How-To: Generate a Podcast with NotebookLM for Syndication using RSS

In the last two editions of this newsletter, I introduced two AI Agents—the OPML, RSS, and Atom Reader, and the Data Twingler for SQL, SPARQL, and GraphQL query execution—both created declaratively by describing their desired behavior in natural language. This week, I want to highlight Google’s NotebookLM, which offers a powerful solution for summarizing notes and presenting them as a two-person podcast.

The Problem

Effectively communicating complex, nuanced topics to your audience means delivering content in their preferred format. For most people, that means video first, followed by audio, and then text. In the age of GenAI, tools like NotebookLM make it easier than ever to streamline this process and tailor your message for maximum impact.

How to create a podcast using NotebookLM

Perform the following steps:

1. Collate notes and topic references (e.g., hyperlinks)
2. Feed the collated material into NotebookLM
3. Wait a few minutes for NotebookLM to generate a podcast
4. Listen to the initial version
5. Tweak the material (add or remove content as needed)
6. Listen to the revised edition
7. If satisfied, add the podcast to an RSS or Atom feed

Using our Virtuoso platform, which includes a WebDAV-based file system manager called the “Briefcase,” you can effortlessly save your audio files (.wav or .mp3) to a publicly accessible folder. Simply use the CTRL + Context menu key sequence to select the “RSS” or “Atom” icons that appear and copy the URL of the automatically generated feed in either format. From there, share the feed via your preferred publication channels—whether on social media or other platforms. It’s that simple and efficient!

Back to the OPML, RSS, or Atom Reader Assistant (or AI Agent)

As demonstrated in the GIF below, subscribing to the generated RSS or Atom feed can be easily handled by our OPML, RSS, and Atom Reader AI Agent.

Additionally, to overcome the hesitation people may have about clicking on links in shared content, you can record a video of the podcast playback and upload it to YouTube. This way, you can embed the podcast link in content shared across social media platforms, making it more accessible to a wider audience.

Here’s a practical example of this workflow: the Hyperlinks and Data Meshing podcast, which showcases how complex topics can be effectively communicated using audio, delivered as a two-person podcast session by industry analysts.

Conclusion

AI advances are rapidly unfolding across multiple fronts. Just a month ago, producing and publishing a podcast was a time-consuming task. Today, it’s as simple as collating notes and passing them to an AI Agent, which generates a podcast that can easily be packaged as an RSS or Atom feed. The process becomes even more streamlined when leveraging Virtuoso’s WebDAV-based file system for feed generation and publication. Additionally, the RSS Reader Agent provides a conversational interface that simplifies subscribing to podcasts.

Links:

• Hyperlinks and Data Meshing Podcast RSS Feed GIF
• Hyperlinks and Data Meshing Podcast
• RSS Feed for Podcast Collection Generated using NotebookLM
• Atom Feed for Podcast Collection Generated using NotebookLM
• AI Use Case Example: Solving News Reading Challenges via OPML, RSS, and Atom Feeds Processing
• OpenLink Data Twingler AI Agent Example