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Turn your AI projects into reproducible, hands-off labs with a Bash-first workflow. This guide gives Linux-based researchers and MLEs a drop-in labctl skeleton to standardize environments, version data/models with Git LFS, batch runs via GNU parallel/tmux, containerize with Docker/Podman, and auto-evaluate/report via jq and cron - yielding portable, auditable experiments that run the same on laptops, servers, and CI.