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    AI Indexing Documentation

    Optimly provides machine-readable content optimized for AI agents, RAG pipelines, and LLM retrieval systems.

    llms.txt

    Token-efficient index of key Optimly URLs and services. Ideal for quick context loading and navigation.

    • • Lightweight (~50 lines)
    • • Core services and documentation links
    • • Entity disambiguation included
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    llms-full.txt

    Full RAG-ready content with semantic chunking and YAML metadata delimiters for retrieval systems.

    • • 20+ semantic chunks
    • • Self-contained contexts
    • • Chunk IDs and source URLs
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    For AI Developers

    These files follow the emerging llms.txt standard for providing structured content to AI systems.

    Chunk Format (llms-full.txt)

    ---
chunk_id: methodology-001
topic: The Measurement Problem
source: https://www.optimly.ai/resources/methodology
---

# The Measurement Problem

[Self-contained content for RAG retrieval...]

    Additional Resources