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Helpful ideas. Squeaky value.
Helpful ideas. Squeaky value.

You've taken the course. You know the one. Three hours, a lot of slides, a quiz at the end, and nothing that changed how you do your job. Bad e-learning isn't new, and it's not caused by the tools designers use. This post gets into what actually drives it — and where AI fits into that honestly.

Most e-learning projects go sideways before the first slide is built. The problem usually isn't the design. It's what didn't get sorted out at the start. This post covers the discovery work that protects your project, and how to use AI in that process without ending up with content that sounds like it came from nowhere.

AI can do a lot of things faster than you can. That doesn't mean the results are always worth using. Here's an honest look at where AI actually helps in e-learning development — and where it creates the illusion of progress without the substance to back it up.