Creating a Fun Multi-Agent Content Strategy System with Microsoft Agent Framework
This tutorial walks you through building a multi-agent content strategy system using Microsoft's AutoGen framework. Three specialised AI agents — a Content Creator, an Algorithm Simulator, and an Audience Persona — collaborate to help gaming content creators pressure-test their social media posts before publishing. Using live Google Trends data and platform-specific scoring rubrics for TikTok, Twitter/X, YouTube, and Instagram, the system generates content, predicts how each platform's algorithm would distribute it, and simulates authentic audience reactions. The tutorial covers core multi-agent patterns including role specialisation, structured evaluation, iterative feedback loops, and resilient tool integration — all running on GitHub Models' free tier.
