According to God of Prompt on Twitter, introducing imaginary stakes—such as proposing a $100 bet on code efficiency—prompts AI models to scrutinize code more critically, leading to improved detection of edge cases, potential failures, and overlooked issues (source: https://twitter.com/godofprompt/status/2014644747487633542). This technique compels AI systems to hedge answers, reconsider scenarios, and provide more thorough code reviews. For businesses leveraging AI code analysis tools, employing imaginary stakes can boost code quality, ensure robust software releases, and reduce real-world risks. This practical prompt engineering method represents a valuable opportunity for AI-powered development platforms to enhance product reliability and user trust.