and the technical limitations that surface only after you've signed.

If your team is going to use AI, they need a process that holds up under pressure. Not tips and tricks — a disciplined approach to orchestration, validation, and accountability that survives contact with production.

AI tools behave differently than traditional software. Understanding consistency patterns, context limitations, and failure modes helps you set realistic expectations and avoid costly surprises.

Most AI demos never ship. If you're investing in AI-enhanced development, you need to know the difference between impressive prototypes and systems that actually run in production with real users.

Adopting AI changes how teams work, who's accountable, and what skills matter. These articles help leaders navigate the organizational side without losing control of quality or responsibility.

Patterns and observations from building with AI every day. The kind of lessons you only get from doing the work — not from reading vendor whitepapers.