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LearnGPT
AI & GPT Core

AI AgentsAI That Can Take Action

AI agents go beyond chatting — they can browse the web, write code, manage files, and complete complex tasks autonomously.

What Are AI Agents?

What is an AI agent?

An AI agent is an AI system that can take actions on its own to accomplish goals. While ChatGPT waits for you to type and responds, an agent can browse websites, run code, send emails, and more — working autonomously toward an objective you give it.

How is this different from ChatGPT?

ChatGPT is like a very smart advisor who can only talk. An AI agent is like an assistant who can actually DO things — book appointments, research topics, write and run code, manage files.

Are AI agents safe?

It depends on how they're built. Good AI agents have guardrails, require approval for sensitive actions, and operate within defined boundaries. The field is still evolving.

The simple version: An AI agent is like having an AI intern who can actually do tasks for you — not just give advice, but take real actions in the digital world.

How Do AI Agents Work?

Agents follow a loop: plan → act → observe → adapt → repeat.

1

Receive Goal

You give the agent a high-level objective like "Research the top 5 project management tools and create a comparison document."

2

Plan Actions

The agent breaks down the goal into steps: search for tools, visit each website, extract features, compare them, write the document.

3

Execute Steps

The agent carries out each action: browses websites, reads content, makes notes, processes information.

4

Observe Results

After each action, the agent observes what happened and decides if it succeeded or needs to try a different approach.

5

Adapt & Continue

Based on results, the agent adjusts its plan if needed and continues until the goal is complete or it gets stuck.

6

Deliver Output

The agent presents the final result — in this case, a document comparing the project management tools.

What Can Agents Do?

The tools and actions available to AI agents.

Web Browsing

Search the internet, read websites, gather information

Code Execution

Write and run code to solve problems

File Management

Read, create, and modify documents

Communication

Send messages and manage correspondence

Tool Usage

Connect to and use various software tools

Multi-step Planning

Break down complex tasks and execute them step by step

Types of AI Agents

From simple chatbots to fully autonomous systems.

Conversational Agents

AI that can have extended conversations and remember context across interactions.

Maturity: Widely available

Task Automation Agents

AI that can complete specific tasks like scheduling, data entry, or simple research.

Maturity: Widely available

Coding Agents

AI that can write, debug, and modify code. Can work on entire features or projects.

Maturity: Rapidly improving

Research Agents

AI that can browse the web, synthesize information, and produce comprehensive reports.

Maturity: Available now

General-Purpose Agents

AI that can handle arbitrary tasks by combining multiple capabilities.

Maturity: Early stage

Multi-Agent Systems

Multiple AI agents working together, each specializing in different tasks.

Maturity: Experimental

Real-World Examples

Tasks that AI agents can handle from start to finish.

Travel Planning

Research destinations, compare flights, find hotels, and create a complete itinerary.

Competitive Research

Analyze competitors, gather pricing info, and create a market analysis report.

Code Project Setup

Create a new project with proper structure, dependencies, and configuration.

Content Creation

Research a topic, outline key points, write an article, and format it properly.

Important Limitations

Reliability Issues

Agents can get stuck, make mistakes, or go in wrong directions.

Tip: Start with simple tasks and supervise agent work.

Cost

Agents often make many AI calls to complete tasks, which can add up quickly.

Tip: Use agents for valuable tasks where time savings justify the cost.

Security Risks

Giving AI access to your computer, email, or accounts introduces risk.

Tip: Use sandboxed environments and limit agent permissions.

Hallucinations

Like all LLMs, agents can confidently do the wrong thing or make up information.

Tip: Verify agent outputs, especially for critical actions.

AI Agents You Can Try Today

Tools with agent capabilities available right now.

Claude

Can use computer control to browse and interact with software.

ChatGPT

Can browse the web, run code, and create files with plugins/GPTs.

Perplexity

Research agent that searches and synthesizes information from the web.

GitHub Copilot

Coding agent that can write, edit, and explain code in your IDE.

Cursor

AI code editor with agent capabilities for building entire features.

Zapier AI

Automation agent that can create and run workflows across apps.

Ready to Try AI Agents?

Start with simple tasks and see what AI agents can accomplish. The technology is evolving rapidly!

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