Start local n8n:

N8N_RESTRICT_FILE_ACCESS_TO="/Users/arianali/n8ndata" npx n8n start

Automated AI Video Generation & Social Publishing Pipeline

Project Summary

Role: Workflow Architect & AI Automation Engineer

Core Stack: n8n, OpenAI (LLM), Seedance AI, Wavespeed AI, Fal AI (ffmpeg API), Blotato, Google Sheets

Platforms: TikTok, YouTube, Instagram

This project delivers a fully automated, production-ready pipeline for generating short-form AI videos and publishing them across major social media platforms. Using n8n as the orchestration layer, the system transforms raw creative prompts into edited videos with sound, metadata, and scheduled distribution—without manual intervention.

The solution is designed for creators, growth teams, and agencies seeking scalable, repeatable content output with minimal operational overhead.

Project Objectives

• End-to-End Automation: Eliminate manual steps from ideation to publishing by orchestrating AI content generation and multi-platform uploads.
• Scalable Content Production: Enable high-frequency video generation suitable for short-form platforms (TikTok, Reels, Shorts).
• Cross-Platform Consistency: Maintain consistent formatting, metadata, and publishing logic across all social channels.
• Operational Transparency: Log all ideas, assets, and published URLs for auditing, iteration, and analytics.

System Architecture Overview

The workflow is built as a modular, event-driven automation inside n8n, allowing each component to be independently replaced or extended.