ChatGPT Intelligent Entity

A New Era Begins: OpenAI Launches ChatGPT Agent, Leading a Revolution in AI from "Interlocutor" to "Executor"

In July 2025, a new chapter in the history of artificial intelligence development was turned. Under the global spotlight, OpenAI officially unveiled its revolutionary product—a live stream hosted by CEO Sam Altman—ChatGPTThe mystery surrounding ChatGPT Agent has been unveiled. This is not a simple feature update, but a profound paradigm shift. At the launch event, Altman clearly stated that the Agent represents a new level of capability for AI systems. It is no longer merely a passively responding dialogue partner, but a "digital employee" capable of proactively thinking, planning, and utilizing computer resources to seamlessly execute complex, multi-step tasks. This landmark launch marks the beginning of the era of AI Agent applications, propelling generative AI through a crucial leap from "intelligent assistant" to "reliable executor."

The unity of thought and action: a revolutionary advancement of ChatGPT intelligence.

The creation of ChatGPT is not a pipe dream, but rather the inevitable result of OpenAI's long-term technological accumulation and strategic planning. To understand its revolutionary nature, we must trace back to its technological roots and examine its groundbreaking achievements at the industry benchmark level.

From Segmentation to Fusion: The Evolution of Operator and Deep Research

Before the advent of intelligent agents, OpenAI had two cutting-edge research projects running in parallel, representing two important directions in AI capabilities. One was "Operator," which focused on giving AI the ability to interact with web-based graphical user interfaces (GUIs), acting like a remote operator that could click buttons, fill out forms, and browse web pages. The other was "Deep Research," which excelled at integrating, analyzing, and refining deep information, capable of reading massive amounts of text and generating high-quality research reports. However, both systems had limitations: while Operator could "act," it lacked the ability to "think" deeply and write complex reports; while Deep Research could "think," it could not interact with websites that required login verification or dynamic interaction to obtain first-hand data.

The core breakthrough of intelligent agents lies in the unprecedented deep integration of these two capabilities. OpenAI has specifically assembled a unified team of elite researchers dedicated to creating a unified intelligent platform that can both think and act. Just as... Related news reports This integration enables the ChatGPT agent to seamlessly switch from abstract reasoning and planning to specific web page operations within a coherent workflow, achieving a closed loop of "understanding, analysis, and execution."

End-to-end unified model: The essence of technological path transcendence

The deeper revolutionary aspect lies in its unique technological implementation path. Many so-called AI Agent products on the market today are essentially more like "external stitching," that is, connecting a large dialogue model with multiple independent tools (such as browser plugins and code interpreters) through complex engineering methods. While this model is usable to some extent, it often suffers from problems such as response latency, loss of context, and poor collaboration between tools.

ChatGPT agents, on the other hand, have chosen a more challenging but potentially more promising path—emphasizing an end-to-end training method to directly internalize agentic capabilities into a unified model specifically developed for agentic tasks. According to OpenAI's official system card The model, belonging to the same series as GPT-4o, has undergone targeted reinforcement learning, giving it an innate ability to plan complex tasks and select and coordinate the use of multiple tools. This means that the agent's actions are not rigid script calls, but dynamic and intelligent decisions based on a deep understanding of the task. This "model-as-agent" concept is considered a more solid step towards Artificial General Intelligence (AGI), allowing us to glimpse the future prototype of end-to-end general intelligent agents.

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A leap in performance: Breaking records in top benchmark tests

Empty talk about technology is no substitute for real-world testing data. At its launch event, OpenAI announced a series of impressive benchmark results, comprehensively validating the industry-leading position of the ChatGPT agent. In the comprehensive ability assessment, often referred to as "Humanity's Last Exam" (HLE), the agent achieved a single-answer accuracy of 41.61 TP3T, surpassing many top models, including Grok-4. When employing a parallel inference strategy, its score further increased to 44.41 TP3T, demonstrating powerful problem-solving capabilities.

In the FrontierMath benchmark test, which demands extremely high logical reasoning skills, the agent improved accuracy to 27.41 TP3T by calling its built-in terminal tools to run code for assisted calculations. On the data science task DSBench, its analysis and modeling accuracy reached 89.91 TP3T and 85.51 TP3T respectively, far exceeding the human average. These impressive figures eloquently demonstrate that the ChatGPT agent is not merely a concept demonstration, but a powerful productivity tool that has achieved substantial breakthroughs in both efficiency and accuracy. You can visit [link to relevant website]. ChatGPT Smart Agent Official WebsiteTo gain a deeper understanding of the technical details and vision behind it.

Unlock a new automation experience: A guide to the functions and usage of ChatGPT intelligent agents.

Advanced theories must ultimately be translated into practical user experience. ChatGPT's intelligent agent is designed with ease of use and user control in mind, allowing ordinary users to easily master its powerful automation capabilities while ensuring the entire process is safe, transparent, and controllable.

Start your AI automation journey: Simple and intuitive operation process

To experience the efficiency revolution brought by Agent Mode, the process is surprisingly simple. First, you need to log in to your OpenAI account. In the familiar ChatGPT interface, you will find a new option in the drop-down menu of the message composition toolbar – “Agent Mode”.

Once you switch to this mode, you can begin issuing complex instructions in the most natural language. Let's imagine a real scenario: As a market analyst, you need to prepare a competitive analysis report for next week's strategy meeting. You simply type:“Please help me research the activities of our main competitors (Companies A, B, and C) over the past three months, summarize their new product launches, marketing activities, and media reports, and compile them into a first draft of a PPT containing key data charts.”

Once the command is submitted, something amazing happens. A workflow window appears in real time on the left side of the screen, clearly showing every step the agent is performing: from planning tasks, accessing websites, and analyzing news releases, to calling data analysis tools and creating PPT documents. The whole process is like having a tireless super assistant working efficiently on your virtual computer, while you, like a director, monitor the progress at any time and intervene when necessary.

Core Functions Revealed: The Powerful Toolbox of the Intelligent Agent

Supporting the intelligent agent in completing these complex tasks is its built-in, highly intelligent toolbox. It can autonomously determine and invoke the most suitable tools based on task requirements.

• Visual Browser: This is the core tool for intelligent agents to interact with the modern internet. It can "understand" and operate the graphical user interface like a human, accurately executing actions such as clicking buttons, filling out forms, and browsing websites. This means tasks like booking flights and online shopping can be automated. You can... ChatGPT Intelligent Agent Official Feature Demo Page Watch videos of the intelligent agent smoothly operating various websites.
• Text-based browser: When the task focuses on efficiently extracting information from large amounts of text, such as reading academic papers or analyzing legal documents, text browsers come in handy, processing plain text content at extremely high speeds for efficient reasoning and information filtering.
• Terminal tools: This is a "Swiss Army knife" designed for more advanced and technical tasks. Through the terminal, the intelligent agent can run code, perform complex data cleaning and statistical analysis, and even download and manipulate local files, becoming a powerful assistant for data scientists and developers.
• APIs and Connectors: The power of the intelligent agent also lies in its open ecosystem integration capabilities. Through OpenAI Connectors, it can securely connect to your personal or team applications, such as Google Drive, Microsoft 365, Notion, etc., to achieve cross-platform data integration and automated workflows, truly breaking down application silos.

User sovereignty is paramount: interruption, takeover, and dispatch at any time.

While endowing AI with strong autonomy, OpenAI ultimately returns control firmly to the user. At any point during the AI's task execution, you can click the "Interrupt" button to pause its work. If you are required to manually enter a password or perform human verification, the AI will proactively request "browser takeover," returning control to you. For tasks that need to be performed periodically, you can also set them to run automatically, completely freeing you from repetitive tasks. For more detailed operating tips, please refer to [link/reference]. ChatGPT Official Help Center。

Open ecosystem: pricing schemes, security strategies

The success of a revolutionary product depends not only on its technological strength, but also on the rationality of its business model, the reliability of its security and privacy, and its clear positioning within the industry ecosystem. OpenAI has also made thoughtful arrangements in these aspects.

Flexible and inclusive pricing strategy

To ensure that the widest possible user base can benefit from the intelligent agent, OpenAI has adopted a multi-tiered payment model to precisely match the needs of different users:

• Plus and Team plans: Priced from $20 and $25 per person per month respectively, these two plans are ideal for individual advanced users and small teams, providing 50 smart agent task credits per month.
• Pro version (Beta): Priced at $200 per month, this plan is designed for developers and heavy professionals, offering up to 400 tasks per month and priority technical support.
• Enterprise and Education Solutions: It adopts negotiated pricing and is geared towards large enterprises and educational institutions that require large-scale deployment and deep customization.

In addition, for usage exceeding the fixed limit, users can purchase additional services flexibly. For the most accurate details on the plan, please visit [website address]. ChatGPT Agent Pricing and Solutions Official Page。

Security and privacy

As Ultraman emphasized, powerful capabilities must be accompanied by powerful responsibilities. OpenAI places security and user control at the core of its intelligent agent design and has built a multi-layered defense system:

1. Clear authorization and risk control: For all operations that could have real consequences, such as online purchases or submission of personal information, the intelligent agent must obtain the user's explicit authorization. At the same time, the system is pre-set with strict prohibited areas, and will proactively refuse to execute high-risk tasks such as bank transfers.
2. Robust technical protection: OpenAI has invested significant resources in researching and defending against "malicious suggestion injection" attacks targeting AI. In areas with extremely high potential risks, such as biological and chemical safety, models are managed according to the highest level of security framework to prevent misuse.
3. User data sovereignty: Users have absolute control over their data. Temporary data such as browser sessions and cookies generated by the AI agent while performing tasks will not be stored by OpenAI, and users can delete it at any time with a single click. For more detailed privacy and security commitments, you can... OpenAI Security and Privacy Policy Center Found it.

Industry Ecosystem Overview and Future Outlook

The release of ChatGPT agent has undoubtedly dropped a bombshell on the entire AI agent field, intensifying its competition with products such as Google's Gemini, Anthropic's Claude, and Microsoft's Copilot. In comparison, ChatGPT agent has established a significant advantage thanks to its end-to-end unified model and powerful general-purpose task execution capabilities.

It is foreseeable that future competition will revolve around the model's execution capabilities, the openness of the ecosystem, and the vertical depth of scenarios. In any case, the emergence of ChatGPT intelligent agents has already painted a clear picture of the future: human-machine collaboration will no longer be limited to knowledge transfer through question-and-answer sessions, but will evolve into goal-oriented collaborative execution.

Whether you're a business manager handling massive amounts of data and automatically generating reports, a researcher dedicated to complex literature retrieval and data analysis, a content creator seeking inspiration and efficiency, or even an ordinary individual hoping to delegate daily tasks to AI, ChatGPT's intelligent agent opens a door to ultimate efficiency and high automation. The tide of technology is rolling forward, and an era belonging to "AI intelligent agents" has officially begun. Now, let's explore. ChatGPT Smart Agent Official WebsiteExperience firsthand this ongoing productivity revolution.

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