Alli Alosa provides a deep dive into AI field agents within Airtable, explaining how they function as mini-agents within your database tables.
Show Notes
Alli Alosa provides a deep dive into AI field agents within Airtable, explaining how they function as mini-agents within your database tables. She discusses the evolution of field agent outputs and how users can now work in tandem with the AI within a single field.
The discussion covers practical prompt engineering, including how to reference other fields and how to enable web search tools. Crucially, Alli explains how to manage triggers to avoid wasting credits. She demonstrates why automatic generation can be problematic and shows how to use scheduling, manual commands, and custom trigger simulations to maintain full control over AI usage.
⏱ In this cut:
01:06 — What are AI field agents?
03:30 — Writing effective prompts and using web search
09:44 — Avoiding wasted credits with automatic generation
11:12 — Managing triggers: schedules and manual commands
15:38 — Simulating automation to trigger agents on command
This is a clip from S25-E07 of the BuiltOnAir Podcast.
What is BuiltOnAir?
Welcome to BuiltOnAir, a podcast and video series about all things Airtable. Each week, we talk with someone active in the Airtable community to discuss their experiences and showcase an interesting way they’ve used Airtable in their work.