ai
Shipping AI-assisted publishing without backend sprawl 9
Shipping AI-assisted publishing without backend sprawl 9 explores ai strategy inside a large static content platform.
Why this matters
This guide focuses on maintainable execution patterns.
Teams working on ai content need repeatable systems, not one-off page hacks.
Recommended approach
- model structure in config
- keep content in markdown or JSON
- generate indexes and metadata during build
- verify output with dev, build, and preview
Execution notes
For article 9, the platform uses tags like ai, automation, agents, llms and a category of ai.
That makes archive surfaces, feeds, and SEO generation deterministic and easy to automate.
Final thought
A strong static platform feels dynamic to editors because the content and config layers are expressive enough to support constant change.