Anyone with a computer can put AI agents to work. This talk shares real experience building supervised agentic workflows for sensitive research and forecasting using open-source tools, local models, and public sources. Covers architecture, privacy routing, harness design, evaluation loops, and keeping human judgement visible when machines do the heavy lifting.