Most agency owners know AI can write a first draft or clean up copy. Far fewer have figured out how to use it as the strategic sounding board they’ve always needed. In this episode, Chip and Gini explore how to use AI tools as a thought partner, not just a content machine. Gini’s example is a client who asked her to map what a PESO model maturity ladder would look like for an organization. She described the situation and constraints to Chat GPT, and keep pushing the conversation forward. Six weeks of iterative back-and-forth surfaced ideas she wouldn’t have reached on her own, including finding the gaps when the AI was willing to poke holes in her thinking. Chip points out that for owner-led agencies, that 8pm Friday idea you don’t want to dump on your team now has somewhere to go. The tool doesn’t care what time it is, and it has no stake in whether your idea succeeds or embarrasses you. Both hosts advise to direct the AI to ask you questions rather than just answer them. It takes some coaching to get a tool that genuinely engages rather than validates everything you propose, but once you’re there, you start getting real value. One warning they have is that these tools are not always consistent. The same AI that helped you build a strategy three weeks ago might question it today with equally compelling reasoning. Stay in the driver’s seat, and treat AI-generated recommendations as input, not conclusions. Key takeaways Chip Griffin: “You now have this always-on thought partner that, when that idea comes to you when you’re watching some Law & Order rerun or whatever, you can ask, ‘Hey, I just had this idea and what do you think of it?'” Gini Dietrich: “AI has really helped me just kind of think through some things that I hadn’t considered, some things I probably wouldn’t have considered, and it also helped poke some holes.” Chip Griffin: “The gap analysis is something that the AI tools do exceptionally well. And part of it is just making yourself vulnerable to it and it’s not judging you, because it doesn’t care.” Gini Dietrich: “The AI knows it can’t get fired. So it doesn’t have the same experience as one of your employees.” View Transcript The following is a computer-generated transcript. Please listen to the audio to confirm accuracy. Chip Griffin: Hello, and welcome to another episode of the Agency Leadership Podcast. I’m Chip Griffin. Gini Dietrich: And I’m Gini Dietrich. Chip Griffin: And Gini, I think we need to talk to the robots today. Gini Dietrich: Yes, I love talking to the robots. Let’s do that. Chip Griffin: It’s a robot future, and we just, we need to, we need to figure out, I don’t know, some new ideas or something like that. Maybe we should have a conversation with our friendly neighborhood robot. Gini Dietrich: I like it. Let’s do that. You- Chip Griffin: Actually, that would be a, that would be a good episode at some point to actually- Gini Dietrich: It would be a, yeah … Chip Griffin: to, you know, we could have our first guest. We could have, like, Claude as our first guest on the show. Gini Dietrich: I love it. We should do that. That’s a good idea. Chip Griffin: And, and, and see how that goes. Gini Dietrich: Yeah, let’s. Chip Griffin: I don’t know. Maybe that’s not a good idea. Who knows? Anyway, we are going to talk about AI today, ’cause we haven’t talked about AI at all lately. Nope. And we won’t be talking about it soon when we have the Saga AI survey results to talk about, hopefully on the next episode. But we thought we would talk today about AI in more practical terms because we’ve done a lot of talking about AI in, in sort of high-level strategic ways and how important it is to agencies and how we need to be thinking about it and integrating it and thinking about the costs of it and all of that kind of stuff. But I think it’s helpful for us to have some conversations with and for our listeners about some practical uses of AI that, that we’ve used, that we’ve come across, that we use ourselves- Yep … in order to, to get the maximum value out of this new technology. And, a good place to start is how do you use whatever platform of choice you have, or maybe multiple platforms of choice, to help you as a thought partner to not just, you know, write things and spew stuff out more quickly or something like that, but really to hone ideas, to get advice, to have someone to bounce things off of. And I mean someone in quotes here because, yes, I know it’s not human, okay? So don’t- … don’t send me notes about how, “You know these things aren’t real.” I know that, okay? Gini Dietrich: I do know that. I got it. Yes. I am aware. Chip Griffin: So- Gini Dietrich: Yeah, I think it’s, I think it’s such a… First of all, it’s a good topic, and I think it’s something that’s fun for the two of us to talk about because I think we’re both, like, full-on in. For me, when I realized it could be a thought partner for me, it was two and a half years ago, and a client came to me, and they came to me specifically, and they said, “We would really like to understand what the PESO model maturity ladder looks like, especially inside an organization like ours.” And, at the time, I had an idea of what the maturity model looked like just generally, right? But being able to apply it to a really specific situation and a really specific organization and really specific brands, I hadn’t thought through yet. And of course, I can’t put the client’s information in there, right? But I can think about, I could… I, at the time I was like, “Okay, so how do I start to think about this with the constraints that I know they have and sort of how they run PESO now, which isn’t in a true operating system, but more sort of pick and choose tactics.” So I went into, at the time, ChatGPT, and I think Claude does a better work of this now, but I went into ChatGPT and I started asking questions. “So if you had to create… First of all, if you had to create a PESO model maturity ladder based on these seven sort of levels that I had already thought through, how would you do that?” And we just went back and forth, and we asked each other questions. And it would, it, it came up with some things where I was like, “Huh, hadn’t considered that.” So then I would sort of put those over to the side and we would continue. And then I said, “Okay, great. Now here are some some constraints, right? We know, we know it has these, the organization has these constraints. We know that it takes, you know, six, six to eight months to be able to do anything, like all of this stuff. How would you change it based on that?” And so we went back and forth on that. Now, granted, it took probably six weeks for me to get something usable to be able to take to the client, but I wouldn’t have been able to come up with that on my own. And I don’t think that even conversations with my team, we would’ve been able to come up with the, all of that on our own. And so it really helped me just kind of think through some things that I hadn’t considered, some things I probably wouldn’t have considered, and it also helped poke some holes. So then I said, “Okay, great. Here’s what I’m thinking. Poke holes in it.” And it was like, “This doesn’t work, this doesn’t work, this doesn’t work.” And so it just helps you… It was at that point, which I think was two and a half years ago, it was, it’ll be three years in August, really think it, think through sort of beginning to end that I wouldn’t have been able to do on my own. Chip Griffin: Yeah, I mean, I think that’s a great discussion of your evolution on that, and in my case, I was, I was later to the AI party in terms of In-depth use of it. Gini Dietrich: Mm-hmm Chip Griffin: I, I was very early on to kick the tires, which may have been to my detriment, right? Because the very early incarnations of a lot of these tools was not the best. Gini Dietrich: Not good. Chip Griffin: And, so I, you know, I certainly was, you know, spending a fair bit of time using it for, you know, the basics. You know, some basic writing and editing, some basic image creation. Certainly, you know, transcription, speech-to-text, those kinds of things. But a lot of that, but not really as much in the in-depth strategic areas- Gini Dietrich: Sure, sure … Chip Griffin: until probably a little over a year ago when I started to realize that there had been this shift and that it, it was, at least to me, a lot more usable. And, really just, you know, opening my mind up to what you could actually do with the tools beyond the simple use cases. Gini Dietrich: Yep. Chip Griffin: And I think the more time you spend with it, the more you realize just how helpful it can be. And, and particularly in, you know, small owner-led agencies, the… You know, we’ve all sat there and we’ve had an idea at, you know, 8 o’clock on a Friday night or over the weekend, and we’re like, “God, we, I wish we could…You know, I can’t bother the team with this right now though.” Yep, yep. “But I kinda, I kinda wanna continue thinking this through.” Yep. And so you now have this- Yep … you know- Thought partner … always on thought partner- Yep … that, you know, when that idea comes to you, when you’re watching some Law & Order rerun or whatever, you’re like, “Hey, you know, I just had this idea and, you know, what do you think of it?” And, it feels weird the first few times you do it, this, to sit there and say to, you know, the chatbot, “Hey, what, what do you think of this idea?” And, but you learn so much from it because it is, it is able to ask questions, to poke holes, to find