AlphaFold cracked the code of protein structure. The next major frontier is decoding the dynamic behavior of the living cell itself. A fundamental challenge in modern biology is that of precise, engineered cellular control. Cells possess their own language for communicating with each other -- cell signaling -- which directs core biological processes like development and is frequently dysregulated in disease. Remarkably, biology achieves this complexity using a surprisingly concise vocabulary: only around 20 fundamental molecular signaling pathways have been identified to date. It is the combinations and orders in which they are used that underlies how such a small number of pathways can give rise to the staggering diversity of human cell types and states. In principle, because these pathways are readily manipulated by small molecules, they provide a potent mechanism through which we could control cellular decision-making. However, despite decades of effort, we have not yet deciphered the grammar of this language. Today, the effects of a given signal are largely determined through an empirical, trial-and-error process -- due to two compounding challenges: combinatorial complexity and context dependence. This talk outlines Cellular Intelligence's solution: the construction of the first Universal Virtual Cell-Signaling Model, a platform intended to compute how any cell state will change in response to external signals. By combining the paradigm of developmental biology -- nature's own proving ground -- with our proprietary multiplexing platform, we transform cell signaling from an empirical art into an engineering discipline built for therapeutic design. We aim to unlock high-impact applications: from guided cell therapies that replace lost tissues, to context-specific drug response prediction, to new ways of modeling disease as signaling network failures. Our goal is to understand, predict, and ultimately control cellular behavior.