Summary

Deploying AI agents requires balancing local control with infrastructure reliability. This guide breaks down the methods for running agents while you sleep, from simple terminal loops to cloud-native scheduled routines.

Key Topics

• Claude Code Loops: These are session-based automated tasks that execute on a repeating interval. They are essential for testing logic quickly but die if the terminal session ends, making them best for active-session workflows.
• WAT Framework: The framework helps identify which part of an agent's capability needs to be deployed. A 'Skill' is the combination of a Workflow (the 'how') and a Tool (the 'action').
• Context Rot: Claude Code sessions can become bloated over time. Proactive management—like scheduling '/clear' commands—prevents the model from losing focus or hitting token limits.
• Remote Routines: This allows for true 'run while you sleep' capability. Because the task is hosted by Anthropic, it is not tethered to your physical computer, making it more resilient but subject to strict API usage quotas.

Key Takeaways

• Set up a maintenance loop in your current Claude Code terminal session.
• Monitor your daily run count for remote routines.