How to Build a Viral Video Using Veo3 + Make or N8N

You have a story in your head. A spark. A vision. But turning it into a video? That’s where the overwhelm kicks in.

The tools are complicated. The editing takes hours. The ideas pile up, untouched.

Now imagine this: You feed your idea—or even just a piece of breaking news—into a simple system. Minutes later, a cinematic video is born. Visuals, voice, emotion. Done.

No camera. No crew. No burnout. Just your creativity, brought to life by AI.

This isn’t a future dream—it’s real, and I’m about to show you how we built it. We used automation, AI, and a bit of curiosity to create something that’s awesome… and anyone can do it.

This isn’t about “faceless content.” It’s about powerful storytelling made effortless.

Let’s dive in.

In this blog, we’re diving into a powerful, scalable method to generate stunning, faceless videos automatically, using a tech stack built on:

• Make

• N8N

• OpenAI’s GPT

• V3 by Fall.AI (formerly VO3)

• NewsAPI.org
  

You can also productize this workflow and sell it as a service. Here’s how it works, step by step.

Step-by-Step: Creating Videos from News Headlines Using AI

We’ll explore the implementation using Make and N8N—two no-code automation platforms. Both platforms run similar logic; the only difference is interface and customization. Here we decided to create a video from a news headline using veo3. Here's the breakdown.

1. Fetch Top Science & Tech News (via NewsAPI)

Use NewsAPI.org to retrieve the latest science and technology headlines from trusted media sources.

• Tool: Make.com HTTP Module or N8N HTTP Node

• Parameters: country=us, category=science, pageSize=10

• Output: JSON object with an array of articles
  

2. Prepare the News for Analysis

Use an iterator and text aggregator (in Make) or a simple JavaScript code node (in N8N) to compile all 10 articles into a single block of text. This text becomes the fuel for OpenAI to decide what story to generate.

3. Analyze & Select the Best Story (via OpenAI)

Send the aggregated news text to OpenAI’s GPT model with a system prompt that says:

“You are an AI assistant specialized in analyzing science news. Choose the best article out of the 10 provided.”

The model selects one article that stands out in terms of relevance, novelty, and impact.

4. Generate a Cinematic Prompt for Video (via OpenAI)

Next, we need to turn the chosen article into a cinematic scene description that the V3 model can turn into video.

A second OpenAI prompt creates this description with detailed guidance:

• Location

• Time of day

• Atmosphere

• Visual style

• Camera angle

• Optional: Lighting, weather

The result is a visually rich, compact video generation prompt.

5. Generate the Video with V3 (Fall.AI)

Fall.AI’s V3 model is a cutting-edge tool that creates 8-second cinematic videos from prompts.

• Method: Use Make.com’s or N8N’s HTTP request module

• Endpoint: POST /v3

• Payload: JSON with prompt, aspect ratio, duration, audio, etc.

• Authorization: API key from Fall.AI

Allow a delay of around 250 seconds while the model generates the video.

6. Retrieve & Publish the Video

Once the video is rendered, a GET request fetches the final asset via a request ID. From here, you can:

• Upload to Instagram Reels

• Post to YouTube Shorts

• Share on LinkedIn or Twitter

• Package the system as a service!
  

Turn This Into a Productized Service

This isn't just a cool experiment. It's a business opportunity.

• Package it as a SaaS tool

• Offer a “daily science news video” service

• Sell it to brands, agencies, or educators

• Monetize via YouTube Shorts or Instagram Reels

With plug-and-play blueprints and minimal setup, you can turn this automation into recurring revenue.

Final Thoughts

We’ve entered a new era where AI is your co-creator. By leveraging tools like OpenAI, Make.com, and Fall.AI’s V3, content creators can produce high-quality, engaging videos with little to no manual effort.

Whether you’re a freelancer, marketer, or solo entrepreneur—this is your chance to scale your content strategy, reduce costs, and stay ahead of the curve.

Ready to Build It?

Built for Both Make.com and n8n Users

We tested and ran this exact workflow on both Make.com and n8n.

Make.com is perfect for drag-and-drop style building, while n8n gives more flexibility with JavaScript when you need custom processing (like aggregating article arrays into one text blob).

Either way, the outcome is the same: A fully automated content pipeline that transforms headlines into short-form cinematic videos.

Want us to build this for you? Contact us now!