12 Google AI Tools I’ve Been Exploring
I recently came across a list of 12 Google AI tools, and I found it interesting how each tool focuses on a different use case, from research and productivity to image generation, video creation, development, and marketing.
Here’s my quick review of the tools:
1. Google AI Studio
A useful platform for experimenting with AI models and testing how different prompts influence the output. It can be helpful for refining prompts before building an AI application or chatbot.
2. NotebookLM
One of the tools that stood out to me for research and learning. It can work with documents, PDFs, and transcripts and turn them into summaries, quizzes, and mind maps.
3. Gemini Gems
Useful for creating personalized AI assistants with specific instructions, context, and uploaded files. This could be helpful when you repeatedly use AI for the same type of task.
4. Google Veo 3
A video-generation tool that can create cinematic video clips from creative text prompts and animate static images with realistic motion.
https://deepmind.google/models/veo/
5. Firebase Studio
Designed to help users build and publish AI-powered websites and mobile applications with backend support.
6. Gemini Live
Useful for interactive conversations and getting suggestions in real time. It can also be used as an AI co-presenter during live sessions.
7. Nano Banana
An interesting option for creators who want to edit, refine, and create different versions of AI-generated images.
8. Google Imagen
An image-generation tool that can create visuals from simple prompts. It looks particularly useful for designers, content marketers, and video creators.
https://deepmind.google/models/imagen/
9. Google Pomelli
This one caught my attention from a marketing perspective. It is designed to help businesses generate scalable, on-brand social media campaigns.
10. Google Whisk
Allows you to use images as prompts to visualize ideas and experiment with different creative concepts.
11. Google Opal
A useful concept for people who want to build AI workflows or mini-apps using natural language instead of starting with traditional coding.
12. Google Lumiere
A text-to-video diffusion model designed to generate videos with realistic, diverse, and coherent motion. The research project also demonstrates applications such as image-to-video, video stylization, cinemagraphs, and video inpainting.
https://lumiere-video.github.io/
What I found most interesting is that these tools cover different parts of an AI workflow rather than trying to solve the same problem.
For my own work, I’m particularly interested in exploring Google AI Studio, NotebookLM, Pomelli, Whisk, and Opal more deeply.
Have you used any of these Google AI tools? Which one has been the most useful in your workflow?
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