Airtable Release Notes

Hey Builders!

We’re launching two updates to AI Labs that give you more control over how and when your field agents run, and that make them easier to configure.

Field agent generation triggers

Until now, field agents could only run in two ways: automatically whenever referenced fields changed, or manually when you clicked to generate. Now you have the option to run field agents automatically on a schedule or when a condition is met.

Trigger types

• [new] On a schedule: Runs at a particular time
  • Scheduled triggers can also have conditions applied to the schedule, to only run a subset of records on the schedule
• [new] When a condition is met: Runs when a record meets the specified condition(s)
• [existing] Run automatically: Runs when the field agent’s referenced fields change

Example use cases

• Competitive price monitoring: Run every morning to pull updated competitor news via internet search.
• Contract renewal warnings: Fire when days-until-expiry crosses 60, generating a renewal strategy from contract terms and customer history.
• Conference attendee enrichment: Run when an individual is marked as “Attending”, pulling info about their bio automatically.
• Weekly PM digest: Every Monday morning, pull comments from GDrive PRDs and surface a summary of open issues.

A few things to know

• Triggers are a part of field agents — they do not show up in Automations and do not count against your automations budget.
• Scheduled and conditional triggers can be paused and resumed. When you resume, your previous settings will be pre-populated.

Redesigned field agent config

Alongside triggers, we've shipped an updated config experience for all field agents.

What's new:

• More space for your prompt — We've expanded the prompt writing surface based on your feedback. The prompt area can now be expanded to give you more space for drafting.
• @ symbol for field references — In addition to the existing { shortcut, you can now use @ to reference fields in your prompt.
• Clearer settings organization — Field agent configuration is grouped into 3 sections:
  • Inputs: Field agent name, type, tools, and model are grouped at the top of the config
  • Prompt and preview: You can view the prompt and preview in the config, or expand to see the larger prompt/ preview surface
  • Outputs and triggers: The bottom section contains output-related settings - select options, formatting options, etc. It also contains the triggers listed above.

We're excited to see how you put triggers to work. Have a use case you're building toward? Drop it in the comments below 👇

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Hey Airtable Community,

We're excited to announce two key updates for Enterprise Scale customers: a brand-new Databricks sync integration and expanded custom SQL support for both Databricks and Snowflake.

What's new

Databricks is now available as a native sync source. And for both Databricks and Snowflake, you can now sync the result of any custom SQL query, not just predefined views or tables, directly into Airtable.

This means any user with permission to execute queries within a warehouse can write precise queries to sync data to Airtable tables on a schedule, ready for automations, interfaces, and cross-functional workflows.

Why this matters

Data warehouses hold your company's most trusted data, but that data has historically been locked behind SQL and BI dashboards. With these syncs, you can operationalize warehouse data directly in Airtable: users can enrich warehouse data with local context, trigger automations on data thresholds, surface prioritized records for sales and ops teams, and power reporting interfaces and dashboards for leadership.

Some use cases we're seeing:

• Lead prioritization: Sync a curated ML lead-scoring dataset from Snowflake to surface high-intent accounts for BDRs, enriched with AI-drafted outreach in Airtable
• Performance monitoring: Sync performance monitoring to operational teams. Use Databricks to calculate SLA violations or usage anomalies and trigger escalation workflows automatically. Databricks powers the analysis, Airtable is where support, engineering, and leadership teams action on the results.
• Marketing and ops tracking: Pull aggregated metrics from Databricks into Airtable to power campaign management, approval workflows, and stakeholder reporting

What you need to know

• Available on Enterprise Scale plans only
• Record limit: 100,000 records per sync
• Requires a one-time admin setup

Admin setup required

Both Snowflake and Databricks sync require admin setup from both Airtable and data warehouse admins. We use OAuth to connect to both platforms, so after this one-time configuration, all users within your organization will be able to connect from Airtable.

See full instructions here.

If you already have the existing Snowflake integration configured, the new custom SQL and scheduling options are available to existing Snowflake connections with no re-configuration required. All you need to do is start setting up a new sync table from Databricks or Snowflake.

What are you planning to build on top of your warehouse data? We'd love to hear what use cases you're unlocking.

Original source Report a problem

Hi everyone,

I'm Akshar Patel (AP), a Product Manager here at Airtable. Today I'm excited to share three updates that make it easier to collaborate with your team directly inside Airtable, so you don't have to jump across tools to keep conversations moving.

Whether you're giving feedback on a record, tracking what's been addressed, or trying to find that one notification from last week, these updates are for you.

1. Attach files directly to comments

You can now attach files (images, PDFs, videos, documents, and more) right inside your comments on a record.

Instead of describing what you're referring to or linking out to another tool, drop the file directly into the conversation. Think design mockups, screenshots of bugs, signed contracts, or reference docs.

How to use it:

• Click the paperclip icon in the comment input area, or drag and drop files directly in
• Each comment supports up to 5 attachments (max 10 MB per file)
• Click any attachment thumbnail to open it in a full-screen viewer with preview, navigation, and download

You can then filter your activity feed to only show comments with attachments, which is handy when tracking down a fileshared a few weeks back.

Note: Adding attachments to comments is not currently supported when attachments are configured for "versions mode," but this functionality is planned for a future update.

2. Resolve comments when you're done with them

This one has been a long time coming.

If you've ever used a record's comment thread to track feedback or action items, you know the pain of scrolling through old comments trying to figure out what's still outstanding. Now, once something has been addressed, just resolve it. It's a small action that makes a big difference towards keeping your team aligned.

How to use it:

• Hover over any comment and click the Resolve button
• Resolved comments can be filtered in the activity feed so you can quickly see what's been handled vs. what still needs attention
• You can reopen a comment if it needs to be revisited

Note: Comment resolution is not yet available with attachment comments, but support for that is coming soon.

3. Search your notifications

Your notification inbox now has a search bar.

If you're someone whose notification bell permanently reads "99+", help has arrived. You can now search by the person who tagged you, the base name, or even the primary field value of the record. No more scrolling through hundreds of notifications trying to find the one you're looking for.

How to use it:

• Open the notification panel and type your search in the search bar at the top
• Search works across notification content, including person names, base names, record names, and comment text

Try it out

These three updates are all about reducing the friction from how your team communicates within Airtable. We want the conversations happening to be useful, organized, and easy to find.

We'd love to hear how you're using these features. Drop a comment below with your thoughts or feedback — it helps us prioritize what to build next.

Thanks for being a part of this community!

— AP

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We're launching the Airtable Creator Club

We're launching the
Airtable Creator Club, a program to amplify builders who create short-form video content showing the AI use cases they've built on Airtable.

We're not necessarily looking for people with massive followings. We're looking for people who actually use Airtable to solve real problems and are willing to show off their work on camera.

(FYI: the Creator Club is the “always-on” extension of the one-time
Community Creator Challenge we ran in December/January)

Who we're looking for:

1. Airtable builders who are already posting video content
2. Airtable builders who are eager to learn content creation
3. Content creators who are eager to learn Airtable deeply

We're specifically interested in use cases that centrally feature our AI capabilities such as agents, Omni, and custom interfaces.

What you’ll be doing:

Creating 2-4 vertical short-form videos per month showing AI use cases you've built. Talk to the camera, show what you’ve built, say why it’s such a big deal. The kind of thing that makes someone watching think, "wait, I need to try that." See examples at the bottom of this post.

What you get:

• Unlimited AI credits in a dedicated workspace for you to build and experiment
• Early previews of new features before they're public
• Direct access to the Airtable team for help building your AI use cases
• Gear and production support to make your content look great
• Amplification from Airtable's brand channels
• Exclusive swag
• Compensation for videos we run as ads

Apply now:

» Fill out the short application form here «

Don’t spend more than 5 minutes on it! We simply need to see you’re either deep on Airtable or deep on video content creation, and ready to learn the other half if needed.

We'll review applications on a rolling basis. First cohort kicks off soon. Spots are limited.

Drop questions in the comments. And if you know a builder who should apply, share this post with them.

Examples:

• Audio engineer management
• Product cost analysis

Original source Report a problem

Today we're rolling out the deep match field agent, a new type of field agent that finds and links the most relevant records from your data.

What is the deep match field agent?

This field agent intelligently surfaces the most relevant records from across your tables and links them together — automatically. Instead of manually hunting for connections between records, deep match reads your data, understands the context, and makes the match for you.
Whether you're connecting related products, routing feedback to the right team, or pairing opportunities with the best fit, deep match field agent does the heavy lifting so you don't have to.

How teams are using the deep match field agent

• Match sponsors to podcasts: Podcast networks are using deep match field agent to pair new sponsors with the right shows in their catalog — based on audience, content themes, and more.
• Route customer feedback to product owners: Analyze free-text feedback forms and automatically link responses to the relevant product areas, so the right people see the right input without any manual triage.
• Benchmark new work against historical data: Retailers are using deep match field agent to identify similar products from historical records to find cost benchmarks — all within the same table.

A few things to know

• Deep match field agent can currently search across plain text fields only.
• The agent can choose to read any fields in the target table. If you want it to ignore certain fields, you can specify that in the prompt.
• When linking to or from large tables, initial matches may take a few minutes to appear. Subsequent matches should come through more quickly.

We can't wait to see what you build with deep match field agent. Have a use case you're excited about? Drop it in the comments below! 👇

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Introducing Google Drive and OneDrive connectors for Field Agents

NEWS

Today we’re excited to announce the launch of Google Drive + OneDrive connectors in field agents—a powerful new way to connect your files directly to your Airtable workflows. You can now direct field agents to search, reference, and summarize content from your Google Drive and OneDrive documents. Key use cases:

• Get up to speed with context: Instantly search for background information and insights from your Drive or OneDrive to ramp up on new projects—no more digging through folders or old documents.
• Summarize comment threads: Quickly generate overviews of conversations on a document, such as a product requirements doc, so you can drive alignment.
• Search knowledge bases to answer questions: Surface answers from documentation or support articles stored in your cloud drives to resolve questions faster and keep your team moving.
• Refer to specif

Original source Report a problem

• 🥇 We partnered with Rob Weidner (​@Rob_Weidner1) to build the ultimate Fantasy Olympics app on Airtable (in 2 days).
• And you can copy the whole thing and make it your own.
• » Explore it here «

How it works

• 📊 Submit predictions for upcoming events and compete on the live leaderboard
• 📣 Get daily AI-generated digests of results and highlights
• 🔍 Explore historical Olympic data going back decades

And we want you to remix it into something even better.

First, make your picks. Submit your predictions for upcoming events. Track the live leaderboard.

Then, sync the data. Pull these Olympic datasets directly into your own base.

Make a copy, tear it apart. Adapt these techniques to your own apps.

Play along and build something awesome!

Next week, we’ll hear more from Rob about how he built this incredible app in just 2 days.

» Explore it here «

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