Prototyping has increased by fifty times, so earlier we were taking approximately two and a half to three months to build a prototype, but now it is just a matter of wrapping up the application based on Google Gemini AI API key. The workflow has completely shifted to become more prompt-focused in my agency, where we pass certain things to Google Gemini AI API key and expect results from it. Prompting in the right manner gets the right result. The prototyping time has cut down from two months to just two or three hours. Productivity has increased four times on research and coding tasks. Gemini Pro's one million token context handles the full project specifications. Personally, during my one hundred-day journey, it saved approximately sixty plus hours across twenty-five different projects that I built over time. Google Gemini AI has helped me tremendously with prototyping. The YouTube Optimizer project I built for clients in my freelancing journey had every data point grounded with Google search. Every time clients give us reviews, it leads to beautiful outcomes because they see real changes in the number of views and likes. Projects built using Google Gemini AI have been exceptionally successful. The recent addition of Nano Banana and VO3 helped me integrate cool imagery on websites, making a significant difference in the UI. Clients have been happy about it. Earlier, a lot of time was spent on graphic design elements that clients requested. Now with Google Gemini AI, which has multi-models including image, video, and chat, I use the image model to generate cool images that clients are asking for and integrate them rapidly into the website. This has significantly reduced the prototyping time and reliance on graphic designers. The time saved for a web agency with fewer developers has been tremendous because we no longer need to depend on graphic designers and researchers to figure out niche audiences. Instead, we rely on Google Gemini AI to obtain niche audience mentality, build applications, create images, and create marketing content with VO3. We have the Google Ecosystem plus Vertex AI for enterprise control. I would advise others to open Google AI Studio, start building applications, chat with the models, and try using multi-models including image, video, and chat models. In chat, there are different models like 1.5 Flash, 3 Pro, and 2.5. I recommend switching between these models to see how they respond to the same prompt. Everyone should utilize their free tier access and API keys to build applications. It is tremendously useful because it is available for free. Google Gemini AI also helps individuals who are non-experts easily create projects; it comes down to the type of problem presented and the conversations with Google Gemini AI. I gave this review a rating of nine out of ten.
My relationship with Gemini is as a user. They have another partner through whom they bill, and we utilize it to develop AI applications. Gemini is not purchased through the AWS marketplace. It is obtained directly through a Google partner. For a corporate account, they have partners through whom you can acquire it. Based on my experience, I would rate Gemini overall eight out of ten.
I have not tried that yet. I haven't used it to that extent. I have not explored that yet. I have not used the advanced version yet. I have explored what was available for me in the free versions. I use ChatGPT more often, but in some situations, I have used Gemini and gotten good results for my use cases. I have also used the suggestions which I received from it and it has given me positive responses. I have basic understanding of this. It is a good tool. Even beginners can use it. For IT professionals, if we get dedicated code, there should be a version specifically for IT professionals who can give input and get desired output for coding parts. Users can definitely try the free version which is available for everyone. If they want more privacy and advanced features, they can pay and try that as well to get more detailed answers. The free version is good, but the main consideration is using our prompts. We cannot use any coding in online mode due to privacy concerns. I prefer using the advanced paid version which has more privacy for all IT-related work. I do not have much knowledge about machine learning algorithms as I have not recently worked with them. I worked for more than six months on that in my previous project. Review Rating: 8/10
Principal Data Architect at a computer software company with 201-500 employees
Real User
Top 5
Jul 9, 2025
My advice or recommendation to other users who are looking into Gemini is that there are many options available, but from its core capabilities, especially multimodal capabilities, and from the agentic AI framework, Gemini is doing very well from that perspective. On a scale of 1-10, I rate Gemini a 9.
Product Manager for Marketing and Strategy at a tech vendor with 10,001+ employees
Real User
Top 20
Jun 20, 2025
I currently work at Oracle, so most of the tools we use are in-house and we don't use many third-party tools. However, one tool which comes into use quite a bit for us is Seismic, which I just started using. Seismic is a sales enablement tool that integrates with Salesforce, and as I am on the marketing side of things, we use this tool for providing enablement collateral for sales enablement. Personally, I use Figma as an open-source tool. After AI has come in, I largely rely on AI for most things and we have Oracle's own copilot. As an Oracle employee, I don't directly work with any Google solutions for AI or Microsoft, but we have Oracle's own AI interface that takes APIs from different LLM models, so we consume ChatGPT, Google Gemini, and Cohere through Oracle's interface built for us. I have not used scalable ML models, as I don't directly deal with the engineering side of things. I have not used Google Gemini on-premises; everything I've used has been through existing Google servers. For the pricing of Google Gemini, you can find it online; I've not used the paid version, but I know ChatGPT's paid versions aren't very expensive and I find the pricing model satisfactory for users. I don't use Google Gemini through AWS Marketplace as I'm an Oracle employee, so we use it through OCI, which is Oracle Cloud Infrastructure, a competitor of AWS. My rating for Google Gemini is 8 out of 10.
To hallucinate is when the model lies to you. Sometimes the responses are lies because it starts to imagine things which are not real. That's a hallucination. It's similar to being on drugs. I would rate Google Gemini as an eight.
I recommend using multiple frontier models for different tasks. Larger LLM providers offer specialized models; for instance, I use Google Gemini 2.5 research for research purposes. I rate the overall solution an 8 to 9.
Director at a tech services company with 501-1,000 employees
Real User
Top 10
Mar 17, 2025
I recommend Google Gemini for its user-friendly interface and continuous improvement. However, the price may be a barrier for some users. Overall, I rate Google Gemini as an eight out of ten.
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...
Prototyping has increased by fifty times, so earlier we were taking approximately two and a half to three months to build a prototype, but now it is just a matter of wrapping up the application based on Google Gemini AI API key. The workflow has completely shifted to become more prompt-focused in my agency, where we pass certain things to Google Gemini AI API key and expect results from it. Prompting in the right manner gets the right result. The prototyping time has cut down from two months to just two or three hours. Productivity has increased four times on research and coding tasks. Gemini Pro's one million token context handles the full project specifications. Personally, during my one hundred-day journey, it saved approximately sixty plus hours across twenty-five different projects that I built over time. Google Gemini AI has helped me tremendously with prototyping. The YouTube Optimizer project I built for clients in my freelancing journey had every data point grounded with Google search. Every time clients give us reviews, it leads to beautiful outcomes because they see real changes in the number of views and likes. Projects built using Google Gemini AI have been exceptionally successful. The recent addition of Nano Banana and VO3 helped me integrate cool imagery on websites, making a significant difference in the UI. Clients have been happy about it. Earlier, a lot of time was spent on graphic design elements that clients requested. Now with Google Gemini AI, which has multi-models including image, video, and chat, I use the image model to generate cool images that clients are asking for and integrate them rapidly into the website. This has significantly reduced the prototyping time and reliance on graphic designers. The time saved for a web agency with fewer developers has been tremendous because we no longer need to depend on graphic designers and researchers to figure out niche audiences. Instead, we rely on Google Gemini AI to obtain niche audience mentality, build applications, create images, and create marketing content with VO3. We have the Google Ecosystem plus Vertex AI for enterprise control. I would advise others to open Google AI Studio, start building applications, chat with the models, and try using multi-models including image, video, and chat models. In chat, there are different models like 1.5 Flash, 3 Pro, and 2.5. I recommend switching between these models to see how they respond to the same prompt. Everyone should utilize their free tier access and API keys to build applications. It is tremendously useful because it is available for free. Google Gemini AI also helps individuals who are non-experts easily create projects; it comes down to the type of problem presented and the conversations with Google Gemini AI. I gave this review a rating of nine out of ten.
The overall review rating for this product is 6 out of 10.
My relationship with Gemini is as a user. They have another partner through whom they bill, and we utilize it to develop AI applications. Gemini is not purchased through the AWS marketplace. It is obtained directly through a Google partner. For a corporate account, they have partners through whom you can acquire it. Based on my experience, I would rate Gemini overall eight out of ten.
I have not tried that yet. I haven't used it to that extent. I have not explored that yet. I have not used the advanced version yet. I have explored what was available for me in the free versions. I use ChatGPT more often, but in some situations, I have used Gemini and gotten good results for my use cases. I have also used the suggestions which I received from it and it has given me positive responses. I have basic understanding of this. It is a good tool. Even beginners can use it. For IT professionals, if we get dedicated code, there should be a version specifically for IT professionals who can give input and get desired output for coding parts. Users can definitely try the free version which is available for everyone. If they want more privacy and advanced features, they can pay and try that as well to get more detailed answers. The free version is good, but the main consideration is using our prompts. We cannot use any coding in online mode due to privacy concerns. I prefer using the advanced paid version which has more privacy for all IT-related work. I do not have much knowledge about machine learning algorithms as I have not recently worked with them. I worked for more than six months on that in my previous project. Review Rating: 8/10
My advice or recommendation to other users who are looking into Gemini is that there are many options available, but from its core capabilities, especially multimodal capabilities, and from the agentic AI framework, Gemini is doing very well from that perspective. On a scale of 1-10, I rate Gemini a 9.
I currently work at Oracle, so most of the tools we use are in-house and we don't use many third-party tools. However, one tool which comes into use quite a bit for us is Seismic, which I just started using. Seismic is a sales enablement tool that integrates with Salesforce, and as I am on the marketing side of things, we use this tool for providing enablement collateral for sales enablement. Personally, I use Figma as an open-source tool. After AI has come in, I largely rely on AI for most things and we have Oracle's own copilot. As an Oracle employee, I don't directly work with any Google solutions for AI or Microsoft, but we have Oracle's own AI interface that takes APIs from different LLM models, so we consume ChatGPT, Google Gemini, and Cohere through Oracle's interface built for us. I have not used scalable ML models, as I don't directly deal with the engineering side of things. I have not used Google Gemini on-premises; everything I've used has been through existing Google servers. For the pricing of Google Gemini, you can find it online; I've not used the paid version, but I know ChatGPT's paid versions aren't very expensive and I find the pricing model satisfactory for users. I don't use Google Gemini through AWS Marketplace as I'm an Oracle employee, so we use it through OCI, which is Oracle Cloud Infrastructure, a competitor of AWS. My rating for Google Gemini is 8 out of 10.
To hallucinate is when the model lies to you. Sometimes the responses are lies because it starts to imagine things which are not real. That's a hallucination. It's similar to being on drugs. I would rate Google Gemini as an eight.
I would recommend Google Gemini to others. I would rate Google Gemini 8 out of 10 overall.
I recommend using multiple frontier models for different tasks. Larger LLM providers offer specialized models; for instance, I use Google Gemini 2.5 research for research purposes. I rate the overall solution an 8 to 9.
I recommend Google Gemini for its user-friendly interface and continuous improvement. However, the price may be a barrier for some users. Overall, I rate Google Gemini as an eight out of ten.
I rate the overall solution as eight out of ten.