My Experience with Google AI: Over 7 Problems with Google's AI Tools in 2026
In this article, I share my complete Google AI experience based on actual usage, away from any marketing exaggeration. Google's artificial intelligence has become one of the most searched technical topics on the internet today, especially after Google launched more than 20 AI-powered applications and tools, most notably Gemini, NotebookLM, Google AI Studio, Flow, Jules, Veo, Imagen, and Antigravity IDE.
The marketing idea behind Google AI seems very tempting: a single integrated ecosystem covering almost every need, from writing articles, through programming and web development, to creating AI-generated images and videos. But does reality match this rosy picture?
Through the Google AI experience I have had over a long period, and by using most of its tools for real tasks, I will share in this detailed article on Al-Ankabut for Informatics my frank opinion, supported by actual examples from my own projects. Together, we will learn about what Google AI is, its most prominent tools, the problems I encountered, as well as the undeniable advantages, in addition to a comprehensive comparison with ChatGPT to help you make the right decision.
Table of Contents
- What is Google AI?
- Why did Google launch the Google AI ecosystem?
- The most important Google AI tools
- My personal Google AI experience with Google tools
- Reasons why I consider the Google AI experience disappointing
- Google AI features I experienced myself
- Google AI in specific fields
- Comparison: Google AI vs. ChatGPT
- How to use Google AI correctly?
- Is Google AI worth trying?
- FAQ
What is Google AI?
Google AI is the name Google gives to its complete ecosystem in the field of artificial intelligence, which is a collection of technologies, services, and applications designed to help users, developers, and content creators accomplish various tasks based on generative AI.
These tasks include writing text and articles, creating images and videos, composing music, programming applications and developing websites, data analysis, translation, search, summarizing long documents, and other uses that have become an essential part of daily technical work.
In short, Google's artificial intelligence is not a single tool, but a complete ecosystem of interconnected tools through which Google tries to compete with the leading companies in this field, led by OpenAI, the maker of ChatGPT. You can view the official Google AI ecosystem page here to follow the latest updates directly from Google.
Why did Google launch the Google AI ecosystem?
After the widespread adoption of ChatGPT since the end of 2022, Google found itself facing a real challenge that threatened its position as a leader in technology and search. Many users started relying on ChatGPT to answer their questions instead of the traditional Google search engine.
From there, Google launched massive investments in developing the Gemini models and restructured many of its products to include AI features, such as integrating Gemini into Gmail, Google Docs, Google Drive, and Search itself. The main goal was to catch up with competitors and not lose its market share in the era of generative AI.
Although this strategy makes sense commercially, the sheer number of tools Google has launched does not necessarily mean they are successful or provide an excellent user experience, which I will explain in detail in the upcoming sections of this article.
The most important Google AI tools
Google currently owns more than 20 services and applications aimed at regular users, developers, and content creators alike. Below is a detailed explanation of the most prominent Google AI tools:
Gemini
Gemini is the main assistant in the Google AI ecosystem, and it is very similar to ChatGPT in terms of functionality. It can be used to answer questions, write text and articles, assist in programming, analyze files and images, and accomplish various daily tasks. Gemini is available in several versions that vary in power and speed, in addition to its direct integration with other Google apps.
NotebookLM
An intelligent tool dedicated to summarizing long documents, analyzing notes, and answering questions based solely on the files uploaded by the user. NotebookLM is considered very useful for students and researchers who deal with large amounts of documents and need to summarize them quickly.
Google AI Studio
A platform primarily aimed at developers, allowing them to experiment with different Gemini models, create AI-powered applications, and test them directly before publishing. Google AI Studio is considered one of the most important Google AI tools for programmers who want to integrate AI into their own projects.
Veo and Imagen
Veo is a model specialized in creating videos with AI from simple text prompts, while Imagen is used to create high-quality images based on a precise text description. These two tools are considered some of the most famous Google AI tools for image and video creation among content creators.
Flow, Jules, and Antigravity IDE
Flow helps in creating scenes and visual content creatively, Jules works as a programming assistant specialized in writing, reviewing, and detecting errors in code, and Antigravity IDE is a fully integrated development environment that relies entirely on AI to speed up the process of programming and developing applications from scratch.
Other tools within the Google AI ecosystem
In addition to the previous tools, Google continues to expand the Google AI ecosystem by constantly launching updates and new tools, including features integrated within search, voice assistants, and data analysis tools, in a clear attempt to cover as many needs of users and developers alike as possible.
My personal Google AI experience with Google tools
Generative artificial intelligence spread significantly during 2024, and the real beginning was with ChatGPT, which changed the way many people interact with technology. After a while, Google launched Gemini as a direct competitor, and from there my personal journey with Google's AI tools began.
Like anyone who follows technology closely, I was very excited when I learned that Google, with its long experience and huge capabilities, was entering this field strongly. I expected an exceptional experience that would outperform competitors, especially with Google possessing massive data and sophisticated search engines. But as time passed, my experience was completely different from what I had initially imagined.
Before writing and publishing this article, I made sure to test most of the AI tools from Google myself in a practical and direct way, so that the Google AI experience I convey to you is based on actual use, not just opinions copied from other sources. I tried creating images, making videos, creating websites, writing articles, and even tools dedicated to programming and development.
Therefore, everything I will mention in the upcoming sections is my personal opinion after using these tools for a relatively long period, and testing them in various tasks that include real projects and not just superficial tests.
The Al-Ankabut for Informatics website itself was the field where I tested most of these tools; from writing draft articles, to editing code inside the site's template, and even trying to create illustrative images for articles. Each of these experiences left a clear impression, whether positive or negative, which I will convey to you with complete honesty in the following lines.
Reasons why I consider the Google AI experience disappointing
Here are the most prominent problems I repeatedly encountered while using various Google AI tools, ranked by their importance and impact on the daily user experience:
1. Google AI subscription prices
One of the first problems I encountered with Google's tools is the subscription prices. The free version is very limited, and you will not be able to take advantage of many of the benefits that Google promotes, such as creating advanced videos, using the best image generation models, or accessing Gemini's full capabilities.
From my experience, I felt that the free version does not reflect the real capabilities that Google talks about in its ads, because most of the important features require subscribing to the paid plan, so you find yourself forced to pay to get an experience closer to what you saw in the presentations.
From my experience: I subscribed to the paid plan in hopes of getting better results in writing articles and video generation, but the difference was not really worth the amount I paid compared to what I expected.
2. Frequent coding errors
One of the tools I was most excited to try was Google AI Studio, as it is considered one of the most famous Google AI tools for programmers. I expected it to help me write code and speed up website development significantly, but after using it in more than one project, the result was completely different from expectations.
I encountered repeated coding errors, and the code often did not work the first time, or required many adjustments before it became usable. Even worse, fixing one problem sometimes led to a new problem in another part of the project, creating a vicious cycle of constant correction.
From my experience: While developing a dashboard for my site, I relied on Google AI Studio to write HTML, CSS, and JavaScript, but after hours of editing I discovered that writing the code manually was faster than correcting the errors the AI created.
3. Poor adherence to instructions
One of the things that bothered me most about Google AI is that it does not always adhere to instructions as they are written, especially in fields like web design and programming. When asking for something specific to be executed, such as designing an interface or editing a specific code, it sometimes changes elements that were not requested to be changed, such as colors or the order of sections, or even deletes entire parts of the project without warning.
This behavior makes reaching a precise result in AI for programmers require repeating the same request more than once, which is very exhausting, especially in large projects that require complete adherence to instructions without any unrequested modifications.
From my experience: I asked more than once to design a homepage matching a reference image in a web design project, but in every attempt it changed basic elements like the layout of the sections or the colors, even though the instructions were very clear and detailed.
4. Inability to create a complete project
Through my experience using Google AI tools for programmers, they cannot be relied upon to create a complete project from beginning to end without significant human intervention. They may be useful in writing parts of the code or supporting ideas in template development, but they face real difficulty in connecting all the files together within one cohesive and integrated project.
In projects like creating a Blogger template or developing complete web applications, problems appear such as code incompatibility between files, or the loss of some requirements during development, leading to unstable results that require constant review and careful monitoring from the developer himself.
From my experience: While trying to create a modern and lightweight Blogger template using Google AI, I encountered repeated problems in the code and design within the template development project, and in the end I had to complete the work manually because correcting the errors became more time-consuming than building the project from scratch itself.
5. Too much praise and little criticism
One of the most notable observations I had with Google AI is that it tends to flatter more than providing a real and objective analysis, especially in areas like SEO and article review. It often describes work as excellent or professional even when it contains obvious errors that anyone experienced could easily notice.
This style does not help much in writing content with AI, because the user needs honest criticism that explains the errors in SEO and heading structure instead of general phrases that do not add any real value to the work.
From my experience: Once I showed it an article within the SEO field that contained clear problems in headings and structure, but it described it as very good without mentioning any errors, and it did not start actual criticism until I asked it to focus only on the flaws directly.
6. Poor understanding of large projects
One of the most prominent problems in Google AI is that the larger the project in the field of application development or website programming, the more it begins to lose the ability to track the complete context of the project. It may forget details that were mentioned earlier in the conversation, or suggest solutions that do not match the general project structure that was agreed upon before.
This leads to real problems in managing software projects, especially when the project contains multiple files or a complex system like dashboards in large application development.
From my experience: While developing a dashboard containing more than 20 files within a software projects project, it sometimes confused the functions of the files or suggested changes that led to the breakdown of other parts of the system, which forced me to review every change manually and carefully.
7. Abundance of inaccurate information
One of the problems I also encountered in Google AI is that it sometimes provides information or code within the field of web development and code review that seem theoretically correct, but upon actual application, they need many adjustments or do not work from the beginning at all.
This makes relying on it directly in JavaScript and CSS projects unsafe, especially in cases that require high precision and speed in execution without a large margin for errors.
From my experience: More than once, it suggested JavaScript and CSS code within Google AI projects that seemed sound at first glance, but after actual testing, I discovered small errors that affected the design and operation of the page, which forced me to search manually and rewrite parts of the code again.
Google AI features I experienced myself
Despite all the problems I mentioned earlier, it cannot be denied that Google AI offers some real positive points, and I felt them myself in more than one situation during my daily use of these tools. This table summarizes its most prominent features, and below it is a detailed explanation of each feature from my actual experience:
| Feature | Benefit |
|---|---|
| Diversity of tools | Google provides tools like Gemini, AI Studio, NotebookLM, Imagen, and Veo to suit writing, programming, and creating images and video. |
| Ease of use | Most tools have simple interfaces that suit beginners and professionals alike without needing great technical expertise. |
| Integration with Google services | Works easily with Gmail, Google Drive, and Google Docs to facilitate daily tasks without the need to switch between multiple applications. |
| Continuous updates | Google adds new features and improves the performance of its tools periodically compared to other competitors. |
| Support for multiple tasks | Can be used for content writing, programming, translation, file summarization, and data analysis within a single ecosystem. |
Diversity of tools in one place
What I really liked is that I no longer needed to switch between dozens of separate sites and applications. When I wanted to summarize a long PDF file, I used NotebookLM directly, and when I needed a quick image for an article, I tried Imagen, and all this within the same Google account I use anyway.
Simple interfaces that do not need explanation
I noticed from the first use that the design of the interfaces in Gemini and AI Studio is direct and clear, and I did not need to read a long user manual to understand how to start. Even someone without a technical background can try Gemini and get an acceptable result from the first attempt.
True integration with Gmail, Drive, and Docs
This for me was one of the most prominent real strengths. While writing a draft for an article inside Google Docs, I was able to call Gemini directly to summarize a paragraph or suggest an alternative wording without leaving the document, which saved me real time compared to copying and pasting between separate applications.
Frequent updates that make a noticeable difference
Throughout my experience, I noticed that Google does not leave its tools without development. I returned to try some tasks weeks after the first failed attempt, and found that part of the problems I encountered earlier had actually improved, even if the improvement was still slower than I had hoped.
One tool for multiple tasks
In one workday, I used Gemini to reply to an email, then moved to AI Studio to review a simple code, and finally used NotebookLM to summarize a report. This diversity of use within a single ecosystem makes Google AI a practical choice for those who want to reduce the number of tools they deal with daily.
Google AI in specific fields
Google AI for programmers
Google AI provides programmers with tools like Google AI Studio, Antigravity IDE, and Jules, which are useful in writing parts of code or reviewing it quickly. But from my experience, full reliance on them in large programming projects still carries real risks that require careful human review for every part of the generated code.
Google AI for article writing
Gemini can be used to write articles with AI and optimize SEO, but as I explained earlier, it tends to flatter rather than provide explicit criticism, which makes manual content review a necessary matter before final publication on any site.
Google AI for image creation
Google AI for image creation relies primarily on the Imagen model, which offers relatively good results in simple creative tasks, but it may face difficulty in executing complex or detailed requests compared to some competitors specialized in this field specifically.
Google AI for video creation
As for Google AI for video creation, it relies on the Veo model, which is a truly promising tool, but the quality of results varies significantly depending on the type of request and its complexity, and it still needs further development to become a fully reliable choice for professional content creators.
Google AI for website creation
As for the field of Google AI for website creation and AI-powered website programming, the experience, as I explained in the previous reasons, is still far from the level required to create a complete project without intensive human intervention at every stage of development.
Comparison: Google AI vs. ChatGPT
One of the frequently asked questions by many users: Is Google AI better than ChatGPT? This table compares the two tools in the most prominent areas of use, based on my personal experience with both:
| Field | Google AI | ChatGPT |
|---|---|---|
| Programming | Needs constant review, and repeated errors in large and complex projects | Better adherence to instructions in most cases, with relatively less frequent errors |
| Article writing | Good style but tends to flatter instead of explicit and direct criticism | Offers varied phrasing with the ability to guide it more accurately towards a certain style |
| Image creation | Imagen offers good results in some simple creative tasks | Also provides powerful image creation tools depending on the version used and subscription |
| Video creation | Veo is a promising tool, but its quality varies depending on the type and precision of the request | Relies on external video tools or specific versions depending on the subscription |
| Prices | Pro and Ultra plans, and the free version is very limited in capabilities | Multiple plans as well, and the value for money varies depending on usage |
| Ease of use | Excellent integration with daily Google services like Gmail and Drive | Simple and direct interface, with more focus on the conversation experience itself |
In general, it can be said that choosing the most suitable tool depends largely on the nature of your use and your actual needs. If you rely daily on Google services like Gmail and Google Docs, Google AI might be a comfortable choice in terms of integration. But if your priority is the accuracy of results and adherence to instructions, you may find in ChatGPT a more stable choice according to my personal experience.
How to use Google AI correctly?
Despite the problems I mentioned in detail, this does not mean that Google's tools are completely bad. In my experience, I found that some of them offer good results in certain tasks, provided you know when to use them, and how to write instructions correctly to get the best possible result.
- Do not rely on it completely, and make it an assistant that saves you time and effort only without replacing your personal expertise.
- Write clear and detailed instructions to get more accurate results and better adherence to what you actually want.
- Review codes and information before using them, especially in important projects or those concerning real clients.
- Use the appropriate tool for each task, as every tool within the Google AI ecosystem has completely different strengths and uses.
- Follow Google AI updates constantly, because the performance of the tools evolves with every new version Google launches.
- Break large projects into small parts when dealing with programming tools, to reduce the possibility of errors resulting from poor understanding of the complete context.
Is Google AI worth trying?
After using most Google AI tools, such as programming tools, content writing, image creation, and video creation, I can say that the Google AI experience was not at the level I expected from a company of Google's size and long technical experience.
I do not deny that Google possesses powerful technologies, and that some of its tools may actually be useful in certain tasks, but in return I encountered many problems, such as frequent coding errors, failure to adhere to instructions, and the difficulty of creating a complete project, in addition to the limitation of the free version and the high cost of subscription compared to what it actually offers in terms of real value.
Therefore, if you are thinking about subscribing to Google AI Pro or relying on Google's tools completely, I advise you first to try the free version and evaluate it yourself practically, then make the subscription decision based on your actual needs and not just marketing ads. As for me, I still see that Google AI needs a lot of development to become a real and strong competitor in all the fields it covers.
FAQ
What is Google's artificial intelligence?
Google's artificial intelligence, known as Google AI, is a complete ecosystem of tools and services launched by Google, including Gemini, NotebookLM, Google AI Studio, and others, to help users in writing, programming, and creating images and video.
Is Google AI free?
Google AI offers a free version, but most advanced features require subscribing to the Google AI Pro or Google AI Ultra plan to fully utilize its capabilities.
Is Google AI suitable for programming?
Google AI can help in writing parts of the code, but it needs careful review and testing before being used in real projects, especially large and complex projects.
What is the difference between Google AI and ChatGPT?
Google AI is characterized by its great integration with Google services, while the capabilities of each tool vary according to the task and version used, as explained in detail in the comparison table above.
Is subscribing to Google AI Pro worth it?
If you use its tools constantly and need the advanced features, the subscription might be suitable for you. For normal and non-intensive use, it is better to try the free version first before paying.
What is the best Google AI tool for programmers?
Google AI Studio and Antigravity IDE are considered the most prominent tools aimed at programmers within the Google AI ecosystem, but they need constant review of the results as I explained in detail in my personal experience.
Can Google AI be relied upon to create a full website?
Not fully at the moment. Google AI can help write parts of the code, but linking the entire project and ensuring its compatibility still requires intensive human intervention in most cases.
Do Google AI tools improve over time?
Yes, Google launches periodic updates to improve the performance of Google AI tools and add new features, but the speed of this improvement is still slower than the expectations of many users, including me personally.
What is the best tool in Google AI for creating images?
Imagen is considered the most prominent option for creating images within the Google AI ecosystem, and it offers relatively good results in a number of simple and medium-complexity creative tasks.
Are Google's AI tools safe to use in professional projects?
They can be used as an assistant that saves time, but it is not recommended to rely on them completely without careful human review, especially in professional projects or those concerning real clients.
The future of Google's artificial intelligence
Despite all the critical observations I mentioned in this article, it is illogical to underestimate the volume of investment that Google is pumping into the Google AI ecosystem. The company possesses huge resources, massive data, and a strong infrastructure that qualifies it to continuously develop its models over the coming years.
It is expected that tools like Gemini, Veo, and Imagen will witness tangible improvements with every new version, especially in the aspect of adherence to instructions and reducing the coding errors I talked about in detail. Also, the increasing integration between Google AI and other Google services like Search and Gmail may make this ecosystem more attractive over time, especially for those who rely daily on Google products in their work.
However, the most important question remains: will Google be able to narrow the current gap between it and competitors in the quality of instruction adherence and result accuracy? The real answer will not appear except with the passage of time and the accumulation of updates, which I will follow personally and share with you in future articles on Al-Ankabut for Informatics.
Conclusion
In the end, this article remains just a personal Google AI experience after using Google's AI tools in programming, article writing, image creation, and video creation. Your experience may differ from mine depending on the nature of your use, your actual needs, and your level of technical expertise.
Have you tried Google AI too? Share your experience in the comments below, and tell us if you agree with my opinion or was your experience completely different? And do not forget to share the article with those who are thinking about subscribing to Google AI Pro before making their final decision.