Build Your Own Niche AI SaaS for AI-Generated B-Roll Videos

Want B-roll of yourself without shooting a single clip?

You can build a tiny SaaS that does that. You let users upload images. You train a model to make a digital version of them. You generate short B-roll clips from that model. This is aimed at a small group of users, not everyone. That focus makes the product easier to build and faster to grow.

Building this happens in layers. Each layer adds structure, intelligence, and automation.

Here’s how you can do it step by step:

• Foundation Layer: Define your goal. Decide what you want to automate, such as social posts, blog content, or newsletters.

• Data Layer: Collect and organize your data. Use APIs or Google Sheets to keep it structured and easy for AI to read.

• AI Layer: Add intelligence. Connect GPT-4 or Claude to generate content drafts from your data.

Train it with clear prompts to match your tone and accuracy.

• Automation Layer: Build your workflow. Use n8n or Make.com to link your data, AI model, and publishing tools.

Set triggers like “new entry → create post → send for review.”

• Review Layer: Keep quality high. Add a short review loop for human or AI-assisted checks before publishing.

• Deployment Layer: Publish and measure. Integrate with LinkedIn, X, or your CMS.

Track engagement, refine your prompts, and improve results over time.

Start small.

Add one layer at a time.

Soon, you’ll have a content engine that runs itself while staying true to your brand.

Set Up the Frontend in Lovable

1. Go to https://lovable.dev
   


2. Create a new project.


3. Give Lovable a high-level prompt describing the app UI (no functionality yet).

1. Wait for Lovable to generate your base app layout.
   You should see:
   Upload image section
   Character creation form
   Clip generation form
   History page

Connect the Backend with Supabase

1. In Lovable, click “Connect Lovable Cloud”.


2. Enable Cloud integration.


3. Allow Lovable to set up the Supabase backend automatically
   You’ll now see:


4. Database tables


5. Storage buckets


6. Authentication setup

Add Image Upload Functionality

1. Create a form in Lovable to upload a ZIP file of your images.


2. Allow Lovable to update the backend (database and storage permissions).


3. Verify uploads:


4. Open Cloud > Storage in Lovable.


5. Check for a folder under your user name.


6. Ensure the ZIP file appears there.

Enable User Authentication

1. In Lovable Cloud, go to Authentication Settings.


2. Set up user sign-in with email or OAuth.


3. For testing, enable Mock User mode if you prefer.

Prepare the AI Engine on Replicate

1. Visit https://replicate.com
   


2. Create an account.


3. Use these two models:


4. fastflux trainer – Fine-tunes your custom image generation model.
   
   


5. Kling v2.1 – Turns an image into a short video.

Get Your API Credentials

1. In Replicate:


2. Copy your API Key.


3. Copy your Username.


4. In Lovable:


5. Go to Cloud > Secrets.


6. Add your Replicate API key and username.

Train Your AI Model

1. Ask Lovable to use the Replicate API for training.


2. Allow Lovable to:


3. Create database tables.


4. Update backend policies.


5. Connect to Replicate for model training.


6. Check progress:


7. In Replicate, open Trainings Tab to see your model training.


8. Once done, check Models Tab to confirm your new model.

Generate a Test Image

In Replicate, open your new model.

Test with a sample prompt (example: “person walking in an office”).

Use:

Aspect ratio: 16:9

Quality: 40

Output: PNG

Run the model and check the result.

Configure the B-Roll Generator

1. Copy the configuration parameters from Replicate.


2. In Lovable, open the B-roll generation form.


3. Paste the parameters into the backend logic.


4. Add prompt input fields:


5. Character


6. Prompt description


7. Style option


8. When it works, you’ll see:


9. Character chosen


10. Generated clip


11. Success message

Test Model Integration

1. Go to Replicate > Predictions tab.


2. You should see two predictions:


3. Custom image generation


4. Video creation (Kling)

1. Both should display timestamps and completion results.

Build a History Page

1. In Lovable, create a History Page.


2. Display all previously generated clips.


3. Ensure database records (for each clip) are visible.

Review Backend Resources

1. Check your Lovable Cloud:


2. Two database tables


3. Storage bucket for uploaded ZIPs


4. Several backend functions auto-created by Lovable

Fix Security Warnings

If Lovable shows a security warning, enable proper user authentication before publishing.

Otherwise, others could use your Replicate API key to generate content.

Optional: Enhance with Advanced AI Steps

You can extend your SaaS further:

• Add GPT-5 (or GPT-4) to improve text prompts.


• Add a video upscaler model for 4K output.


• Add custom niche models from https://huggingface.co
  

Tips for Success

Expect to iterate. You’ll need to refine prompts and model connections.

Be patient when Lovable fails or breaks temporarily.

Always test each part separately before linking them together.

Publish and Test Your App

Once secure:

• Add real authentication.


• Publish your Lovable project.


• Share with a small group of testers.


• Monitor performance and costs from Lovable and Replicate dashboards.

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