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A hands-on guide to running AI with GitOps from the terminal: containerize a minimal FastAPI + scikit-learn model, version manifests in Git, and use Flux to reconcile Kubernetes for deterministic deploys, rollbacks, and drift control. Covers tooling setup, 5-step workflow, Makefile-driven releases, and production tips (digests, canaries with Flagger, secrets, observability) plus staging to prod promotion via PRs.