Great news! You've built a cool Web AI application that runs machine learning models directly on a user's device. It runs entirely on the client-side web browser, without relying on the cloud. This on-device design enhances user privacy, boosts performance, and reduces costs significantly. However, there's a hurdle. Your TensorFlow.js model can operate on both CPUs (WebAssembly) and more powerful GPUs (through WebGL and WebGPU). The question is: how can you consistently automate browser testing ...