Core Viewpoint - The article emphasizes the importance of effective communication with AI, suggesting that clear expression of questions and context significantly enhances the quality of AI responses. It introduces six techniques to optimize interactions with AI for better outcomes [1][67]. Group 1: Techniques for Engaging with AI - Technique 1: Assign a Role to AI Before Answering - Setting a specific role for AI can lead to more effective responses, especially when the role is a well-known expert in the relevant field [2][3][4]. - Technique 2: Encourage AI to Ask Follow-Up Questions - This method, inspired by the Socratic method, involves prompting AI to ask clarifying questions before providing an answer, ensuring a deeper understanding of the user's needs [17][20][22]. - Technique 3: Engage in Debate with AI - Encouraging AI to challenge the user's viewpoints can lead to more thorough exploration of ideas and enhance learning [24][28][33]. Group 2: Planning and Risk Assessment - Technique 4: Preemptively Simulate Failures - Before finalizing plans, users can ask AI to simulate potential failures, identifying critical risks and decision-making errors that could arise [34][38][42]. - Technique 5: Reverse Prompting - When users are unsure how to phrase their requests, they can provide examples of desired outcomes and ask AI to generate prompts that would lead to similar results [44][51][53]. - Technique 6: Dual-Level Explanation - This technique involves asking AI to explain concepts at two levels: a beginner-friendly version and a more advanced, professional version, facilitating comprehensive understanding [58][60][63].