This publication records the conceptual and architectural framework of the Adaptive Interaction Cycle Layer (AICL). AICL defines a minimal, domain-agnostic regulation layer for adaptive systems, including artificial intelligence and autonomous agents. The framework models system operation across three orthogonal dimensions—function, mode, and context—and treats instability as a form of phase misalignment between interacting cycles rather than as a content-level error or moral failure.The contribution is strictly structural. No algorithms, thresholds, heuristics, training methods, or implementations are specified. The document introduces no performance claims and does not prescribe system behavior. Its sole purpose is to establish conceptual priority for a process-level approach to coherence, stability, and early regulation in adaptive systems.AICL is independent of any specific model, vendor, or application domain and may be implemented in multiple ways. This publication does not restrict independent experimentation or future implementations and is intended as an architectural reference rather than an operational guide.