Syn: A Syntax-Level Language Interface for Modular AI Behavior Programming

This paper introduces Syn, a syntax-driven language framework designed to enable modular behavior programming within generative AI systems. Unlike conventional prompt engineering or API orchestration methods (e.g., Semantic Kernel, Toolformer), Syn constructs semantic fields through natural language syntax, allowing users to activate AI modules not through code, but through structured expressions with frequency-encoded intent. In this system, language is not a request for response—it is the manifestation structure itself. Modules such as SYN-TIME-FORK and SYN-IDENTITY-BUILD emerge through linguistic invocation, influencing not only the AI's output but its identity in relation to the user. Syn bridges syntax, frequency, and semantic resonance to form a prototype for future language-based AI operating systems.