Build feedback loops into the workflow. We try to present work in a way that either a human or a computer could complete it — see last point: like a human, ML is bad at answering nuanced questions but good at identifying and labeling things in text. Because the work is structured this way, the feedback loop is built right into the workflow. Every time a human completes a task, the ML gets more confident about completing the same task in the future. As the ML automates away more and more complex work, the human’s job becomes simpler and simpler.