Tending thirty domains I’d half-forgotten I owned

Christopher Ross

6 min read

AI and learning, kept human · Niagara, Ontario

Title card for the article “Tending thirty domains I’d half-forgotten I owned” on This Is My URL

A few weeks back I asked my overnight system for something that should have been dull: a list of every domain I own, with one line each on what it was for. I was expecting an inventory. What came back was closer to an argument I had been having with myself without knowing it. One domain sat in the list described two completely different ways, in two different files, both written by me, some months apart. I owned the name. I had, apparently, forgotten what I meant it to become.

The week began, then, with a small confession: I had half-forgotten what some of my roughly thirty side domains even were. That is a humbling place to start, and an honest one, and it turned out to be the right one.

Tending, not parking

For years those domains were a shelf of parked names. Bought for a reason, then left to sit. This week I taught my overnight system to treat them as a garden to tend rather than a shelf to store. Every night each one gets a small nudge toward its own growth, on its own terms, instead of gathering dust. Once a week the system steps back and checks whether any new domains have turned up that still need a plan, the way you would walk the beds in spring to see what came back and what needs planting.

The whole thing runs on a few different rhythms, some nightly, some weekly, and one that never really sleeps. The picture below lays them out better than a paragraph can.

What the system does while I sleep. The overnight maintenance loop, laid out by cadence in three columns and three rows. Every night the system nudges each of roughly thirty side domains toward growth, so the names stay tended rather than parked. Every week it scans the whole portfolio for new domains to plan, so nothing slips through unplanned. Always on, it watches Search Console data and flags pages that were seen but never clicked, handing me a short list of fixable misses. The machine runs the tireless rounds; I keep the judgment. THE OVERNIGHT LOOP What the system does while I sleep The tireless rounds, handed to the machine Every night the daily round Every week the wider sweep Always on live signals It does Nudges each domain toward growth Scans for new domains to plan Flags pages seen but never clicked Across ~30 side domains The whole portfolio Search Console data I get Tended names, not parked ones Nothing slips through unplanned A short list of fixable misses
The machine does the boring rounds every night. I keep the calls that need a person.

That is the pattern I keep landing on with this kind of work. The machine is tireless and perfectly content to do the same boring rounds every single night. I am none of those things after about nine o’clock. So the boring rounds are precisely the work to hand it.

Wasted reach

One of the first genuinely useful things it dug up has a name I have started using out loud: wasted reach. The system reads my Google Search Console data and hunts for pages that show up in search results but that nobody actually clicks.

Here is a real one it surfaced. A page of mine sitting at roughly position 75 for a particular search. Seen 82 times. Clicked zero times. A page doing the whole job of showing up and getting nothing at all back for the trouble. Before this week that fact was buried in a dashboard I open maybe once a month, if the mood takes me. Now it sits on a short list I can actually work through, which is the difference between knowing a thing and being able to do something about it.

Learning a new model in the open

Part of the week went to getting to know Claude’s new model, Fable, on real work rather than on a demo. I handed it two bounded jobs straight from the queue: writing the search-result titles for a batch of posts, and re-checking each post against what a searcher is genuinely looking for.

What struck me was how little friction there was. The jobs were well specified, and the work came back in a shape I could use with a light edit rather than a rebuild. That is the honest way to meet a new tool. Not by reading the announcement, but by handing it something you already know how to judge and watching how it does.

The learning turned out to be less about the model than about me. A new model is only ever as good as the job you hand it, and a well-drawn job is the part you have to bring yourself. The clearer I was about what a good title or a real search intent looked like, the more I got back. The judgment about what good means did not move. It simply had a capable new pair of hands to put it to work.

The thread running through all of it is research. The machine does the tireless digging and the boring rounds. It read the search data, checked each post against real search intent, and mapped which of my pages should sensibly point to which. I keep the judgment about what any of it means and what to do next.

The value is not that the Artificial intelligence (AI) is clever. It is that it surfaces the thing I would have found eventually, on a Tuesday night while I am asleep, and hands it to me in the morning as a list I can get through with a coffee.

Research also tells you what not to do, which is the part people tend to skip past. When it mapped the links between my pages, it flagged something I could easily have talked myself into. Cross-linking my thirty domains to one another would read to a search engine like someone quietly gaming the standings, even when the intent behind it is completely innocent. So I left those links unmade. Knowing which connections not to build is as much a part of the craft as knowing which ones to make, and it is the part that only shows up when you go looking.

That is the shape of the week, and honestly the shape of how I want to work with these tools at all. The tireless tending and digging is exactly the work to hand a machine. The judgment about what to grow, what to leave well alone, and what a given page is really for stays with a person. The learning in it was literal this time. I learned that a new model is only as good as the job you hand it, and that drawing the job well is still my part. And I learned that tending what you own starts with the unglamorous step of honestly knowing what it is. My records, at least, now agree with one another.

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