Explore the evolution from traditional prompt engineering to advanced agentic AI systems in this conference talk featuring industry experts who demonstrate the transition from static RAG workflows to dynamic, multi-agent architectures. Learn how context engineering has replaced conventional prompt engineering as the critical skill for providing comprehensive context that enables LLMs to solve complex tasks effectively. Discover theoretical foundations of AI agents through practical demonstrations of agent-driven evidencing processes that showcase dynamic, multi-step reasoning and seamless collaboration between multiple agents. Witness a live demonstration revealing how these advanced concepts translate into measurable productivity improvements for intricate real-world applications such as automated bid writing, while gaining insights from real-world case studies that illustrate the practical implementation and benefits of multi-agent systems in professional environments.