We help curious people turn their ideas into real programs, AI agents, apps, games, and creative projects through Playful Logic, learning by experimenting, solving, testing, and building.

I'm MG Montague. I started Cyberical Academy because I kept seeing the same gap: smart, motivated people learning Python and AI from resources that stopped right before the hard part, the part where code has to actually work in the real world, handle failure, and serve real users. That gap is where I live, and it's what every school I've built is designed to close.

Across my programs, I teach at every level, from a 13-year-old building their first website at Spark Academy, to a developer architecting multi-agent systems in the Innovators track. The throughline is always the same: you learn by building. Every module ends with something real. No busywork, no filler, no theory for theory's sake.

That's also why I use Playful Logic. Learning should not feel like sitting through another online course. Games, challenges, experiments, interactive media, and hands-on projects give you a chance to play with an idea, see how it behaves, and understand it by doing something with it.

My teaching is hands-on by design. I believe that confidence comes from finishing things, a working AI agent, a deployed app, a game someone else can actually play. I also believe that how you build matters as much as what you build. That means clean architecture, responsible guardrails, honest evaluation, and systems that don't fall apart the first time something goes wrong.

If you're ready to stop just watching and start experimenting, playing, testing, and building, there's a program here for what you want to create.