What is local AI, in plain terms? +
Local AI means the app and your data run on your own computer instead of a company server. Routines stores everything on your Mac as markdown and SQLite, and only sends a request to a model provider when you actually ask the AI to do something.
Can I run a local LLM with no internet at all? +
Routines can read your routines, meetings, memory, and outputs fully offline because they live in a local database. The text-generation step needs a model, and that step needs a connection: point it at a local model you run yourself, or, when you are online, let Routines AI handle it or use a cloud provider on your own key.
Do you ever see my data or my API key? +
We never see your key: it lives in the macOS Keychain and is never sent to us. Your notes and memory stay on your Mac unless you switch on Cloud Sync and Backup, which is off by default, or share one by link. With it off, the prompt travels, in one of two shapes, and so does meeting and dictation audio when you record or dictate, which goes to Deepgram for transcription. On your own key or a local model, the request goes from your machine to the provider and there is no Routines server in the middle. On Routines AI, the request passes through our server to Anthropic and we store nothing of it, only the tokens and cost we bill.
How is this different from a cloud AI with a privacy mode? +
A privacy toggle asks you to trust a promise about data the vendor is already holding. Routines starts out holding none of it: your notes, memory and history are files on your disk, and by default a single prompt moves, either through a server that stores nothing or straight to the provider on your own key, and so does meeting and dictation audio when you record or dictate, which goes to Deepgram for transcription. Cloud Sync and Backup changes that, and it is off until you turn it on yourself. So does sharing a meeting or an output by link.