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

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.

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

Deep Research is an agentic capability in ChatGPT that conducts multi-step online research to solve complex tasks, delivering a fully cited comprehensive report in minutes, which would take a human many hours.

Deep Research's ability to train end-to-end allows it to adapt flexibly to live web information, making it capable of creative searches and generating insightful responses.

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

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.