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From Reactive to Active: The Always-On AI Development Revolution

· 6 min read

We noticed something remarkable while working with Claude in our terminal. Large Language Models are fundamentally passive—they respond to prompts, provide answers, then wait dormant until the next human input. This has been the defining characteristic of every AI interaction since the beginning.

But there's an emergent capability that changes everything. AI agents can now execute sleep commands and schedule their own activity. This transforms them from passive responders into active participants that can monitor, wait, and return with updates autonomously.

AI agent sleeping and then waking up to check system status - illustrating the transition from passive to active AI monitoring