65Build an anomaly-detection system when you have almost no labeled anomalies.▼hardStripeDatadogMeta1 replies◆ premiumAlmost no labels means you cannot train a classifier and you cannot honestly report recall. The senior answer is to score by typicality, threshold by the customer's review budget, and build the labeling flywheel that turns this into a supervised problem within two quarters.Open full answer →
27A customer wants user-level consumption tracking to prevent abuse of their AI product. What approaches are available?▼hardOpenAISalesforceGlean1 replies◆ premiumA real customer ask from the field, and a layered design question in disguise: attribution, budgets, anomaly detection, and enforcement, plus the attribution problem that decides whether any of it works.Open full answer →