AI Fire Weekly Webinar
Hands-on AI workshop for real work use cases every week
51 followers
Hands-on AI workshop for real work use cases every week
51 followers
AI Fire Weekly Workshop is a hands-on session focused on applying AI to real work. Each week, we explore practical use cases such as content creation, workflow automation, AI agents, and productivity systems. You will learn how to structure prompts, build repeatable workflows, and choose the right tools for your needs.
The workshop includes live demos, real examples, and clear frameworks so you can apply AI immediately in your daily work. Suitable for beginners and professionals.
This is the 32nd launch from AI Fire Weekly Webinar. View more
NotebookLM 2.0 Is a Game Changer
Launching today
Google quietly upgraded NotebookLM into something much more powerful than a simple AI summarizer. In this video, I break down how the new agentic NotebookLM workflow can research, analyze data, generate business insights, and turn raw information into usable outputs like reports, roadmaps, slides, and financial plans. I walk through a real business example, show why the old workflow was limited, and give you a practical playbook for using NotebookLM as a research assistant for your business.
Free
Launch Team
Hey Product Hunt 👋
AI is moving fast, but most people do not have time to test every new tool, feature, and workflow by themselves.
That is why we are building AI Fire.
AI Fire is an ecosystem for practical AI updates, tool reviews, tutorials, and workflows that help founders, marketers, creators, and business owners understand what matters and how to use it in real work.
One of our latest updates is a full NotebookLM 2.0 review and test. For a long time, we used NotebookLM like a simple AI summarizer. Upload a PDF. Get a summary. Maybe turn it into notes.
But Google has quietly upgraded NotebookLM into something much more powerful. The new workflow feels closer to an agentic research assistant that can help you research, analyze data, generate business insights, and turn raw information into usable outputs like reports, roadmaps, slides, and financial plans.
So we tested it with a real business example. Inside the update, we break down:
Research: how NotebookLM helps collect and organize useful context.
Analyze: how it turns messy information into clearer business insights.
Create: how it helps turn those insights into reports, slides, roadmaps, and plans.
The biggest shift is this:
The old NotebookLM helped you understand documents.
The new NotebookLM can help you turn information into decisions, strategy, and business assets.
If you want to know more:
NotebookLM 2.0 review and test: https://www.aifire.co/p/notebooklm-2-0-now-creates-powerpoint-and-excel-files
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We are building AI Fire as a place to test new AI tools, explain important AI updates, and turn them into practical workflows you can actually use.
Try it, read the latest update, and tell us what AI tool or workflow you want us to test next.
Best,
The AI Fire team ❤️