The problem
Each video started with repeated topic research, note collection, drafting, and voiceover formatting. The team needed a consistent first draft without removing editorial review.
The system response
I developed an intelligent content automation platform that generates production-ready video scripts from simple topic inputs with minimal human intervention required.
Key capabilities:
- Automated web scraping for topic research
- GPT-4 integration for narrative optimization
- Voiceover-optimized formatting and pacing
- Batch processing for high-volume workflows
- Consistent quality and brand voice maintenance
What shipped
The workflow produces a source-linked research packet and a voiceover-formatted draft for review. Editors can inspect the material, revise the narrative, and reject weak source notes before a script is approved.
Produces source-linked voiceover drafts while keeping editorial review and approval at the end of the workflow.
Architecture decisions
- Collect and separate source notes from generated narrative
- Pass structured fields between research, drafting, and review stages
- Keep the final approval step with an editor
Release checks
- Reject a draft when required source notes are missing
- Confirm batch items cannot overwrite one another
- Check voiceover formatting against the agreed template
