The metaphors we use to understand our own interactions with AI change as quickly as we come up with them: from AI as digital intern to co-collaborator to document creator.

Image with the words read, learn, listen, write, share, repeat

In practical terms, I want to cut through the noise to better understand the intersections of technical communication and AI (TCxAI) as they exist today and gain a clearer idea of what the field of technical communication can expect in the years ahead.

I'm Sean Healy. I've worked in the software industry for over 15 years, mostly within documentation teams, where I wrangled DITA as a technical writer, content strategist, and software developer/architect.

I wasn't finding enough actionable information on the web but for notable exceptions listed in the Resources page. Admittedly, I have a bias for recent web resources over books as I suspect the latter grow stale within a year or so of their initial publish dates. I realize AI is a fast-moving target and difficult to pin down with any specificity. Even so, much of the information I find on the subject is conjecture, vague, or some form of company-sponsored clickbait.

These posts chronicle my exploration into the Wild West of AI. They are more travel logs than tutorials, but if you can take something from them, you are welcome to it. I'll push prototypes and other artifacts to GitHub, so you'll have jumping-off points for your own AI travels.

Feel free to contact me if you'd like more details about any of these posts or if you have come across good TCxAI resources you'd like to share.

Let's saddle up!