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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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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File & Folder Structure: Engineering for Vibe Coders

File and folder structure determines how your project scales, not just how it looks. Vibe-coded apps often start simple but quickly become hard to navigate as files grow, logic spreads, and responsibilities blur. This article explains how structure impacts maintainability, how it affects AI context windows, and the pre-prototype habits that keep your codebase organized,…
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…



