Structuring
Learn advanced techniques for working with Atoms and Triples in real-world applications. This section covers practical approaches to structuring data, capturing signal, and calculating rewards within the Intuition ecosystem.
Explore Structuring Techniques
Atoms
Advanced techniques for creating and managing Atoms, including best practices for identifier design and data organization.
Learn about Atom Structuring →
Triples
Discover how to effectively structure relationships using Triples, including complex nested structures and semantic modeling.
Learn about Triple Structuring →
Capturing Signal
Learn how to effectively capture and structure signal data, including user interactions, preferences, and behavioral patterns.
Learn about Signal Capture →
Calculating Rewards
Understand the mathematical and economic principles behind reward calculation in the Intuition ecosystem.
Learn about Reward Calculation →
Structuring Principles
Key Principles
Modularity
Design structures that can be easily combined and reused across different contexts.
Scalability
Ensure your data structures can grow and evolve without breaking existing relationships.
Interoperability
Create structures that work seamlessly with other systems and data sources.
Learning Path
Recommended Learning Order
- Atoms - Master the building blocks of data structure
- Triples - Learn to create meaningful relationships
- Capturing Signal - Understand how to gather user input
- Calculating Rewards - Explore the economic mechanisms
Prerequisites
Before diving into structuring techniques, make sure you have a solid understanding of the Fundamentals section, particularly:
- Basic concepts of Atoms, Triples, and Signal
- Understanding of the economic model (Fees & Rewards)
- Familiarity with state interpretation approaches
Next Steps
After mastering structuring techniques, explore the Developer Tools section to learn how to implement these concepts in your applications.