Using deep research integration with GitHub, I can analyze pull requests, identify potential improvements, spot bugs, and suggest fixes in minutes.

Performing specific deep research in tools like GitHub can save engineering teams hours of internal research.

Customers wanted to power multi-step research in their own systems, not just on the open web, which led to the integration with GitHub.

In this case, the analysis took about 16 minutes, utilized 49 sources, and conducted 49 searches within the GitHub repository.

Citations are included in Deep Research outputs, allowing users to verify the sources of information, which is essential for building trust in the model's responses.

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