Exploring Pragmatic Patterns in Agentic Systems by OpenAI

​As autonomous AI systems grow increasingly sophisticated, everyone is working to identify optimal architectural patterns.

​Different design approaches serve distinct priorities – from maximizing agent autonomy to ensuring scalability, maintaining simplicity, or guaranteeing long-term stability.

​In this talk the BuzzRobot guest, Ilan Bigio from OpenAI, will present a practical taxonomy of these patterns, examining key tradeoffs such as operational range versus reliability, and acceptable failure thresholds.

​Drawing from his experience developing Swarm, he'll share insights into creating systems that balance reliability, simplicity, and ergonomic design principles.

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