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6 Game-Changing AI Research Tools for Streamlining Your Workflow

6 Must Have AI Research Tools to Try

In the rapidly evolving world of research, AI research tools have become indispensable assets for streamlining workflows and enhancing productivity.

Among the plethora of AI tools available, a select few stand out as game-changers that researchers can rely on daily.

This article will delve into six AI research tools that have proven their worth and explore how they can revolutionize the way researchers approach their work.

We strongly recommend that you check out our guide on how to take advantage of AI in today’s passive income economy.

1. Chat GPT Plus: The Ultimate AI Research Assistant

Chat GPT Plus, with its access to the advanced GPT-4 model, has emerged as an essential AI research tool for researchers across various disciplines.

Its ability to process and generate human-like responses makes it an invaluable asset for a wide range of research-related tasks.

One of the most significant advantages of Chat GPT Plus is its ability to work with the information provided by the user, eliminating the need for it to scour the internet for additional data.

This feature proves particularly useful when dealing with sensitive or confidential research material.

By feeding Chat GPT Plus with relevant information, researchers can leverage its capabilities to generate summaries, create formatted tables, and even assist with writing tasks.

The tool’s versatility and ease of use make it a go-to choice for researchers looking to streamline their daily workflows.

Integrating Chat GPT Plus with other productivity tools, such as Text Blaze, further enhances its usability.

By setting up custom commands and templates, researchers can automate repetitive tasks and save valuable time.

Whether it’s generating introductions, formatting research papers, or even learning a new language, Chat GPT Plus can adapt to a researcher’s specific needs.

2. Code Interpreter: Simplifying Data Manipulation

The introduction of the Code Interpreter feature in GPT-4 has been a game-changer for researchers working with large datasets.

This AI research tool excels at extracting information from Excel documents and converting data into structured formats.

Researchers often face the challenge of dealing with data from various sources, each with its own formatting quirks.

Code Interpreter simplifies this process by allowing users to input a set of instructions and let the AI handle the heavy lifting.

For instance, a researcher can provide a large dataset and request Code Interpreter to tabulate the information into a clean and organized Excel spreadsheet.

This automation saves countless hours of manual data manipulation and formatting, allowing researchers to focus on analysis and interpretation.

3. Scite Assistant: The Science-Focused AI Research Tool

When it comes to scientific research, Scite Assistant stands out as an unbeatable AI research tool.

Its ability to provide full-text answers from millions of research articles makes it an invaluable resource for researchers in various scientific fields.

Scite Assistant’s user-friendly interface allows researchers to ask simple questions and receive comprehensive responses backed by reliable scientific literature.

This AI research tool proves particularly useful when exploring new research topics or seeking evidence to support hypotheses.

In addition to its question-answering capabilities, Scite Assistant offers assistance with writing tasks.

Researchers can leverage the tool’s knowledge base to gather relevant information and insights to enhance their scientific writing.

Whether it’s crafting an introduction, developing a literature review, or discussing research findings, Scite Assistant can provide valuable support throughout the writing process.

4. Hey GPT: Overcoming Character Limits and Expanding Research Possibilities

While Chat GPT Plus is an excellent AI research tool, researchers may sometimes encounter character limits that hinder their ability to input large amounts of information.

In such cases, Hey GPT serves as a powerful alternative, offering expanded capabilities for research tasks.

Hey GPT allows researchers to chat with audio, YouTube videos, websites, and even local files.

This versatility makes it an ideal tool for processing and analyzing large volumes of data from various sources.

Researchers can select multiple websites, upload files, and even utilize Google search results to provide Hey GPT with the necessary context for answering complex questions or generating insights.

One of the key advantages of Hey GPT is its ability to store files locally and temporarily.

This feature proves particularly useful when working with sensitive or confidential research data.

Researchers can upload their files, process them using Hey GPT’s AI capabilities, and then discard the data once the task is complete, ensuring the security and privacy of their research materials.

5. Elicit: The Free AI-Powered Research Companion

Elicit has become a go-to AI research tool for researchers, offering a free and user-friendly platform for scientific inquiry.

Its ability to provide quick answers to scientific questions makes it an invaluable resource for researchers in their daily work.

One of the standout features of Elicit is its ability to process and extract information from user-uploaded PDFs.

Researchers can create their own library of papers and documents, allowing them to ask specific questions and retrieve relevant information from their curated collection.

This feature proves particularly useful when working with niche or specialized research topics.

Elicit’s workflow options further enhance its usability for researchers.

Users can generate concept tables, synthesize information from multiple sources, extract data from PDFs, and even find relevant scientific research papers.

While some advanced features may require credits, the free version of Elicit remains a powerful tool for everyday research tasks.

Its user-friendly interface and extensive knowledge base make it an essential addition to any researcher’s toolkit.

6. Literature Mapping Tools: Navigating the Research Landscape

Navigating the vast landscape of scientific literature can be a daunting task for researchers.

However, AI-powered literature mapping tools like Lit Maps and Connected Papers have emerged to simplify this process and provide valuable insights into the relationships between research papers.

Lit Maps stands out for its intuitive layout and the ability to control the X and Y axes, allowing researchers to visualize the connections between papers in a meaningful way.

This tool proves particularly useful when exploring a new research topic or seeking to understand the evolution of a specific field over time.

Connected Papers, on the other hand, excels at providing quick and efficient literature searches.

Its derivative works and prior works buttons allow researchers to easily identify papers that have cited a seed paper or explore the foundational research that led to a particular study.

This feature proves invaluable when seeking to understand the current state of research or identifying gaps in the existing literature.

By combining the use of literature mapping tools with other AI research tools like Elicit or Scite Assistant, researchers can quickly identify relevant papers, extract key information, and synthesize insights to inform their own research projects.


In conclusion, the six AI research tools discussed in this article – Chat GPT Plus, Code Interpreter, Scite Assistant, Hey GPT, Elicit, and literature mapping tools like Lit Maps and Connected Papers – have the potential to revolutionize the way researchers approach their work.

By leveraging the power of artificial intelligence, these tools streamline workflows, automate repetitive tasks, and provide valuable insights that would otherwise be time-consuming or difficult to obtain.

However, it is important for researchers to explore and experiment with these AI research tools to determine which ones best suit their specific needs and workflows.

While some tools may prove invaluable for certain research tasks, others may not be as relevant or useful.

Researchers must build their own toolkit of AI-powered solutions that complement their unique research requirements and enhance their productivity.

As the field of AI continues to evolve, it is likely that even more sophisticated and specialized AI research tools will emerge.

Researchers who stay informed about these developments and actively incorporate AI into their daily work will be well-positioned to take advantage of the many benefits these tools offer.

By embracing AI research tools and integrating them seamlessly into their workflows, researchers can unlock new possibilities, accelerate their research progress, and ultimately make more significant contributions to their respective fields.


Which is the best AI tool for research?

There is no single “best” AI tool for research, as the most suitable tool depends on your specific research needs and preferences. However, some of the most popular and versatile AI research tools include:

  • Chat GPT Plus: A powerful language model that can assist with various research tasks, such as summarizing information, generating tables, and aiding in writing.
  • Scite Assistant: A science-focused AI tool that provides full-text answers from millions of research articles.
  • Elicit: A free, user-friendly platform that offers quick answers to scientific questions and can extract information from user-uploaded PDFs.

Ultimately, the best AI tool for your research will be the one that aligns with your workflow and helps you achieve your research goals most effectively.

How can AI be used as a research tool?

AI can be used as a research tool in several ways:

  1. Information retrieval: AI tools can help researchers quickly find relevant papers, articles, and other resources based on specific keywords or topics.
  2. Data analysis: AI can process and analyze large datasets, identifying patterns, correlations, and insights that might be difficult for humans to detect.
  3. Literature mapping: AI-powered tools like Lit Maps and Connected Papers can help researchers visualize the relationships between papers and navigate the research landscape more efficiently.
  4. Writing assistance: AI language models can aid in drafting research papers, generating summaries, and even suggesting improvements to writing style and clarity.
  5. Question answering: AI tools like Elicit and Scite Assistant can provide quick, accurate answers to scientific questions, drawing from vast databases of research literature.

Which AI can write a research paper?

While AI tools can assist in various aspects of writing a research paper, such as generating summaries, providing relevant information, and offering suggestions for improvement, they cannot autonomously write a complete, high-quality research paper. The most effective approach is to use AI as a supportive tool, with the researcher guiding the process, providing input, and ensuring the final output meets the necessary standards of quality and originality.

Some AI tools that can aid in the research paper writing process include:

  • Chat GPT Plus
  • Scite Assistant
  • Elicit

However, it is essential to remember that the researcher must always maintain control over the content and ensure that the paper adheres to academic integrity standards.

Is there a free AI to find research papers?

Yes, there are several free AI-powered tools that can help researchers find relevant research papers:

  1. Elicit: This free platform allows users to ask scientific questions and receive answers drawn from a vast database of research literature. It also enables researchers to upload their own PDFs and extract information from them.
  2. Connected Papers: While not exclusively an AI tool, Connected Papers uses machine learning algorithms to help researchers visualize and navigate the citation network of a given research paper, making it easier to discover related papers and trace the development of ideas within a field.
  3. Semantic Scholar: This free, AI-powered research tool uses machine learning to extract key information from research papers, making it easier for users to find relevant papers based on specific topics or keywords.

These tools can serve as valuable starting points for researchers looking to explore a new topic or find relevant papers in their field, without incurring any costs.

We strongly recommend that you check out our guide on how to take advantage of AI in today’s passive income economy.