Where it's used, why, and how you always know which is which.
We consider AI to be one utility of many. In fashioning tools and especially in the age of computing, we have always had AI/automation/programming on hand, in some way, shape, or form — recommendation engines, auto-tagging, spellcheck, mastering assistance. What's changed recently is the scale and visibility of it, not whether it exists. We think that's worth saying plainly instead of pretending the line between "automated" and "not automated" is cleaner than it is.
Not hidden, not a future roadmap item — already running, in tools you can use right now:
This is the actual position, not "AI good" or "AI bad": you should always be able to tell which is which, without having to guess. Every dispatch on the site carries a source tag:
None of these is treated as more legitimate than the others by default — they're just different, and worth knowing apart. A good AI-assisted note and a good human note are both good notes. A bad one of either kind is still bad. Labeling doesn't rank them; it just tells you what you're looking at.
A lot of companies are putting out AI statements right now, and most of them land as either "we don't use it" (often not fully true) or "we use it responsibly" (often not specific about how). We'd rather just show the actual mechanism — the tags are right there on every dispatch, not explained once on this page and then never checked again.
If something's mislabeled, or you think a tag should say something different, tell us — we're happy to help.