In a live stream discussion featuring Shivay Lamba from Couchbase and Dylan Bristot from Nebius AI Studio, the essential components for developing and deploying AI agents in production were explored. AI agents, distinguished from traditional large language models (LLMs), are designed to act autonomously by understanding context, using tools, and maintaining memory to perform tasks such as booking meetings or drafting proposals. The conversation highlighted the importance of selecting the right tools and LLMs, integrating security and observability for monitoring, and employing effective orchestration and reasoning strategies. Various design patterns and operational best practices, such as managing structured outputs and maintaining agent catalogs, were discussed to enhance the capabilities and performance of AI agents. The speakers underscored the significance of careful LLM selection, secure data handling, and robust observability for successful productionization, while platforms like Nebius AI Studio and Couchbase Capella were presented as valuable resources for building and managing AI agents.