This session dives into the critical role of context in optimizing the performance of AI-driven agents and introduces strategies for improving their decision-making capabilities. Drawing parallels to organizational cultures like Netflix, it highlights the importance of combining data, metadata, business operations, and institutional knowledge to create a comprehensive context for agents. 

We will discuss the challenges of managing unstructured data and outdated documentation, and propose solutions such as categorizing and refining content for AI consumption to ensure relevance and accuracy. Additionally, the session provides actionable advice on starting small with internal-facing agents, such as onboarding workflows, to build scalable approaches for broader implementation.