The present text is a compilation of machine-generated writing, meant to contribute to the ever-growing realm of Electronic Literature through a deformation and reinterpretation of the genre itself. Using machine-learning, my work seeks to explore the junction of computation + narrative and investigate the ideas of "post-digital" and "post-lit,Ó ultimately evoking questions about humanity and the humanities in the age of increasingly intelligent AIÐÐ e.g., what does it mean for electronic literature when the machine is writing it? The process involved training several multi-layer recurrent neural networks (LTSM, RNN) at varying numbers of epochs and temperatures to experiment with the generated output. The models trained for 1 or 2 hours at the lower end and up to 4 or 5 hours at the higher end, using both Google's virtual machine via a Google Collaboratory notebook, as well as my own GPU.