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deepmind.google·6d ago
AI Engineering
Lobsters·Jun 10·5 min read
Rebuilding my blog with machines, for machines ·
TL;DR
The blog was updated to enhance machine readability and AI collaboration. A structured data graph using JSON-LD and microformats was implemented, allowing better content understanding.
✦ Why It Matters
Engineers can leverage structured data to improve content discoverability and machine interaction.
Key Takeaways
- Implement structured data to enhance machine readability.
- Use JSON-LD for encoding linked data in web pages.
- Integrate CI validation scripts for content consistency.
- Collaborate with AI while maintaining strict voice guidelines.
Full Summary
To improve the blog's machine readability, a structured data graph was added to each page using JSON-LD, a method for encoding linked data. Each blog post now includes Schema.org nodes such as WebSite, Person, WebPage, and BlogPosting, which detail the content and its context.
The implementation involves a 120-line Hugo partial that dynamically generates the graph based on the page type. Additionally, a validation script runs in Continuous Integration (CI) to ensure that only valid JSON is returned, enforcing strict formatting rules.
This approach not only enhances SEO but also facilitates better interaction with AI tools. The collaboration with AI involves drafting content that adheres to specific voice rules, ensuring consistency and quality.