I think there's 2 jobs here. One is "make sense of these documents", which NotebookLM does well and is built around. The other is "I got curious about something and want to listen to it on the go", where you have nothing to upload at all. I built Daybrain for the second one: type the topic, it does the research and everything after, then emails you a few minutes of narrated audio. My own project so obviously biased: https://daybrain.app/?src=77
NotebookLM's biggest advantage isn't that it's another chatbot—it's that it starts with your corpus instead of the internet. That changes the interaction from asking questions to building a persistent knowledge workspace.
I think there's 2 jobs here. One is "make sense of these documents", which NotebookLM does well and is built around. The other is "I got curious about something and want to listen to it on the go", where you have nothing to upload at all. I built Daybrain for the second one: type the topic, it does the research and everything after, then emails you a few minutes of narrated audio. My own project so obviously biased: https://daybrain.app/?src=77
NotebookLM's biggest advantage isn't that it's another chatbot—it's that it starts with your corpus instead of the internet. That changes the interaction from asking questions to building a persistent knowledge workspace.
Still many typo’s in text in figure
Thanks very much. For sharing the details benefits of notebookLM usage