Courts IT documents experiment tracking before promoting a model into the shared inference pool. Which lifecycle contrast are they capturing?

Courts IT documenting experiment tracking before promoting a model into the shared inference pool is capturing that experimentation and development precede controlled promotion into production serving. Trials, metrics, hyperparameter notes, and tracked runs happen in the development lifecycle stages; only after acceptance does the model join the shared inference pool used by production workloads. Production serving metrics do not provide controlled versioning for experimentation tracking; versioning, trials, and run logs happen during experimentation and development, while production serving metrics occur downstream after controlled promotion into the shared inference pool. Staged validation results do not precede controlled promotion into experimentation tracking; validation in staging is the pre-promotion gate that precedes controlled promotion into production serving in the shared inference pool, while experimentation tracking happens earlier in development. Shared inference pools do not provide controlled execution for offline training iterations; the pool provides controlled execution for production serving after promotion, while offline training iterations occur earlier in development. Exam caveat: shadow or canary serving can blur lines between experiment and production, but the documented contrast remains experiments first, then controlled promotion. Operational check: require experiment IDs, metrics, and approval before a courts model artifact is registered into the shared inference pool, and block unlabeled notebook promotions that skip that gate.