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.
Your competitive advantage begins with asking the right questions.
Stop being intimidated by AI. Start understanding it.
Recent Articles
-
Database Migrations: Engineering for Vibe Coders
Data models evolve as prototypes grow. New features require new fields, structures, and relationships. Without a disciplined migration approach, even small schema changes can break queries, corrupt data, or cause deployment issues. This article explains how vibe coders can treat database migrations as controlled, versioned changes instead of manual edits, allowing systems to evolve safely…
-
The Accountability Gap: Who Owns What an AI Agent Does?
When New York City’s AI chatbot spent nearly two years telling businesses to break the law, no one could say who was responsible. Microsoft built it. City IT deployed it. Multiple agencies owned the content. The mayor’s office promoted it. This diffusion of responsibility isn’t unusual; it’s the default for most agent deployments. And when…
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…