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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Mapping the User Journey: Letting AI Chart Every Path So You Can Pick the Spine

Ask AI to map how a user moves through your app and you get a tidy list of every possible step, all laid out as if they matter equally. That flat map is the trap. AI is great at charting the complete terrain, including the messy paths and failure points you would forget, but it…
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Choosing Your MVP: Letting AI Expand the List So You Can Make the Cut

You ask AI for a feature list for your app and thirty seconds later you’ve got a beautiful, comprehensive set of possibilities. That’s the trap: the list looks like an answer, but it’s really just a pile of options with no priorities attached, and if you’re not careful it quietly becomes your scope. This article…
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…



