Leading vibe coders, non-technical founders, and other builders through the decisions that AI makes for you, unless you take control.
Every day, people build software with AI. Most of those projects fail, not because the AI wrote bad code, but because nobody made the decisions the code depended on.
Recent Articles
-
Surface, Explore, Record: A Three-Step Framework for AI-Assisted Development

When you ask AI to build something, it doesn’t just write code. It makes dozens of decisions you never see: how to store your data, who can access what, what happens when something fails, which dependencies to trust. These silent decisions work fine during development. Then you deploy, or try to add a feature, or…
-
Production Thinking: Engineering for Vibe Coders

Prototypes are fast, messy, and constantly changing. Production thinking is the mindset that ensures your system can survive and thrive in the real world. This article shows vibe coders how to anticipate failure, maintain data integrity, monitor behavior, deploy safely, and secure their systems without slowing down iteration.
Read more articles…

About Alan…
Alan Knox brings over four decades of hands-on experience in technology development and implementation to the challenge of making artificial intelligence accessible…
Resources…
Production-Ready AI:
More than 80% of AI projects fail in production. The Production-Ready AI Solution Framework is designed for Executives, Architects, Engineers… anyone who want to increase the chance of success for an AI project when it is deployed into production.
Also:
- Making AI Work: A Strategic Guide for Businesses
- Free AI Assessment
More resources to come…



