Content Strategy Insights

There are genuinely interesting ideas here - process as the missing DITA archetype for agentic AI, the Aristotle-to-Horn lineage of information typing - but they surface slowly amid substantial filler, soft affirmations, and general discourse. The ideas-per-minute rate is low for a 33-minute episode.

“when we look to agentic AI, agentic AI is really looking for process information far more than it's looking for task based information because it needs to understand what are the outcomes and what are the types of things that need to happen in order to reach that particular outcome”

“AI sees these patterns in our content that we don't see up close. And that's what makes AI able to better retrieve information by its general shape based on the human corpus of content that it is consumed”

The connection drawn from Aristotle's topoi through 19th-century modes of discourse to DITA information types is a genuinely fresh framing, and positioning 'process' as the critical missing archetype for agentic AI is a non-obvious claim. However, the bulk of the DITA/structured-authoring argument is standard territory for the technical-writing community.

“Back to Aristotle, where he's talking about what he calls topoi. Um, and these are, uh, and literally it means little rooms in your head. So they're like patterns that speakers can access when they have to give an impromptu speech”

“Process is the big missing archetype for get in technical communication right now”

Rob Hanna is a genuine practitioner with OASIS committee experience and a running technical-content consultancy; Lance Cummings is an active academic researcher with live AI classroom experiments. Both have real domain depth, but neither has operated at significant industry scale and Lance is primarily an educator rather than an enterprise operator.

“In my work with the uh, oasis, uh, Subcommittee, Business Documents Subcommittee back in the aughts, um, we uh, were looking at how we extend uh, beyond um, product support and into the rest of the business”

“I've been teaching and researching how we write and collaborate in diverse linguistic and technological environments and I've been writing about AI um since before chatgpt”

There are some useful specifics - Robert Horn's Stanford work in the 60s, the seven original information types, named tools like LLM Studio and Fire Crawl, and a described (if informal) disaster-chatbot classroom experiment - but hard metrics are absent and the key experimental evidence is explicitly flagged as small-scale and non-scientific.

“some chatbots were providing wrong phone numbers, um, that didn't have that...but the ones with the structured knowledge way outperformed”

“our very earliest experimentation is showing very, very positive uh, results for improved, uh, retrievability of that content”

The host makes some effort to bridge between guests and connect themes to his own background, but questions are consistently soft and affirmative ('Nice,' 'Yeah'), there is no substantive pushback on any claim, and several potentially rich threads - like the RAG experiment results or the epistemological disconnect between human and machine cognition - are passed over without follow-up.

“Nice. Oh, I was going to say, Lance, I was going to ask you, uh, just say what you were going to say because I had a question as well”

“As you said that it's like, it's a higher level than just like um, WYSIWYG thinking”