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
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Before You Vibe Code: The Decisions That Turn a Prototype into a Product
Most vibe coders open their AI tool and start building immediately. That speed is the appeal. But it’s also why so many projects hit a wall at week three: inconsistent architecture, forgotten decisions, and scope that quietly doubled when nobody was paying attention. The fix isn’t better prompts or a fancier AI tool. It’s the…
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Product Requirements: Engineering for Vibe Coders
Knowing the problem is only the first step. Product requirements define what to build to solve it. They turn ideas into concrete features, user flows, and expected behaviors. This article shows vibe coders how to define core functionality, prioritize features, and align product thinking with system design so prototypes remain focused and cohesive.
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…