I’ve been building an AI platform called Wizard Ecosystem — a full-stack system with a multi-agent architecture, memory, tools, and orchestration layers. It started as “just another AI assistant project.” It ended up becoming something much harder than I expected. This post is about what actually broke, what surprised me, and what I learned building a multi-agent system in the real world. ⚙️ What I built At a high level, the system includes: Multiple AI agents (coder, writer, reviewer, researcher, optimizer, etc.) An orchestrator that routes tasks between agents A prompt builder system for consistent identity control Memory layer for persistence across sessions RAG system for document-based context Web search + tool execution layer SDK so external users can access the system Web apps (chat, mail, calendar, browser-like tools) On paper, it sounds clean. In reality, it wasn’t.…