AI models can be brilliant, but they need specific context to be useful. Students start with an AI chat interface that only knows how to send 3 basic commands to a Petoi 'Bittle X' Robot Dog. Their job as AI Engineers is to teach it what else the robot can do.

Using Python, VS Code, and GitHub Copilot, students read technical documentation, add robot commands, make the system show exactly what the AI sends to the hardware, combine simple commands into complex behaviors, and connect the model to live documentation through a simplified version of retrieval augmented generation (RAG).

By the end, students have seen both sides of AI Engineering. Traditional code controls the robot directly, while context teaches AI how to control it.

A 60 minute hands on workshop for high school and college students interested in AI, coding, or robotics.