Generate a structured database of AI prompts categorized by task and outcome.  The database should include at least 50 prompts, each with the following fields: </p>
<p>* **Prompt Title:** A concise and descriptive title.<br />
* **Prompt Description:** A detailed explanation of the prompt&#8217;s purpose and intended use.<br />
* **Prompt Text:** The actual AI prompt.<br />
* **AI Model:** The recommended AI model for optimal results (e.g., GPT-3.5-turbo, GPT-4).<br />
* **Example Input:** Sample input data to illustrate prompt usage.<br />
* **Example Output:** Expected output format and content.<br />
* **Category:** A relevant category for organization (e.g., &#8216;Content Creation&#8217;, &#8216;Business Strategy&#8217;, &#8216;Marketing&#8217;).<br />
* **Tags:** Keywords for easy searchability.<br />
* **Success Metrics:** How to measure the effectiveness of the prompt.<br />
* **Limitations:** Any known limitations or potential biases of the prompt.</p>
<p>The prompts should cover a diverse range of tasks, including but not limited to: content generation (blog posts, social media updates, marketing copy), data analysis, code generation, problem-solving, and creative writing.  Prioritize prompts that demonstrate high utility and efficiency in achieving specific outcomes.  The database should be easily importable into a spreadsheet or database system.  The output should be formatted as a CSV file with each row representing a single prompt and its associated fields.