AbhijeetBuilts.tech

Personal YouTube production system

End-to-End AI Video Production Pipeline

A two-workflow pipeline that converts a written script into a narrated, subtitled, edited 1080p video using AI storyboarding, image generation, voiceover, and FFmpeg.

Industry

Media automation

Status

Live

Duration

Live and producing videos

The challenge

The business needed a system that removed repeated manual work while still respecting the real operating process. Instead of forcing a generic template, the automation was designed around the actual flow of leads, conversations, records, approvals, service steps, and follow-up actions.

The solution architecture

The system combines workflow automation, persistent data storage, API integrations, and business rules. n8n handles orchestration where external systems are involved, while Zoho, PostgreSQL, or AI agents handle state, records, and decision-support depending on the project.

Architecture flow

Inbound source → automation workflow → validation and enrichment → CRM/database update → notification or next action → reporting/audit trail.

Key technical decisions

  • Use structured data and persistent storage so automation can resume, audit, and report reliably.
  • Use AI only where it has a clear business job: qualification, reply generation, storyboarding, or prompt correction.
  • Keep humans in the loop at handoff points such as quote requests, approvals, invoicing, or final review.

Results and impact

  • Handles 1-minute videos and 40-minute videos dynamically
  • Automatic image policy correction and missing-scene retries
  • Scene-level voiceover, subtitles, Ken Burns motion, and final concat

Tech stack used

n8nGeminiKie.aiElevenLabsFFmpegGoogle Drive

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