# What agents are and when to use them vs. simple LLM calls

> Building agents involves understanding their functionality compared to simple LLM calls, focusing on automation and complex task execution. This lesson teaches how to create specialized agents using tools like Langflow and Clot Code, emphasizing the importance of the "reason-act-observe" loop for c…

- Web page: https://learn.thecyberinstructor.com/lesson/whatagentsareandwhentousethemvssimplellmcalls-4bdf7
- Program: [AI for Cybersecurity](https://learn.thecyberinstructor.com/program/ai-for-cybersecurity-8503)
- Access: Requires enrollment in AI for Cybersecurity
- Length: 2 h 8 min video
- Skills: NLP, LLMs
- Academy: The Cyber Instructor

## About this lesson

Building agents involves understanding their functionality compared to simple LLM calls, focusing on automation and complex task execution. This lesson teaches how to create specialized agents using tools like Langflow and Clot Code, emphasizing the importance of the "reason-act-observe" loop for continuous reasoning. Ideal for data and AI engineers looking to enhance their skills in building intelligent systems, the lesson covers practical examples and best practices for implementing agents effectively.

## Navigation

- Previous lesson: [Preventing prompt injection attacks](https://learn.thecyberinstructor.com/lesson/preventingpromptinjectionattacks-bccb2.md)
- Next lesson: [Building a multi-step security automation agent](https://learn.thecyberinstructor.com/lesson/buildingamultistepsecurityautomationagent-a1a9d.md)