Intelligent systems are, by definition, setups that are able to adapt their features and functions for a specific set of applications. Systems intended to be "intelligent," or "smart," usually have a specific arrangement of active and passive structural components. The first class is the key of a setup and includes all those parts of a device made of materials that are activated upon a triggering stimulus (e.g., pH, heat) against nonreactive components. Smart systems, in a broader sense, also include those made of materials able to perform living-like functions, such as healing, sensing, and actuating. [1] Designing intelligent systems has pushed scientists to develop new strategies in terms of behavior enhancement and property predictability in relation to each specific application. For instance, any device intended for the biomedical sector has to comply with the challenging needs of dimensions and biocompatibility to prevent any mechanical and biological issue to living tissues. In contrast, applications for industrial robotics require high adaptability and reliability for manipulating objects and, in case of collaborative robotic operations, to ensure operator safety. While previous design approaches have included mathematical techniques like linear elastic topology optimization or level-set topology, [2] multiphysics finite-element models (FEMs) have widened the design space, giving scientists new tools to design, simulate, and predict the behavioral capabilities of complex structures, also by introducing material and geometric nonlinearities and solving multiple physics problems in parallel. Remarkable examples are the optimization of structures included in geometrical and material nonlinear environments, [3] studies on failure mechanisms difficult to observe experimentally, [4] or the development of compliant mechanisms for mechatronic and medical applications that exploit nonlinear deformations. [5] However, the traditional path of a device from the in silico design to manufacturing has two main limitations. From the design standpoint, FEMs represent a powerful tool that can handle parametric models by sweeping parameters across specific ranges of values. Yet, they cannot smartly cover the large number of design parameter combinations without an expensive computational cost. [6] This scenario is also complemented by the traditional fabrication technologies that narrow the topologies