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Set up end-to-end AI automation for Linux fleets: collect OS signals on a systemd timer, analyze them with a Python script hitting an OpenAI-compatible API to produce a summary, risk, and proposed Ansible playbook, then dry-run in Ansible check mode for human-approved remediation - lightweight, idempotent, auditable, and extendable to GitOps/CI.