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AI FormValidator

AI FormValidator (ODC)

Stable version 0.1.0 (Compatible with ODC)
Uploaded on 18 Feb by EONE TECHNOLOGIES PRIVATE LIMITED
AI FormValidator

AI FormValidator (ODC)

Documentation
0.1.0

AI FormValidator is an AI-powered, rule-free form validation component built for OutSystems Developer Cloud (ODC) applications.

Unlike traditional validators that rely on fixed rules, regex, or hardcoded conditions, AI FormValidator uses artificial intelligence to understand form context, relationships, and intent, enabling smarter, more human-like validation.

It detects missing fields, suspicious inputs, and logical inconsistencies without requiring any client-side validation logic, making it ideal for modern enterprise applications.


Key Features

Pure AI-Driven Validation

  • No regex

  • No if/else rules

  • No client-side validation logic
    All validation decisions are made by AI based on field context and values.


Intelligent Issue Detection

The component automatically detects:

  • Missing required fields

  • Suspicious or unrealistic values

  • Invalid formats (email, numbers, dates, etc.)

  • Logical inconsistencies between fields

    • Example: Age vs Occupation

    • Start Date later than End Date


Smart Correction Suggestions

  • Suggests corrected values where appropriate

  • Example:

    • jon@gmial.com → jon@gmail.com

    • Unrealistic age → recommended minimum value

Each suggestion includes a confidence score.


Severity Classification

Each validation result is classified as:

  • Error – blocks form submission

  • Warning – requires user attention

  • Suggestion – optional improvement

This allows developers to control submission behavior easily.


Enterprise-Ready & Secure

  • Server-side AI execution

  • No data stored or logged

  • No training on user data

  • AI usage is optional and configurable

  • Graceful fallback when AI is unavailable


How It Works

  1. Form fields are passed as structured data

  2. AI analyzes the full form context

  3. Validation issues and suggestions are returned as structured JSON

  4. Results are rendered consistently across Web & Mobile apps


Typical Use Cases

  • Registration & onboarding forms

  • Enterprise data entry screens

  • HR, Finance, and Compliance apps

  • Admin portals with complex forms

  • Dynamic forms with changing fields


Benefits

  • Reduces development time

  • Eliminates repetitive validation code

  • Adapts automatically to new fields

  • Improves data quality

  • Enhances user experience with intelligent feedback