It learns from every confirmed result.
Confirm a result once, and the next request already benefits, with no retraining and no re-prompting.
Learning and personalisation. It runs After a confirmed result.
It learns the moment you confirm.
The confirmation is the lesson, with no retraining run to wait for and no prompt to rewrite.
You confirm a result the way you already do: you accept it, approve it or mark it right.
The next answer starts from the confirmed one.
Once Duplex has learned a result, the requests it fits no longer start from zero. Your AI is briefed with it, and when it is settled, Duplex answers them itself.
The first time, your AI works it out, and you confirm the fix.
Built to keep learning for months.
Learning from live work only helps if it holds up over time. Duplex met all five requirements on every one of ten runs.
It learns new kinds of work as they arrive.
Learns and unlearns.
Duplex learns from each confirmed result straight away, and any single lesson can be taken back while the rest stays.
- It learns from every confirmed resultConfirm a result once, and the next request already benefits, with no retraining and no re-prompting.
- A correction changes the next answerYour team stops repeating the same correction: once accepted, it shapes every similar answer after it.
- A wrong change is taken backA lesson that made answers worse can be reversed, and the answers that worked before come back.
- One lesson removed, the rest keptRemove one outdated or unwanted lesson and keep everything else, with nothing to retrain.
- It learns what each action doesPlans grow more reliable over time, because Duplex learns what each action changed.
- A wrong observation is removedRemove an observation that turned out wrong, and every plan built on it is checked again.
See it on your own work.
From your own assistant to every agent your company runs, a pilot puts Duplex on your own work, with the measures agreed before it begins.