Failures in real conversations are grouped, turned into test cases, and answered with proposed changes to the prompt or skills, written by your team. Each proposal is tested against frozen suites, approved by a person and rolled out to a small share of conversations first, with automatic rollback.
Agents that get better from their own conversations, under review.
This capability is in early access. It is switched on per organization after a short onboarding with our team.
Gates run in a fixed order: safety, then quality, then cost per successful task. A cheaper change that fails a gate is not eligible, and changing a proposal invalidates its approvals.
We will walk you through it with your own data and your own channels.