AI Agents Cheat Sheet

1. What Is an AI Agent?

An AI agent is a system that perceives its environment and acts to achieve goals autonomously. It processes information and adapts to changes intelligently.An AI agent is a system that perceives its environment and acts to achieve goals autonomously. It processes information and adapts to changes intelligentlyAn AI agent is a system that perceives its environment and acts to achieve goals autonomously. It processes information and adapts to changes intelligentlyAn AI agent is a system that perceives its environment and acts to achieve goals autonomously. It processes information and adapts to changes intelligentlyAn AI agent is a system that perceives its environment and acts to achieve goals autonomously. It processes information and adapts to changes intelligentlyAn AI agent is a system that perceives its environment and acts to achieve goals autonomously. It processes information and adapts to changes intelligently.An AI agent is a system that perceives its environment and acts to achieve goals autonomously. It processes information and adapts to changes intelligentlyAn AI agent is a system that perceives its environment and acts to achieve goals autonomously. It processes information and adapts to changes intelligently

2. Language Model

Language models like GPT and Claude help agents understand and generate human-like text. They are the reasoning core behind intelligent decision-making.Language models like GPT and Claude help agents understand and generate human-like text. They are the reasoning core behind intelligent decision-making.Language models like GPT and Claude help agents understand and generate human-like text. They are the reasoning core behind intelligent decision-making.Language models like GPT and Claude help agents understand and generate human-like text. They are the reasoning core behind intelligent decision-making.Language models like GPT and Claude help agents understand and generate human-like text. They are the reasoning core behind intelligent decision-making.Language models like GPT and Claude help agents understand and generate human-like text. They are the reasoning core behind intelligent decision-making.Language models like GPT and Claude help agents understand and generate human-like text. They are the reasoning core behind intelligent decision-making.Language models like GPT and Claude help agents understand and generate human-like text. They are the reasoning core behind intelligent decision-making.Language models like GPT and Claude help agents understand and generate human-like text. They are the reasoning core behind intelligent decision-making.

3. Tools

Agents use tools such as APIs or external systems to gather data, execute tasks, or perform real-world actions based on prompts or reasoning steps.Agents use tools such as APIs or external systems to gather data, execute tasks, or perform real-world actions based on prompts or reasoning stepsAgents use tools such as APIs or external systems to gather data, execute tasks, or perform real-world actions based on prompts or reasoning stepsAgents use tools such as APIs or external systems to gather data, execute tasks, or perform real-world actions based on prompts or reasoning stepsAgents use tools such as APIs or external systems to gather data, execute tasks, or perform real-world actions based on prompts or reasoning stepsAgents use tools such as APIs or external systems to gather data, execute tasks, or perform real-world actions based on prompts or reasoning steps

4. Orchestration Layer

The orchestration layer governs how AI agents plan, reason, and act by managing memory, context, and task flow.

5. Building AI Agents

Learn how to integrate components like LLMs, tools, and memory into cohesive AI systems that can think and act independently.