Getting started
Set up your selv and explore what private, on-device AI can actually do.
Selv is currently in development. This page is the short guided overview: how the product is meant to work, what it captures, and why privacy is part of the product experience rather than an afterthought.
1. Start with your own context
Selv begins with the information you already produce: journals, notes, captured screens, audio, and everyday activity. The goal is not another empty AI chat window. It is context that belongs to you.
2. Keep processing local
Retrieval, summarization, and assistant workflows are designed to run on-device so your sensitive context stays on your Mac instead of flowing into third-party clouds.
3. Ask better questions
Once your data is connected, you can retrieve across time and modalities: what you wrote, what you looked at, what was said, and how your patterns changed.
What Selv is built to capture
- Journal entries, notes, and reflective writing.
- Screen context and recall workflows for what you were viewing.
- Audio capture and transcription for conversations and spoken thoughts.
- Activity signals that help reconstruct how your day actually unfolded.
- Encrypted context that can later be retrieved through on-device AI.
The privacy model in plain language
- Your stored data is intended to remain on your device.
- Core retrieval and AI workflows are designed around local processing.
- Encryption and device-level controls protect your history at rest.
- Offline-by-design means your private context does not depend on a server to be useful.
Early workflow
The first experience should be simple: capture your own context, ask a question that would normally require digging through notes or memory, and see Selv retrieve an answer from your own local history.
Request early access