📝 Agent observability needs feedback to power learning Most teams start thinking about agent observability as a debugging tool. Something went wrong, so you open the trace, inspect the steps, and figure out where the agent made a bad decision. That is useful. But it is too narrow. The deeper role of agent observability is to power learning. But traces alone do not create that loop. You also need feedback: signals that tell you whether the agent’s behavior was useful, accepted, rejected,…