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n. / AI agents
AI engineering lifecycle
Definition
The AI engineering lifecycle is the loop from observing production agent behavior, to curating datasets from that behavior, to running experiments, to releasing and monitoring the result.
In more detail
The lifecycle closes the gap between production evidence and the next release: a trace or user signal becomes a dataset case, the case evaluates a candidate change, and the release is then monitored against the same evaluation criteria.
Related terms
