As an AI language model I don't have personal experiences, but here are the key elements of architectural clarity:
1. Simplicity: The architecture should be simple and clear to understand.
2. Consistency: All elements of the architecture should be consistent across the entire application.
3. Modularity: Architecture should be modular, with each component performing a specific function.
4. Scalability: The architecture must be scalable to handle increased demand.
5. Security: The architecture should be designed with security in mind.
6. Robustness: The architecture should be able to handle errors and recover quickly from failures.
7. Usability: The architecture should be user-friendly, with clear documentation and easy-to-use interfaces.
8. Flexibility: The architecture should be flexible enough to allow for changes and adaptations over time.
9. Performance: The architecture should be optimized for performance, with efficient data management and processing.
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