This chapter introduces the Reframing Cycle, a six-step process that equips leaders to adapt human-AI collaboration as problems evolve. It builds on earlier chapters by showing how to sustain contextual fit between problem movement and the alignment of human and artificial knowledge. The six steps—Framing Prerequisite, Targeted Decomposition, Discovering Flawed Framing, Human Advantage, AI Advantage, and Dynamic Realignment—form a flexible, iterative discipline rather than a linear checklist. Each step clarifies how to define problems, disaggregate hybrid challenges, detect bias or mis-framing, and continuously rebalance human and AI contributions. Examples from national security, business, and healthcare demonstrate how reframing ensures that human creativity, ethical judgment, and contextual understanding complement AI’s speed, scale, and pattern recognition. The chapter also maps the Reframing Cycle to earlier frameworks—Who Leads in the Human-AI Dance and How Does the Dance Flow—illustrating how leadership decisions about responsibility and interaction evolve in tandem with changing conditions. Ultimately, adapting the dance means more than managing technology. It requires the leader’s agility to reframe understanding, realign collaboration, and sustain coherence between dynamic problems and responsive action.