Think of using NotebookLM side-by-side with other apps as amplifying their potential. This AI tool can summarize data, pull key points, and provide new insights that the original app may not be able to offer. Here are some apps that work better when paired with NotebookLM.
Toggl Track helps users monitor time spent on tasks, but it lacks analysis capabilities. By feeding its logs into NotebookLM, you get better insights into how your time is spent. The app pairs well with Toggl Track for this purpose.
Zotero is a research tool that collects and organizes sources, but it doesn’t analyze them. With NotebookLM’s integration, you can summarize entire collections, pull key points from old sources, or compare different authors’ perspectives, turning your Zotero library into an interactive research assistant.
Windows Notepad is a minimalist text editor, ideal for jotting down ideas or writing drafts. By feeding its files into NotebookLM, raw notes become actionable and congruent, allowing you to extract key points, group related ideas, or generate new prompts.
Readwise collects and revisits reading materials but lacks analysis capabilities. The app pairs well with Readwise when using NotebookLM’s integration to analyze highlights and notes, generating better insights from your saved content.
Using NotebookLM with everyday apps can make them more useful by providing additional insights and functionality. Try pairing these basic tools with the AI to enhance their performance.
Source: https://www.xda-developers.com/apps-go-from-basic-to-brilliant-pairing-with-notebooklm