The Problem: Inconsistent AI Data Structures

Even the most advanced AI models struggle with consistently following output formats. This unpredictability creates several critical issues:

• AI responses may omit requested fields or return data in unexpected formats
• Workflows break when they receive data that doesn't match expected structures
• Developers spend excessive time writing complex parsing logic for each use case
• Business processes dependent on AI data become unreliable and fragile

These challenges significantly limit the practical application of AI in business automations, forcing companies to either implement complex error handling or abandon certain AI integration scenarios altogether.