Google Gemini AI is used for common, basic digital assistant queries such as asking about the weather and the time. Often there are conflicting responses from Google Home, Google Home Mini, and the phone, as if they are not synchronized or competing against each other.
We have implemented real-time data streaming and analysis tools in Gemini. We have used them to develop complicated systems such as a tender valuation system and a vision tool to classify images on real-time data. The performance is good.
I have used that recently to create test cases for my scenarios. I have prompt engineering skills, so it is easy for me to get the right response which I use in my project. I have used it for creating my test cases. I gave the prompt about how I could have the steps as I was new to the tool at that time and was not knowing how much time it would take for me. I got the response indicating the time required to learn and apply the skills. When I used the prompt to create test cases and added them to the project, I received good feedback indicating I had covered all positive and negative scenarios. Most of the inputs are acceptable. It will give the correct response, but we need to have appropriate skills. For example, if we are not sure about our question or what desired output we need, if it is not a valid question, we will not receive the correct solution. The process requires natural language processing skills and knowledge for all prompts. I use ChatGPT on a daily basis. It is available on my phone and I use it for basic daily chores such as food recipes and other tasks, apart from technical work. I have also used ChatGPT to create test cases. I have compared responses from Gemini and ChatGPT and received similar results but presented differently. Every tool has its uniqueness. It is good, and I am enjoying using both tools, but most often I use ChatGPT because I haven't used Gemini recently. In initial stages, when using without prior experience, we must have basic understanding and prompt engineering skills. It will work for others even if they do not have skills from an IT professional perspective. Normal people can use it to improve their English or grammar. They can give prompts and expect sentences without grammatical mistakes. This way it is very helpful for normal people as well.
Principal Data Architect at a computer software company with 201-500 employees
Real User
Top 5
Jul 9, 2025
Right now, the main use cases for Gemini involve mostly doing experimentation on agentic AI use cases, context understanding, making sure that the context is clearly understood, and then in RAG-based applications. The role that we use Gemini for is mostly doing the heavy lifting on different agentic AI work that we do. For example, context understanding, making sure that it generates the right result, interpreting it, summarizing it, all those things.
Product Manager for Marketing and Strategy at a tech vendor with 10,001+ employees
Real User
Top 20
Jun 20, 2025
My use cases for Google Gemini are largely towards market research where I generate reports and understand the market, and there is a clear differentiator with Google Gemini that wasn't there earlier with other LLMs, specifically that it does a better job with real-time searches of content because it has access to Google's search results. I use it for creating market research reports, planning strategies, and analyzing spreadsheets since my role involves a lot of market strategy and planning how to enter a new market. When it comes to integrating Google Gemini with other Google products, it integrates well, including on Google Sheets where you can ask questions. I think it's available there, but I'm not sure about Word. Using it on the spreadsheets integrates seamlessly because they have the Google Suite available. Regarding the real-time data streaming analysis tools of Google Gemini, I find them effective, as these are foundational LLMs fed with data sets every day, and I tend to shuffle between three or four different LLMs, including Google Gemini. From my experience, Google Gemini stands out for real-time data analysis and factual information.
I am aware of Google Gemini translation tools, but I haven't used them. They don't impact my work as all my work is done in English, so I don't need any kind of translation. I've been using the API model of Google Gemini to do integrations. I use the tool to make decisions on the next step through the API to Google Gemini, which helps make my software smarter. I can make decisions based on what kind of information I need to extract and parse. Based on Google Gemini, I make my software easier to integrate and easier to make decisions, because I don't have to think about all the details. I just focus on what is important for me.
Senior Consultant at a outsourcing company with 201-500 employees
Real User
Top 5
May 13, 2025
I use Google Gemini ( /products/google-gemini-reviews ) for summarizing content and troubleshooting; it has helped script and build apps. That's really what I've used it for.
I use and actively participate in Google Gemini research, specifically the Gemini 2.5 pro-research model. I conduct strategic and tactical research in various areas.
Director at a tech services company with 501-1,000 employees
Real User
Top 10
Mar 17, 2025
I use Google Gemini for creating emails, organizing documents, extracting data from large files, summarizing data for final conclusions, and data analysis.
Google Gemini AI integrates into Google Workspace for productivity, leveraging multi-modal capabilities to optimize tasks in text, image, and data handling. It balances cost and performance, enhancing operations through seamless real-time data processing and intelligent assistance.Google Gemini AI is designed to enhance productivity through its integration with Google services, providing smart solutions for text writing, automated workflows, and image generation. It supports efficient data...
Google Gemini AI is used for common, basic digital assistant queries such as asking about the weather and the time. Often there are conflicting responses from Google Home, Google Home Mini, and the phone, as if they are not synchronized or competing against each other.
We have implemented real-time data streaming and analysis tools in Gemini. We have used them to develop complicated systems such as a tender valuation system and a vision tool to classify images on real-time data. The performance is good.
I have used that recently to create test cases for my scenarios. I have prompt engineering skills, so it is easy for me to get the right response which I use in my project. I have used it for creating my test cases. I gave the prompt about how I could have the steps as I was new to the tool at that time and was not knowing how much time it would take for me. I got the response indicating the time required to learn and apply the skills. When I used the prompt to create test cases and added them to the project, I received good feedback indicating I had covered all positive and negative scenarios. Most of the inputs are acceptable. It will give the correct response, but we need to have appropriate skills. For example, if we are not sure about our question or what desired output we need, if it is not a valid question, we will not receive the correct solution. The process requires natural language processing skills and knowledge for all prompts. I use ChatGPT on a daily basis. It is available on my phone and I use it for basic daily chores such as food recipes and other tasks, apart from technical work. I have also used ChatGPT to create test cases. I have compared responses from Gemini and ChatGPT and received similar results but presented differently. Every tool has its uniqueness. It is good, and I am enjoying using both tools, but most often I use ChatGPT because I haven't used Gemini recently. In initial stages, when using without prior experience, we must have basic understanding and prompt engineering skills. It will work for others even if they do not have skills from an IT professional perspective. Normal people can use it to improve their English or grammar. They can give prompts and expect sentences without grammatical mistakes. This way it is very helpful for normal people as well.
Right now, the main use cases for Gemini involve mostly doing experimentation on agentic AI use cases, context understanding, making sure that the context is clearly understood, and then in RAG-based applications. The role that we use Gemini for is mostly doing the heavy lifting on different agentic AI work that we do. For example, context understanding, making sure that it generates the right result, interpreting it, summarizing it, all those things.
My use cases for Google Gemini are largely towards market research where I generate reports and understand the market, and there is a clear differentiator with Google Gemini that wasn't there earlier with other LLMs, specifically that it does a better job with real-time searches of content because it has access to Google's search results. I use it for creating market research reports, planning strategies, and analyzing spreadsheets since my role involves a lot of market strategy and planning how to enter a new market. When it comes to integrating Google Gemini with other Google products, it integrates well, including on Google Sheets where you can ask questions. I think it's available there, but I'm not sure about Word. Using it on the spreadsheets integrates seamlessly because they have the Google Suite available. Regarding the real-time data streaming analysis tools of Google Gemini, I find them effective, as these are foundational LLMs fed with data sets every day, and I tend to shuffle between three or four different LLMs, including Google Gemini. From my experience, Google Gemini stands out for real-time data analysis and factual information.
I am aware of Google Gemini translation tools, but I haven't used them. They don't impact my work as all my work is done in English, so I don't need any kind of translation. I've been using the API model of Google Gemini to do integrations. I use the tool to make decisions on the next step through the API to Google Gemini, which helps make my software smarter. I can make decisions based on what kind of information I need to extract and parse. Based on Google Gemini, I make my software easier to integrate and easier to make decisions, because I don't have to think about all the details. I just focus on what is important for me.
I use Google Gemini ( /products/google-gemini-reviews ) for summarizing content and troubleshooting; it has helped script and build apps. That's really what I've used it for.
I use and actively participate in Google Gemini research, specifically the Gemini 2.5 pro-research model. I conduct strategic and tactical research in various areas.
I use Google Gemini for creating emails, organizing documents, extracting data from large files, summarizing data for final conclusions, and data analysis.
I have been using Google Gemini as a general conversation tool with multi-modal functions like AI OCR.