Those are important questions. But for me, it starts somewhere else.

For me, it starts with the kid in the attic. Someone with an idea, a computer, music in their head and the need to create something that didn't exist yet. Not because it has to generate revenue straight away. Not because it has to dominate the world. But because the process itself is enjoyable: researching, trying, making mistakes, rebuilding and eventually seeing how separate pieces suddenly come together as one.

That feeling is the driving force behind Play A Note, Video Editor 4.0 and the development of my own local AI environment.

A long road of combining

The combination of technology, music and creativity is not a new identity I adopted because AI is now popular. It is the thread that has run through my life for much longer.

Computers, music, software, visuals, ideas, experiments and building solutions that don't exist off the shelf: it always ran together. Sometimes that became a music production. Sometimes a website, application or technical solution through my development work. Sometimes a video, a visual concept or a combination of camera, greenscreen, sound and editing.

When machine learning became more accessible and the first large chat models appeared, more and more of those separate worlds began to converge. Not all at once, and certainly not without effort. But a new flow emerged: a way to not only conceive ideas, but also take them further technically.

The past two years have therefore not been a straight road towards a single end product. They were years of research, testing, building hardware, writing software, comparing models, optimising workflows and above all: trial and error.

You don't build a local studio at the push of a button

From the outside, generative AI can seem simple. You type a prompt, press a button and an image appears. But anyone who wants to go beyond a single, accidental clip quickly discovers how much is happening beneath the surface.

For consistent characters, usable footage, a personal style, control over the process, good audio, editing, VFX corrections and a story that lasts longer than a few seconds, you need more than one online tool. You need a workflow. Hardware. Storage. Computing power. Knowledge of models. Custom software. And above all, a great deal of patience.

Video Editor 4.0 grew out of that practice: as an independent, local creative production environment in which music, image, AI, camera work, greenscreen, VFX and editing complement one another.

Not to automate human creativity away, but to give it more room to play.

The digital colleague: smart, helpful and sometimes stubborn

An important part of that development is working with an agent and LLMs: a digital companion that can think along, structure, research, help write code and support processes.

But that too is no magic shortcut.

An agent doesn't automatically become smart in exactly your way of working. You build context step by step. You test. You discover where an approach falls short. You rewrite instructions. You make a workflow smaller, clearer or simply smarter. Sometimes an experiment yields results in ten minutes. Sometimes you spend days on a problem whose solution turns out to be surprisingly simple.

That isn't frustrating because it fails; that is the creative and technical process. A studio, instrument or system doesn't become good because everything works immediately. It becomes good because you learn to listen to what goes wrong.

A digital colleague also needs guidance. Not as a replacement for the maker, but as an extension of their workbench.

The new barrier: not the idea, but access

In an earlier article on UtileWebsites I wrote about the great AI shift: the battle is no longer solely about which model is the smartest, but increasingly about who can actually deliver the required computing power.

That has direct consequences for independent makers and developers.

The hardware required for serious local AI workflows is expensive. Not just the GPU itself, but everything around it: system memory, storage, cooling, power consumption, maintenance and the time needed to get everything running stably. Those who opt for cloud solutions avoid part of that investment, but face recurring costs, credits, limitations, changing terms and dependency on external platforms.

It was precisely the affordability of earlier AI steps that made it possible to build gradually: first experiment, then improve one component, then test a new model and slowly shape your own environment. That room to manoeuvre comes under pressure when access to computing power becomes increasingly expensive, scarce or tightly controlled.

That is a shame, because innovation doesn't only emerge in large companies with enormous data centres. Innovation also emerges with independent makers who have an unusual idea, can't let it go and are willing to tinker with it for months or years.

Open models keep the door ajar

That is why developments around new, more accessible models matter. Not because any one region, company or model has all the answers, but because a healthy creative and technical landscape requires choice.

Developments around models from DeepSeek and Kimi, among others, show that the market does not have to be dictated entirely by one closed ecosystem. More competition, more efficient models and accessible alternatives can give breathing room to developers, small studios, researchers and makers who want to keep experimenting.

That in no way undermines my admiration for American models, researchers and hardware innovation. On the contrary: the technical achievements of parties such as OpenAI, Google, Anthropic and NVIDIA are impressive and have made much of this development possible.

But admiration does not mean that dependency is always healthy.

When access to creativity, research and development is determined primarily by who can pay the highest price, the playing field shrinks. AI then risks transforming from a new creative tool into a closed toll road.

Technology is not an end goal

Of course there are economic interests. Of course AI is geopolitical. Compute chips, energy, data, models and infrastructure are part of power and money. That is the reality.

But for a maker, there is another reality.

The desire to build something. The joy of an unexpected solution. The first time an idea actually works. A melody that suddenly falls perfectly beneath exactly the right image. A character that remains believable throughout a video. A technical system that, after dozens of failed attempts, finally does what you had in mind.

There is something childlike in that, in the best sense of the word: curiosity without cynicism. Playing because playing has value. Making because making moves you.

More possessions, more servers, more models or more money do not automatically mean more happiness. Technology only becomes valuable when it creates space for human imagination, connection and expression.

From experiment to story

Productions within Play A Note are growing slowly. Where short experiments were once the starting point, productions are now emerging that can sustain several minutes: with music, structure, atmosphere, editing and a visual world of their own.

The next challenge is not to produce as much content as possible. It is to make larger stories possible. A first mini-film is not an endpoint, but it is a meaningful next step: a work in which the technology does not demand attention, but is entirely in service of the story.

That is ultimately the purpose of my own "Hollywood in a Box". Not a factory for quick images. Not a machine that replaces the human. But an independent creative workshop in which one idea can grow into music, image, story and a complete audiovisual production.

The soul writes. Technology is the pen.

And yet, as of today, an official Oranje World Cup hit of my making is live on YouTube, TikTok, and Instagram.

How did that happen? The short answer: a spontaneous stress test of my own, custom-built AI Video Studio 4K that got completely out of hand. The long answer? That hits the exact core of why AI is nowhere without human craftsmanship – and an enthusiastic colleague.

The spark on the work floor

Next to my creative projects at Play A Note, I work a few days a week as a programmer within a great team at a tech company. When I recently told a colleague at the office that I had built an advanced AI Video machine in my own time, the spark caught on instantly.

We are right in the middle of the World Cup season, and his programmer's brain immediately switched into creative mode: "If you really want to test that software, let's do it right. Time for a World Cup song, I'll be the avatar!"

In no time, a serious tech conversation turned into a creative pressure cooker. I put my custom-built engine & agent to work. The software generated the visuals in crisp 4K quality, the audio was tightened up, and his virtual avatar did exactly what it was supposed to do: deliver the ultimate Oranje vibe.

The pen and the writer

When you look at the final result, you see a flashy, catchy clip. It's highly tempting to think: “Look what AI can make with the push of a button – and of course a bit of human editing work.” But the reality is exactly the other way around.

My code had absolutely no clue about the irony. The machine doesn't understand the tension of a penalty shootout (though my agent actually does for a part), doesn't get the humor of a programmer suddenly transforming into a party avatar, and doesn't feel the collective World Cup fever rushing through the country.

The technology I built was purely what it should always be: the pen. The razor-sharp, hyper-modern pen that was capable of translating my colleague's spontaneous idea into a fully-fledged release. The soul, the humor, and the absurdity came entirely from us.

What the test taught me

For my AI Video Studio, this was a next baptism of fire. In the past, a project like this – an animated music video with complex lip-syncing and dynamic crowds – would have cost weeks of production time, expensive render farms, and a hefty budget. Today, we did the testing, production, distribution, and marketing campaigns in between our regular tasks. And if you had to shoot this quickly with actors and a camera crew, you wouldn't even want to know the price...

So no, I'm not moving my core creativity to the festival tents. But this test did conjure up a virtual Oranje army out of thin air; just imagine what it can do for a serious video production.

As long as you bring the soul yourself, you can make a lot of fantasies come true in a hybrid mode.

At Playanote, we believe in a very specific intersection: “Technology meets creativity, driven by passion.”

Our vision is simple yet fundamental: “Where the human soul writes the creation, and technology is merely the pen.” No matter how advanced the systems we build become: your soul — the human — is the highest good. Technology is not there to take the place of the maker, but to pave the way for creation.
In search of the ideal digital companion

In my daily practice as both a professional and a senior programmer, I am constantly searching for that balance. I look for the ideal digital companion for complex creative processes: the production of long videos, layered audio, and visual worlds.

But in that quest with OpenClaw, I hit a wall: the “Context Wall.”
The stuttering pen: when technology gets in the way of creation

As soon as you want to drive truly complex projects with AI agents like OpenClaw, you notice that the technology is often still ‘forgetful’—or simply becomes too expensive for long-term processes. The pen begins to stutter the moment the machine can no longer carry the enormous amount of instructions, choices, and history. At that point, you lose the synergy; the machine becomes a burden instead of a delight.
The breakthrough: space for the maker

Recently, I have worked intensively on a way to break through that wall within the OpenClaw framework. By designing the backend of our systems more intelligently, we ensure that the agent (the pen) continues to understand where we want to go—without costs exploding or memory failing.

What this delivers in practice: more automation and collaboration in repetitive work and in generating raw images or versions. But the true finishing touch—the edit, the rhythm, the taste, the feeling—remains consciously with us. That is where the soul of the maker resides.

Behind the scenes, these complex systems are developed at Utilewebsites.nl. And precisely because both platforms are content-related, Playanote is the place where we make these innovations visible and applicable step by step.
Curious about the full adventure behind the scenes?

I have written an extensive article about how I technically broke through the “Context Wall” and the strategic choices that preceded it.

Read the full story here:
The OpenClaw Adventure: How I Broke Through the “Context Wall” with DeepSeek V4

By: Pascal Schardijn – Creative Technologist

The world of video production is changing faster than ever. Everywhere we hear that AI can generate videos at the touch of a button. But while the technology is impressive, automated output often lacks the refinement, coherence, and emotional impact required for meaningful creative work.

At Play A Note, we believe that AI is an amazing instrument, but just like a bass guitar or a synthesizer, the instrument only truly comes alive in the hands of someone who understands the craft.

30 years of listening, building and creating

My path to the AI Video Studio 4K didn’t start yesterday. It’s the result of a journey of more than 30 years.

On one side, there is the musician and producer. I’ve spent decades on stage, mixing symphonies and composing soundtracks. I know that a video stands or falls with timing. A transition that comes a single frame too late, or audio that isn’t perfectly locked to the picture, breaks the magic.

On the other side, there is the software engineer. For the past 30 years I’ve been writing code, building systems and optimising servers. For this new studio I didn’t simply take out a subscription to an online tool. I built my own high-end hardware and wrote my own software environment. Why? Because as a developer I want full control over quality, computing power and – above all – the privacy of everyone I collaborate with.

The “No Camera” Promise

The biggest advantage for creators working with Play A Note? We no longer need cameras, locations or large film crews.

Imagine: you’re an author and you want a cinematic trailer for your new book. Or you’re a creative thinker with a strong vision you want to bring to life. Normally, this is an expensive and time-consuming process.

In my AI Video Studio, we turn that around:

1. You bring the vision: You share your idea, script or base images via our portal.
2. I build the world: With my custom AI stack, I generate visuals that used to be unaffordable.
3. Craftsmanship does the rest: This is where the audio engineer and video editor step in. I correct AI artefacts with VFX, apply colour grading and edit the footage to the rhythm of the music.
4. Unique audio: Your video doesn’t get generic stock music. I compose, mix and master a unique soundtrack that amplifies your story.

Why this works

Creators and artists don’t choose Play A Note because we “use AI”. They choose us because we use AI as the foundation for real craftsmanship.

• Privacy by Design: Because I manage my own servers (our “Private Vault”), all creative data stays safely in the Netherlands. No leaks to big US cloud providers.
• Technical perfection: As a software engineer I’ve optimised the workflow so that we can deliver rock-solid 4K quality.
• Musical soul: With 30 years of experience as a producer, I make sure the video is not only watched, but also felt.

A new challenge, a familiar standard of quality

The AI Video Studio is a new and exciting challenge for me. It’s the place where my passion for code, music and image come together. We are currently in the BETA phase, which means I’m working closely with the first visionary creators to push the boundaries of what’s possible.

Do you have a vision, but no desire for the hassle of a traditional film set? Let’s create something special together. Without cameras, but with the precision that comes from many years of craftsmanship.

Ready to translate your story into image and sound? Check out the beta packages and pricing and start your project in our portal today.

The Challenge: Crossover Creation

For years, video production was a craft with clear boundaries. Green screens, traditional filming, and complex post-production were the norm. Now we are at a crossroads. The question is not whether AI plays a role, but **how** we harness its power.

At Play A Note, we are fully engaged in a fascinating crossover: seamlessly combining the 'old' familiar methods – such as live-recorded footage, green screen techniques, and existing video material – with the unprecedented possibilities of artificial intelligence. This opens up a playing field with infinite possibilities.

More Than 10 Seconds: The Complete Music Video

Forget the short, isolated 10-second AI clips. Our vision extends further. We are working on creating complete video clips, including audio, that tell a full-fledged story. Whether it's a music video, a business presentation, or an artistic project; the length is no longer limited by technology, but by the power of the story.

By using AI, we can realize cinematic possibilities that were previously only available to large productions with huge budgets. Small production companies and independent creators now gain access to a toolkit that exponentially broadens their creative horizon.

The Core: A New Workflow

To realize this ambitious vision, we at Play A Note, in collaboration with Utile Websites, have developed entirely new software for the Video Editor 4.0 workflow. We are still fully in the development phase, but the first production tests are already running successfully. This allows us to continuously push the boundaries of what is possible while maintaining control over the creative process.

The Vision Remains: Human Soul, Technological Pen

As early adopters of AI, our vision has always remained clear:

Where the soul of man writes the creation, and technology is merely the pen.

AI is a powerful instrument in the hands of the creator. It allows us to realize ideas faster, more efficiently, and on a previously unimaginable scale. But the inspiration, the emotion, the message – those always come from the human being. We are the conductors, AI is the orchestra.

The answer: ComfyUI.

? What is ComfyUI?

ComfyUI is a visual, modular AI engine specifically designed for creative workflows.
Instead of a single fixed interface, you work with a graph-based canvas of nodes. Each node represents a step in your process: from generating images, editing video, to combining it with text or audio.

You literally build your own AI pipeline — completely visual. This makes ComfyUI not only powerful, but also intuitive for those who think in images, sounds, and movement.

Test the latest models locally

If you have a powerful computer — for example with an NVIDIA RTX GPU — you can run ComfyUI locally.
This allows you to try out the newest AI models without queues or cloud costs.
For video editors and AI artists, this means complete control: you work with your own hardware, at your own pace, with your own creativity.

? Build, share and reuse workflows

One of ComfyUI’s greatest strengths is the ability to save, share, and reuse your workflows.
Each image or video contains metadata that allows the entire workflow to be automatically reconstructed — ideal for collaboration or education.

This lets you learn from other creators or share your own setups with the community.
In the world of AI video, VFX and creative production, this is a tremendous accelerator of innovation.

? Open source, free and future-oriented

ComfyUI is open source and works on Windows, macOS and Linux.
Whether you are a video artist, music producer or AI developer — the tool adapts to your way of working.
It combines technical freedom with visual clarity: perfect for those who use technology as an extension of creativity.

? Why creators choose ComfyUI

• ? Full creative control — build your own AI workflows
• ? Always up to date — test new models as soon as they appear
• ? Work locally — no cloud costs or dependencies
• ? Community-driven — share, learn and create together

ComfyUI is more than an AI tool — it’s a playground for the new generation of creators.
From AI video to generative art, from greenscreen to VFX: with ComfyUI you design the future of your creative workflow.

? Discover more or download the software via comfy.org

Introduction:

Start with a familiar scene. We all know movie night: sitting on the couch with friends or family, a big bowl of popcorn, scrolling through Netflix or Disney+ in search of the perfect film. We’ve become experts at passively consuming stories. But what if that passive role changed? What if we didn’t just watch, but actually took part? Thanks to rapid developments in artificial intelligence (AI) and real-time video generation, we’re on the brink of an entertainment revolution — a future where the line between viewer and creator begins to blur.

The Concept: Interactive & Collaborative Entertainment
Imagine this: you start a new thriller with a group of friends. The movie begins with a fixed plot, stunning cinematography, and compelling characters, crafted by talented filmmakers. But at a critical moment, the group is presented with a choice. Not just a simple A/B decision like in earlier interactive experiments (think Black Mirror: Bandersnatch), but an open-ended question.

Via an app on your phone—or even through voice commands—the group can “prompt”:

• Scenario: The main character is trapped in a dark warehouse. The viewers receive the prompt: “What does she do now?”
• Group input: Someone says, “She uses the mirror in her bag to look around the corner!” Another adds, “And she whistles a tune to distract the pursuer.”
• The AI Director: An advanced AI, acting as a digital director, instantly processes this input. Within seconds, the AI generates a unique new scene in which the main character does exactly that. The visuals, audio, and actions—all are created in real time, fully in the style and tone of the original film.

The Technology Behind the Magic
This may sound like science fiction, but the building blocks are already being laid today. Technologies like OpenAI’s Sora , Veo3 and other generative video models are proving that AI is becoming increasingly capable of producing coherent, high-quality video based on text prompts.

The next step is a model that doesn’t just generate isolated clips, but can maintain a continuous narrative. This AI needs to:

1. Understand context: Remember the full plot up to that point.
2. Maintain narrative coherence: Ensure that viewer input fits within the logic and tone of the story. A humorous twist in a serious thriller, for example, must be carefully integrated.
3. Render in real time: Instantly generate and seamlessly insert the new scenes.

The role of the human filmmaker shifts from “storyteller” to “world-builder.” They create the universe, the characters, the visual style, and the narrative “rules,” within which the AI and viewers co-create their unique story experience.

What Makes This the Future of Entertainment?

1. Infinite rewatch value: No movie night is ever the same. The same starting film can lead to dozens of entirely different stories and endings, depending on the creativity of the viewers.
2. Ultimate immersion: You’re no longer just an observer of the story; you become an integral part of it. Emotional engagement increases exponentially.
3. Social experience 2.0: This transforms a passive group activity into an active, creative, and collaborative one. It’s a movie, a game, and a creative brainstorm all in one.

Conclusion: A New Canvas for Creativity
While we still need to overcome some technological hurdles, the direction is clear. The merging of film and AI will create a completely new form of interactive entertainment—one that takes the promise of “immersive storytelling” to an entirely new level.

At Playanote, where technology and creativity converge, we’re closely following these developments. We believe AI is not a replacement for the human artist, but an incredibly powerful new tool. A tool that enables us to create and experience stories in ways we never thought possible.

The question is no longer just: “What are we watching tonight?” but: “What story are we going to create together tonight?”

Progressive AI video generators

OpenAI Sora

The Sora Video Editor in ChatGPT Pro lets you turn text or images into videos up to 20 seconds and 1080p quality(help.openai.com).
Ideal for quick social media content, with features for remix, storyboard and re-cut(openai.com).

Google Veo 3 + Flow

In May 2025, DeepMind introduced Veo 3: a text-to-video model that for the first time generates native audio - dialogue, sound effects, music - to accompany images(deepmind.google).
Flow is Google's AI filmmaking interface that combines Veo, Imagen and Gemini to build longer, narrative scenes(blog.google).

Other noteworthy tools

Tools such as Runway Gen-4, Luma's Dream Machine, Kling AI and HeyGen offer unique benefits such as scene consistency, character-driven videos and avatar-generated content .

Case study: NBA Finals spot of $2,000

During Game 3 of the NBA Finals, a commercial of Kalshi, generated entirely by AI with Veo 3, ran.

• Creation included surreal visuals such as a farmer in eggs(cined.com).
• Within 3 days, 300-400 clips were generated, of which 15 were usable - with a cost savings of 95%.
• The campaign achieved 20 million impressions, clearly illustrating the potential of AI creation.

What does this mean for content creators?

1. Cost reduction - Productions are shifting from multi-million dollar budgets to sometimes only a few thousand dollars.
2. Creative freedom - Ideas and scripts are transformed into visual content with one prompt.
3. Accessibility - Tools like Bing Video Creator (with Sora) and Amazon Video Generator make AI video widely available(axios.com).
4. Technical challenges - Color schemes, consistent character designs and physics can still look unnatural .

Tips for content creation with AI

The future: film production entirely from AI?

The current generation of AI tools can already create impressive short videos. Flow and Runway Gen-4 show that longer, narrative content is coming within reach. By the end of 2025, we expect AI suites that perform storyboarding, shot framing, editing and color correction entirely from prompts - from prompt to short film.

Conclusion

AI video is about to transform traditional media. Whether for commercials, social content or even feature films, creators will be given unprecedented tools. Yet quality, post-production and creative eye remain crucial. AI is powerful, but not yet a ready-made director.

And for Playanote.com, this is the moment to show how AI video is within reach. Creative minds, producers and marketers: keep an eye on these tools - the revolution has just begun!

The Power of AI Video Generators

AI video generators are tools that can create moving images based on text or other inputs. This technology combines various AI techniques, including natural language processing (NLP), computer vision, and deep learning. The result is stunning: videos that feel as though they were created by humans, complete with complex details like lighting, shadows, and textures.

The applications of AI video generators are wide-ranging, from marketing and branding to film production and gaming. What makes this technology so powerful is its ability to democratize creativity. Large budgets or film crews are no longer necessary; with a good idea and a strong prompt, you can achieve impressive results.

Test Results: Sora vs. Runway

To test the capabilities of AI video generators in 2025, we compared Sora and Runway using the same text prompt to generate a video:

A tall woman with shoulder-length black hair styled in soft waves, wearing a beige trench coat with a wide-brimmed hat. She has piercing green eyes, a sharp jawline, and red lipstick. She walks purposefully down a rainy noir city street at night. The streets glisten under the dim glow of streetlights. Smoke from her cigarette swirls in the damp air as shadows dance across brick buildings. A silhouette of a man is visible in the distance under a flickering streetlamp.

Sora's Results

The video generated by Sora was impressive. The details in the scene were sharp and visually appealing. The interplay of light and shadow was particularly realistic, and even subtle elements, such as the cigarette smoke and glistening streets, came to life. Sora’s strength appears to lie in combining artistic finesse with technical accuracy.

Runway's Results

Runway’s video, on the other hand, struggled to achieve the desired result. While the overall noir atmosphere and rainy city setting were conveyed, there were noticeable shortcomings in the precision of details. Runway remains a powerful tool but seems better suited for broader artistic experiments rather than highly detailed scenes like this one.

Conclusion: Sora Leads the Way

This test shows that Sora is currently the superior choice for generating detailed and lifelike videos. The difference in quality is evident, especially in the realism of the details and animations. However, this doesn’t mean that Runway is irrelevant; it still offers interesting possibilities, particularly for projects where refinement is less critical.

The technology of AI video generation is constantly evolving. With updates and improvements, tools like Runway can enhance their performance. Additionally, VEO 2, a new player in the market, is set to launch soon. We’re eager to see how this tool will compare to the established names.

What Does the Future Hold?

The future of AI video generation looks incredibly promising. Tools like Sora, Runway, and soon VEO 2 enable creators to push the boundaries of creativity. As the technology continues to evolve, the gap between human-made and AI-created videos will become increasingly smaller. Who knows—perhaps in the near future, we’ll be making films with nothing more than a well-crafted prompt.

Since the summer of 2024, the Netherlands and Belgium have gained a powerful new AI tool: Google's NotebookLM. As user of this tool, I have long been impressed by its capabilities, and recently an exciting new feature has been added: the ability to automatically generate a podcast based on the documents you upload. In this article, I’ll explain what NotebookLM is, how it works, and most importantly, how you can use it in your daily work. Whether you want to analyze documents, generate new insights, or streamline your workflow, NotebookLM offers solutions. And who knows, this blog might inspire your next podcast!

What is NotebookLM?

NotebookLM is an AI-driven tool from Google that uses advanced language models to understand, summarize, and generate insightful answers from text. It acts as a personal research assistant, ideal for knowledge workers who regularly deal with complex documents. The power of NotebookLM lies in its specific focus on the content you upload. Unlike tools like ChatGPT or Claude, NotebookLM only works with your own files, such as Google Docs, PDFs, Markdown documents, and more recently, audio files and YouTube links.

A unique advantage of NotebookLM is its transparent citation feature. For each answer, the tool shows which document or section the information came from, allowing you to always verify the context. This reduces the risk of so-called ‘hallucinations’—errors AI models sometimes make by generating incorrect information.

How to Get Started with NotebookLM

Although NotebookLM is still in its experimental phase, it is free to use for anyone with a Google account. Once logged in, you can easily create a new notebook and upload documents. The tool accepts various file formats, from Google Drive documents to audio and video files. This is especially useful for analyzing visual and auditory content, such as YouTube videos or podcasts.

You can add up to 50 sources per notebook, and each document can contain a maximum of 500,000 words. After uploading, you can ask questions and request summaries, just like with other AI chatbots. But what sets NotebookLM apart are its special features like table of contents, study materials, and the ability to generate quiz questions—ideal for students and professionals looking to test their knowledge.

New Podcast Feature

One of the most exciting recent additions is the ability to generate an 'Audio Overview'. With this feature, you can create a podcast based on the documents you’ve uploaded. Although this feature is currently only available in English, the AI-generated voices are remarkably realistic, offering an inspiring way to process complex information into a podcast format.

Imagine: you have a series of lengthy reports on market trends or customer research. Instead of spending hours sifting through all this information, you upload the documents to NotebookLM and let the tool create a podcast discussing the key insights. This can be a valuable time-saver for anyone who prefers to consume information in audio format while on the go.

Where Can You Use NotebookLM?

The possibilities with NotebookLM are versatile. Here are some practical examples of how you can use this tool:

1. Summarizing Long Documents

Do you regularly work with long white papers, research reports, or policy documents? NotebookLM can summarize the core of the text within minutes, including detailed citations. This makes it a powerful tool for knowledge workers looking to efficiently handle large amounts of information.

2. Generating New Insights

By adding multiple documents to a single notebook, NotebookLM can draw connections that you might not immediately see yourself. This is useful for brainstorming sessions or when you want to generate new ideas for a project.

3. Market Research and Trend Analysis

NotebookLM can analyze large amounts of market research to provide trends and valuable insights. This makes it a useful tool for marketing teams who need to process data quickly and reach conclusions.

4. Study and Training Support

In addition to summarizing information, NotebookLM can also create study materials based on the documents you upload. The tool can generate quiz questions or essay assignments, which can be particularly useful for students or professionals who want to test their knowledge.

5. Text Generation

While NotebookLM may not be the best AI tool for generating new texts like social media posts or newsletter articles, it can provide a good starting point. The generated texts can serve as a basis for further editing, depending on the complexity of your prompt.

Practical Examples

Developing a Content Strategy

Imagine you’ve just started a new job and need to develop a content strategy. Instead of manually going through all the market research and reports, you upload the documents to NotebookLM. You then ask targeted questions, such as:

• What are the most common pain points of our customers?
• Which content performed the best last year?

NotebookLM provides you with condensed answers, complete with citations. This helps you quickly gain insight into the existing data, saving you a lot of time.

Newsletter Database

I personally use NotebookLM to maintain a database of all my newsletters. If I want to quickly check whether I’ve written about a certain topic, I can easily ask NotebookLM. The tool automatically searches all the editions I’ve uploaded, saving me hours of searching.

Privacy and Data Security

Google emphasizes that the documents you upload are only used to build your personal knowledge base and are not used to train the general AI model. This means your data remains secure unless you choose to share it with other users.

Conclusion

NotebookLM is a powerful AI tool that already shows great potential, even though it’s still in the experimental phase. Whether you want to generate a podcast, quickly extract insights from documents, or develop new ideas—NotebookLM offers a range of possibilities. The tool is still evolving, but the current features make it worth trying. Will you try NotebookLM for your next project or maybe even your next podcast (https://notebooklm.google.com/)?

Below is an example of a podcast about the Levensfilm service: levensfilm. It’s in English, but we’ve included the dutch subtitles.