Everyone has a favourite framework. Nobody has tried all of them on the same problem.

You learned LangChain from a tutorial. Your colleague swears by ADK. Someone says AgentKit is the future. CrewAI keeps showing up in multi-agent demos. And your manager asks why you are writing code when Vertex AI Agent Builder exists. Each one solves a different problem and picking the wrong one means weeks fighting the framework instead of building your product.

Attendees build the same agent across LangChain, ADK, AgentKit, LangGraph, and CrewAI on the same task. They add tools, memory, and error handling in each and feel the difference. They see where Vertex AI Agent Builder solves it in minutes and where it hits limits. Every framework gets wired into LangSmith so attendees can trace agent decisions, compare latency, inspect tool calls, and evaluate output quality across all six in one dashboard. The comparison is not vibes, it is data. You leave knowing which framework fits which problem, what each one costs you, and what LangSmith reveals about them that the docs never will.