Lots of simple one offs. Stuff like "Here's the URL for a forum thread that has 10 pages of messages. Go through all of them and tell me if information X is in there." Or "Here is the site to after school activities. Check it once a day and notify me if there is anything that begins in March."

Also, got it to give me the weather information I always want - I've not found a weather app that does it and would always have to go to a site and click, click, click.

I can add TODOs to my todo list that's sitting on my home PC (I don't have todos on the cloud or phone).

All of these can be vibe coded, but each one would take more effort than just telling OpenClaw to do it.

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.