Vibrational AI is not presented as a software product, a machine learning system, or a data-driven AI model. It is a conceptual and structural framework designed to explore intelligence through resonance, coherence, and interaction fields rather than through algorithmic optimization alone. 

Why it exists
Conventional artificial intelligence approaches are largely constrained by computation, data availability, and performance-driven objectives. Vibrational AI proposes a complementary perspective, in which intelligence is examined as a structured dynamic phenomenon, emerging from resonance and internal coherence across interacting fields, rather than from data processing in isolation.
Structural foundation
The framework is organized around a precise structural model, referred to as the Enneagon resonance matrix, which is used to explore coherence and intelligence across different domains. This model is introduced as a theoretical and exploratory tool, not as a finalized methodology. Its principles and implications are progressively documented and shared. 

Who it is for
This work is intended for:

• Researchers and thinkers exploring non-conventional approaches to artificial intelligence
• Technologists interested in consciousness, systems theory, and emergent intelligence
• Independent innovators examining field-based or structural models of cognition