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.

Personalized education is a promising use case for Deep Research, as it can compile information on topics users want to learn about, creating tailored reports to aid in their understanding.

Deep research can effectively search the web, identify items that fit specific constraints, and synthesize the information into a comprehensive report.

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 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.

Deep Research excels in providing detailed comparisons and reviews for products, making it a valuable tool for consumers looking to make informed purchasing decisions without spending excessive time on research.

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 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.