According to @godofprompt, a straightforward adversarial prompting technique—asking AI to argue against its initial response and identify logical weaknesses—has led to a 40% accuracy boost in DeepMind's internal mathematical reasoning tests (source: @godofprompt, Dec 18, 2025). This dual-phase approach prompts the model to self-critique, revealing flaws and unstated assumptions that single-pass reasoning often misses. The method requires no advanced prompt engineering or chain-of-thought scaffolding, making it immediately accessible for AI developers seeking to enhance output reliability and robustness. This development highlights significant business opportunities for companies integrating AI in critical decision-making, quality assurance, and risk analysis, as the technique can be implemented to increase trust in generative AI outputs across various applications.