According to @godofprompt, the Chain-of-Verification (CoVe) standard introduces a multi-step prompt process where large language models first answer a question, generate verification questions, answer those, and then provide a corrected final output. This approach, particularly effective for technical writing and code reviews, yields a 40% increase in accuracy compared to single-pass prompts (source: @godofprompt, Dec 16, 2025). CoVe's systematic self-correction method addresses common LLM pitfalls, ensuring higher reliability and precision for AI-driven business applications such as automated documentation, software quality assurance, and compliance auditing. The trend highlights a growing business opportunity for enterprises to leverage advanced prompt engineering frameworks to enhance AI output quality and trustworthiness.