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Learn how to implement multi-agent systems for personalization at scale through this 17-minute conference talk from the Coding Agents Conference. Discover the evolution from single-agent approaches to multi-agent systems that deliver mass personalization while addressing common challenges like edge case failures, agent contradictions, and debugging difficulties. Explore the Cortex UCM (unified customer memory) solution and Generative Tables that map noisy data into clean, structured layers for agent interaction. Examine real-world applications spanning email communication (both outbound and inbound), personalized websites, and e-commerce product pages, including a case study of customizing over 60,000 product pages for thousands of communities and product offerings. Understand decentralized shared-memory orchestration techniques that maintain transparency and debuggability while enabling safe external agent integration. Gain insights into what approaches failed, what worked effectively, and future development directions in multi-agent personalization systems from an industry expert with 20 years of AI and machine learning experience.
