This article reveals the reverse engineering techniques for extracting system prompts from the AI application ‘Baimeng Writing’, demonstrating how to bypass backend truncation mechanisms to obtain system prompts. The author provides a detailed analysis of Baimeng Writing’s prompt structure, including core components such as basic system prompts, safety requirements, and output specifications. The article notes that while the prompts were successfully extracted, their quality was found to be inferior to self-developed Agents, and announces the upcoming open-source release of a Go-based Agent framework. This research provides valuable insights for AI prompt engineering, revealing current practices and challenges in prompt protection within AI applications, offering practical value for AI developers and researchers.
