Technical AI writing often needs more than paragraphs. A useful article might include a scoring rubric, a prompt comparison, a retrieval trace, a cost calculator, or a product callout. MDX is helpful because it lets the site keep Markdown as the writing format while adding components where they actually improve the page.

Writing stays portable

Most of the article can remain plain Markdown. That keeps editing simple and makes the content easy to move, review, and republish.

Components add structure

When a recurring pattern appears, like an evaluation checklist or a domain inquiry callout, MDX can render a real component instead of repeating hand-written HTML.

For an AI blog, useful MDX components might include:

• Prompt comparison tables
• Model evaluation scorecards
• Retrieval source blocks
• Product architecture diagrams
• Domain naming examples

The commercial layer can stay tasteful

Because components are reusable, the site can include a light domain inquiry section at the end of relevant articles without turning every post into a sales page.

That balance matters. Readers should come for useful technical material first. The domain portfolio should feel like a natural extension of the site’s focus on AI products and positioning.