Google notebookLM does display different suggested actions depending on the context! This is because the suggestions are dynamically generated based on what you’ve currently selected or highlighted in your document. The system analyzes the selected text or context and presents you with actions that are most relevant and helpful in that specific situation.
Here are some reasons why you might see different suggested actions:
- Selection type: The type of content you’ve selected influences the available actions. For example, if you select multiple notes, you’ll see actions like “Combine notes” or “Compare notes”, while highlighting text inside a note will offer actions like “Summarize to note” or “Translate”.
- Content analysis: notebookLM analyzes the selected text to understand its meaning and purpose. This allows it to offer actions that are specifically relevant to the content, such as “Create meeting agenda” for emails containing meeting details, or “Extract code” for programming language snippets.
- User history and preferences: Over time, notebookLM learns from your interactions and adapts its suggestions to your workflow. If you frequently use certain actions, they might be prioritized or even pre-selected in relevant situations.
To give you a clearer picture, here are some specific examples:
- Scenario 1: You select a note containing a list of tasks. Suggested actions might include “Create calendar event” for each task, or “Mark all tasks as completed”.
- Scenario 2: You highlight a research paper snippet with references. Suggested actions might include “Find cited papers” or “Generate outline based on reference structure”.
- Scenario 3: You select multiple notes related to a project. Suggested actions might include “Combine notes into document” or “Generate project report”.
Remember, the key takeaway is that notebookLM aims to be contextually aware and offer suggestions that are most helpful and relevant to your current task at hand. By understanding the context and your interaction history, it tailors its suggestions to streamline your workflow and make you more productive.
If you ever encounter suggested actions that don’t seem relevant or helpful, feel free to provide feedback to the notebookLM team. They’re constantly working to improve the system and make it even more intuitive and user-friendly.