Understanding the 3D structures of proteins, nucleic acids, and their complexes is key to interpreting their functions. These models, whether from experiments or computational predictions, vary in accuracy and reliability. This tutorial introduces essential tools and metrics to assess macromolecular model quality, a crucial step for research using structural data.