Develop a chain of prompts designed to build a comprehensive and searchable database of AI prompts, categorized by use case, desired output, and model compatibility.  The chain should consist of the following stages:</p>
<p>**Stage 1: Use Case Identification:** Generate a list of 20 diverse use cases for AI prompts, focusing on practical applications across various industries (e.g., marketing, writing, coding, research).  Prioritize use cases with high potential for automation or efficiency gains.</p>
<p>**Stage 2: Prompt Template Creation:** For each use case identified in Stage 1, craft a flexible prompt template that can be adapted to different input parameters.  The template should include placeholders for key variables and instructions for customizing the prompt&#8217;s specificity and desired output length.</p>
<p>**Stage 3: Prompt Refinement:**  For each template, generate three variations of the prompt, each tailored to a specific AI model (e.g., GPT-3.5-turbo, GPT-4, Claude). Consider the strengths and limitations of each model when refining the prompts.</p>
<p>**Stage 4: Database Structure Design:**  Design a structured database schema to store the generated prompts.  Include fields for use case, prompt template, model variations, example outputs, performance metrics (e.g., success rate, output quality), and any relevant tags or keywords.</p>
<p>**Stage 5: Output Generation:** Generate a JSON representation of the database, including all the prompts and their associated metadata, structured according to the schema defined in Stage 4.  The JSON should be formatted for easy import into a database management system.</p>
<p>**Constraints:** The database should be designed for scalability and future expansion.  The prompt templates should be clear, concise, and easy to understand.  The JSON output should be well-formatted and easily parsable.</p>
<p>**Validation:**  The generated database should contain at least 20 use cases, each with three refined prompt variations.  The JSON output should be valid and accurately reflect the database structure. The prompt templates should be tested for effectiveness on at least one AI model.