Users need a mechanism like a "prompt queue" or similar setup to ensure AI agents can continue working without constant user attendance, enabling true "work while you sleep" functionality. This would allow agents to manage and process tasks autonomously.
My dad always said the way to make real money is to make money while you sleep. I've been thinking about that a lot lately, but applied to productivity. The people who get the most done aren't working longer hours. They've figured out how to get work done while they're not working. That's what AI agents actually are, when they're set up right. Chatbots are a great starting point - ask a question, get an answer. Agents are the next step. Specialized assistants that know their job deeply, run continuously, and act on your behalf without you being in the loop. You hand something off before bed. It's done in the morning. I spent the last month trying different ways to run them. I tried OpenClaw, then Nanoclaw, and eventually landed on a setup that uses Claude Code natively on a remote server - no third-party platforms, no security trade-offs, accessible from my laptop and phone through the official Claude apps. I wrote up what I learned: why specialization matters, why the platform you choose matters more than you think, and the exact setup I'm running (with a public GitHub repo you can copy). Link in the comments.