A great perfume is composed in layers, each note doing one job, together becoming unforgettable. Production AI deserves the same discipline. Today it rarely gets it. One large agent is asked to do everything at once, the fastest way to start, and the most expensive way to keep going. Tokens burn. Decisions blur. Every change feels like a refactor. This session will explore the Agent Train: a chain of small, specialized AI agents, each guided by its own Mermaid diagram, directing without dictating, composing without colliding. Through a real failure-analysis case, I'll share the exact architecture, the Mermaid-guided pattern that keeps token costs down, and how to slip the train into a system that's already running, no refactor required. By the end, you'll know how to compose your own Agent Train.
LANGUAGE
English
LEVEL
Advanced
FORMAT
Session
