Abstract
We present Madison, an advanced cognitive architecture operating over state-of-the-art foundation models, driven by an instruction corpus of creative methodology rather than creative output. Where vanilla models have attempted to synthesize advertising by ingesting massive volumes of average, real-world campaign copy, we argue that this approach produces fluent mimicry rather than genuine creative problem solving.
Madison was instead systematically structured using primary sources of creative cognition: annotated ideation structures, ethnographic records of award-winning creative directors at work, phenomenological accounts of the insight moment, and Csikszentmihalyi's corpus on flow states. The result is a system that does not recall good ads — it arrives at them, through a specialized instruction architecture that is, to our knowledge, structurally unprecedented in the literature.
This document describes the system architecture, instruction procedure, and evaluation protocol. Readers seeking a concise summary are directed to §3 ("Methodology"), wherein several aspects of our working environment will, we acknowledge, require some explanation.
