Engine
Production-grade game theory learning platform
Strategy Studio
A curriculum-wide interactive suite for learning rational choice, static games, dynamic games, incomplete information, signaling, auctions, mechanism design, and invisible-hand market clearing through simulation, strategic experimentation, visualization, and debriefs.
6Worlds
29+Modules
8Playable engines
∞Counterfactuals
Curriculum path
From choices to rule design
The new game theory spine is a six-world campaign: each stop introduces a formal idea, turns it into a visual mechanic, then asks learners to break and rebuild the incentive system.
Campaign map
Worlds, labs, and simulations
Select a world to inspect the full curriculum coverage and launch a simulation-backed lab.
World
Capstone
Strategic lab bench
Run a playable concept engine
These are intentionally modular: each lab has an action space, agent model, transition logic, visualization payload, and educational debrief that can later move behind an authoritative multiplayer service.
Technical execution map
From static suite to production platform
Frontend
Next.js + TypeScript lab routes, Tailwind design tokens, Framer Motion visual transitions, simulation reducers, replay timelines, and scenario creator UI.
Realtime backend
Node match gateway, WebSocket rooms, Redis pub/sub, command validation, commit-reveal for simultaneous moves, replay persistence, and Prisma/PostgreSQL metadata.
Simulation services
Shared TypeScript contracts with Python microservices for Monte Carlo auctions, market games, Bayesian updating, and research-grade mechanism testing.
AI learning layer
Agent personalities, adaptive difficulty, tutor prompts constrained by structured traces, scenario generation pipelines, counterfactual summaries, and mastery recommendations.