LLM Plays Fire Emblem is an AI gameplay system for a strategy RPG. It reads emulator state from mGBA, gives the model tactical and story context, sends controller decisions back to the emulator, and streams telemetry to a React dashboard.
What It Proves
- Emulator integration through Lua/socket state capture.
- LLM decision loops for tactical games with map state, unit context, screenshots, and commentary.
- A real-time dashboard for game state, decisions, action history, and chronicle-style interpretation.
- Product instinct for AI entertainment systems: the goal is compelling clips and proof-of-work, not 24/7 infrastructure before demand exists.
Spellbrush Fit
This is the clearest proof for anime/game-adjacent frontend roles: strategy games, React/TypeScript UI, complex state visualization, and AI-assisted creative tooling around gameplay.
Current Scope
The portfolio goal is curated demo runs, short clips, screenshots, and an architecture writeup. It is not a production livestream service yet.