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 Quiet AI Agent Problem

Ask people what they like about AI agents and you will hear some version of the same answer. They work in the background. You hand off a task and later it is done. The quiet is part of the appeal. But the same property that makes agents pleasant to use is also what makes them…
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Software Development Lifecycle (SDLC): Engineering for Vibe Coders

One of the biggest misconceptions in vibe coding is thinking software development ends when the code works. Modern AI-assisted development makes it incredibly easy to move from idea to implementation quickly, but software still exists within a larger lifecycle involving planning, testing, deployment, monitoring, maintenance, iteration, and operational reliability. In this article, we explore the…
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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…



