Agent Terminology
Master the language of AI agents with interactive definitions and practical examples
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0 / 5 completedThe Language of Agents
Before building agents, you need to speak their language. This glossary covers the essential terms you'll encounter throughout your agentic AI journey.
💡 Why Terminology Matters
Agentic AI introduces a new vocabulary that blends computer science, AI research, and system design. Understanding these terms precisely prevents confusion and helps you recognize patterns across different frameworks and implementations.
📖 Core Terms Explorer
Click on any term to see its definition, practical example, and key insight
Agent
Definition
An AI system that can perceive its environment, make decisions, and take actions to achieve specific goals autonomously.
💡 Example
A customer support agent that reads emails, searches knowledge bases, and drafts responses without human intervention.
🎯 Key Point
Agents act independently based on observations, not just respond to direct prompts.
🌱 For Beginners
Don't try to memorize everything at once. Focus on understanding Agent, Tool Calling, and Reasoning first—these form the foundation. The rest will click as you see them in action.
🎓 For Experienced Developers
If you're coming from traditional software, think of agents as autonomous microservices, tool calling as API integration, and orchestration as workflow automation—but with AI decision-making.