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Users can now give feedback to customize deep dives, a highly requested feature, says Raiza Martin of the NotebookLM team.
New Customization Feature
As it nears one year, the software drops its “experimental” tag, showing improved stability, user retention, and design.
NotebookLM Matures
Users start by uploading source documents (PDFs, links, or YouTube videos) to Google Labs and selecting a New Notebook.
How to Customize AI Podcasts
An initial AI podcast based on Kafka’s novella provided a broad summary but benefited from specific prompts focusing on alienation and bureaucracy themes.
Real-World Testing Feedback
One of the most exciting aspects is customising podcasts for targeted audiences, such as recent college graduates or even drag queens.
Personalization for Different Audiences
The software may miss details or nuances in complex documents, but it transforms personalized audio from multiple sources.
Limitations and Potential
While the Kafka example highlights literary discussions, this customization could extend to business reports, scientific research, or educational content.
Use Cases Beyond Literature
Generating synthetic podcasts suggests AI-driven tools may reshape how people consume personalized, on-demand audio content.
A Glimpse into Future AI Tools
Encouraging feedback-based iterations means users are part of a collaborative AI experience, which improves each podcast with every adjustment.
User Engagement through Iteration