One thing I've noticed while exploring AI tools is that tool selection matters almost as much as prompting.
A chatbot might be great for brainstorming, but it isn't necessarily the best choice when you're working with a large collection of source documents, creating a presentation, or experimenting with audio.
Here is a simple way to think about Google's AI ecosystem:
| Task | Tool worth exploring |
|---|---|
| Working with research/document sources | NotebookLM |
| Creating structured video content | Google Vids |
| Generative music experimentation | MusicFX |
The interesting part is the workflow rather than the individual products.
For example, if I were researching a technical topic, I could:
- Collect reliable source material.
- Organize it in NotebookLM.
- Ask questions to identify the important concepts.
- Turn the resulting explanation into a structured presentation.
- Experiment with different ways of communicating the same information.
That is a much more useful AI skill than simply knowing a list of tools.
For anyone wanting to explore this workflow further, I've been using a Google AI learning resource that covers NotebookLM, Vids, MusicFX and additional Google AI tools.
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