ChatGPT has recently introduced powerful tools known as the 3 AI agents on ChatGPT: Codex, Operator, and Deep Research. These agents are designed to elevate the AI’s capabilities by handling specific tasks with specialized precision. Understanding what each agent does can help users maximize the benefits of ChatGPT for coding, data retrieval, and advanced research tasks.
What is Codex? The Programming AI Agent
The Codex AI agent is ChatGPT’s dedicated programming assistant. Built on the same GPT architecture but fine-tuned for coding, Codex can generate, explain, and debug code across multiple programming languages. Whether you are a beginner learning to code or a developer facing a complex problem, Codex can assist in writing scripts, functions, or even entire programs.
For instance, Codex can convert natural language requests like “Write a Python script to scrape weather data” into working code. Additionally, it supports languages such as Python, JavaScript, Java, C++, and more. This AI agent is invaluable for boosting developer productivity, automating routine coding tasks, and providing educational support.
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Operator: The Hands-On Execution Agent
While Codex focuses on coding, the Operator AI agent handles task execution in real environments. This means Operator can interact with files, APIs, databases, or even perform web browsing actions as permitted. For users, Operator bridges the gap between AI-generated solutions and real-world application by actually running code snippets, retrieving live data, or managing workflows.
For example, if you want to automate file organization or execute a batch of commands on your local system, Operator can do it securely and efficiently. Its ability to interface with external systems makes it a practical assistant for automation, testing, and data manipulation tasks.
Deep Research: The Knowledge-Seeking AI Agent
The third AI agent, Deep Research, specializes in gathering and synthesizing up-to-date, detailed information. Unlike the standard ChatGPT model, which is limited to its training data cut-off, Deep Research can access the web (within limits) and databases to provide the latest facts, statistics, and analysis.
This agent is ideal for users needing comprehensive research support. Whether it’s pulling recent scientific findings, current events, or industry-specific data, Deep Research helps create accurate and timely reports or summaries. Journalists, analysts, and students benefit greatly from this AI agent’s ability to dig deeper beyond static knowledge.
How the 3 AI Agents on ChatGPT Work Together
One of the most exciting aspects of these AI agents is their complementary functionality. Users can leverage Codex to write a program, have Operator execute and test it, then employ Deep Research to gather any additional data needed for context or decision-making.
For example, imagine you are developing a market analysis tool. Codex can generate the code to analyze datasets, Operator can fetch live market data and run the code, and Deep Research can provide the latest financial news and trends to enhance the report. This integrated workflow showcases how the 3 AI agents on ChatGPT combine strengths for a seamless user experience.
Practical Use Cases for the 3 AI Agents on ChatGPT
- Software Development:
Codex writes and debugs code, Operator tests the code in real-time, and Deep Research pulls in documentation or API references to assist development. - Data Analysis and Automation:
Operator automates data extraction and file management, Codex processes and analyzes the data with custom scripts, and Deep Research offers insights and background research. - Academic and Market Research:
Deep Research provides updated information and references, Codex helps format the findings into reports or presentations, and Operator manages the data files or databases involved.
Benefits of Using the 3 AI Agents on ChatGPT
Together, these agents increase efficiency, reduce errors, and save time by automating complex and multi-step tasks. They enable users without specialized skills to accomplish technical work and access cutting-edge knowledge effortlessly.
Moreover, their collaboration empowers creative problem-solving by combining coding, execution, and research in a single AI-powered workflow. As a result, ChatGPT users can tackle a broader range of projects than ever before.