In this work, I present a novel approach to ECL simulation using ChatGPT 18 to generate a Python script that models annihilation ECL reactions in a nanofluidic channel. This script is based on a a two-dimensional random walk algorithm and accounts for both electrochemical and chemical reactions as well as light emission. The results of this simulation align fully with those obtained from a prior finite element analysis 9 of the same system, and they reveal dynamic, time-dependent behavior. Furthermore, because this approach evaluates the stochastic behavior of diffusing and reacting particles, it enables noise analysis such as determining the power spectral density of luminescence-intensity time traces.