Aioway is a framework that lets users specify what ML task they want to accomplish rather than how to implement it. The system automatically detects the task type, available resources, and selects appropriate algorithms and models. Built as a compiler-like layer on top of PyTorch, it aims to produce explainable (white-box) models and supports scaling across different machines. It incorporates lazy evaluation and relational algebra concepts to optimize the compilation process.