> ## Content Index
> Fetch the complete content index at: https://www.testingcatalog.com/llms.txt
> Use this file to discover other available public pages before exploring further.

# Google tests Personal Intelligence for NotebookLM conversations
- URL: https://www.testingcatalog.com/google-tests-personal-intelligence-for-notebooklm-conversations/
- Published: 2026-02-07T16:17:31.000Z
- Updated: 2026-02-07T16:17:31.000Z
- Description: Google is testing a “Personal intelligence” layer in NotebookLM, hinting at personalized responses and custom prompts based on chat history.
- Author: Alexey Shabanov
- Tags: NotebookLM, AI Rumours, Latest AI News

Google is testing a “Personal intelligence” layer for NotebookLM, with recent builds showing the option in Settings and also inside per-notebook configuration. The copy suggests NotebookLM can learn from your chats to understand your goals, and it includes a custom prompt field that pre-fills a profile-like description. In the current strings, the default reads like a persona preset (for example: a researcher focused on AI and machine learning who prefers concise, technical explanations with code when relevant), but it is not clear yet whether this is pulled from a broader Gemini profile, inferred from a notebook’s past conversations, or simply a placeholder.

![NotebookLM](https://storage.ghost.io/c/2a/1b/2a1b1782-8506-4d7d-bf53-ad3fb52e2a0f/content/images/2026/02/NotebookLM-02-07-2026_02_02_AM.jpg)

The same wording appears in chat configuration, which hints Google may apply this at two levels: globally for the product and locally per notebook, so different notebooks can behave differently. 

![NotebookLM](https://storage.ghost.io/c/2a/1b/2a1b1782-8506-4d7d-bf53-ad3fb52e2a0f/content/images/2026/02/NotebookLM-02-03-2026_04_44_PM.jpg)

If shipped, this looks like an early step toward a longer-term direction where [NotebookLM](https://www.testingcatalog.com/tag/notebooklm/) adapts to the user over time, similar to how Google has been pushing personalization and memory-like context in Gemini, including bringing in context from other Google surfaces. Even if it only uses prior NotebookLM chats at first, it could change how quickly NotebookLM converges on your preferred tone, depth, and formatting across ongoing research threads.