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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DevOps: Engineering for Vibe Coders

One of the biggest misconceptions in software development is thinking the work ends when the code runs locally. Modern AI-assisted development makes it incredibly easy to build and deploy applications quickly, but operational reliability introduces an entirely different layer of engineering complexity involving deployment, monitoring, automation, recovery, and infrastructure management. In this article, we explore…
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AI Agent Failure Handling

Traditional software fails loudly: exceptions, stack traces, crashes. AI agents don’t work like that. They fail quietly and confidently, handing you a finished-looking answer to a question they couldn’t actually solve, while downstream steps treat that answer as ground truth. The mature agent systems aren’t the ones that fail least often; they’re the ones that…
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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…



