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From Chatbots to Agents

🤖 What Are AI Agents?⏱ 5 min⭐ 50 BASE XP

Welcome to the AI Agents Academy!

There is a fundamental difference between a Chatbot and an Agent. Chatbots react to your text with text. AI Agents pursue goals, interact with external environments, and execute complex workflows over time.

An AI Agent incorporates three core components that basic LLMs lack:

  • Autonomy: The ability to decide on the next step without human prompting.
  • Tool Use: The ability to interact with APIs, databases, and code execution.
  • State & Memory: The ability to track progress toward a goal across multiple steps.
💡 Key Insight: The earliest popular demonstration of pure agentic behavior was AutoGPT (2023), which simply put an LLM in a loop with web search and file writing.

The OODA Loop

Agentic design often borrows from military strategy: the Observe, Orient, Decide, Act (OODA) loop. An agent observes its environment (e.g., API response), orients itself (reasoning), decides on a tool to call, and acts (executing the tool).

SYNAPSE VERIFICATION
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What primarily distinguishes an AI agent from a standard chatbot?
It uses a larger model
It can pursue goals autonomously using tools
It has a better system prompt
It costs more per token
Watch: 139x Rust Speedup
From Chatbots to Agents | What Are AI Agents? — AI Agents Academy