Why most AI tutorials miss the point

Most AI tutorials teach you how a tool works. Very few teach you when to use it. That gap is where people get stuck.

Knowing the mechanics of a prompt is not the same as knowing which problems are worth prompting in the first place. The interesting skill is not in the syntax. It is in the judgment.

The context problem

Every tutorial exists in a vacuum. Clean examples, controlled conditions, predictable outputs. Real work is messy. The tools behave differently when you bring your own context, your own constraints, your own taste.

What would actually help

Tutorials that start with the problem, not the tool. Tutorials that show the failed attempts alongside the successes. Tutorials that respect the reader's intelligence without assuming their expertise.

That is what I am trying to build here.