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Agent Terminology

Master the essential vocabulary and concepts in the agentic AI landscape

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Practical Usage

See how terminology comes alive in real-world agent implementations. Understanding terms in context helps solidify your knowledge.

📋 Real-World Scenarios

Select a scenario to see how agent terminology applies in production systems:

💬 Customer Support Agent

A customer service agent that handles inquiries, accesses knowledge bases, and routes complex issues.

Customer:

"I need help canceling my subscription."

Agent Process:

1.
Reasoning: Analyzes intent → "Customer wants to cancel subscription"
2.
Memory: Retrieves customer account details from previous conversation
3.
Tool Calling: Invokes get_subscription_status()
4.
Planning: Determines next steps → verify identity → process cancellation

Agent Response:

"I can help with that. I see you have an active Premium plan. Before I proceed, can you verify your email address?"

💡 Terms in Action:

  • • Agent orchestrates the entire conversation flow
  • • Reasoning interprets customer intent
  • • Memory maintains conversation context
  • • Tool Calling retrieves live subscription data
  • • Planning sequences multi-step verification process

🎯 Key Insight

Notice how terminology appears together in real systems. Agents use reasoning to make decisions, tool calling to take actions, memory to maintain context, and orchestration to coordinate everything. Understanding these connections is more valuable than memorizing isolated definitions.