Architecture has long relied on optical devices to recalibrate vision towards previously concealed datasets. This thesis situates Algorithmic Observation (AO) as a tool within this lineage and explores its ability to invert architectures’ relationship to optical prostheses through the production of n-dimensional vectors. AO is tasked with sensing and making sense of the physical city, a process that relies on the production of algorithmically curated images. These images multiply and reanimate the image of the city provoking new optical regimes that situate aesthetics at the forefront of how architecture is conceived and constructed. This thesis explores a framework for extracting and mobilizing n-dimensional vectors towards the production of an architecture concerned not only with its physical materiality but with its digital footprint.