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Today's podcast guest is Howie Liu
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What Howie Liu said
Written from the verified transcript and checked against it. Every figure links to the moment it was said.
Howie Liu, CEO of Airtable, discussed creative and functional use cases for HyperAgent, its AI agent product. He described using HyperAgent to plan a billboard campaign in New York, LA, and SF, where it cross-referenced inventory with Google Street View and Maps, and used image models like Nano Banana to generate mock-ups. He also mentioned generating Super Bowl ad concepts, though the company didn't run one. Liu demonstrated a chief of staff agent that reads emails and Slack, and an X monitoring agent that pushes relevant alerts via Telegram. He argued for democratizing AI agents, drawing parallels to personal computing history, and contrasted this with complex, expensive deployments like Palantir's government work. He emphasized the need for constant testing and adaptation in tech.
Key takeaways
HyperAgent can chain tools like Google Street View and Nano Banana to create realistic billboard mock-ups for campaigns in New York, LA, and SF.
Liu uses HyperAgent as a chief of staff, reading emails and Slack to draft replies and flag important messages.
An always-on X monitoring agent pushes relevant alerts to Liu via Telegram, filtering for his interests.
HyperAgent launched around the holidays, and Liu has used it to generate Super Bowl ad concepts for potential future use.
2:53Can you show me some of your productivity use cases?
4:45And so, you know, it's this funny loop of like what happens when it's really just like our agents posting and consuming all the content on our behalf, right?
I personally like, you know, kind of these multimedia related use cases. So, what I mean by that is, you know, sometimes for fun and sometimes for like actual kind of, you know, functional marketing purposes, I like to have HyperAgent go and create like marketing ideas. So, at one point we actually did do a billboard, a small billboard campaign for HyperAgent announcing the launch of it. And I had it go end-to-end sourcing the actual billboard location. So, we worked with a vendor that had basically a list of all the billboards that were available. One on One, or are they here?
It was in New York, LA, and SF. And so we grabbed all the inventory and then it had all the specific locations like what street it was on. And then HyperAgent was able to process all of those locations, cross-reference them with Google Street View and Google Maps. So, it can literally put them on a map and then even show like the street view point of view of like here's what that billboard looks like on the street. And then best yet, because it's very versatile in terms of being able to chain together different tools, it was able to take those street view images and then pass that in to leading image models like Nano Banana and then use that to generate a really high-fidelity mock-up of what our billboards would actually look like. You know, so it took real-world location shots, mashed that up with like our actual kind of campaign imagery which it created based on the concept, and then could help us visualize like here's literally what that billboard on Sunset will look like. I thought that was very cool.
And then, you know, I think like we ended up not, you know, we weren't around long enough to do a Super Bowl ad. We just started HyperAgent basically around the holidays. But, you know, had we done a Super Bowl ad or maybe for next year, you know, I used HyperAgent to go and generate some like actual video concepts, right? So, again, it's able to like come up with concepts combining, you know, real product marketing understanding of like what does this product do? We fed it or gave it access to our documentation for HyperAgent. So, very meta, but like HyperAgent was then able to learn about all of the capabilities and differentiation of HyperAgent. And then to be able to go and come up with really good marketing concepts that it could cut up into different scenes like a screenwriter or like a director of a Super Bowl ad script and then actually generate really high-quality production-grade videos using a voiceover in this case from Google so that it actually looked like a real Super Bowl ad. So, I think, you know, I like the creative use cases because they're just so immediate and visceral. But of course, I also have like many functional use cases, chief of staff use case where it's reading my emails and Slack all the time and pushing me anything that needs my attention. So, saying, 'Hey, you just got this really important email from somebody, a customer or a partner or an investor, you should probably respond to this and here's even a drafted reply.'
Okay. So, this is actually a demo account of mine that's realistically recreated based on my actual usage. My actual usage has everything in mine like all of my, you know, like calendar, my emails, everything. So, it's a little sensitive. Either you can have it go on a recurring schedule or like similar to Open Clock can have a heartbeat mode where it's always, you know, waking up and checking new stuff and then pushing you messages either via Telegram, it could be via Slack, it could be via email. But you can kind of set up how you want. I like Telegram because then it just feels like it's almost like a personal assistant like messaging you all the time. You can respond to it. I mean especially Telegram if you have the bot living in your group channels already with your team, then you can just at mention the bot and say, 'Hey, you know, go research this thing on behalf of the team.' Go create a caption for this post.
Exactly. Okay, so here's one that is one of my personal favorites. So obviously, you have to be on top of Twitter X like 24/7 now to like keep up with all the latest news. It's all happening so fast. It's kind of overwhelming. And sometimes I feel like I just like I forget to check X and I miss some really important stuff. So I have one agent whose entire job is just to constantly watch X. And literally it's like doing this like all the time, 24/7. And then it's making a judgment call. It knows enough about me and what I care about and Airtable and HyperAgent that it can push to me messages alerting me, you know, when there's something interesting only when it's actually relevant to me, right? And it can even like frame this around like why is this relevant to you, to Howie.
7 more exchanges in this transcript
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Liu, H. (2026, June 3). Airtable CEO Live Demo [Interview transcript]. Silicon Valley Girl Clips. CEOInterviews.AI. https://ceointerviews.ai/interview/1188443/
MLA
Howie Liu. "Airtable CEO Live Demo." Silicon Valley Girl Clips, 3 Jun. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/1188443/.
BibTeX
@misc{liu2026_1188443,
author = {Howie Liu},
title = {Airtable CEO Live Demo},
howpublished = {Interview transcript, Silicon Valley Girl Clips. CEOInterviews.AI},
year = {2026},
month = {jun},
url = {https://ceointerviews.ai/interview/1188443/},
note = {Speaker-attributed transcript with timestamps}
}
