Beyond25

An AI music curator that does the reading first and remembers what you like. It searches the web live, shows you its sources, and checks every track against a real catalog so nothing it hands you is invented. Save it to Apple Music or YouTube Music in one tap, or send it on to Spotify.

Ask most AI playlist tools for something and they'll confidently give you songs that don't exist. Beyond25 goes and reads first. It searches, pulls from Wikipedia, Genius, Billboard, Rolling Stone and the Grammys, and shows you the sources above the result. Then every track gets matched against a real catalog before it reaches you.

You can brief it in chat, or open Canvas and build the request from mood, genre and decade chips without typing. It'll make ten tracks or five thousand. Blend lets up to eight friends feed one playlist from a link, no account needed.

The newest part is taste. It remembers what you ask for, what you keep and, if you let it, what you actually play, so the fifth thing you ask for doesn't start from zero. You can see it as a map of artists and eras and change whatever it got wrong. That part's free, even on the free plan.

It isn't one model in there, it's a chain of them, and every link has its own cost and its own ways of being subtly wrong. So I built an admin-only Lab that swaps the model behind each step independently and runs five configurations against the same brief at once. That's how a research pass went from about forty seconds down to five.

It runs on iPhone, iPad, Android, the web and natively on Mac. Spotify still hasn't let it out of developer mode, so anything headed there goes through a transfer service and shows up about a minute later. If you'd rather nothing left the house, point it at a local Ollama model, or let it use Apple's on-device models on iOS.