FlowForge

FlowForge: AI proposes, physics decides. Every plane, turbine and car is designed with a fast simulator that has to guess how turbulence behaves, and it's wrong exactly where air separates from a surface. FlowForge uses AI agents on Muse Spark (Meta Model API) to propose corrections to that turbulence model. A deterministic referee fits, checks and tests every proposal on flows it never trained on, so no score depends on the AI's own judgment. In frozen tests on a 3-D flow no agent had ever seen, the AI-found formula cut the turbulence-model error by 47%; classical sparse regression managed 38%. In our latest loop the AI acts as a physicist, choosing which physical quantities to measure, and on 11 unseen flows those choices beat the textbook features in 4 of 5 runs. Every result, including where we didn't win, is published at github.com/jamorett/FlowForge.