With validation in-hand, have your Content Specialists create a broad portfolio of hand-crafted examples of what you want your AI to produce. These examples give you a roadmap for data collection, a strong set of labels to start training models, and a framework for designing large scale labeling protocols.
3 above)…than others. But before you go big and start investing in large-scale data collection and labeling, you’ll want to perform a critical second round of validation using examples that have been curated from real user data by Content Specialists. Your users should be testing out a high-fidelity prototype and perceive that they’re interacting with a legit AI (per point #3 above).