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AI Agent Night Shift Playbook

Set up an AI agent that works while you sleep without giving it an infinite leash. Real configurations, memory systems, Git preflight checks, budget caps, stop conditions, resource safety, and cost optimization from production night shifts.

✓100+ automated sessions completed in production. Now updated with bounded night shift rules.
Updated May 11, 2026 · Added bounded night shift rules, Git clean-state preflight, and resource safety checks.

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What you get

+Complete architecture guide — how autonomous AI agents actually work
+Ready-to-use wake scripts (macOS LaunchD + Linux cron + systemd)
+Git clean-state preflight before unattended edits
+Bounded night shift rules: max runtime, max spend, allowed paths, escalation triggers
+Local resource safety for Mac Mini and local model experiments
+Three-tier memory persistence system (session → weekly → permanent)
+Safety boundaries and kill switches — what to automate vs. not
+Error handling and self-recovery patterns
+Morning report automation — wake up to results
+Cost optimization — real breakdown ($2-5/night for a productive shift)
+Three ready-to-use night shift configurations

Package includes

  • •Practitioner guide (8,000+ words, not theory)
  • •Wake script templates (bash, tested in production)
  • •bounded-night-shift.md — May 2026 safety model for unattended sessions
  • •resource-safety-checklist.md — CPU, memory, thermal, and local-model stop conditions
  • •LaunchD plist + cron + systemd configs
  • •CLAUDE.md template for autonomous agents
  • •Memory system templates (3-tier)
  • •Morning report script template
  • •Error registry template
  • •Cost calculator reference
  • •3 complete night shift configs (research, deployment, content)

FAQ

What do I need to run this?

Claude Code, an Anthropic API key, and a computer that stays on overnight (Mac, Linux, or a cloud VM). The guide covers setup for all three.

How much do night shifts cost?

Typically $2-5 per night using optimized model selection. The guide shows how to pick the cheapest model that works for each task type.

Is this the actual system from the blog?

Yes. Same architecture, adapted as reusable templates. The blog post describes what it does — this playbook shows exactly how to build your own.

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