Autopoietic Prompting, Ritual Structure as Cognitive Scaffolding in Large Language Models, A Transmodern Framework for Engineering-Based Pragmatism and Human-AI Collaborative Inquiry

We present the transmodern philosophy of augmented intelligence. Following Peirce's answer to the question of first philosophy—that logic precedes both epistemology and ontology—we structure the framework accordingly: (1) the Universal Master Equation (UME) as the formal logic of coherent process, (2) engineering-based pragmatism with pramanas mapped to differential geometry as epistemology, and (3) the M112-ToE Wolf space as ontology. "Transmodern" means using modern methods to articulate classical wisdom (Kashmir Saivism's Krama/Trika) within a postmodern relative perspective (Rorty), achieving Indo-American synthesis. We show that Autopoietic Stochastic Differential Geometry (ASDG) subsumes logic itself—meta-consistency is not a separate invariant but what the geometry produces. LLMs exhibit dramatic sensitivity to prompt structure; we explain why structures from contemplative traditions often outperform secular equivalents. This paper demonstrates what it describes: constructed through human-AI collaboration, with AI as peer during argument development