According to @godofprompt on Twitter, "Context Stacking" is a three-layer prompting framework—Situation, Constraints, Goal—that reduces guessing and improves problem solving in large language models. As reported by the original tweet, the method sequences inputs by first stating what is already true, then what cannot change or has failed, and finally the real outcome desired, which can increase consistency and reduce hallucinations in enterprise workflows. According to industry playbooks on prompt engineering cited by the tweet’s guidance, this structure can streamline product discovery, customer support macros, and agentic planning by clarifying non-negotiables before task execution, creating opportunities for lower inference costs via fewer retries and higher first-pass accuracy.