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Explore the cutting-edge world of AI agents in this comprehensive conference talk that advances beyond basic Large Language Model implementations. Define what constitutes "agentic" systems and understand the fundamental limitations of LLMs while discovering key agent characteristics and design patterns. Learn through hands-on Java implementations using LangChain4j and ADK frameworks to build various intelligent agents that demonstrate typical agent patterns and capabilities extending far beyond simple LLM calls. Master techniques for creating responses that truly meet user needs and trigger actions within surrounding systems. Discover how agents communicate and collaborate through the Model Context Protocol (MCP) for tool invocation and the Agent To Agent protocol (A2A) for cross-platform interactions. Gain practical insights into building multi-agent systems that can work together across different platforms and ecosystems, positioning yourself at the forefront of this emerging technology frontier in artificial intelligence development.
