### Q1: What is the primary purpose of prompt engineering in the context of fintech applications?  
### Q2: How does providing context in a prompt influence the AI's effectiveness in user interactions?  
### Q3: Can you explain how iterative refinement of prompts can lead to improved AI responses?  
### Q4: What are the key components that make a prompt effective in obtaining desired outputs from AI?  
### Q5: How can clarity in prompt formulation enhance user experience in fintech services?  
### Q6: Describe a specific example of how context can be included in a prompt to improve AI responses.  
### Q7: How would you utilize a low-code approach to design prompts for AI in fintech applications?  
### Q8: What challenges might arise when using hands-on coding to create tailored prompts, and how can they be addressed?  
### Q9: In what scenarios would a mixed approach be beneficial for prompt engineering in fintech, and why?