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Multi-Agent AI Content System — result by Zain Abbas
LLM / Agents

Multi-Agent AI Content System

Five AI agents working together to research, write, review, and SEO-optimize content automatically.

Project Overview

A LangChain-powered multi-agent system where specialized agents collaborate: Research Agent gathers information, Writer Agent creates content, Reviewer Agent improves quality, SEO Agent optimizes keywords, and Orchestrator Agent manages the workflow.

The Problem

Marketing agencies spend enormous time manually researching topics, writing content, reviewing quality, and optimizing for SEO — a process that should be fully automated.

The Solution

Built with LangChain orchestration using Groq's Llama 3.3 70B for quality tasks and Llama 3.1 8B for speed tasks. Agents pass context to each other with full conversation memory.

Results & Outcomes

Generates fully optimized articles from any topic input in minutes. PDF and Word export. Live agent logs show the pipeline running in real time.