April 2026
Intermediate
290 pages
7h 14m
English
Whenever a software team needs to solve a complex problem, they don't dedicate a single person to do everything, whether it's architecture, coding, testing, or deployment. That would create chaos. Rather, there are architects, developers, testers, each doing what they're good at. Similarly, a hospital has doctors, nurses, specialists, and administrators working together. The same principle applies to AI agents.
In the previous chapters, you learned how to build single agents with tools and how they interact with other systems. For the majority of use-cases, a single agent should be able to accomplish most of the tasks. But what if a single agent isn't enough and if your problem is too complex for one agent ...
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