Elastic + AI architecture review
For teams deciding where Elastic should sit in the AI stack, and which boundaries belong in the platform versus the application.
Working sessions
Use the book and field notes to frame the real architecture question
These sessions are meant for teams dealing with a real platform decision, not generic inspiration. The goal is to leave with sharper boundaries, a cleaner operating model, and a rollout path that can survive architecture review.
Formats
Three useful starting points
Each option maps directly to the strongest chapter and article clusters.
Agentic search design workshop
For teams designing retrieval, tool use, refusal behavior, and review boundaries for search-first agent workflows.
LLM observability and operator review
For teams that need prompt lineage, traceability, cost visibility, and a replayable incident path before scaling production AI workflows.
How to use this page
Start with the article or checklist that most closely matches your situation. If it maps cleanly to your environment, that usually means the underlying issue is substantial enough to merit a focused design review or working session.