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Applied AI and ML

Ask whether the work has a measurable signal

Any metric that can be evaluated efficiently creates the possibility of an automated improvement loop. Agents can try changes, measure the result, keep what works, and repeat.

For any domain, ask whether you can test the outcome reliably enough. If you can, this pattern can work outside code and model training.