A notebook that works once is not a product. Production ML needs data contracts, monitoring, and a rollback story.
Freeze the interface
Define input and output schemas early so product and engineering can build around a stable contract.
Evaluate continuously
Ship with offline metrics and online monitors. Drift happens; silence is the real failure mode.
Plan the fallback
Every model path needs a deterministic fallback when confidence drops or latency spikes.