According to @godofprompt, DeepMind utilizes multi-layered constitutional prompting by applying a sequence of self-correcting principles to guide AI model outputs. Unlike public documentation that recommends being 'clear and specific,' DeepMind’s internal methodology requires models to verify compliance with one constitutional principle, revise if violated, and then iterate through additional principles. This rigorous process is designed to ensure that AI systems reason about and adhere to layered constraints, not just task completion, significantly improving model alignment, reliability, and safety in real-world AI applications (source: @godofprompt on Twitter, Jan 16, 2026).