YC访谈：顶级公司如何写AI提示词？

Core Insights - The article emphasizes the value of a six-page "manual" for AI agents, which significantly enhances their performance in customer service roles [3][5][6] - It discusses the importance of well-structured prompts to guide AI in understanding its role and responsibilities, akin to providing a detailed job description to a new employee [11][15] Group 1 - The article highlights that AI responses in customer service are often generated by AI robots rather than humans, showcasing the advanced capabilities of these systems [4][5] - It explains that the effectiveness of AI is not solely due to advanced technology but rather the quality of the "prompting" or instructions provided to the AI [5][6] - The concept of "prompting" is likened to a service manual in a five-star hotel, which guides staff on how to interact with customers [8][9] Group 2 - The article outlines a three-tiered prompting architecture for AI, which includes system prompts, developer prompts, and user prompts, to streamline AI operations [48][49][52] - It emphasizes the need for clear identity recognition for AI, ensuring that it understands its role before executing tasks [11][12] - The article suggests breaking down complex tasks into simpler steps for AI, similar to teaching a child how to solve a math problem [16][17] Group 3 - It discusses the importance of providing specific examples to help AI understand concepts better, as abstract explanations may not be effective [28][30] - The article introduces the idea of "meta prompting," where AI can assist in refining its own prompts for better clarity and effectiveness [36][39] - It also mentions the necessity of establishing a "help button" for AI, allowing it to admit when it lacks sufficient information to provide an accurate answer [43][47] Group 4 - The article presents practical techniques for improving AI interactions, such as utilizing AI's thought process for debugging and maintaining a case library for tracking AI performance [71][73] - It provides a universal template for prompt improvement, encouraging users to clearly define their goals, target audience, and application scenarios [80][81] - The article concludes with a pathway for users to progress from novice to expert in AI prompting, emphasizing the importance of iterative improvement and effective communication [92][106]