What if you could give AI a task, close your laptop, and wake up to a finished project? In this video I break down Perplexity Computer in plain English: it’s not a generic chatbot—it’s a cloud-based digital worker that can run a whole “swarm” of sub-agents in parallel. The big idea is the router: you describe the goal, it picks the best of 19 models for each subtask (like Claude Opus for reasoning, Gemini for deep research, GPT 5.2 for long docs, plus image/video models), and then it stitches everything into a finished output. I also show why the sandbox setup matters. Each agent gets an isolated environment with real tools, so it’s not poking around your actual machine like some local agents. Then I demo a one-prompt workflow that researches my last five YouTube videos, pulls competitor ideas, and generates a clean HTML dashboard—fast—because it’s doing multiple tasks at the same time. Finally, I cover “skills” (teach it once, reuse forever), how to import skills from other tools via simple markdown files, and how connectors + MCP servers (like Zapier MCP) let Computer plug into apps that don’t have native integrations. The headline takeaway: if you want work to keep running while you sleep, Perplexity Computer is in a different category than desktop-only workflows like Cowork.