Deep Research: Understanding the Limitations of the Latest Powerful AI Tool for Scholarly Authors
In February 2024, I wrote an AJN Off the Charts blog post titled “Leveraging AI and Technology for Comprehensive Research: Tips for Researchers and Students.” Since then, the field of AI has undergone rapid evolution. It is evident to all of us watching the field develop that companies hosting and developing large language models (LLMs) would eventually target scientific research. In my previous post, I explained that there is no single software solution for conducting research or literature reviews using AI. However, the deployment of new features in AI software platforms, such as deep research capabilities, may mislead us into thinking otherwise. The purpose of this blog post is to introduce the idea of deep research tools, while also providing tips for users who wish to explore these evolving tools.
What is deep research?
Image: Marcus Winkler/Unsplash
Deep research is a term used by LLM software platforms that allow users to enter a prompt to initiate an in-depth process that involves finding, analyzing, and synthesizing “hundreds of online sources to create a comprehensive report at the level of a research analysis” (OpenAI, 2025). There is also a consideration for time using this tool, as the responses are not instantaneous and result time can vary […]



