Designing for autonomous agents presents a unique frustration. We hand a complex task to an AI, it vanishes for 30 seconds (or 30 minutes), and then it returns with a result. We stare at the screen. Did it work? Did it hallucinate? Did it check the compliance database or skip that step? We typically respond to this anxiety with one of two extremes. We either keep the system a Black Box , hiding everything to maintain simplicity, or we panic and provide a Data Dump , streaming every log line and API call to the user. Neither approach directly addresses the nuance needed to provide users with the ideal level of transparency. The Black Box leaves users feeling powerless. The Data Dump creates notification blindness, destroying the efficiency the agent promised to provide. Users ignore the constant stream of information until something breaks, at which point they lack the context to fix it. We need an organized way to find the balance.…