One of my favorite superpowers of agents is building classifiers. It’s insanely high leverage. Before AI, you needed a year-round team: - 3 ML engineers to build the models - 3 ML infra engineers to scale them up - 2 software engineers to integrate the parts - 1 data scientist to analyze it - 1 PM to manage the product - 0.5 EM to hold it together Now, in minutes, you can have an agent generate a markdown file that classifies inputs, then let agents run continuously against it. Below is a Sentry error classifier I generated at @FactoryAI. But you can build this for almost anything: customer-reported bugs, backend traffic analysis, fraudulent payment activity. Personal use cases too: categorizing credit card transactions, labeling emails, or organizing documents.