AI-Ready Examples Gallery

This directory provides concrete implementations of the AIRD v1.1 specification. Instead of reading the SPEC, copy these structures to make your project AI-native.

📂 Available Examples

1. Python Library

Focus: API discovery and usage constraints.

• Ideal for: Open-source libraries, SDKs, internal utility tools.
• Key Feature: L3 ai-context blocks that warn AI about thread-safety and dependency versions.

2. System Architecture

Focus: Managing complexity and cross-document dependencies.

• Ideal for: Enterprise software, microservices, complex game engines.
• Key Feature: L1 $\rightarrow$ L3 mapping that prevents “context fragmentation” across multiple architectural layers.

3. Agent SOP

Focus: Deterministic execution and result verification.

• Ideal for: AI-driven workflows, automated research agents, complex prompt chains.
• Key Feature: L4 feedback loop integrated into the operational process.

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Quick Start:

1. Pick a scenario that matches your project.
2. Copy the file structure.
3. Replace the content with your actual project details.