A recent Chinese technical article outlines a systematic engineering approach to designing role-playing prompts for large language models. The author breaks down the process into two core phases: character construction and consistency maintenance. Character construction involves defining persona attributes, backstory, and behavioral rules in a structured prompt template. Consistency maintenance addresses challenges like memory retention, personality drift, and context handling across long conversations. The article provides concrete techniques such as using dynamic memory slots, periodic personality reinforcement, and context window management. This engineering mindset is increasingly important as developers build more sophisticated AI agents for customer service, gaming, and virtual companionship. The approach reflects a broader trend in China's AI community to treat prompt engineering as a rigorous discipline rather than an art. For global developers, these techniques offer practical insights for improving the reliability and user experience of conversational AI systems.
A systematic guide to designing role-playing prompts for LLMs, focusing on character construction and consistency.