Producing visual content at volume is normally limited by how many hours a creative team can spend on manual generation and coordination. By connecting structured data directly to AI image generation and letting webhooks manage scene handoffs, this workflow lets a small content team output far more visual assets without adding production staff. It reduces the coordination overhead between data entry and creative output, freeing the team to focus on creative direction rather than repetitive setup work.
AI/ML
AI Video Creation Workflow
Automated video production by linking Airtable data to Leonardo AI for image generation and triggering scene completion via webhooks.
Tech Stack
Technologies Used
Tools and platforms used to build this solution.
Airtable
Make.com
Leonardo AI
Process
How It Works
A closer look at the workflow behind the results.
1
Structured Scene Input
Scene details are entered into Airtable as structured records, defining what each generated image needs to show.
2
AI Image Generation
Make.com passes each record to Leonardo AI, which generates the corresponding visual automatically.
3
Webhook-Triggered Completion
A webhook marks each scene as complete when its image is ready, which moves the production pipeline to the next step on its own.
Metrics
Results & Impact
Measurable outcomes that demonstrate the value delivered.
Generated 5,000+ AI-powered visuals automatically from structured Airtable records
Reduced manual video production time by 80% through webhook-driven scene automation
Automated multi-step content workflows, eliminating repetitive creative coordination tasks
Enabled scalable batch content creation, increasing production capacity by 3×
Why It Matters
Business Impact
Interested in a similar project?
Let's discuss how we can build something great together.
Start Your Project