Research on epistemic AI, hidden failures, and what agents know versus what they score.
Does the agent understand the environment well enough to keep passing as conditions change?
Agents can succeed while relying on bad assumptions. We find what you don't yet know will break.
Turn agent redeployment into a repeatable system where every deployment teaches the next one.
What changes between environments and which assumptions no longer hold.