Stop building slow AI: Optimizing multi-agent systems for production // TRAIN BRAIN

Stop building slow AI: Optimizing multi-agent systems for production

Build a Multi-Agent Marathon Planner with ADK and A2A → https://goo.gle/4nyWbRE
[Demo] Race Condition → https://goo.gle/3Pbv16Z
Join Casey West and Ivan Ardini as they break down the multi-agent architecture behind their Dev Keynote demo, revealing the secrets to optimizing complex AI systems for production constraints. Discover how to leverage the Agent Development Kit (ADK) to build specialized "planner," "simulator," and "evaluator" agents, and learn advanced techniques for real time evaluation using Gemini 3.1 Pro. Explore how to optimize Agent2Agent Protocol (A2A) communication using Pub/Sub, WebSockets, and protocol buffers, and master Agent-to-User Interface (A2UI) generation to build responsive, scalable frontends for cloud applications.
Chapters:
0:00 - Intro
1:14 - Considerations for building the Cloud Next 2026 demo
3:42 - Agents as judges
5:20 - Tools vs skills for AI agents
7:55 - Evaluating AI agents
11:33 - Using Agent2Agent Protocol (A2A) in the demo
16:20 - How can developers trust the output of AI models?
18:41 - Data governance for multi-agent systems
19:50 - Getting started with codelabs
Watch more Google Cloud Next 2026 → https://goo.gle/next-talks-2026
? Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#GoogleCloudNext
Speakers: Casey West, Ivan Nardini
Products Mentioned: Agent Development Kit, Gemini, Agent2Agent Protocol, Pub/Sub, WebSockets, Agent-to-User Interface, Gemini Enterprise Agent Platform

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