The Antifragile Prompting Framework (AFP) is not a set of tricks, but an engineering layer for prompt governance. It enables AI systems to stay controllable, reproducible, and explainable even in complex or high-risk environments.
At its core, AFP embraces antifragility: systems under stress do not collapse, but evolve through feedback loops. It is not a quick fix — it is a long-term quality assurance mechanism.
SafeLoop, AFP’s core cycle, provides transparent and iterative prompting loops, ensuring every AI output grows within a verifiable track. No matter how advanced models become, AFP remains the key layer for trustworthy outputs, traceability, and standardization.