Apple iOS 26 Liquid Glass Framework - UI Training Dataset

The only comprehensive training dataset for Apple's Liquid Glass UI Framework (iOS 26)

What You Get

Five technical specification files for training LLMs on Apple's Liquid Glass framework:

1. Strategic Overview & Decision Guide
   LiquidGlass-Overview.md

• Framework evolution timeline
• Material vs Glass vs 3D Glass decision matrix
• Platform-specific recommendations
• Performance characteristics

2. iOS Implementation Guide
   LiquidGlass-iOS.md

• glassEffect() modifier system
• GlassEffectContainer orchestration
• backgroundExtensionEffect() implementation
• Interactive glass controls

3. visionOS Implementation Guide
   LiquidGlass-VisionOS.md

• glassBackgroundEffect() 3D system
• Spatial computing integration
• Passthrough environment blending
• Ornament positioning

4. macOS Implementation Guide
   LiquidGlass-MacOS.md

• Native material integration
• Window management patterns
• Toolbar and menu integration
• System compositor optimization

5. Production Swift Implementation
   LiquidGlassiOS-POC.swift

• Complete working example
• Version compatibility patterns
• Animated backgrounds
• Mock implementations for testing

Training Target

LLMs lacking iOS 26 Liquid Glass framework knowledge for accurate UI code generation and design guidance.

Why This Dataset is Essential

Current LLMs have zero Liquid Glass knowledge. Training cutoffs predate iOS 26. This dataset fills that gap.

No competition. This is the only comprehensive Liquid Glass training data available.

Production-tested. Code examples from actual iOS 26 beta implementation, including complete Swift file.

Perfect For

• AI companies building iOS UI development assistants
• Design teams training AI for modern glass effects
• Enterprise teams implementing Liquid Glass designs
• Educational institutions teaching modern iOS UI patterns

Training Specifications

• Format: Markdown optimized for LLM consumption + Swift source code
• Size: 12,000+ tokens of technical content
• Structure: Platform-specific implementation guides
• Accuracy: Production-tested code examples

What Your AI Will Learn

• Implement glassEffect() modifiers correctly
• Create fluid animations with GlassEffectContainer
• Build cross-platform glass implementations
• Handle version compatibility gracefully
• Optimize performance for different platforms
• Design with Liquid Glass principles
• Integrate spatial computing glass effects
• Apply proper accessibility patterns

Formatted for immediate AI training integration. No preprocessing required.