How Twinly remembers you

Under everything sits an always-on memory. The twin learns who you are continuously, not only when you tell it to remember something. Two signals feed it, both captured automatically:

• Your corrections, the strongest signal. A steer like “never text after 11” or “I prefer the aisle seat” becomes a standing rule the twin follows from then on.
• What your finished tasks reveal: a stated preference, a named relationship, a vendor you use.

Restating something it already knows does not pile up, and what it knows is fed into every task.

Memory is append-only and backed up: a bad write can never wipe what the twin knows about you. The only thing that clears it is an explicit reset by you.

Separately from facts about you, the twin remembers how to do tasks it has done before, and replays them, as described in How Twinly executes. If a site changes and a saved path stops working, it notices and re-learns a corrected version. You do not have to maintain anything.

The twin also looks ahead, locally and quietly, and offers help before you ask, read from your own calendar, mail, and saved notes, never by running an AI in the background:

• A meeting soon: it offers a quick prep brief.
• Two events overlapping today: it offers to sort the conflict.
• Something you were waiting on, now overdue: it offers to draft a polite chase.
• A deadline coming up, or a pile of unread mail: it offers a reminder or a catch-up.

When a task hits a real wall (a login wall, a canvas it could not target), the twin remembers what it tried and why it failed, so next time it adapts instead of repeating the same dead end.

• Everything is local. Your memory, learned pathways, and failure history live on your device, not in a cloud profile.
• Switches. Learned pathways and anticipation each have one.
• Reset clears it. An explicit reset wipes the learned memory; nothing else can.
• Memory never changes your approval rules. Knowing your preferences makes the twin's drafts better; what waits for your OK is still set by your approval mode.