Expanding Decision Space: The Role of Reflective AI in Corporate Strategy –This paper is an open enquiry for those working at the evolving edge of AI, systems thinking, and human strategic understanding. It invites researchers, engineers, strategists, and contemplatives to explore how large language models might serve as reflective companions, helping broaden decision space and deepen systemic awareness

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Toward a Resonant AI: Modeling the Dynamics of Mind through Buddhist Texts – This position paper presents an AI framework for modeling the dynamics of mental states, drawing from rich Buddhist textual sources such as the Bardo Thödol (Tibetan Book of the Dead)

TENSORS, FIELDS & MEANING SPACE – Exploring how tensor structures, field theories, and deep learning models parallel Buddhist views of cognition and meaning.

Structured Descriptors for Dynamic Mental States: Foundations & Examples – Can buddhist maps of the mind help us understand the dynamics of how awareness moves and changes through mental states? This article explores describing transitions in consciousness using structured descriptors based on Buddhist texts like the Bardo Thödol—and integrating them into a conversational LLM system to support enquiry, reflection, and even sociocultural analysis.