I built an AI agent that automates >50% of boring PM tasks with Airtable's VP of Product Anthony Maggio. No code. No complex setup.

We're covering use cases you haven't seen elsewhere:

• Sourcing beta participants for your next feature

• Automatically aggregating research

• Airtable Cobuilder for app building

We also cover how Airtable grew to an $11.7B valuation.

And how it builds product.

Check out today's epic episode:

• YouTube: youtu.be/vh-urCCJhTs

• Spotify: open.spotify.com/show/7…

• Apple:

And please subscribe - it really helps.

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Here were some of my favorite takeaways:

1. 6 Ways Airtable You Can Automate Your PM Workflows:

• Auto-triage product feedback so you’re not buried in scattered comments

• Aggregate and summarize user interviews from tools like Zoom or Gong

• Track competitors with automated monitoring, no manual research needed

• Build a connected research repository that turns transcripts into insights

• Identify beta users by querying customer data with natural language

• Use CoBuilder, just describe what you need, and it builds it

2. How Airtable Builds Products: Model-First. Airtable’s team constantly balances:

• How much to abstract

• When to offer smart defaults

• How to progressively reveal power as users grow

If the model is wrong, no amount of UI can save the experience.

3. The strongest PMs at Airtable:

• Think deeply about how data moves through the system

• Understand when to hide complexity vs. expose it

• Design for builders and operators, not just users

• Can lead cross-functional teams without playing traffic cop

4. Product Lessons from Airtable’s growth to $11.7B:

Flexibility is powerful until it paralyzes!

Early Airtable was a builder’s dream: you could create almost anything.

But this came at a price, people didn’t know where to start.

Here’s how Airtable evolved:

• Added stronger defaults so teams didn’t start from a blank slate

• Built templates and opinionated UIs to steer users toward best practices

• Invested in tools like Product Central to show how internal teams use Airtable at scale