Develop a 500-word article outlining a systematic approach to designing highly effective AI prompts.  The article should be structured as a step-by-step guide, using a chain prompt methodology. Each step should clearly define its purpose, provide actionable advice, and include at least one illustrative example. The steps should cover:</p>
<p>**Step 1: Defining the Desired Output:** Clearly articulate the specific information or task you want the AI to accomplish.  Include examples of well-defined and poorly defined outputs.</p>
<p>**Step 2: Identifying Keywords and Context:** Detail the process of selecting relevant keywords and providing sufficient context for the AI to understand the task&#8217;s nuances.  Include examples of effective keyword usage and contextual information.</p>
<p>**Step 3: Structuring the Prompt:** Discuss different prompt structures (e.g., few-shot learning, chain-of-thought prompting) and their suitability for various tasks. Provide examples of each structure and explain when to use them.</p>
<p>**Step 4: Iterative Refinement:** Emphasize the iterative nature of prompt engineering. Explain techniques for testing, analyzing, and improving prompts based on the AI&#8217;s responses. Include examples of iterative refinement processes.</p>
<p>**Step 5: Evaluating Prompt Effectiveness:** Describe metrics for evaluating prompt effectiveness, such as accuracy, relevance, and efficiency.  Provide examples of how to measure these metrics.</p>
<p>**Step 6: Advanced Techniques (Optional):** Briefly touch upon advanced techniques like prompt chaining, few-shot learning, and external knowledge integration, providing concise examples.</p>
<p>The article should conclude with a summary of best practices and resources for further learning.  The target audience is intermediate-level AI users familiar with basic prompt engineering concepts.