Vijay Samuel from eBay shared how they built AI-enabled "explainers" to make observability data (traces, logs, metrics, changes) easier to understand and actionable by combining deterministic engineering techniques with LLMs' summarization and reasoning strengths. He emphasized starting small, reducing randomness, and creating building block capabilities while cautioning against blindly relying on AI for complex, probabilistic workflows.