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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AI Agent Contracts: The Missing Primitive in Agentic Systems

Gartner expects more than 40% of agentic AI projects to be cancelled by the end of 2027, and 78% of executives say they couldn’t pass an AI governance audit in the next 90 days. The standard explanations (better models, tighter prompts, more guardrails) keep falling short because they’re aimed at the wrong target. The real…
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Type Systems: Engineering for Vibe Coders

One of the easiest ways to create fragile software is building systems where data structures constantly change without clear rules or expectations. Modern AI-assisted development makes it incredibly easy to generate large amounts of code quickly, but without strong type discipline, inconsistency and ambiguity spread just as fast. In this article, we explore why type…
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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…



