Case Study
Tuesday Desk
An asynchronous AI video pipeline built to transform raw data into 30-second broadcast-quality video assets without browser timeouts.
- Development Time
- 5 Days
- Operating Cost per Video
- Under $0.50
The Challenge
Rendering AI video takes 3 to 7 minutes. Holding an HTTP request open for that long causes browser timeouts. The challenge was to engineer a custom asynchronous cloud pipeline that could ingest data, generate a script via AI, render a video avatar via a third-party API, and automatically email the finished asset, all while maintaining a flawless user experience.
What We Built
- Custom Asynchronous Pipeline (OpenAI, ElevenLabs, Sync Labs, Supabase)
- Hyper-realistic Lip Sync Pipeline (Sync Labs lipsync-2-pro)
- Professional Voice Cloning (ElevenLabs)
- Automated Email Delivery (Resend)
- IP Rate Limiting and Invite Code Gating
The Technical Architecture
Step 1: Ingestion
Next.js Frontend
Step 2: Scripting
OpenAI GPT-4o
Step 3: Voice Generation
ElevenLabs
Step 4: Lip Sync
Sync Labs API
Step 5: State Management
Supabase
Step 6: Delivery
Resend
The Output
- Avatar: AI Anchor
- Voice: Dynamic
- Delivery: Automated via Resend
The Impact
Delivered a fully asynchronous SaaS pipeline in 5 days with an operating cost of under $0.50 per generated video. By orchestrating OpenAI for scripting, ElevenLabs for voice cloning, and Sync Labs for hyper-realistic lip syncing, we built a custom pipeline that turns raw group chats into broadcast-quality video assets. This architecture is the foundational template for all future Creator SaaS builds.
Building an AI product?
We engineer asynchronous AI pipelines that automate complex workflows and asset delivery. If you want to turn raw data into automated video, audio, or print products, let us build it.
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