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Validated Forms with Smart Rules

Swifty Team Feb 9, 2026 3 min read

The cheapest time to catch a data problem is when it's being entered. Once bad data is saved, it needs to be found, flagged, and corrected — a process that's often more expensive than the original data entry, and sometimes impossible to do accurately.

Validated forms with smart rules catch problems at the source.

The Validation Toolkit

Every field in a form can be configured with validation rules:

Required fields — the form won't submit without a value. The field is visually marked as required, so users know before they try to save.

Format validation — email addresses match the expected pattern, phone numbers have the right structure, postal codes conform to country-specific formats. The platform provides common format validators; custom patterns can be defined for unusual cases.

Length constraints — minimum and maximum character counts for text fields. Prevents both empty-but-valid and excessively long values.

Numeric ranges — quantities can't be negative, percentages can't exceed 100, prices can't be zero for certain product types. Range constraints keep numeric fields within sensible bounds.

Date logic — end dates can be required to be after start dates. Deadlines can be required to be in the future. Date relationships are validated as a unit, not as isolated fields.

Conditional Rules

Smart validation goes beyond field-level rules. Conditions can be defined that make rules depend on other field values.

A "payment terms" field might be required when the "payment method" field is set to "invoice" but optional when it's set to "immediate." A "shipping address" structure can be required when the order is marked for delivery but optional for pickup.

Conditional rules eliminate the frustration of being required to fill in fields that don't apply to the current situation — while still enforcing completeness when those fields genuinely matter.

Real-Time Feedback

Validation feedback appears in real time as fields are completed, not only when the form is submitted. Fields that fail format validation show an error as soon as the user moves away from them. Required fields that are left empty are highlighted before the user tries to save.

This gives users the opportunity to fix problems while they're still thinking about that part of the form, rather than reading a list of errors after trying to submit.

Server-Side Guarantee

Client-side validation improves the user experience, but it's not a security guarantee. All validation rules run server-side as well, so they apply regardless of how data arrives — through the form, through an import, through an API integration.

Data that passes validation is data you can trust. Validation rules are the contract between your data model and the real world.

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