OpenAI Announces New AI Agent Designed to Assist People Carryout In-Depth and Complex Research

Tech giant OpenAI is releasing a new AI agent that was designed to assist users carry out in-depth and complex research through ChatGPT.

The latest offering dubbed Deep Research is said to be for those seeking extensive knowledge in the domain of science, finance, engineering, and policies. It’s also said to be useful for anyone who needs to make a big investment but needs more in-depth analysis to get that done.

In its latest blog post, the company shared how the latest capability was curated for those doing intensive knowledge such as a vehicle or furniture. So in other words, it’s created for situations where you require an instant summary or reply but instead require more detailed data from several different sources.


OpenAI says it’s giving the latest model to those with ChatGPT Pro today, limited to a few queries every month. After this, it hopes to share the model with users having Team and Plus, and also Enterprise. The tech giant also shared how the launch is geo-targeted. The company had zero release timeline to share for those located in the UK region, including Switzerland, and the EU.

To better use the tool, you just need to select the term Deep Research through the drop-down menu and generate a question. You then have the option to attach files or any spreadsheet. It might take 5 to 30 minutes to provide a reply, and users will be presented with an alert when their search is done.

For now, the tool’s outputs are based solely on text. However, the company does intend to include embedded pictures, analytic outputs, and more data visualizations. Meanwhile, the roadmap also features the option to link more intricate data sources such as those linked to subscriptions and internal sources.

The biggest query right now is levels for precision. AI is more than perfect and could give rise to more hallucinations and different errors that might be dangerous in scenarios related to deep research. This is why the tool will document every output when carrying out deep research. It will entail summaries of the thinking process and outlined citations clearly. This helps in the verification of data and also in the referencing process.

We’ve already seen the ChatGPT on web searches make frequent errors and give misinformation. Furthermore, tests showed how it gave rise to less reliable results in comparison to Google Search for any questions.

The company tried to defend the latest model’s accuracy with the use of o3 reasoning for different AI models. It was also trained through reinforced learning techniques on tasks done in real-time.

Reinforcement learning assists the model through trial and error techniques. As it gets near the goal of producing an answer, it gets virtual rewards to make it more competent for future tasks.

Read next: New Survey Shows Goals and Challenges Small Businesses Have and What they Think of AI
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