[2025 Latest] Complete Guide to ChatGPT Agent Features - How Autonomous AI is Transforming Business¶
Introduction¶
On July 17, 2025, OpenAI announced the "ChatGPT Agent Feature," marking a revolutionary evolution from conversational AI to autonomous execution AI. This new capability transforms ChatGPT from a simple conversation partner into a business partner capable of autonomously executing complex tasks.
This article provides an in-depth explanation of the internal mechanisms of this innovative feature, concrete use cases, and its future impact on business.
What is the ChatGPT Agent Feature?¶
Fundamental Differences from Traditional ChatGPT¶
Traditional ChatGPT was a conversational AI that provided "answers" to user questions. However, the new agent feature is an autonomous AI that "thinks and acts."
Traditional ChatGPT: - Question → Answer pattern - Text-based information provision - User decides the next action
ChatGPT Agent: - Instruction → Autonomous execution → Deliverable provision - Actual website manipulation, file creation - AI automatically executes multiple steps
Overview of New Features Released in July 2025¶
The ChatGPT Agent is a unified agent system integrating three advanced technologies:
- Operator: Website interaction capabilities
- Deep Research: Information synthesis and analysis capabilities
- ChatGPT: Dialogue and reasoning capabilities
This integration enables automation of the entire workflow from "research → analysis → execution → deliverable creation" in a seamless flow.
Usage Limits by Plan¶
- Pro users: Nearly unlimited task execution
- Plus/Team users: Up to 50 tasks per month (additional usage possible)
- Enterprise/Education: Availability scheduled for July 2025
Note: Currently unavailable in the European Economic Area (EEA) and Switzerland (expansion planned)
Deep Dive into Internal Operation Mechanisms¶
Integrated Agent System Architecture¶
The ChatGPT Agent operates in a dedicated virtual computer environment, fluidly switching between reasoning and action while processing complex workflows from start to finish.
Kua (Computer Using Agent) Model¶
The new agent feature is powered by OpenAI's latest model, "Kua." Kua is based on traditional large language models (such as GPT-4) with additional training in the following capabilities:
- Visual recognition: Ability to "see" screen contents
- Operation execution: Ability to "operate" mouse and keyboard
Technical Components and Toolbox¶
The ChatGPT Agent exists not as a single function but as a "toolbox" containing multiple tools. The AI automatically selects and combines the optimal tools based on the nature of the task.
Main Tool Configuration:
- Text browser: For rapid information gathering
- GUI browser: Visual browser with images and layout (for complex site operations)
- Terminal: Code execution environment
- API connection: Integration with external services
- ChatGPT connector: Access to Gmail, Google Drive, etc.
Workflow Integration Mechanism¶
By seamlessly integrating "Operator's execution capabilities" and "Deep Research's analytical capabilities" and acquiring the ability to use diverse tools according to the situation, it has enabled automation of the entire workflow from "research → analysis → execution → deliverable creation" in a unified flow.
Specific Scope of Autonomy and Performance¶
Performance Proof through Benchmarks¶
1. Investment Banking Task Benchmark¶
In modeling tasks at the level of 1-3 year analysts at investment banks, such as creating three-statement financial models for Fortune 500 companies and building leveraged buyout models, it achieved performance significantly exceeding traditional deep research and o3.
2. BrowseComp¶
In the benchmark measuring browsing agent capabilities to find hard-to-locate information on the web, it achieved a new record of 68.9% (17.4 points higher than deep research).
3. WebArena¶
In the benchmark evaluating the ability to complete real-world web tasks, it achieved performance surpassing o3-powered CUA (the model driving Operator).
Security and Control Features¶
OpenAI has designed the system with safety at its core, strengthening the following control features:
- Explicit user confirmation: Seeking permission before executing important actions
- Supervisory mode: Function to request confirmation and approval for critical tasks
- Active risk response: Defense against prompt injection attacks
- Fraud prevention: Robust privacy management and input content protection
Practical Use Cases and Business Applications¶
Excel Creation and Data Analysis¶
Specific Use Cases: - Automation of complex formula creation - Automatic implementation of calculation formulas like "Sales = Cost - Commission - Shipping" - Automatic execution of monthly sheet splitting - Data visualization (graph and table creation)
Actual Instruction Example:
Pick 8 recommended anime from Spring 2025,
and compile them into a spreadsheet including ratings, genres, and broadcasting stations
Document Creation and Presentation Creation¶
Three Efficiency Approaches:
- Creating presentation structure proposals
- Structural proposals from scratch
Building logical flow
Creating text for each slide
- Organizing key points and optimizing expression
Reader-friendly text composition
Automatic generation of diagrams and graphs
- Reading Excel data
- Automatic selection of appropriate visualization formats
Practical Example:
Analyze three competitor companies and compile the results into slide materials
Research and Competitive Analysis¶
Advanced Research Capabilities: - Automatic execution of market analysis - Detailed investigation of competitor companies - Collection and analysis of industry trends - Automatic generation of custom reports
Execution Process: 1. Information gathering on the web 2. Multifaceted data analysis 3. Structured report creation 4. Conversion to visual materials
Shopping Assistant Function¶
Practical Shopping Support:
Plan and purchase ingredients to make a Japanese breakfast for 4 people
For such instructions, it automatically executes: - Menu suggestions - Listing required ingredients - Price comparison and store selection - Purchase procedure support
Other Business Use Cases¶
Calendar Integration:
Check my calendar and brief me on upcoming client meetings
based on recent news
Information Integration and Analysis: - Information integration from multiple data sources - Real-time information updates - Customized analysis reports
Usage Instructions and Practical Guide¶
How to Activate Agent Mode¶
- Start a new conversation in ChatGPT
- Click the "Tool" button on the left side of the chat input field
- Select "Agent mode" (with NEW label)
- ChatGPT's virtual PC screen is shared, allowing visual confirmation of the work process
How to Give Effective Instructions¶
Examples of Good Instructions: - Clearly specify concrete deliverables - Specify necessary information sources - Clarify priorities and constraints
Instruction Example:
Research the latest trends in the IT industry,
create a 10-page report in PowerPoint format
including the trends of 5 competitor companies.
Use information sources primarily from 2025.
Future Prospects and Precautions¶
Technical Possibilities¶
The ChatGPT Agent embodies a fundamental paradigm shift from traditional "conversational AI" to "action-oriented AI." This enables:
- Expanded scope of business automation: From simple tasks to complex analytical work
- Advanced decision-making support: Consistent support from data collection to proposals
- Focus on creative work: Liberation from routine work
Points to Note¶
- Accuracy verification: Verification of results is necessary for important work
- Privacy management: Be careful when handling confidential information
- Adjusting dependence: A collaborative attitude is important rather than complete dependence
Impact on Business¶
With the advent of the ChatGPT Agent, the following changes are anticipated:
- Dramatic improvement in work efficiency: Automation of complex tasks
- Changes in skill requirements: Increased importance of AI utilization capabilities
- Creation of new working styles: Human-AI collaboration models
Conclusion¶
The ChatGPT Agent feature is not merely a feature addition but a technology that transforms the very way we interact with AI. The paradigm shift from traditional "question → answer" to "instruction → execution → deliverable" is expected to significantly improve business efficiency and creativity.
To effectively utilize this new technology, it is important to learn how to give appropriate instructions, not neglect result verification, and build a collaborative relationship with AI. As we enter the era of autonomous AI, let's actively utilize this technology to enhance business competitiveness.
The information in this article is as of July 2025. Please check the OpenAI official website for the latest features and limitations.