Field Rules

Understanding field rules will help you create more intelligent, consistent, and user-friendly applications. You'll discover how to implement both validation rules that verify data quality and conditional rules that automate values based on changing information.

Field rules help you:

• Ensure data accuracy and consistency across your application
• Automate field values based on specific conditions
• Prevent invalid data from being submitted
• Implement business logic directly in your data structure

What are Field Rules?

Field rules are special instructions that control how data behaves in your application. They fall into two main categories:

Validation Rules verify that data meets specific criteria before it can be saved. They act as gatekeepers, ensuring information is accurate, properly formatted, and complete. When validation fails, users see helpful error messages explaining what needs to be fixed.

Conditional Rules automatically set field values based on defined conditions. They react to changes in your data and update related fields accordingly, creating dynamic relationships between different pieces of information.

Tip: While validation and conditional rules serve different purposes, they often work together to create robust applications—validation rules ensure data quality, while conditional rules automate processes based on that data.

Key Components

• Validation Rules: Learn how to verify data quality and prevent invalid entries
• Conditional Rules: Discover how to automate field values based on specific conditions
• Rule Management: Understand how to create, organize, and modify field rules
• Advanced Techniques: Explore complex validation patterns and conditional logic