Developed a production-grade, self-hosted content repurposing pipeline using n8n and high-speed LLM architectures. The system ingests a single source document (article, transcript, or video script) and produces seven platform-calibrated deliverables in under four seconds.
The Problem:
Marketing teams spend 10 to 15 hours per week manually adapting high-performing long-form assets for secondary social channels. Existing SaaS repurposing tools lock users into expensive monthly subscriptions, restrict prompt customizability, and lack custom distribution endpoints.
Technical Architecture:
Intake Layer: Standardized web form trigger with parameter validation for brand voice, audience profile, and raw content.
Analysis & Core Extraction: Automated information extraction isolating key thesis statements, audience pain points, and viral angles.
Multi-Model Sequential Drafting: Seven dedicated LLM chain nodes executing custom prompts for LinkedIn, Twitter/X, Instagram, Email Newsletters, 60-second video scripts, Telegram announcements, and SEO metadata.
Mobile Dispatch Integration: Dual-part Telegram API dispatch delivering 1-tap copyable monospace blocks directly to mobile devices without hitting API character thresholds.
Database Archival: Automated record creation in Google Sheets across 11 synchronized columns for long-term content asset indexing.
Deliverables & Results:
Fully functional n8n workflow JSON with zero external SaaS dependencies.
90% reduction in multi-channel adaptation turnaround time.
Direct operational cost reduced to under $0.01 per omni-channel package.
Complete documentation and credential onboarding guide.
Automated Omni-Channel Content Repurposing Engine (n8n + AI)
Developed a production-grade, self-hosted content repurposing pipeline using n8n and high-speed ...