I’m building an experiment called Advaita Inquiry Matrix (AIM).

AIM is an AI-assisted system that models the pedagogical method of Advaita Vedānta. Not a “guru bot,” not mystical content generation — but a rule-governed dialogue system that automates structured ontological inquiry as far as possible.

The idea: • Use a YAML-tagged corpus (Upaniṣads, Śaṅkara, etc.) • Track a student’s conceptual state over time • Dynamically select passages and questions • Apply formal teaching methods (negation, identity statements, paradox, state analysis) • Use constrained Socratic dialogue to expose contradictions

Advaita has a surprisingly rigorous epistemology. The teaching unfolds in a precise sequence. That makes it amenable to: • Semantic tagging • State-machine modeling • Concept graphs • Agent orchestration

The human teacher remains curator and final authority. The system handles structured mediation between text and student.

If you’re interested in AI-mediated pedagogy, knowledge representation, or formal dialogue systems — I’d welcome critique or collaboration.

Spec here: https://drive.google.com/file/d/1DRw486wPENqKmOjruP160Gx4OZnM2WSn/view?usp=share_link

— Dev