According to @godofprompt, Google DeepMind researchers have disclosed a new prompting strategy called 'role reversal' that significantly enhances AI reasoning capabilities. This technique, outlined in their recent findings, increases logical accuracy in AI models by up to 40%, a substantial improvement over traditional prompting methods (source: @godofprompt, https://x.com/godofprompt/status/2001577785970802803). The business implications are significant, as AI developers and companies can leverage this method to build more reliable and accurate AI systems, driving competitive advantage in sectors like finance, healthcare, and enterprise automation. The 'role reversal' approach is poised to become a best practice for prompt engineering, offering immediate, practical benefits for AI product teams and solution architects (source: @godofprompt).

According to God of Prompt (@godofprompt), when users ask ChatGPT a complex question, the initial answer is often incomplete because the model does not challenge its own logic or search for gaps in reasoning (source: Twitter, Dec 18, 2025). Adopting a 'role reversal' approach—where the AI is prompted to critique its own response—significantly enhances answer quality by identifying logical gaps, unsupported assumptions, and reasoning flaws. This method presents a concrete business opportunity for companies developing AI-driven customer support, content generation, and decision-support tools, as it can improve response accuracy and user trust by systematically integrating self-critique prompting into AI workflows.