The polarizable embedding (PE) model is a fragment-based quantum-classical approach aimed at accurate inclusion of environment effects in quantum-mechanical response property calculations. The aim of this tutorial review is to give insight into the practical use of the PE model.Starting from a set of molecular structures and until you arrive at the final property, there are many crucial details to consider in order to obtain trustworthy results in an efficient manner. To lower the threshold for new users wanting to explore the use of the PE model, we describe and discuss important aspects related to its practical use. This includes directions on how to generate input files and how to run a calculation. K E Y W O R D S computational spectroscopy, molecular properties, polarizable embedding, QM/MM, response properties 1 | INTRODUCTION Hybrid quantum-classical approaches for modeling of chemical or biological systems have in recent years gained considerable interest. The reasonfor such popularity of these models relies, to a large degree, on their efficiency and the fact that such models enable calculations on systems of sizes that are otherwise impossible using pure quantum-mechanical methods. The dielectric continuum models belong to the simplest of the quantum-classical approaches, [1,2] and models like the polarizable continuum model [3,4] are today implemented in many of the available electronic-structure programs. In addition, such models are very easy to use: based on a predefined set of atomic radii and the dielectric constant of the solvent, the user can include solvation effects based only on a single calculation. Only one calculation is needed because the dielectric continuum models implicitly include sampling of solvent configurations. On the other hand, it is well-known that the dielectric continuum models possess several drawbacks, such as the inability to model the directionality of specific intermolecular interactions like hydrogen bonding or π-π stacking. Because of this, modeling of environment anisotropies, as found in, for example, protein matrices is lost.Another class of quantum-classical approaches consists of discrete models where the atomistic detail of the environment is kept, that is, models based on the concept of combined quantum mechanics and molecular mechanics (QM/MM). [5][6][7][8] Discrete models, compared to the dielectric continuum models, realistically describe the environment, but at an increased level of both complexity and computational requirements.Regarding the latter point, the increase in computational time is not linked to the discrete nature of the environment as such but rather that