Most AI training is an engineering course or a product tour.
Here is what an owner can choose from today, side by side. Each is good at something. None is built for the owner who just wants their week back.
|
LevelsPower-Ups and the five levels |
Technical AI coursese.g. DeepLearning.AI Agentic AI |
App tutorialse.g. OpenAI Academy basics |
Done-for-you AI appsAI agent and automation tools |
| Time to your first useful result | Under five minutes | About 20 hours over two weeks | A short video on one feature, like voice mode | After setup and connections are done |
| What you need to know first | Your own work | Python, and terms like tool use, planning and multi-agent systems | Where the buttons are in one app | How to connect accounts and map a workflow |
| What you learn | Five principles that work in any AI tool | How to build AI systems as an engineer | How one company’s product works | How to run that one tool |
| What you use | Everyday tools and resources like your voice | Code and developer platforms | One app | Your data, once connected |
| Who checks the result | You, against your own standard | You, in code | Up to you | The tool, until something breaks |
| When the app changes | Nothing to relearn | Mostly still useful | Learn the new version | Rebuild the connections |
Technical courses are greatfor someone becoming an AI engineer. Coursera lists this one as intermediate, taught in Python.
App tutorials are greatas free, quick feature tours. They teach the product, so they stop at its edges.
Done-for-you apps are greatwhen a task is stable and well defined. That’s what I build for owners who just want results.
AI Power-Ups · the difference, in five minutes
Under five minutes. One principle. One habit for good.
A Power-Up is the smallest unit of what I teach: one principle, shown on real work, short enough to watch before your coffee gets cold. Here are five. Press play.