According to God of Prompt (@godofprompt), prompt engineering techniques in artificial intelligence do not make models inherently smarter, but rather reduce ambiguity by constraining the model's possible outputs, making structurally incorrect answers less likely (source: Twitter, Dec 10, 2025). This trend emphasizes the importance of prompt design in AI applications, especially in business environments where accuracy is critical. By minimizing ambiguity, organizations can deploy AI models more reliably for use cases such as automated customer support, enterprise knowledge management, and compliance monitoring. This approach enables companies to leverage large language models for high-stakes tasks, reducing the risk of costly errors and enhancing overall business value.