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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Vibe coding’s real problem isn’t the code

AI writes really good code now. So why do so many vibe-coded projects still end up in trouble? Because code quality was never the thing to worry about. The real problem is the decisions getting made behind the code, silently, by an AI that doesn’t have your context. Here’s what those silent decisions cost you,…
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Cost of Ownership: Engineering for Vibe Coders

One of the biggest traps in vibe coding is focusing entirely on how quickly something can be built while ignoring how expensive it becomes to operate, maintain, and evolve later. Modern AI-assisted development makes it incredibly easy to create complex systems fast. But every dependency, cloud service, AI workflow, and abstraction introduces long-term operational costs…
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…



