According to @godofprompt on Twitter, the Chain-of-Verification technique enables AI models to generate answers and immediately verify them against explicit requirements, significantly improving output quality. This approach, which involves self-correction if any verification check fails, has been shown to catch over 60% of errors that would otherwise go undetected (source: @godofprompt, Dec 10, 2025). For AI industry applications, this method offers concrete opportunities to enhance reliability in generative AI, particularly in areas like enterprise automation, coding assistants, and AI-driven QA systems. Adoption of Chain-of-Verification can reduce error rates, increase trust in AI outputs, and create new business models centered on AI reliability as a service.