Admittedly, we are not yet in an era where enough data exists to train one single endto-end model capable of solving all structural biology challenges. The AlphaFold2-RAVE pipeline aims to take the guesswork out from those black box models, prioritizes a physically interpretable foundation over rapid inference and universality. It is built on solid statistical sampling principles, emphasizing that shorter sampling from many well-informed initial guesses is more efficient than prolonged brute-force sampling. We have shown this method works particularly well when the user knows the structure features it would like to sample.