Things I've built in the last month or so:
* A personal music player for Apple Music with an embedded agent loop, so I can say things like "I'm going to work in the wood shop, play woodworking-appropriate music and keep the playlist full and non-repeating indefinitely".
* A calorie/protein tracker that takes 1-liner summaries of meals, resolves them to macros with GPT5 calls, and tracks them in SQLite.
* A macOS menubar combined Apple TV and Roku TV remote control.
* A calculator front-end to SageMath that renders Latex math notation and has point/click shortcut affordances for linear algebra and MVC.
* A "self driving wiki" macOS desktop llmwiki that imports and digests PDFs.
* A menubar tracker for the little temperature sensors I have scattered all throughout the house so I can click my menubar and instantly see the temps in the different rooms of the house.
* A layout tool for designing picture frames to get cut lists and rabbet depths and stuff.
That's just the desktop stuff. These applications are generally better than what I'd get from the App Store. The calorie tracker is one of the better-designed apps on my dock.
I feel like I'm not doing this enough yet, it hasn't fully sunk in, and I'm going to be building a lot more stuff when it does sink in. I haven't yet gotten to the point of writing my own note-taking application (still Bear.app for that), but how long can that last?
This sounds like such a security risk. It just takes one bad library. Your phone and desktop are not a sandbox.
How are you counting calories from a 1-line description of your meal? Surely that’s not even close to accurate.
> A personal music player for Apple Music with an embedded agent loop, so I can say things like "I'm going to work in the wood shop, play woodworking-appropriate music and keep the playlist full and non-repeating indefinitely".
how is AI (or a human for that matter) supposed to know what “woodworking-appropriate music is”? I had the same thoughts when spotify released their “let AI make a playlist for you”. Like, we already have recommender algorithms, why do we need to get a LLM involved?Maybe I just don’t understand woodworking and the connection it has to music though (I’m also the kind of person who’s had the same playlist for like the past 4 years)
But, I do want to say, personal app built just the way you like it, an alternative front end to a closed source ecosystem even, is super cool, and has been one of the things that AI coding has really enabled.
I’ve done a few project where I just give claude a har file and tell it to reverse engineer a cli from some web interface and it’s so powerful to be able to do stuff like that now