November 2025
Intermediate to advanced
396 pages
9h 28m
English
In the previous chapter, we established the foundational skill of context engineering: transforming a vague prompt into a structured semantic blueprint. Now, we will apply that skill at a much larger scale to build a system of specialized AI agents that collaborate to solve complex problems using contexts to communicate. A single LLM is a brilliant generalist, but it’s not an expert. For any complex, multi-step task, using a single LLM is inefficient and often fails. Therefore, we will architect a Multi-Agent System (MAS), where the context we engineer expands beyond the content of a single message to define the very design of the system. This includes defining which agents are needed, their specific roles ...
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