PhysiX AI — Simulation Debugging Agent

An AI agent that analyzes physics simulations, detects numerical instability such as energy drift or oscillation growth, explains the root cause, and recommends fixes to stabilize the system.

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Inspiration

Physics simulations often fail in subtle ways: exploding energy, oscillation growth, unstable integration, or timestep errors.

PhysiX AI is an intelligent debugging agent designed to analyze simulation behavior and explain what is going wrong.

The system runs physics simulations, measures stability indicators such as energy drift, oscillation growth, and acceleration spikes, and converts these signals into an interpretable diagnosis.

Instead of only showing graphs or raw metrics, the AI agent explains the likely root causes and recommends specific fixes such as adjusting timestep, switching integrators, or increasing damping.

The goal is to reduce the time developers spend diagnosing unstable simulations in fields like game physics, robotics, and engineering simulation.

Key Features: • Simulation stability scoring • Automatic detection of numerical instability • Root cause analysis • AI explanation of simulation behavior • Suggested fixes for stabilization • Interactive visualization and charts

This project demonstrates how AI agents can assist developers by interpreting complex physical system behavior.

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