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 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 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.

In the medical field, Deep Research can help doctors quickly find relevant literature and clinical trials, saving them time and improving patient care.

The impact of Deep Research is profound, enabling tasks that previously took hours to be completed in minutes, thus allowing users to engage in more complex or numerous tasks.

Deep Research is not about replacing jobs but enhancing knowledge work, allowing professionals to spend less time on information gathering and more on decision-making.

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

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

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.