I'm an independent researcher and author based in Brazil. For several years I worked privately on a framework I call HSA (Human System Architecture), which treats the human as a predictive system and asks what holds a coherent observer together inside it. About a year ago I began publishing: a set of working papers on the architecture of subjectivity and attention (SSRN), a preprint on observer stabilization (Zenodo), and two books.

What I'm working on now is the part that brought me here. The same structural account appears to carry over to AI systems, and more importantly to the coupled human–AI system: as people increasingly think with these models, what determines outcomes is the pair, not the model alone. I want to make that measurable and testable.

I don't come from an academic post, and I'm not asking anyone to take the framework on faith. I work with one discipline above all: a compelling, internally coherent story is not evidence, so I mark the predictions that can fail and the edges where the framework stops.