How Multi-Agent Systems Enable Personalization at Scale
About this session
Personalization with AI goes beyond a single prompt or user profile—it requires understanding context, coordinating specialized capabilities, and adapting outputs to individual needs. We built a supervisor-based multi-agent system that orchestrates specialized agents, context, and tool calls to enable personalized experiences at scale. We’ll walk through the architecture behind this approach and how different agents collaborate to reason about user context and determine the right response or action. You’ll leave with a practical understanding of how multi-agent systems can power personalization in production, along with lessons on orchestration, prompt management, evaluation, and operating agentic systems at scale.
Speaker
Key takeaways
- Learn how personalization can be generated at scale
- Takeaways on operating agentic systems in production
- Lessons on prompt management and evaluations
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