A Practical Guide to Context Engineering: MCP, Skills, Web Search and more

A hands-on workshop exploring how the inputs you provide to an LLM-system prompts, examples, retrieved data, and conversation history-shape its outputs far more than the model itself. Participants will learn practical techniques for structuring, compressing, and curating context to get reliable results. Through live exercises, we'll iterate on real prompts and see how small context changes produce dramatically different outcomes.