Taming AI: Using AI for content conversion at scale

From Content Operations by Scriptorium - The Content Strategy Experts

May 18, 2026 · 25 min

About this episode

The episode discusses the challenges and strategies of using AI for large-scale content conversion.

AI promises to transform content conversion, but what does it actually look like when you’re processing thousands of documents a day? In this episode, Sarah O’Keefe (Scriptorium) and Rich Dominelli (DCL) dig into the real-world challenges of using AI for large-scale structured content conversion. Rich Dominelli: If you have millions of articles and you’re asking the AI, ‘What did we do for this project six months ago?” The AI has to find those articles, pull the relevant information out of those articles, summarize it, and hand it back to you. The best way of doing that is to give extra signals to the AI, structured relevant bits of information, front matter, back matter, publication date, keywords, abstract, that allows the AI to query the corpus and get the relevant chunks out of that corpus in a very quick manner. Then, it can summarize what those chunks are. So the AI almost becomes the user interface over that corpus. But to find that data in the first place, structured content is key. Structured content is key when you’re dealing with big indexes and the web, and it’s the same with AI. Related links: Defeating Nondeterminism in LLM…

People in this episode

Host: Sarah O’Keefe

Guest: Rich Dominelli

Topics covered

AI in content conversion
structured content
large-scale processing
real-world challenges
content strategy

Keywords

AI
content conversion
structured content
document processing
information retrieval

Mentioned in this episode

Organizations: Scriptorium, Data Conversion Laboratory, DCL