Table of Contents
Complete Guide to ChatGPT Agent Mode – Connectors, Usage, and Important Considerations
Introduction – What is Agent Mode?
In 2025, ChatGPT introduced "Agent Mode" as a new feature. Unlike traditional chatbot functionality, this feature works like actual "hands and feet" by using virtual browsers and command lines on the screen.
However, being a new feature, many people may wonder "What can it do?" or "Are there any risks or limitations?"
In this article, we will organize and explain this new feature based on official information, covering what scenarios it can be used in and what precautions should be taken. As this is a blog article, we will also share the research process we used to gather this information.
Research Methodology – Information Gathering from Official Help and External Blogs
Official Information Verification
First, to obtain accurate information, we checked the latest articles about "ChatGPT Agents" published on OpenAI's Help Center.
These articles provide detailed explanations of Agent Mode overview, available tools, message limits, and connector handling.
External Media Case Study Research
Next, to understand usage methods and examples, we also checked external media such as Chatbase's blog articles and AI Tools Club articles.
These articles introduce multiple use cases and convenient ways to use Agent Mode, making it easier to grasp the actual usage scenarios.
Agent Mode Basic Features
What Can Agents Do for You?
According to OpenAI's explanation, Agent Mode is a feature that handles complex online tasks. It breaks down tasks, creates plans, navigates websites, manipulates files, and creates deliverables while collaborating with external data sources.
Specifically, the following tools are available.
Main Tools Overview
| Tool Name | Capabilities | Description |
|---|---|---|
| Visual Browser | Website browsing, clicking, form input | Just like a regular browser, it can navigate pages, click buttons, and fill forms. When login is required, you can take over the operation mid-process. |
| Code Interpreter | Python script execution, data analysis | Can merge CSV files, generate pivot tables and graphs, and perform programmatic data processing. Export to Excel and PPTX is also possible. |
| Connectors | Search and reference external data from Gmail, Google Drive, GitHub, etc. | Connectors are read-only and can search and quote information from emails, files, and repositories. As mentioned later, editing and writing must be done through the browser. |
| Terminal | Command line operations | Can execute Linux commands for simple processing and file operations. |
Automation Through Tool Integration
Agents switch between these tools as needed to progress through tasks.
💡 Example: When you request "Compare competing products and create slides," it will automatically browse each company's information, analyze necessary data with the code interpreter, load Google Drive materials, and finally generate PPTX files.
Message Limits and Plans
Available Plans
Agent Mode is not available to everyone; it's a feature for paid plans such as Plus/Pro/Business/Enterprise/Edu.
There are also monthly limits on the number of messages you can use. The specific limitations are as follows.
Plan-Specific Limitations
| Plan | Monthly Agent Activations | Notes |
|---|---|---|
| Plus | Approximately 40 times | Only the initial request to invoke the agent is counted; intermediate confirmations and logins are not counted. |
| Pro | Approximately 400 times | Suitable for those who want to request many messages and long-term work. |
| Business/Enterprise | Approximately 40 times (30 credits for Flexible Pricing) | Business plans can use management features such as data management and RBAC. |
Connectors – System for Reading External Data
What Are Connectors?
A key feature of Agent Mode is "connectors" that can search and reference data from external applications like Gmail, Google Drive, and GitHub.
According to OpenAI's help documentation, connectors enable file searches and data references within chat, allowing for deep analysis across multiple sources.
After authentication, results are previewed within the chat interface and displayed with links to the original applications.
Types of Connectors and Usage
| Category | Overview | Main Uses |
|---|---|---|
| Chat Connectors | Connectors suitable for short-term, one-time searches. Ideal for finding individual files in Drive or Box. | Examples include queries like "Show me the Q2 goals in Drive" or "Find last week's roadmap in Box." |
| Deep Research Connectors | High-functionality search that investigates multiple sources at once and generates reports with citations. Suitable for complex tasks like competitive analysis, retrospectives, and code reviews. | Cross-references internal company documents, GitHub repositories, and external web sources to generate comprehensive outputs. |
| Synced Connectors | Connectors that pre-index selected data to improve chat response speed and quality. | Regularly sync frequently referenced materials for quick answers. Note that direct access from Agent Mode is not available. |
| Custom Connectors | Feature for Pro, Business/Enterprise/Edu plans that allows connecting custom applications following OpenAI's MCP (Model Context Protocol). | Used when connecting internal tools or custom applications to GPT. Requires security verification as it's a developer-oriented feature. |
Connector Considerations
Read-Only Limitations
Connectors are tools for information retrieval and cannot perform file updates or email sending.
While you can search GitHub repository contents or reference Google Drive documents, any modifications require switching to browser mode for human operation.
Automatic Usage Feature
GPT-5 has added an automatic usage feature for three connectors: Gmail, Google Calendar, and Google Contacts. Once connected, you don't need to select them each time.
This feature can be toggled on/off from the settings screen.
Plan-Based Availability
Some connectors are available for chat use only, while others support deep research functionality.
For example, GitHub is available even on Plus plans, but Google Drive is only available with deep research functionality. Check which connectors are available for your plan.
Synced Connectors Are Not Directly Accessible
In Agent Mode, you cannot directly access data from synced connectors (like Drive indexing), but you can access Drive through chat or research functions.
What Can Agent Mode Do for You?
Chatbase's article introduces various examples of multi-step tasks that Agent Mode can handle. Here, we've summarized some of these examples.
Main Use Cases
Research → Analysis → Deliverable Creation
Research competing companies, analyze key points, and output as editable slides or spreadsheets. Reports include citations for later verification.
Website Operations
Click buttons and fill forms to proceed with restaurant reservations or product purchases in the browser. When login is required, an announcement appears saying "Please take over the browser," and users input directly.
Data Processing
Execute CSV merging, irregular data formatting, and graph creation using the code interpreter, returning clean Excel or PDF files.
Information Retrieval from Connectors
Read and summarize Gmail emails, search GitHub code to read documentation, or reference Drive materials to proceed with work. Since it's read-only, no sending or writing is performed; subsequent browser operations handle these tasks.
Scheduled Execution (Tasks)
Completed work can be automated daily, weekly, or monthly. For example, you can set up "Run site analysis every Monday at 9 AM, update KPI sheet, and notify."
What Limitations Exist? – Constraints and Security
High-Risk Action Constraints
In Agent Mode, high-risk operations such as payments, transfers, and expensive purchases always require explicit user permission and may be refused in some cases.
Bank transfers and securities trading are not supported under the terms of service, so these tasks must be performed manually.
Task Execution Limitations
According to AI Tools Club's explanation, agent tasks are executed with lightweight models and have limits on the number of tasks that can run simultaneously (approximately 10).
Additionally, some features like voice recognition, file uploads, and custom GPT usage are disabled during task execution. Due to message limits, be mindful of usage counts when continuing long-term work.
Privacy and Security
When agents log into external accounts or access emails and files through connectors, privacy risks are involved.
OpenAI has implemented multiple security measures, including detection and rejection of "prompt injection" attacks from malicious pages.
However, users should also be aware of the following points.
Security Best Practices
- Don't write passwords or secret information in chat – When login is required, always use the "take over browser" feature to input yourself
- Enable only necessary connectors – Turning off unnecessary connectors reduces exposure in case of attacks
- Avoid ambiguous instructions – Vague requests like "process all emails" are dangerous. Specify work content and conditions clearly
- Stop immediately if suspicious behavior occurs – If work content differs from intent, immediately instruct "stop" and disconnect connectors if necessary
- Log out and delete cookies after work – Browser cookies maintain sessions, so develop a habit of deleting them after work completion
How to Use Connectors and Browsers Effectively
In Agent Mode, connectors and visual browsers work complementarily.
Connectors function as read-only "search engines," suitable for quoting email content or document text and searching by filename. On the other hand, browsers are needed for posting or editing content.
💡 Example: "Write" operations like creating GitHub issues or submitting pull requests are performed using browsers, not connectors.
While agents proceed with clicks and inputs on web screens, important operations like sending or merging always require user confirmation. This design ensures security while improving business efficiency.
Workflow Examples and Practical Usage
AI Tools Club's article features numerous specific workflow examples utilizing Agent Mode. Here, we've picked out particularly useful ones.
Practical Use Cases
Inbox Organization and Reply Draft Creation
Use Gmail connector to retrieve unread emails from the past 48 hours and draft concise replies for each. For emails requiring responses, link with calendar appointments to suggest candidate dates and times, significantly improving human email processing efficiency.
Form Input Automation
Open expense reimbursement forms in the browser, read attached PDF invoices or spreadsheet data, and auto-fill forms. When personal authentication is required, users log in and confirm before sending.
Weekly Competitive Intelligence Summary Creation
Combine deep research functionality with web browsing to visit competitor sites, blogs, and news, summarize key points, and set up tasks to generate automatic reports Monday mornings.
Spreadsheet Cleanup
Download multiple CSVs, merge them, remove duplicates, standardize country codes, and return Excel files with pivot tables. Even those unfamiliar with data analysis can clean up data at once.
Meeting Preparation Packet Creation
Read tomorrow's meeting schedule from calendar, reference related documents to create one-page materials summarizing agendas, participant backgrounds, and recent news. Perfect for busy business professionals.
Travel Planning and Booking
Specify budget and itinerary preferences, research flight and hotel options, and complete bookings in the browser after final decisions. Confirmation is always required before approval; automatic payment never occurs.
Effective Usage Tips
When executing these workflows, always clearly communicate objectives and specifically indicate data locations and conditions.
Ambiguous instructions prevent agents from determining what to do, wasting time on unnecessary research.
Conclusion – How Agent Mode Will Change Your Work
Agent Mode is a powerful feature that gives ChatGPT a virtual computer, enabling end-to-end execution of research, analysis, operations, and deliverable creation.
While connectors allow reading information from Gmail, Google Drive, GitHub, and other sources to enhance work, actual writing and payments require user confirmation through browsers to ensure security.
Additionally, by automating routine tasks through the task functionality, you can be freed from daily chores and focus on your core work.
Constraints and Considerations
However, limitations exist, including message limits, plan differences, read-only nature, and task count limits.
It's also important to understand risks like prompt injection and implement security measures such as enabling only necessary connectors.
Moving Forward with Usage
This article has organized and introduced Agent Mode's mechanisms and usage methods, referencing examples from external blogs.
When actually trying it out, we recommend setting up connectors according to your plan and work content, starting with small tasks.
With proper usage, you can significantly improve the efficiency of your daily work.

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