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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Handling a Security Issue: Letting AI Triage the Alert While You Judge the Real Exposure

A scary alert shows up with “critical” in red, you paste it into AI, it hands you a confident fix, and the red goes away. But security ratings measure the worst case for anyone, not the real risk to you, and you may have just patched a ghost while a quieter, realer hole sat wide…
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WebSockets vs Server-Sent Events: Engineering for Vibe Coders

One of the first challenges developers encounter when building interactive applications is figuring out how to deliver information in real time. Modern applications often need live updates for AI chat responses, notifications, dashboards, monitoring systems, collaborative tools, and messaging platforms. While both WebSockets and Server-Sent Events (SSE) enable real-time experiences, they solve different problems and…
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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…



