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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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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The AI Agent Confidence Problem

For three weeks, the finance team’s reports looked fine. Clean formatting, reasonable numbers, on schedule. Nobody had a reason to suspect anything was wrong. Then somebody noticed a discrepancy, traced it back, and found the AI agent had been mishandling one of the data sources the entire time. Three weeks of decisions made on slightly…
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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…



