Multi-agent architecture, facilitated by Temporal's orchestration capabilities, simplifies the construction of durable and efficient systems where specialized agents collaborate to complete complex tasks. Multi-agent architectures are beneficial due to their ability to manage task-specific agents, reducing the complexity and evaluation challenges associated with general-purpose agents. Temporal's framework supports agent routing and task delegation, allowing for streamlined processes such as planning a trip or managing inventory issues in a fictional setting like the Harry Potter universe. The system employs a proactive approach by setting up agents to autonomously detect, analyze, and propose solutions for problems, while also incorporating human feedback through conversational agents and Model Context Protocol (MCP). This architecture model emphasizes task delegation, where each agent performs a specific role, enhancing system resilience and transparency. The design choices, such as using workflows for long-running or interactive agents and activities for short-lived tasks, align with the Detect-Analyze-Plan-Execute-Report (DAPER) pattern, enabling efficient problem-solving and execution on behalf of users.