In this lab, Zach walks viewers through the powerful capabilities of NAN for creating AI pipelines—task workflows analogous to data pipelines. He explores various triggers, including manual activation, app events, form submissions, and scheduled triggers, emphasizing the importance of efficient automation. Zach demonstrates a workflow that scrapes LinkedIn profiles and evaluates candidates for a data engineering bootcamp, while highlighting the need to improve email formatting for clearer communication. He also addresses how to minimize API calls by using Google Sheets as a cache for storing LinkedIn data.