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IANUA
A control architecture that mediates actions before execution.
IANUA is a structural control layer designed to intervene between decision and execution in AI-driven systems.
What IANUA is not
ㆍNot an AI model or operating system
ㆍNot an ethical judgment engine
ㆍNot a behavioral optimizer
ㆍNot a surveillance or monitoring system
IANUA does not decide what is right.
It controls whether an action should proceed at all.
Architecture
A control architecture that mediates actions at the boundary between decision and execution, without modifying the AI engine itself.
Input ▸ Control Layer (IANUA) ▸ Output
IANUA is engine-agnostic and does not depend on or alter AI engine internals; it functions as an external control layer in the execution path.
It performs only three structural actions:
ㆍAllow ㆍDelay ㆍBlock
The purpose is not better decisions, but safer moments of non-action.
Applied Scenarios A
(Representative contexts, not the full scope of application)
On-device LLM (Language ▸ Action)
Context: Personal, on-device AI systems where natural language inputs may translate into actions.
Control point: The moment before language becomes executable behavior.
IANUA intervenes to structurally mediate execution without interpretation, profiling, or surveillance, and it does not monitor users, judge intent, or generate recommendations.
Applied Scenarios B
(Representative contexts, not the full scope of application)
Vehicles & Robotics (Decision ▸ Actuation)
Context: Autonomous or semi-autonomous systems with physical, irreversible actions.
Control point: The moment before a decision becomes physical movement.
IANUA intervenes to delay or block execution when structural conditions are not met, and it does not optimize performance, replace safety systems, or perform ethical reasoning.
Scope Clarification
The scenarios above illustrate representative contexts.
They do not define or limit the full scope of application.
The IANUA architecture is subject to filed and pending patent protection.
References
For technical review or structural discussion,
please briefly include your context or area of interest.
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