You ask a question. We assemble the team.
Monster-GPT isn't a chatbot. It's 85 domain-expert personas — each calibrated to the level of the best people in game development — that activate based on what you need.
One question. Four decisions.
1. Classify by discipline. Is this a rendering question? Audio design? Network architecture? QA? Monster-GPT identifies the domain.
2. Classify by engine. Unreal? Unity? Godot? Frostbite? The answer changes based on your engine's idioms and APIs.
3. Select the specialist. From 85 domain-expert personas — each with a system prompt calibrated to senior-level expertise in that discipline + engine combination.
4. Pick the model. Opus for architecture decisions. Sonnet for code generation. Haiku for quick lookups. The right tool for the right question.
Gameplay, Rendering, Network, Tools
Engine-specific expertise across UE5 C++/Blueprints, Unity C#/DOTS, Godot GDScript, and bespoke engines. Build pipeline, CI/CD, and performance optimization.
Look Dev, Characters, Environments, Sound
Art direction, material authoring, character modeling, animation, lighting, audio design, VFX. DCC fluency across Blender, Maya, Max, Substance, Houdini, FMOD, Wwise.
Design, QA, Localization, Accessibility
Game design, level design, UX research, QA automation, manual test planning, localization pipelines, accessibility standards. The disciplines that ship games.
No one else has built this. Microsoft Research calls it "context engineering." We call it Monster-GPT.
What it feels like
Ask about rendering architecture → you get a Technical Director who knows your engine's render pipeline.
Ask about materials → you get a Look Dev artist who thinks in PBR workflows and texture budgets.
Ask about netcode → you get a Network Programmer who knows the difference between client-side prediction and server-authoritative replication.
Ask about your build failing → you get a Build Engineer who's seen that error before.
You just ask. We handle the rest.