GSCP-15 (Gödel's Scaffolded Cognitive Prompting) is a framework that transforms AI prompting into a governed execution discipline. Rather than treating AI as a simple prompt-response loop, it introduces metacognitive layers: scoping problems before answering, branching across hypotheses, validating outputs against original objectives, and preserving governed memory through telemetry and learning hooks. The framework targets enterprise and agentic AI environments where traceability, repeatability, and self-correction matter. It argues that AI progress requires not just larger models but regulatory architecture — systems that can monitor their own reasoning, surface uncertainty, and improve from past outcomes across long-running sessions.
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