Skip to content
Vareon

Handles new wording, and spots the look-alikes.

After learning ten kinds of request, Duplex answered them in any wording and handed nearly everything unfamiliar to your AI. Requests came at six levels, from familiar wording to look-alikes built to trick it and requests from another domain.

  • 7.5%Wrong answers on look-alike requestsA cache 45.3%, about 6× more
  • 98.98%Of requests handled correctly: answered right, or handed to your AIDuplex answered 95.78% of known requests itself
  • 0.996Score for telling familiar from new, out of 1A cache 0.930

Six kinds of request, from familiar to brand new.

Duplex answers a request it has learned, worded as before.

Step 1 of 7: As before

Look-alikes go to your AI.

Of every 100 requests that blend two learned ones, how many were answered wrongly.

Step 1 of 3: A cache

A semantic cache answers with the closest thing it has stored, and gets 45.3% of look-alikes wrong.

It answers what it knows, and passes on the rest.

Known work answered, new work passed on, and how well each approach tells them apart.

Step 1 of 3: Known work

Duplex answered 95.78% of known requests itself, against 86.44% for a cache.

More of your work, with no confident mistakes.

The most each approach could answer itself while making no confident mistakes at all.

Step 1 of 2: Known work

With no confident mistakes allowed, Duplex could answer 94.8% of known work itself, against 59.8% for a cache.

How it was run.

The work
Ten customer-support and banking request types, 48 example phrasings each.
Six levels
Worded as before, about something new, in a new sentence, a look-alike blending two learned requests, a kind never learned, and another domain.
Scoring
A request handed over counts as handled; answering one that should have been handed over counts as a mistake.
Scale
One main run, then ten independent runs in a second setup.
Compared with
A semantic cache and an online fine-tuned classifier, with the same examples.
Kept equal
Every approach’s setting chosen on a separate validation set by the same rule, never on the test set.

What it means for your work.

  • Cheap answers you can trust.

    Duplex answered 95.78% of known work itself, and handed nearly every look-alike to your AI.

  • New wording is still familiar work.

    Rephrased, rebuilt or about new details, learned requests were answered, and answered right.

  • The unfamiliar goes to your AI.

    New kinds of request and other domains were passed on almost every time: 3.2% were answered anyway.

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.