AI Data Engineering

The Art of Writing for AI

Data engineering is the process of taking large documents and breaking them down into "chunks" of content by topic so that your AI search engine can recognize, assimilate, and return this information in a usable way. Imagine having one long technical brief or white paper and transforming it into small pieces focused on content or action. 

• Metadata is instrumental in this practice to ensure AI can determine what belongs to which subject, product, etc.

• Information architecture informs the system of what content belongs to what parents or children.

• Layout is simple and straightforward following UX web writing principals.

This type of content structuring is available to be taught in seminars, with workshops taking your specific content and breaking it down by UX standards.