Every real result moves trust in a program: up when it holds, down when it slips.
Step 1 of 6: The program
Trust in a program follows its results.
Real-world results raise or lower trust in each program.
Learning and personalisation. It runs After a confirmed result. In the Agent Operating System, it is how every agent gains new skills, proven programs and the right tool for each job.
When the real world changes, trust follows it.
A script keeps doing what it was told long after the world has moved on. With MS Duplex, real results show the slip, and trust falls with them.
Step 1 of 3: A good month
For a month, every order is right.
The record behind its trust.
Your team can see every result that moved trust, confirmed or corrected, week by week.
Step 1 of 4: Week one
Week one: every café stocked, nothing wasted.
Only real results move trust.
Trust moves when a result is confirmed or corrected, never on a guess. If results keep slipping, your health policy can pause the program.
Step 1 of 5: Confirmed
A confirmed result raises it.
Writes and tests small programs.
For a well-defined task, MS Duplex writes a small program, tests it against known cases and uses it only once it passes.
- A small program, proven on known casesRepetitive, well-defined work is done by a tested program, at almost no cost per run.
- Your model helps once, MS Duplex checks itFor a hard case your model is asked once, and the proven result is reused from then on.
- A solved problem, answered from its solutionA problem solved once is never paid for again.
- Trust in a program follows its resultsReal-world results raise or lower trust in each program.
- Every proven method, by status and ownerYour team sees every method MS Duplex relies on, who owns it and where it applies.
- One method, with its tests and historyAny method can be inspected, down to its tests and its track record.
- The reusable parts behind its programsThe building blocks that keep recurring are visible, so your team knows what new work stands on.
- The checks behind a programBefore your team relies on a program, it can see the tests it passed.
- A proven method becomes the preferred oneThe method with the best record is the one used by default.
- A doubtful method, paused straight awayA method that might be unsafe stops being used straight away.
- A fixed method returns to useOnce the cause is fixed and it passes again, a method returns to use.
- A wrong method, withdrawn for goodA method found to be wrong is withdrawn, and never comes back into use.
- A program erased when the law requires itA program and its data are erased when the law or the owner requires it.
- A flawed part, withdrawn everywhere it was usedA flawed building block is withdrawn, along with every method that used it.
- The parts that keep coming backWhat recurs across proven programs becomes a shared part, so new programs start further ahead.
- Every new method tested before useA method reaches your work only once it has passed its tests, whether it is new or changed.
- A new area starts from proven methodsA new work area can start from a library of proven methods, each re-checked locally.
- What its programs solve and saveYour team can see how much work programs take off your AI, and what that saves.
See it on your own work.
From your own assistant to every agent your company runs, a pilot puts MS Duplex on your own work, with the measures agreed before it begins.