A shared project. A practical way to learn.

I was teaching my sister to build with AI and wanted to start with something she cared about. We chose a Pokémon team builder together: a useful project based on one of her interests, with real decisions to make along the way.

We went through the whole process together: prompting, building the app, choosing an interface, and deciding how to improve it. The app helps explore teams for the original Pokémon Red and Blue games, working with the original 151 and a team of six. We then hosted it as a public page that she and other people could reach.

1. Start with her interest

   Choose something she wanted to use, so the project had a purpose beyond learning the tools.

2. Teach the decisions too

   Work through prompting, interface choices, and improvements together, rather than treating a generated first version as finished.

3. Finish by sharing it

   Take the project through to a publicly reachable page that she and others can use.

A publicly reachable app built through a shared learning process. The important outcome was helping a less technical person take part in the whole process—from an idea and prompts to interface decisions, refinements, and a hosted page. It is a small example of a larger goal in my work: helping people use AI to do technical things themselves.