As a demonstration of what can be accomplished with contemporary LLMs, this paper outlines the high-level design of an AI-first, program-synthesis framework built around a new programming language, Universalis, designed for knowledge workers to read, optimized for our neural computer to execute, and ready to be analyzed and manipulated by an accompanying set of tools. We call the language Universalis in honor of Gottfried Wilhelm Leibniz. Leibniz's centuries-old program of a universal science for coordinating all human knowledge into a systematic whole comprises two parts: (1) a universal notation by use of which any item of information whatsoever can be recorded naturally and systematically, and (2) a means of manipulating the knowledge thus recorded in a computational fashion, to reveal its logical interrelations and consequences. Exactly what current day LLMs provide!