Most AI tools on the Mac work the same way: you open them, paste in context, and explain what you were doing. That s fine until you notice how much of your day is spent re-explaining your own day.
I ve been working on the opposite approach with Winq. It knows where your attention is: which screen you re looking at, what you read, and when you walked away. With that, it can help without being asked:
You step out of a call for 7 minutes, and when you look back, a summary of what you missed is already there.
You leave your desk, your Mac locks and your music pauses. When you re back, a card shows where you left off.
You vaguely remember an article from Tuesday. You describe it, and Winq takes you back to the exact spot.
The tricky part is trust. Something that notices you is only useful if it never feels like it s watching you. Winq keeps the camera on your Mac, never saves frames, and only reaches cloud AI when you ask it something.
Gaze focus switching: look at a window and it becomes the active one.
Per-eye wink clicks: left wink and right wink are separate actions.
Face-gesture shortcuts: map gestures to the actions you use most.
Notch island: a small live indicator in the notch area shows what Winq detected.
No extra hardware: it works with your Mac’s built-in camera, with a short guided calibration.
Private by design: all face tracking runs on your Mac, and no video leaves the device.
This is the first release of the CLI, and there are more feature coming on the way, to make collaborative work less than possible and easier for testing and deploying and also to make sure every dependence your teammate own it
