AI

AI Video
Creation Workflow

Automated end-to-end video production by connecting structured Airtable data to Leonardo AI for dynamic image generation. Leveraged webhooks to trigger scene completion workflows—creating a scalable, hands-free content pipeline from data input to final visual output

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AI Video Creation Workflow
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Technologies Used

Built with cutting-edge technologies to ensure scalability, reliability, and performance

Make.com Make.com
Airtable Airtable
Leonardo AI Leonardo AI

How It Works

A closer look at the automated 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 fires once a scene finishes, advancing the pipeline to the next step without manual coordination.

Results & Impact

Measurable outcomes that demonstrate the real-world value delivered to the client

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 3Ă—

Business Impact

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.

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