Automation starts with repeatable processes.
In this week’s Tech Tuesday article, cooking becomes a practical analogy for deterministic systems versus adaptive AI. Commercial kitchens rely on strict timing, measurements, and safety systems because consistency matters. Adaptive AI becomes useful when conditions shift unexpectedly — ingredient shortages, spoilage risks, unusual customer requests, or changing demand.
The article also connects these ideas to W. Edwards Deming’s quality-control philosophy: problems are easier to solve when systems detect issues early instead of after failure occurs.
One important takeaway remains constant: the cook stays in command. AI assists decision-making. Humans retain judgment and accountability.