The developer should build a cross-platform AI-powered IT Help Desk agent and management system that supports Windows, Linux, and macOS. The system must include a backend API (preferably in Python FastAPI or Node.js) to handle ticket management, device registration, and command distribution, along with a secure database (PostgreSQL) and an optional vector database for AI knowledge retrieval. The agent itself should be written in a compiled language like Go for cross-platform deployment, capable of registering devices, reporting system info and heartbeat, detecting missing patches, restarting services, and executing safe commands remotely. The AI component should analyze incoming IT tickets, automatically suggest fixes, and optionally execute auto-remediation commands when safe. All communication between agent and backend must be encrypted over HTTPS with token-based authentication, and the agent should include a self-update mechanism to download and replace its binary safely. The frontend dashboard (React or similar) should allow IT staff to view tickets, monitor devices and patch status, approve or override AI fixes, and see logs of all executed commands. The system must be designed for scalability, security, and robust logging, with clear APIs for future integration with other enterprise tools.