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
-
Testing in Production: Engineering for Vibe Coders

“Testing in production” sounds reckless, but done correctly, it is one of the safest ways to validate change. Real users generate real conditions that no staging environment can fully replicate. By using feature flags, canary releases, and gradual rollouts, vibe coders can safely introduce new functionality, observe behavior, and reduce risk. This article explains how…
-
Why Your AI Agents Might Become Your Biggest Security Problem

AI agents are transforming enterprise operations, but the same capabilities that make them useful also make them dangerous. With 40% of enterprise applications expected to integrate AI agents by the end of 2026, most companies aren’t prepared for what happens when these autonomous systems get compromised or simply make poor decisions at machine speed. Here’s…
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…



