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This video demonstrates a working multi-agent travel booking chatbot built with AUTOMA-AI, showcasing how a shared session blackboard enables structured collaboration between agents in a long-running workflow. In the demo, the orchestrator: 1. Collects and confirms trip requirements 2. Delegates quote searches to subagents 3. Aggregates results via the blackboard 4. Handles user selections 5. Finalizes bookings with confirmation details This example illustrates how structured state (blackboard) + agent orchestration + tool-based delegation creates reliable, multi-turn, process-heavy AI workflows — far beyond simple prompt-response chat. Perfect for developers exploring: - Agent orchestration patterns - Shared structured state across agents - LangGraph-based execution - Practical multi-agent system design