These are actually really great examples, because I've done several similar things with a more code-based deterministic approach, still utilizing an LLM.

I also have a number of sites that I query regularly with LLMs, but I use a combination of RSS and crawlers to pull the info into a RAG and query that, and have found the built-in agent loops in my LLM to be sufficient for one-offs.

I also hate most weather apps, so I have a weather section on my Home Assistant dashboard that pulls exactly what I want from the sources I want that my LLM helped me configure.

I also have my main todo list hosted on a computer at home, but since all of my machines including my phone are on the same virtual wireguard network, I use my editor of choice to read and write todos on any device I use as if it were a local file, and again, it's something my local LLM has access to for context.

I don't think either approach is wrong, but I much prefer being able to have something to debug if it doesn't behave the way I expect it to. And maybe part of the reason I'm skeptical of the hype is that a lot of the parts of this setup aren't novel to me: I had crawlers and RSS readers and a weather dashboard and private access to a well-organized filesystem across devices before LLMs were a thing - the only difference now is that I'm asking a machine to help me configure it instead of relying on a mix of documentation, example code, and obscure Reddit posts.