The team explores advanced workflows for managing AI agents, specifically how to use formulas and triggers to prevent an AI from overwriting manual human edits. They demonstrate using "last modified" fields and custom checkbox logic to create a "global stopper" for automations. They also dive into the various output types available for field agents, including single and multiple select fields, number formats, and image analysis for tasks like extracting data from receipts. Finally, they demonstrate the utility of web-searching for images, such as company logos, and share a practical example of using AI agents to research hotel amenities and reviews for travel planning. ⏱ In this cut: 01:05 — Protecting human edits from AI overwrites 02:51 — Using formulas to control AI triggers 11:44 — Exploring AI output types and image analysis 12:36 — Finding company logos via web search 16:23 — Real-world use case: AI for travel research
This is a clip from S25-E07 of the BuiltOnAir Podcast.