The idea of designing materials purely through computation is a powerful idealization. While computational methods can generate a vast number of potential compounds, many of these may not be practical under real-world conditions. For this reason, computational and experimental approaches should advance in parallel. Computation provides theoretical insights and guides the research space, while experiments validate predictions, uncover limitations, and reveal unexpected behaviors. Bridging the gap between theory and practice allows us to transform abstract concepts into real materials, driving progress in a more integrated and impactful way within materials science.