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Explains how event-driven architecture using message queues like Kafka can decouple agent steps, enable asynchronous processing, and improve resilience for complex agent workflows. Includes a cheatsheet and tool recommendations.
This paper proposes the Personal Care Utility (PCU), an event-driven architecture designed to bridge the gap between episodic clinical care and the 8,759 hours of daily life that shape health. It organizes continuous personal data into meaningful events, uses LLMs for reasoning and communication while grounding clinical decisions in evidence, and instantiates the framework for Type 2 Diabetes management.