Renaming the Blog: Tsurezure Agent OPS

I renamed the blog.

It used to be called “Field Ops Notes” — a straightforward, literal name. I started it to jot down things I ran into during daily operations: overnight batch jobs, CSV imports, notification bots, admin dashboards, drift in runbooks. The name was clear enough for that purpose.

But lately, I have wanted to write about slightly different things. It is still about operations, but topics around ai, llm, and agents have been creeping in. Summarizing support tickets, auditing decision criteria, deciding how to log events, and defining responsibility boundaries after automation — these are things I have always cared about, and now I see them connecting directly to ai agent operations.

So I decided to change the name to “Tsurezure Agent OPS.”

It is not meant to be deeply meaningful. I want it to stay a place for scattered operational notes that gradually drift toward agentops. I will keep the same tone — not polished experiments, but things I tried, got stuck on, found odd, or decisions I want to revisit later.

The word agentops is new, but the root concerns feel old to me.

Who monitors the automated process?
How far back can we roll when it fails?
Can we explain the reasoning afterward?
Are the logs left in a shape that supports improvement?

These were already problems with pre-ai batch jobs and bots. What changed is that llm and agents make the reasoning harder to see, which raises the importance of observability and evaluation.

I feel the shift in the field, which sounds a little grand, but when I talk about operations and automation now, I cannot ignore ai anymore. I do not want this blog to stop at “it looks useful, so I will try it.” I want to think about how to run and maintain it once it is in production.

For now, it will stay focused on short notes. The name sounds bigger, but the content will not suddenly inflate. If anything, I want to keep exploring agentops from small operational frictions.