Multi-Agent Content System

Overview:

The AI-powered Content Collaboration Engine is an intelligent multi-agent system that automates the entire content creation process from research to publication. This sophisticated workflow transforms content marketing by using specialized AI agents to research topics, plan articles, delegate writing tasks, edit drafts, and publish across multiple channels.

Overview and Benefits & How AI Agents Fit into the Bowtie Funnel or Growth Loops Framework:

Benefits:

• Content Production: 4x acceleration in content creation speed with research-backed articles

• Cost Savings: 90-95% reduction in content writing and agency fees ($5-50k/month typical savings)

• Quality Improvement: Research-backed content with proper citations and SEO optimization

• Publication Automation: Direct integration with Ghost CMS and email distribution

Bowtie Funnel Application:

• Education: Comprehensive, research-backed educational content that establishes thought leadership and guides prospects through learning journeys; automated content personalization based on audience needs and engagement patterns; systematic content creation that addresses buyer journey stages and common questions

Technology Stack:

• n8n: Core workflow automation and orchestration platform

• OpenRouter AI: Multiple AI model access (GPT-4o, Perplexity) for different specialized tasks

• Perplexity API: Real-time research and citation gathering capabilities

• Gmail: Email distribution channel

• LangChain: Agent framework for specialized AI roles and structured outputs

How the workflow works:

Research & Planning Phase:

1. Form trigger accepts topic, tone, word count, and section requirements

2. Research Leader agent conducts comprehensive topic analysis using Perplexity search

3. Project Planner creates structured article outline with introduction, chapters, and conclusions

4. Structured Output Parser formats the plan into actionable tasks for delegation

Content Creation Phase:

1. Delegate node splits chapters among multiple Research Assistant agents

2. Each Research Assistant writes specific chapters with Perplexity-backed research and citations

3. Agents maintain context awareness of previous/following chapters for content coherence

4. Merge node combines all chapter outputs with titles and structured content

Editorial & Publication Phase:

1. Editor agent polishes the complete article for grammar, SEO, and citation management

2. Creates unified Sources section with proper HTML formatting and hyperlinks

3. Title Creation agent generates engaging, SEO-optimized headlines

4. Gmail distribution for email marketing and content sharing

Key Technical Features:

• Multi-Agent Collaboration: Research Leader, Project Planner, Research Assistants, and Editor working in sequence

• Real-time Research Integration: Perplexity API provides current data and proper citations

• Content Coherence: Context-aware chapter writing ensures logical flow between sections

• Publication Flexibility: Gmail integration for email marketing and content distribution

• Citation Management: Automated source tracking and proper academic formatting