According to @godofprompt, the Metacognitive Scaffolding technique in AI prompt engineering involves asking models to explain their reasoning process before generating output, which allows logical errors to be identified and corrected during the planning stage (source: twitter.com/godofprompt/status/1998673082391867665). This method enhances the quality of AI-generated responses, reduces hallucinations, and increases reliability for business applications such as code generation, data processing, and customer support. Enterprises adopting this approach can streamline workflow automation and minimize costly errors, providing a competitive edge in deploying large language models and generative AI tools.