What marketing lessons come from running AI agents every day?

Short answer: Iliya Valchanov says AI should improve quality, not just save time; coders and marketers lead adoption; and companies without one person leading AI transformation fail. He runs no more than three agents at once.

Watch this answer from Episode 35

Watch this answer from Episode 35 (starts at 12:33) · Episode 35 notes and transcript

What was said on Built This Week

From Episode 35: AI Agents Are Replacing Entire Marketing Teams, starting at 12:33.

Jordan Metzner [12:33]: Yeah. Totally. And tell us a little bit about just, as you guys have been running these agents and whatnot, what are some general marketing learnings that you have taken away that like maybe apply to all brands and businesses looking to market online in today's day and age?

Iliya Valchanov [12:47]: Yeah. So the first thing is it's not about doing stuff faster. It's about doing stuff better. And I think this is a very big misconception. Everybody's like, save time, but actually, save time to increase quality. This is kind of the main learning. And the best users of AI, this is what they do. Another learning that we have is that after coders, marketers are very, very, excited about technology. People in ops are quite excited as well, and other professionals are a bit less excited, I would say. So that's why kind of coding and mark coders and marketers are leading the wave in terms of what gets built and how it gets built. Final thing that I'm maybe interested in learning is every company is going through this transformation right now, and the most important thing they need to do is to allocate one person to be leading this project. Companies that do not have a dedicated person to lead AI transformation, whether it's a five people company or 50 or 500, they fail because they think, oh, I'm gonna get the tools, and it's gonna work. No. No. No.

Iliya Valchanov [13:59]: It's about complete change management and rethinking of the workflows.

Sam Nadler [14:03]: Super interesting.

Jordan Metzner [14:04]: Yeah. Really interesting. I think kind of your comment resonates about kind of, saving time isn't really the key variable here, but, improving the quality of the product that you're outputting is is the output. Because it seems like, with AI we get time back sometimes. Right? These agents can run all night long, and you know, for me sometimes like I don't even have work to give the agent because I'm just like I've ran out of ideas for the day maybe. But you know, to your point, I think it's not necessarily about time, but quality, and I think that that kind of resonates. So it seems like it raises your quality boat of your marketing and increase your brand in that sense, and that's that's obviously pretty interesting.

Iliya Valchanov [14:39]: Yeah. Yeah. Definitely. When somebody tells me, oh, I'm running 50 agents, and I'm like, this is ridiculous because, you cannot process the output of 50 agents. And, I can run no more than three agents at the same time. I don't know about others. But they're so agents are so fast at getting the job done that, by the time I run the third agent and I give it the context, the first one is ready. So Yeah.

Jordan Metzner [15:06]: I feel similar to you. I think, like I mean, it seems like we're now starting to get at the like multi level agent orchestration level, kind of running this symphony as OpenAI calls it, kind of, being the master of ceremony with all these sub agents. But, yeah, I kinda feel similar, I've seen people who have like an insane amount of agents running, and I don't understand as my agents like not busy enough, and I wish I could give him more work. So I don't understand why I need to multiply that, but I don't know. Maybe it's, it's just an early days, and hopefully, we'll all learn how to be better working with agents and sub agents and orchestrators of agents, etcetera.

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