Deep Research allows users to generate comprehensive reports on topics of interest, significantly enhancing their learning experience.

Deep Research was developed to tackle tasks requiring extensive online research and reasoning, enabling users to efficiently gather information and make informed decisions across various domains.

Deep Research is particularly effective for detailed queries that require extensive reading and understanding of web content to provide accurate answers.

Deep Research has been surprisingly popular for coding tasks, helping users with code searches, documentation, and script writing, which was not initially anticipated as a primary use case. It also excels at synthesizing information and finding specific, hard-to-locate facts on the internet, especially when given detailed descriptions of what users want.

Deep Research is designed to save users significant time, potentially giving back 10% to 25% of their work time, depending on the type of tasks they perform.

Deep Research can embed images and create graphs in its responses, enhancing the quality of information provided, although these features are not yet available for consumer use.

Most users of Deep Research utilize it for professional purposes, including academics and consultants, but it also serves personal use cases like shopping and travel recommendations.

Deep Research is an AI agent that can search multiple online sources to create comprehensive reports, completing tasks that would take humans hours in just 5 to 30 minutes, providing detailed answers with specific sources.

The quality difference among Deep Research products is evident, stemming from the effort put into constructing the datasets and the optimization capabilities of the O Series models.