This article introduces the concept of 'executable architectural intent,' which refers to project knowledge that is not merely informational but is actively enforced as binding constraints on AI agents. This intent is promoted from standard documentation into machine-evaluable formats that can be checked before code is finalized. The promotion process requires knowledge to be explicit, scoped, retrievable at the right time, enforceable via hooks or CI gates, and auditable back to its source decision. AI
IMPACT Establishes a framework for ensuring AI agents adhere to critical project constraints, improving reliability and auditability.
RANK_REASON This article discusses a conceptual framework for managing AI agent behavior rather than announcing a new product, model, or research finding.
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