Summarize your data & extract insights with Airtable AI

Digital collaboration has become absolutely essential in modern business, but keeping up with so many different conversations, threads, and data sets can be tough. Our AI features allow you to quickly understand vast amounts of data by relying on AI-generated summaries and analyses. Understand long threads at a glance without reading every comment, review the highlights and action items coming out of an important meeting, glean insights on user feedback to respond faster than ever, and more.

Get started with Airtable AI today to start working faster, collaborating better, and focusing on what matters. 

How to summarize comments in Airtable

Summarizing comment threads is a helpful way to stay up to date on important conversations in your organization. 

This feature allows anyone with comment access or on an interface to generate a summary of the comment thread. That summary is then available to all users on that interface to view until new comments are added, when the summary can again be generated.

Summarize data with an Airtable template

Outside of in-thread comment summaries, the easiest way to get started with summarization using the AI field is to use one of our pre-built templates. There are two key templates we recommend for common use cases:

We recommend sticking with the “enable the best models” setting in the field config when doing summarization because these models are better at following directions and writing clearly and concisely.

If you want output in a different format or have more specific instructions, it’s best to use a custom summarization prompt.

Advanced AI-powered summaries 

Custom prompts

If you’ve started with a template but want to build a more flexible AI query, you can convert your templated query to a custom one by clicking the “change to a text box” button.

Now that you have a custom prompt, you can edit any part of the prompt or delete it all and start from scratch. You may want to try:

Here’s a custom prompt written to extract very specific information from a call transcript:

Incorporating AI summaries into Automations

In Automations, you can create an action which makes a query to an LLM and gets back a response. You can then use that response in any of the ways you use Automations today - write an email, create a doc, post to Slack, write to a field in a base. In addition, you can input that response back to an LLM, creating the ability to chain LLM calls together. 

Here are two examples of how you might incorporate AI into your Automations logic:

Example #1: Send an email summary of meeting notes from the previous week

Example #2: Send an email summary of new product features that launched in the last week, or that are launching in the next week

Try it now

With this feature at your fingertips, it’s easier than ever to distill vast amounts of information from comments, user feedback, and meetings into concise and actionable insights. You can get started using one of our pre-built templates for simple use cases, or customize an AI-powered workflow through prompts and Automations. 

Get started using Airtable AI today! As always, we welcome your feedback and suggestions as we continue developing new AI-driven features for Airtable.