• AI Fire
  • Posts
  • 🧠 Step-by-Step Tutorial: Hermes AI Agent Got a NEW Research Brain with NotebookLM

🧠 Step-by-Step Tutorial: Hermes AI Agent Got a NEW Research Brain with NotebookLM

Build a simple AI research workflow that helps you collect knowledge, reuse notebooks, and turn research into scripts, emails, reminders, and daily briefings.

Author

Robin Do
June 05, 2026

TL;DR

Hermes AI agent can connect with NotebookLM to help you build a 24/7 AI research assistant. You can use one chat message to query notebooks, create new research bases, retrieve outputs, and turn insights into actions.

NotebookLM handles the research side. It stores sources, answers questions from your materials, and creates summaries, mind maps, infographics, and audio overviews.

Hermes handles the action side. It lets you access NotebookLM from chat, then helps turn research into scripts, emails, reminders, daily briefings, or workflows.

In this article, you’ll learn how the workflow works, how to set it up, what features matter most, and how different users can apply it in real work.

Key points

  • Important fact: NotebookLM can become a reusable knowledge base when you organize sources into focused notebooks.

  • Common mistake: Do not paste cookies, tokens, or API keys into unsafe tools.

  • Practical takeaway: Start with one notebook and one simple prompt before adding automation.

What’s your biggest problem with research right now?

Login or Subscribe to participate in polls.

Introduction

What if your one chat message could turn into a full research workflow?

I tested this with Hermes AI agent and NotebookLM. I asked Hermes to check a NotebookLM notebook about YouTube strategy and give me better principles for writing hooks. Instead of a generic answer, it pulled from the notebook and gave me ideas I could use right away.

Then I asked it to create a new NotebookLM notebook, find useful sources, and bring back research outputs. It handled the process without me opening NotebookLM manually.

Here’s what this workflow can do:

  • Query existing NotebookLM notebooks from chat

  • Create new research notebooks from one message

  • Pull back summaries, infographics, mind maps, and audio overviews

  • Turn research into scripts, emails, reminders, workflows, or daily briefings

That is why Hermes AI agent + NotebookLM is so useful. In this article, I’ll show you how the Hermes AI agent workflow works step by step, how to set it up, and how to use it as a 24/7 AI research assistant.

I. Why Hermes + NotebookLM Works So Well

The best way to understand this workflow is simple:

You’ve reached the locked part! Subscribe to read the rest.

Get access to this post and other subscriber-only content.

Already a paying subscriber? Sign In.

A subscription gets you:

  • • Instant access to 700+ AI workflows ($5,800+ Value)
  • • Advanced AI tutorials: Master prompt engineering, RAG, model fine-tuning, Hugging Face, and open-source LLMs, etc ($2,997+ Value)
  • • Daily AI Tutorials: Unlock new AI tools, money-making strategies, and industry (ecommerce, marketing, coding, teaching, and more) transformations (with videos!) ($3,650+ Value)
  • • AI Case studies: Discover how companies use AI for internal success and innovative products ($1,997+ Value)
  • • $300,000+ Savings/Discounts: Save big on top AI tools and exclusive startup discounts

Reply

or to participate.