The primary users of Deep Research include professionals engaged in knowledge work, such as market analysis, scientific research, and medical inquiries, as well as individuals seeking assistance with personal projects like travel planning.

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 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.

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 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.

The model that powers Deep Research is a fine-tuned version of the O3 model, specifically trained on challenging browsing and reasoning tasks, enhancing its online search and analysis capabilities.

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

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