Summary
This chapter covered a lot. In some respects, it could have been an entire book itself, but I hope it provided you with enough topics for further research.
The chapter began with some history and context, dug into tools and services you can pay for, and explained how you might build everything yourself. Throughout the chapter, I also tried to represent the caveats and problems of this growing space. I am not an AI skeptic. I am an AI pragmatist. I think it’s a fascinating space, but it’s currently so full of hype and nonsense, overwhelming terminology and complexity, that it’s important to understand what you’re getting into.
That aside, if the recent wave of AI tools is here to stay, they offer documentarians completely new ways to work and provide information to our users. It’s easy to fear change, but if your true and prime reason for documenting and reading this book is to help people understand how to use something, and change is...
