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
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Reproducing the Bug Before Fixing It: Letting AI Chase the Cause While You Hold the Line on Proof

When something breaks in your AI-built app, the tempting move is to paste the error into your assistant and accept the confident fix it hands back. But a fix that makes the error go away is not the same as a fix that works, and AI has no way to watch your running app and…
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Handling a Security Issue: Letting AI Triage the Alert While You Judge the Real Exposure

A scary alert shows up with “critical” in red, you paste it into AI, it hands you a confident fix, and the red goes away. But security ratings measure the worst case for anyone, not the real risk to you, and you may have just patched a ghost while a quieter, realer hole sat wide…
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…



