This section documents a set of semantic structures considered stable, reusable, and position-independent.
Each concept presented here defines a structural boundary: it constrains how execution may occur, how responsibility is assigned, and how human–AI collaboration is organized.
These concepts are not research hypotheses or future proposals. They function as reference points for system design, standardization, and institutional use.
High-Functioning Structural Cognition refers to a cognitive mode characterized by syntactic-level reasoning, multi-layer structural modeling, and the capacity to construct rules, institutions, and semantic systems through language.
Semantic ISA (Instruction Set Architecture) defines an intermediate execution layer where semantic intent is transformed into constrained, inspectable, and replayable instructions, establishing a deterministic boundary between language and execution in AI-native systems.
Syntactic-Level Collaborative Intelligence describes the human capability to collaborate with AI systems at the level of structure formation rather than output consumption, enabling reliable co-execution, delegation, and institutional embedding.
Tone Engineering is an engineering discipline that treats tone as a controllable semantic parameter in human–AI systems, governing interpretation density, responsibility signaling, and cognitive load.
Semantic DSL defines the structured intent layer that normalizes human or model-generated tasks into capability-constrained semantic programs, forming the authoritative source representation from which deterministic execution can be compiled.
A Syntactic Entrepreneur is a category of founder whose primary capability lies in syntactic-level collaboration with language models, enabling the design of institutions, narratives, and language systems rather than isolated products or business models.