FIN: Four Interdependent Nodes. A Primer on a Model-Agnostic Governance Architecture for AI

FIN (Four Interdependent Nodes) is a model-agnostic governance layer that sits over any AI engine. It does not produce the answer; it evaluates whether an answer has earned the right to bind into consequence, and where it has not, it builds a corrected candidate. This primer presents the architecture in condensed form: four nodes and twelve subnodes with their predictable drift modes, the rotation of four archetypal failure patterns across them, the synthesis principle by which each node registers the framework's own effect on what it governs, and the operating cycle. It also states the framework's theoretical origins, which are clinical rather than technical. FIN began from a question about how a response is formed, why it repeats, why it closes, and why it sometimes cannot be corrected: a line running from Freud through Lacan, extended with Dennett and Dawkins, and carried into an operational model of governable agency. The document states what the framework does not claim before what it does, including its inability to detect what it cannot represent. It is an entry point to the full architecture rather than its complete specification.