The secret sauce lies in the (formerly known as the Kemper-like profiler, but evolved). Unlike convolutional modeling (which captures a static snapshot) or white-box modeling (which tries to reverse-engineer the circuit), Neural DSP uses deep learning. The software listens to hundreds of thousands of samples of the real amp reacting to different playing dynamics, volumes, and frequencies. The result is an uncanny, tactile responsiveness that feels like a real tube amp under your fingers—complete with harmonic feedback, sag, and touch sensitivity.