MagneticApps

Why do most businessesfall behind on AI?

Not because they don’t care. Because turning model capability into working software — reliably, in production, for a specific business problem — is genuinely hard. That’s the gap.Every month Claude gets more capable. Models improve. New tools ship. The distance between what AI can do and what most businesses actually use keeps growing.In 2006 I found candidates in a physical phone book.

What’s the right question to ask before any AI project?

It’s not “what AI tool should we use?” It’s “what kind of problem do we actually have?” That answer determines everything — what to build, how to measure success, and whether AI is even the right tool. Before architecture, before models, before a single line of code, I ask that question first.

Does every business problem need an AI solution?

No. Not every problem needs AI, and I’ll tell you when it doesn’t.

What’s your process for AI projects?

Four steps — Discover, Design, Build, Iterate — and Discover is the one that saves you from the other three: skip it, and the rest cost far more to get right. Every engagement follows the same arc; knowing which stage you’re in shapes what questions make sense to ask, what decisions are ready to be made, and where risk builds up if you move too fast.Stage 01🔍DiscoverFind the real problem.