In Part 1, we explored the fundamentals of building a simple AI agent and understanding its core logic. Part 2 revealed the performance bottlenecks and scaling issues that arise as agents become more complex and capable. This article (Part 3) focuses on a practical strategy for optimizing agent development. We'll show how to move beyond the limitations of monolithic agents by applying smart...

In our previous article, you learned how to build a simple but effective AI agent that could handle basic queries efficiently. While that foundation serves us well, the real world often demands agents with expanded capabilities—agents that can handle complex, multi-step workflows and integrate with multiple tools and systems. However, adding these capabilities comes with a cost. As agents grow...

AI agents represent an exciting frontier in automation, offering the potential for intelligent systems that can reason, plan, and execute actions autonomously. As this field rapidly evolves, developers and researchers are exploring various approaches to building effective agent systems, each with their own trade-offs and considerations. This article shares one practical approach to understanding...