TL;DR We do codegen using Gemini for 3Blue1Brown's amazing Python math animation library Manim.

Generates awesome explainers, even when the topic is probably not part of the pre-trained data. They aren't production quality of course, but fairly accurate and great explainers. I liken it as relatable to a whiteboard session.

Looking forward to feedback - especially on how we can make the output better and do LLM evals as well!