New skills, learned on its own.
Routine work nobody scripted becomes a skill Duplex runs itself, where it is safe to try.
Reusable skills. It runs On request, once your team switches it on.
A task Duplex has learned stops costing a model call.
Once the skill is proven, every new client after the first gets a workspace set up by Duplex itself, and your AI is free for work that is new.
The first new client’s workspace is worked out step by step, and the result is checked.
Every task completed with the model switched off.
Duplex was tested on four suites over ten runs, with no examples, labels or help. It completed 100% of tasks, refused every unsafe shortcut and could remove every skill it learned.
The model was switched off for the whole test: a single model call would have failed the run.
It only tries what you allow.
Duplex learns new skills where it is safe to try and where success can be checked. An action outside the limits you set is refused before it runs, and the skill is still learned.
Creating the client’s project board is within its limits, so Duplex may try it.
Learns new skills on its own.
Where it is safe to try and success can be checked, Duplex learns a new skill, tests it before use and can retire it.
- New skills, learned on its ownRoutine work nobody scripted becomes a skill Duplex runs itself, where it is safe to try.
- A wrong skill withdrawn, with what it madeA skill that turns out wrong or unwanted is withdrawn with everything it created.
- Every skill it has learned, and where it standsYour team can review every skill Duplex has, and decide which ones stay.
- Skills earn their place with real resultsA skill that stops delivering loses its place, and one that keeps delivering is used more.
- Skills checked before reuseA skill that has slipped is caught before it is used 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.