The two most recommended AI projects for investment researchIn the cryptocurrency industry, the new projects that emerge every day may include the explosive wealth password. So project research is particularly important. In the era of AI, you must be proficient in letting AI experts do research. However, our choices are still very flexible, including GPT, claude, perlexity, or manus, and so on. Today, we will introduce AI, Gemini, and Grok that are worth mastering in project research. 1）Gemini Gemini is an AI big model developed by Google, and its biggest advantage is inheriting Google's powerful network search capabilities, which can search for the most comprehensive reference materials. In addition, the performance of the newly released Gemini 2.5 is already on par with Claude/openAI, so its project research results are better than other large models. The second major advantage of Gemini is that it can export Google Docs with just one click, and Google Docs can be stored in Notebooklm. This means that you can have Q&A sessions with research reports, as well as summarize and study other materials. Gemini certainly has practicality because it relies on online search, so new projects with limited online resources are not suitable for it. 2）Grok Gemini is more suitable for large projects, but there may not be enough information for very new MeMe. So we still need a second AI, Grok. The advantage of Grok lies in its exclusive X data, which plays a significant role in the cryptocurrency industry. Because the main information about projects in the cryptocurrency industry is on Twitter. And Grok is completely free, with no cost. 1 Gemini After the Gemini website, https://gemini. ((google.com))/。 We will list the @ parkdotfi project promoted on the recently popular @ Cookie3_com. After entering the website, a simple input is required: Please study the blockchain project Spark Protocol in detail. Gemini has two options for presenting: The first option is not to open Deep Research, which results in faster reporting speed. Suitable for quickly understanding the general outline of the project The second method is to open Deep Research and conduct in-depth research. The advantage of Gemini is that there is no need for special prompts, just like in the picture, you just need to say, please study the blockchain project in detail. Gemini will specify a detailed report outline, and once you agree, it will begin its research. The duration of Deep Research is relatively long, and the report provided is particularly detailed. The research results of Deep Research can be exported to Google Docs, which can then be imported into NotebookLM. Ask and answer questions about the project at any time along with other materials. NotebookLM is also a very useful AI product produced by Google, which supports users to import materials including Google documents, YouTube videos, website links, PDFs, etc. AI will answer your questions based on the imported data. The advantage of this is that there will be no illusion of a large model. The important lesson here is to add blockchain before the project name to avoid duplication with other names. Gemin's Spark report, if interested, you can take a look: https://docs. ((google.com))/document/d/10WuS-UXdol-C-tqr6z0lSOnIOf4jJIllbcPNJUBdopE/edit? tab=t.0 2 Grok Grok is a large model launched by Musk's AI company, and its performance is basically on par with openAI. But I recommend it because only it has Twitter data. The official website of Grok is: https://(grok. com)/. It can also be easily found on the Twitter page and is completely free. It is best to open Deep Research when asking questions. Its time is much shorter than that of Gemini, which may be due to the much lower search volume on the internet. My experience is that Grok prioritizes searching the internet by default, so I want it to use X's data. It's better to tell it that X's data needs to be used as the answer. My user experience is that Grok's report is not as detailed as Gemini's, but the quality is still decent and can provide a general understanding of the project. And it is faster and has unique Twitter data.