Correct it once, and every similar answer follows.
Step 1 of 4: Before
A correction changes the next answer.
Your team stops repeating the same correction: once accepted, it shapes every similar answer after it.
Learning and personalisation. It runs After confirmed feedback.
Your team says it once.
With Duplex, the first correction is the last. On its own, your AI needs the same correction again in every chat and every tool.
Step 1 of 3: Monday
Monday: a reviewer corrects an answer.
When the right answer changes, so does Duplex.
In a stream of 3,000 decisions where the right answer changed five times, Duplex stayed right on the decisions that changed.
Step 1 of 4: The start
The stream starts, and Duplex learns the answers from confirmed results.
One correction reaches every wording.
Duplex learns what was corrected, not the sentence it was corrected in.
Step 1 of 4: One request
The correction is made on one request.
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- One lesson removed, the rest keptRemove one outdated or unwanted lesson and keep everything else, with nothing to retrain.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.