OpenAI Deep Research: Know All About ChatGPT Agent; How it Use, Access and Capabilities

OpenAI’s Deep Research Mode introduces a powerful AI tool for detailed, multi-step research, offering users the ability to generate thorough reports. Despite its potential, users are advised to verify results, as limitations like misinformation and source reliability remain challenges. Future upgrades promise even more robust features.

Feb 3, 2025, 18:25 IST
Deep Research OpenAI
Deep Research OpenAI

A couple of weeks ago, OpenAI launched an awesome feature inside of ChatGPT called Deep Research Mode, and it allows for multi-step web research to assist its AI and users. So, basically, this new function is an interesting step in how AI helps facilitate research and allows ChatGPT to become much more useful than before.

What is Deep Research Mode?

Deep Research Mode is powered by OpenAI's latest reasoning model, o3, which is specifically optimized for web browsing and data analysis. This mode enables the AI to search, interpret, and analyze vast amounts of information, including text, images, and PDFs, to generate comprehensive reports that approach the quality of a human research analyst's work. This functionality is particularly beneficial for complex inquiries that require thorough investigation and synthesis of diverse data sources.

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How Does It Work?

Unlike standard queries in ChatGPT, which usually produce instant answers, Deep Research queries take a much longer processing time. This could range from 5 to 30 minutes. The user will receive a notification once the research is done so that they can attend to other matters while waiting for the results. For now, the output is text-based; however, OpenAI plans to include embedded images, data visualizations, and other analytical outputs in future updates.

Limitations and Challenges

Deep Research Mode is a giant leap in AI capabilities, but it is not without its challenges. OpenAI admits that the AI can still hallucinate, meaning it may produce false or fabricated information. The system may also fail to distinguish between authoritative sources and unreliable information. These limitations raise important questions about the reliability of the detailed reports generated by the AI.

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There is an encouragement for users to crosscheck the information obtained from Deep Research from the reports by making sure to read the comprehensive sources referenced. This would somewhat negate the ease that an AI agent was meant to offer. The possibility of misinformation implies the critical assessment that will need to be utilized upon using content generated by AI.

Further Upgrades

To make the outputs more robust and personalized, OpenAI is going to connect Deep Research Mode with specialized data sources, which may include subscription-based databases or internal resources. This will improve the quality and relevance of information provided by the AI.

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This marks an important step forward in AI-assisted research for OpenAI in ChatGPT with Deep Research Mode, in which it would be easier to carry out an extensive investigation with a simple tool for both professionals and enthusiasts. Still, one has to keep their eyes peeled on facts while keeping the fact in mind that the generated AI content may be misleading at times. The continuous refining of this technology by OpenAI is bound to lead to more complex and advanced tools, redefining how one researches on the digital front.

Kirti Sharma
Kirti Sharma

Content Writer

Kirti Sharma is a content writing professional with 3 years of experience in the EdTech Industry and Digital Content. She graduated with a Bachelor of Arts and worked with companies like ThoughtPartners Global, Infinite Group, and MIM-Essay. She writes for the General Knowledge and Current Affairs section of JagranJosh.com.

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