After unveiling Operator last week, OpenAI has introduced Deep Research, a new AI agent designed for detailed research and analysis. OpenAI unveils this next-gen AI agent designed to enhance productivity across various professional fields. Deep Research utilizes ChatGPT and is powered by OpenAI’s o3 model, optimized for web browsing and Python-based analysis. OpenAI states that the AI agent can extensively browse text, images, and PDFs across the internet using advanced reasoning capabilities.
OpenAI unveils a next-gen AI agent to help professionals in finance, science, and policy with detailed and reliable insights. It is also beneficial for consumers seeking personalized recommendations for high-involvement purchases.
Srinivas Narayanan, OpenAI’s Vice President of Engineering, describes the model as a new approach to AI-driven research. He explains that it can handle complex knowledge-based tasks, saving users hours of manual research. OpenAI emphasizes that Deep Research is designed to deliver well-documented and comprehensive answers like an expert.
How Deep Research Works
Users can access Deep Research through ChatGPT by selecting it from the message composer and entering their queries. The AI agent can analyze various topics, from competitive business reports to product comparisons. Users can also upload files and spreadsheets for additional context.
Once a request is submitted, a sidebar displays the research steps and sources used. Depending on the complexity of the task, the research process can take between 5 to 30 minutes. Users are notified when the research is complete, and the final report is delivered in the chat.
OpenAI highlights that Deep Research focuses on detailed, well-referenced answers, making it ideal for in-depth inquiries. In contrast, GPT-4 remains better suited for real-time, multimodal conversations. Future updates will include embedded images, data visualizations, and analytical tools to improve report clarity.
Deep Research is designed to provide well-documented answers, making it highly useful for professionals who require detailed analysis. By automating research, it reduces the time needed for complex tasks in fields like finance, science, and engineering. This makes it a valuable tool for businesses and individuals seeking reliable insights. However, the accuracy of the results depends on the sources it selects.
Difference Between Deep Research and Operator
OpenAI unveils a next-gen AI agent that can analyze large volumes of data and deliver actionable conclusions quickly. While both AI agents enhance productivity, they serve different functions. Operator is designed for automating repetitive browser tasks such as filling forms, booking reservations, or ordering groceries. It can navigate and interact with web pages but lacks Deep Research’s capability to conduct thorough research.
Deep Research, on the other hand, focuses on high-level reasoning and extensive exploration. OpenAI views both tools as steps toward the broader goal of developing Artificial General Intelligence (AGI).
OpenAI Operator: Availability and Subscription Details
Operator, OpenAI’s first AI agent, was recently launched to handle a wide range of web-based tasks. It can book flights, make dinner reservations, and even generate website code. Currently, Operator is available only to ChatGPT Pro users in the United States. However, OpenAI has confirmed plans to expand access.
During a Reddit AMA, CEO Sam Altman indicated that Operator would be available to ChatGPT Plus users in the coming months. However, no specific timeline has been provided for its rollout beyond the U.S.
ChatGPT Pro is priced at $200 per month, offering unlimited access to OpenAI’s o1 and GPT-4o models, along with advanced voice mode. In contrast, ChatGPT Plus is available at a more affordable $20 per month, with limited access to the o1 model.
With the introduction of Deep Research and Operator, OpenAI continues to push the boundaries of AI-powered automation and research, offering users new tools to enhance productivity and decision-making.
