# Panel Discussion on LLM Production Use Cases ## Overview This case study summarizes a panel discussion featuring practitioners from various companies discussing their real-world experiences implementing LLMs in production. The panel included representatives from Resides (property management), independent consultants, and AI technology companies, providing diverse perspectives on practical LLM applications. ## Key Use Cases ### Property Management Customer Service (Resides) - Challenge: Managing unstructured property documents and answering resident questions efficiently - Previous Process: - LLM Solution Implementation: - Results: ### Sales and Executive Coaching Applications - Structured Output Use Case: - Sales Call Analysis: ## Implementation Lessons and Best Practices ### Avoiding Over-Engineering - Common Pitfalls: - Better Approaches: ### Evaluation and Metrics - Key Principles: ### Project Prioritization - Frameworks Used: ## Production Considerations ### Data Management - Vector database implementation - Handling unstructured documentation - Knowledge base creation and maintenance - Continuous learning from user interactions ### Workflow Integration - Human-in-the-loop processes - Training and documentation - Quality assurance measures - Performance monitoring ### Success Metrics - Business KPIs: ## Best Practices for Implementation ### Development Approach - Start with MVP (Minimum Viable Product) - Focus on quick iterations - Prioritize user value over technical sophistication - Maintain balance between automation and human touch ### Team Organization - Cross-functional collaboration - Clear communication of value proposition - Regular evaluation of outcomes - Continuous learning and adaptation ### Future Considerations - Scaling considerations - Continuous improvement processes - Integration with existing systems - Maintenance and updating strategies ## Conclusion The panel discussion revealed that successful LLM implementations in production require: - Focus on business value over technical capabilities - Quick iteration and continuous evaluation - Understanding of specific industry contexts - Balance between automation and human elements - Clear metrics for success measurement The cases presented demonstrate that LLMs can provide significant business value when properly implemented with a focus on specific use cases and clear success metrics. The key to success lies in maintaining a product-first mindset while leveraging technical capabilities to solve real business problems.