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What is the Model Context Protocol (MCP) and what problem does it solve in agentic system design?

What is orchestration in the context of AI agents, and what key components does it coordinate?

Compare and contrast reflex agents with ReAct agents. What are the trade-offs between them?

What is context engineering, and why is it considered a core component of orchestration?

What problem is Graph retrieval-augmented generation (GraphRAG) designed to handle better than baseline RAG?

What is the main benefit of semantic experience memory over a plain rolling context window?

What is Retrieval-Augmented Generation (RAG), and how does it combine retrieval and generation?

What is Experiential Learning (ExpeL) and how does it build on Reflexion to enable cross-task learning?

What is the key difference between democratic coordination and manager coordination in multiagent systems? What are the trade-offs of each approach?

What are the primary benefits of starting with a single-agent system, and under what conditions should you consider transitioning to a multiagent architecture?