AI training that sticks vs. prompt courses that don't
By Chrysti Reichert, independent AI trainer in Central Florida • Published
Training sticks when your team practices real work with feedback and walks away able to run without you. It doesn't stick when it's a demo of features or a list of prompts to copy.
The difference is not the trainer's energy. It is whether the training was built to change behavior or just to deliver information.
Companies feel this gap every day. The licenses are paid for. The kickoff email went out. And most people tried the tool once, got a so-so answer, and went back to the old way. That is not a tool problem. It is a training problem, and it is everywhere.
The numbers nobody wants on the slide
Microsoft surveyed 31,000 workers. Three out of four use AI at work. Only 39% got any training from their employer. So most people are teaching themselves, in private, hoping they are doing it right.
Here is the part that should change how you buy training. The Society for Human Resource Management found that workers who rated their AI training as excellent said AI made them far more efficient, 89% of them. Workers with poor training or none? 48%. Same tools. Nearly double the result. The training quality was the whole difference.
Why prompt courses fade
Picture the gym in January. Packed. By February, empty. Prompt courses work the same way. Fun in the room, gone by the next deadline.
Researchers split skills into two kinds. Closed skills are fixed steps, like the clicks to make Copilot summarize a doc. Open skills are judgment, like deciding whether to trust that summary before you send it to a client. Feature training teaches the closed skill. Real work runs on the open one, and open skills only transfer when people practice them under real conditions, with feedback. A demo gives you none of that. You watched. You did not practice. So nothing changed.
The test that predicts whether training will stick
Ask one question before you book anyone, including me: "After this, can my team keep going without you?" If the honest answer is no, that you would need to rebook for every new question, that is dependency, not training.
The good stuff is built to leave. Your team should walk out with a prompt library for their real tasks, a short rule for what is safe to paste into a public AI tool, and the confidence to figure out the next thing on their own. One of my clients put it better than I could in a review. He said I made his team able to use AI long after the training was over. That line is the entire goal. If the knowledge walks out with the trainer, you bought a show, not a skill.
Questions teams ask before booking
Most AI training teaches fixed steps in a tool, a closed skill, when real work needs judgment, an open skill. Open skills only transfer when people practice real tasks with feedback. A feature demo delivers information but does not change behavior, so the team goes back to the old way.
It depends on quality. The Society for Human Resource Management found that workers who rated their AI training excellent reported AI made them more efficient 89% of the time, versus 48% for those with poor or no training. Same tools, nearly double the result, driven by training quality.
Ask whether your team can keep going without the trainer afterward. Sticky training leaves a prompt library for your real tasks, a usage policy, and the judgment to solve the next problem alone. If you would need to rebook for every new question, that is dependency, not training.
It starts with your team's real workflows instead of generic feature demos, answers the questions people avoid asking such as what to do when Copilot is wrong and whether a document is safe to use, has people practice on a real deliverable, and leaves behind reusable prompts and a usage policy.
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Your team has the tools and still isn't using them?
That gap is fixable, and it is most of what I do. Tell me where it is stuck and I will tell you straight whether training is the fix or whether you need something else first. Independent, flat-fee, no upsell.