Deep Research: a new tool for exploring knowledge in depth and generating reports, a new paradigm for subject matter knowledge research given by Google

Deep Research is Gemini The membership feature, which followed 2.0's simultaneous launch, is currently unavailable to domestic users.

As a content creator who often needs to do research and write reports, I recently tried out Google's new Gemini Deep Research feature. To be honest, this tool really gave me a new understanding of the AI research assistant. In this post, I'd like to share with you my real-life experience of using it over the past two weeks.

While there are many tools of its kind, such as AI search tools Basically, you can do in-depth intellectual research thatSTORM It's also a good tool for generating experimental papers, but Deep Research in Gemini is nothing like that.

First experience: surprise with a little doubt

I remember the first time I used Deep Research, I was actually skeptical. After all, I've used a lot of similar AI tools before, and I always felt that the content they gave me was either too shallow or just a patchwork. But when I completed my first research task with Deep Research, I have to say that I was amazed by its performance.

The process went like this: I entered a research topic on "transforms.js" and Deep Research first gave me a research plan that I could modify and confirm. This is especially nice because it allows me to take ownership of the direction of the research, rather than relying on the AI's judgment.

Explore topics and research related content on your own, based on Google's most powerful search library on the planet.

Reports generated at the end of the study

Real life scenarios

Over the past two weeks, I've used Deep Research to complete several different types of research tasks to share a few of my most profound experiences with it:

Writing industry reports is really much faster

Once I had to write a report on the "Development of New Energy Vehicle Charging Pile Industry", which usually takes me a whole day to collect materials. But with Deep Research, it only took me about 15 minutes to get a fairly comprehensive first draft. Even better, the report contains the latest market data and trend analysis, and each data is labeled with a link to the source for my further verification.

academic research saves effort and leads better results

As someone who often needs to access papers, I have found Deep Research to be particularly powerful for academic research. It can not only quickly organize relevant literature, but also provide comparative analysis of different viewpoints. For example, when I researched "the impact of generative AI on the creative industry", the report it gave me covered a variety of views from academia and industry, and even included some research perspectives I hadn't noticed before.

Realistic comparison with other tools

I've been using Perplexity before, and to be honest it's pretty good too. But after comparing them over time, I've realized that Deep Research is really better in a couple of ways:

1. Depth of study:
   The reports generated by Deep Research are significantly more in-depth, not simply a pile of information, but a layered analysis. While the wait time is a little longer (usually 5-10 minutes), the quality of the output is certainly worth the wait.
2. Information integration:
   It's not just a summary of search results, but can actually understand and integrate information. For example, when doing competitive analysis, it will proactively find connections between information from different sources to give more valuable insights.

Tips for use (summarized from stepping on potholes)

After this time of use, I have summarized some useful tips:

1. Questioning techniques:
   In the beginning, I always threw a big topic directly, but later I found that it was more effective to break it down into more specific questions. For example, instead of asking "the development of blockchain", I would ask "the specific application cases and challenges faced by blockchain technology in the financial field".
2. Research Program Adjustment:
   Don't be in a hurry to click confirm, it's important to take the time to review and adjust the research plan. I've come across a few occasions where adjusting the plan has resulted in a study that better meets the needs.

Current shortcomings (tell me about the problems I've encountered)

Using it, I did find some things to gripe about as well:

1. Sometimes it lags:
   Especially when dealing with particularly complex topics, it occasionally encounters exceptionally long loading times. Considering the amount of information it has to process, though, this wait time is acceptable.
2. English Restrictions:
   The fact that only English is supported at the moment is indeed a significant limitation. As a Chinese user, sometimes you need to do some extra translation work. Looking forward to support more languages in the future.

My overall assessment

After using it for two weeks, I think Deep Research is indeed a pretty good research assistant. Its greatest value lies in its ability to significantly improve research efficiency and ensure research quality at the same time. Although there are still some limitations and shortcomings, it is an indispensable tool in my daily work as far as the current performance is concerned.

For those of you who often need to do research and write reports, I recommend trying out Deep Research. it may not be a complete replacement for traditional research methods, but it can definitely make your research more efficient. Remember, it's more of a great assistant than a complete replacement.

In the end, a tool is always a tool, the key still depends on how the user uses it.Deep Research gives us a powerful assistant, but how to make better use of it, we still need to continue to explore and summarize in practice.

Reference Content:

https://blog.google/products/gemini/google-gemini-deep-research/

https://www.youtube.com/watch?v=_mpD0dDL66g