A Practical Guide For Building Agents

Agentic AI is the new craze after LLM. Everyone is trying to get on the same bandwagon and bring agentic AI to their daily life or business. Large language models are becoming increasingly capable of handling complex, multi-step tasks. Advances in reasoning, multimodality, and tool use have unlocked a new category of LLM-powered systems known as agents.

This guide is designed for product and engineering teams exploring how to build their first agents, distilling insights from numerous customer deployments into practical and actionable best practices. It includes frameworks for identifying promising use cases, clear patterns for designing agent logic and orchestration, and best practices to ensure your agents run safely, predictably, and effectively.

Table Of Contents

• What Is An Agent?
• When Should You Build Agents?
• Agent Design Foundations
• Single-Agent Systems
• Multi-Agent Systems
• Guardrails
• Conclusion

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What Is An Agent?

Let’s look at three different definitions of agents from simple to complex.

Here’s how Google defines an agent.