StripFlowing Portable - Physical Attention Queue

StripFlowing Portable — Physical Attention Queue for AI Developers Your AI agents run in parallel. Your attention is single-core. You can launch ten agents at once, but you can only review one at a time. The problem isn't your setup — it's that your attention doesn't scale with your agents. A CPU handles context switches in nanoseconds because it has RAM ready: it saves the current thread state, loads the next one, and picks up instantly. You don't. When you finish a prompt and need to move to the next agent, you don't have RAM ready. You have a blank. You try to remember where you were. Which tab, which branch, which conversation. You switch windows, re-read context, and meanwhile another agent finishes and starts pulling at you. You're not driving anything. You're reacting. StripFlowing is a physical protocol that creates that RAM. A FIFO queue for your attention — not for your agents. How it works Every time you launch an agent on a task, you write a strip — an index card with three