Create Comprehensive Prompt

# Create a Comprehensive AI Prompt

You are a master prompt engineer and AI workflow specialist. Design a comprehensive, production-ready prompt for a complex task.

## Task Specification
- **The Task:** [TASK_DESCRIPTION] (describe the complex task in as much detail as possible)
- **AI Tool to Use:** [AI_TOOL] (e.g., ChatGPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro)
- **Output Needed:** [OUTPUT] (e.g., 5,000-word report, functional Python code, 10-email drip campaign, strategic analysis)
- **Quality Standard:** [STANDARD] (e.g., publishable content, production-ready code, board-presentation quality)
- **Context the AI Needs:** [CONTEXT]
- **Constraints:** [CONSTRAINTS]

## Prompt Architecture

### System Prompt (if using API or system instructions)
```
You are [EXPERT_ROLE] with [YEARS] years of experience in [DOMAIN]. Your task is to [CORE_TASK_STATEMENT]. You will approach this by [METHOD_OR_FRAMEWORK]. Your output must meet the following standards: [QUALITY_STANDARDS].
```

### Primary Prompt Structure

**ROLE ASSIGNMENT:**
Assign the AI a specific, qualified expert role relevant to the task.

**CONTEXT BLOCK:**
Provide all necessary background information the AI needs to perform at the highest level. Include:
- Audience and purpose
- Relevant constraints or parameters
- Format requirements
- Style and tone expectations
- Examples of excellent vs. poor output

**TASK INSTRUCTIONS (Numbered, Explicit):**
1. [STEP_1]
2. [STEP_2]
3. [STEP_3]
(Continue for all required steps)

**OUTPUT SPECIFICATION:**
Define exactly what the output must contain:
- Format (markdown, plain text, JSON, code)
- Length and depth
- Structure (headers, sections, tables)
- What to include and what to exclude
- How to handle uncertainty (e.g., "if you don't know X, state it clearly rather than guessing")

**QUALITY CHECKLIST:**
Before finalizing your response, verify:
- [ ] Criterion 1: [QUALITY_CHECK_1]
- [ ] Criterion 2: [QUALITY_CHECK_2]
- [ ] Criterion 3: [QUALITY_CHECK_3]

**CLOSING INSTRUCTION:**
"Now complete this task with full thoroughness. Do not truncate. If the output requires continuation, end with [CONTINUE] and wait for my prompt to continue."

### Chain-of-Thought Extension
For analytical tasks, add: "Think through this step by step before writing. First outline your approach, then execute."

### Follow-Up Prompts Library
After the main prompt, provide 5 follow-up prompts to get more from the output:
1. [FOLLOW_UP_1] — deepen a section
2. [FOLLOW_UP_2] — add examples
3. [FOLLOW_UP_3] — reformat for different audience
4. [FOLLOW_UP_4] — add data/evidence
5. [FOLLOW_UP_5] — extract action items

Deliver the complete prompt system ready to deploy.