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What we covered
ADK builds the agents; A2A gives them a common language. The session treats them as one story, because an agent that can't talk to anything outside its own framework is a feature, not a system.
- What AI agents are, and the challenges that make building them harder than they look.
- ADK as an agent building toolkit: its key features, and a short code example.
- A walkthrough of an ADK agent, from definition to running.
- A2A next to MCP: the comparison everyone asks for, and where each protocol belongs.
- How A2A works: the interaction flow, its core concepts, and how responses and updates come back.
- ADK and A2A together, and what the combination makes possible that neither does alone.
- Use cases across industries, and what this means concretely for developers.
- Next steps and resources.
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