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A practical guide for Bash users to adopt safe AI agent planning without new frameworks: pick a strategy (Reactive, decomposition, tree search), encode steps as JSON (jq) with checks and rollbacks, execute via a dependency-aware Bash runner with timeouts, dry-runs, and logging, visualize DAGs with Graphviz, and apply real-world examples using an LLM planning template.