ChaosLab

ChaosLab is a web app (with optional desktop companion) for building and running small-to-mid scale complex-systems simulations without needing a PhD or a full modeling team. Users assemble systems from reusable blocks (agents, networks, feedback loops, delays), import real data, and run scenario sweeps to see where outcomes become unstable, path-dependent, or sensitive to tiny changes. It focuses on practical questions: “Which policy lever actually matters?”, “Where are tipping points?”, “What early-warning signals can we monitor?”, and “How robust is this plan under uncertainty?” It outputs clear dashboards: bifurcation-style views, sensitivity rankings, regime maps, and “fragility” scores. This is not a magic prediction engine; it’s a decision-support sandbox that makes assumptions explicit and helps teams avoid overconfident linear thinking. AI assists with model setup, parameter estimation, and plain-language explanations of results.