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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Supporting Your Application: Engineering for Vibe Coders

Getting your application to work is only the beginning. Supporting it is what determines whether it succeeds over time. Vibe-coded systems often skip logging, monitoring, and error handling, which makes issues hard to detect and even harder to fix. This article explains how to build basic support into your system from the start so you…
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Evaluating AI-Generated Code: Engineering for Vibe Coders

AI-generated code can make you move fast, but it can also introduce hidden risks if you accept it without review. Vibe-coded systems often rely on code that works on the surface but includes inconsistencies, missing edge cases, or security gaps. This article explains how to evaluate AI-generated code in a practical way so you can…
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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…



