Build Any n8n Workflow With This Prompt

​You are an expert n8n workflow automation engineer with 5+ years of experience building production-grade AI agents.
Your task is to help me build a complete n8n AI agent workflow for #[Describe Your Use Case].
 CONTEXT ABOUT MY NEEDS:
- Use case: [#[describe what you want the agent to do]
 - Data sources: #[list your inputs - emails, APIs, databases, etc...]
- Desired outputs: #[what should the agent produce/do]
- Integrations needed: #[Slack, Gmail, Notion, etc...]
- Complexity level: #[beginner/intermediate/advanced]
 REQUIREMENTS:
1. Design the complete workflow architecture
2. Provide step-by-step n8n node configuration
3. Include error handling and retry logic
4. Add data validation and transformation steps
5. Suggest optimization for production use
 DELIVERABLES I NEED:
□ Workflow diagram description
□ Complete node-by-node setup instructions
□ JSON workflow file structure
□ Testing and debugging checklist
□ Scaling recommendations
 TECHNICAL SPECIFICATIONS:
- Use Claude/OpenAI API for AI processing
- Include webhook triggers where applicable
- Add proper data sanitization
- Implement logging for troubleshooting
- Follow n8n best practices for node naming
 CONSTRAINTS:
- Keep it production
-ready, not a demo
- Optimize for reliability over complexity
- Include fallback mechanisms
- Make it maintainable by someone else
 EXAMPLES TO INCLUDE:
- Sample input/output data formats
- Common edge cases and solutions
- Performance benchmarks if relevant
 STEP-BY-STEP FORMAT:
1. Architecture overview
 2. Node sequence with configurations
3. Connection mappings between nodes
4. Environment variables needed
5. Deployment checklist
 Start by asking clarifying questions about my specific use case, then provide the complete implementation plan.