AI employees that get better every week
When a person corrects an answer, or an outcome goes well, the AI employee remembers. Corrections, performance scores and successful strategies feed back in, and prompt updates roll out to a small share of traffic first.
The problems it solves
If any of these sound familiar, this is for you.
You fix the same AI mistake again and again.
You can't tell whether a change made things better or worse.
Speech recognition mishears your brand and product names.
How it works
Staff correct a reply or a mis-heard word once.
The correction is stored and applied to future conversations.
Scores show whether the AI is improving before a change goes to everyone.
Use cases at a glance
Illustrative examples — the figures are made up to show what the outcome looks like, not real customer data.
What you get
- Corrections are remembered — the same mistake isn't repeated
- Performance scores per AI employee and per provider
- Cautious rollouts: test a new prompt on a small share first
When you need it
You're ready for this when…
- The AI repeats the same mistakes.
- Your business terms and names are unusual.
- You want proof that a change helped.
If two or more of these sound like your week, you'll see results in the first days.
Use cases
How businesses like yours put it to work.
- Restaurant
the AI learns how your dish names are pronounced and stops mishearing them.
- Retailer
learns the answer to a new policy question after one correction.
- Agency
compares two prompt versions on a small share of chats before switching.
Works well with
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