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.
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.