| 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 |