Persistent 4X strategy simulation with evolving factions, tactical combat replays, terminal HUD, and analytics. Python + Rust core.
Reinforcement learning based optimizer with extensible architecture. Using plug-ins it can be used for trading strategy, porfolio or hyperparameter optimization, using optimization methods like genetic algorithms or q-learning, and diverse agent types as heuristic strategies or using machine learning on observations to produce agent control actions
Django based tool for selecting educational software via learning outcomes
A 3rd-order consequence simulator for strategic decision support. Forces the AI to predict downstream ripple effects across 10 stakeholder categories and flags "Fragile" decisions where short-term gains mask long-term risks.
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