AI Announcer (00:05)
Good evening. This is the podcast crafted specifically absolutely fed up with all the AI hype and are hungry for the real deal. Join Clinton Greg as they slice through the chaos, delivering insightful analysis and practical playbook help harness and go-your business and let's face it not getting left behind in this fast-paced world. Now without further ado, let's go to our hosts.
Greg (00:43)
everyone, welcome to the podcast. I'm Greg. My co-host Clint and I started this podcast to explore how business leaders are using AI in the real world. We found that our friends and colleagues aren't just talking about AI, they're actually building with it. So we decided to bring them in one by one to share their stories. And that's prompt this. Now I'm the sales guy. My career has been focused in sales leadership.
I've run many sales teams during my career and have learned to harness the power of blending AI systems with human effort to succeed.
Clint (01:15)
And I'm Clint. I'm the entrepreneur starting, buying, and selling software companies. I really wanted to learn what's happening in the world of AI and figured Greg and I could turn that journey into a podcast. Greg, who's our guest today?
Greg (01:31)
Today's guest runs a marketing agency serving a variety of healthcare sectors and has adopted AI into every aspect of how she gets her job done.
Clint (01:40)
As
I look back on the episode, ⁓ one of the things that really stood out to me was her comments on how AI has become this impartial referee for cross-functional teams, basically using AI to generate options and cite sources and even pressure test ideas. I thought that's something that really resonated with me. I've been seeing the same myself.
Greg (02:03)
Yeah, you know, I really like how she discusses the use of AI and mining the massive amounts of product data needed to create these marketing campaigns and strategies in her industry.
Clint (02:14)
Definitely. Well, let's hear what she has to say and jump into the episode.
Today's guest is a powerhouse in strategic marketing and a true architect of brand growth, Margaret Freytag. As principal at Miramar Consulting, Margaret brings a sharp visionary approach to helping businesses build and scale with purpose. She's not just a strategist, she's a builder, a connector, and a catalyst for transformation. Let's dive into her journey, her philosophy, and the stories behind the strategies.
Greg (02:53)
So be sure to stay with us till the end where we go over this week's AI challenge. So welcome, Margaret.
Margaret Freitag (03:01)
Thanks so much, Clint and Greg. It's great to be here with you guys today.
Clint (03:07)
Well, we're excited about this one. I'm really quite keen to dig into how AI is not just helping you as a marketer, but how you're seeing AI unfolding in the world of healthcare, too. That's a really neat topic.
Margaret Freitag (03:21)
Absolutely.
Clint (03:22)
So I got my first question for you. What was the biggest surprise, positive or negative, when you first started using AI in marketing?
Margaret Freitag (03:34)
When I first started using AI in marketing, you very quickly learn that the answer to your question is as good as the prompt that you give it. So you really have to work on how to interact with the AI and experiment with it on an iterative basis to really get very deep results that you're looking for. I would say the other thing
that surprised me was how clever it is in recommending next steps sometimes. So it gives you your answer and then it says, would you like me to do X, Y, and Z? And you're like, well, absolutely, please do. So ⁓ the invitations it gives you to unpack things in different directions can sometimes be ⁓ quite creative.
Clint (04:27)
So let's look at it from a different angle for just a moment through the how you're applying it to the industries that you're working with and just talk about maybe for a moment how AI is impacting cancer research. And then we'll pull it together maybe after that. So tell us a bit about AI and the world of cancer research and healthcare and that sort of thing.
Margaret Freitag (04:48)
Right? AI in the world of cancer research has, you know, in short, just helped us crunch the data enormously. So in cancer research, you have the advancement of biochemistry techniques. You have the advancements in instrumentation, like genetic sequencing technology. And then you have the huge amounts of data that come outside.
and AI, which is the enhancement of our ability to manipulate all that data. And these three things working together provide enormous opportunities to advance both sort of product discovery, diagnostics development, interpretation of biological mechanisms behind what that maybe genomic data is saying. So huge amounts of advancements made.
Faster.
Clint (05:45)
And is it the same type of AI technology that's helping you be a better marketer or is it different AI technology?
Margaret Freitag (05:54)
It's different AI technology for sure. The type of AI that is usable in marketing is much more creative and generative in doing research, deep research into existing, let's say, ⁓ publications and mining existing information for insights to create ⁓
messaging platforms or product development goals versus in healthcare AI sometimes is the product. That machine learning that is embedded in the product is the product.
Greg (06:41)
Yeah, so I was wondering, know, when you did bring AI into your workflows, can you share a moment where AI helped you uncover an insight that the traditional methods might have missed?
Margaret Freitag (06:58)
Yeah, I would mostly say that is around.
getting deep and fast research into existing literature. It can take you hours and hours to sift through things. And you can be very biased by keywords that you use to search for things. And when you listen with AI, it's a little bit more unbiased, isn't it? Because it just minds everything.
according to what it what it sees on that topic. And so, you know, I don't know if it would have been missed, but you just get to places much faster, much faster, much more specific, much, much well, much more backed up by the body of information that is there. So how how that insight fits in with all the others, ⁓ I guess.
Greg (07:47)
That's bad.
Yeah,
I find I get biased by just the length of time in my career. know, I think, when I when I go to sit down and put together a sales pitch or anything like that, I just start to narrow down and think in one way. And when I did bring AI into it, you are absolutely correct. It just it's unbiased and and opens up in kind of the entire spectrum of ways to say things. And I think it's
Clint (08:30)
a writing rut.
Greg (08:31)
Yeah,
exactly. Yeah, it's kind of reinvented me back to the center or whatever, however you want to say it, but I love it.
Clint (08:39)
And I can imagine in the world of cancer research, there's a lot of really deep, weighty topics that you've got to have a strong medical background to really understand. And it sounds like you're saying AI is helping summarize that and pull out the key points for you rather than instead of you having to read a 100 page report, you can get the key details much more quickly. that a good way of looking at it?
Margaret Freitag (09:04)
Absolutely, because the volume of data that comes out, cancer research is such a productive area of medical research that the number of publications is enormous and having these tools help you sift through them and find the golden nuggets is really the key.
Because you to be able to substantiate everything you say and everything you use as backed by reasonable science. So you can ask AI not only to find it, but give you the hot link to the source document so you can read the paper, make sure you're comfortable and that it indeed, and then you can ask for more of those and then you can pressure test it by saying, well, is there anything else that would refute that point so that you can put those things together and just be really confident that you're.
the insight that you're proposing as an anchor perhaps for your campaign or whatever does make sense.
Clint (10:07)
really like that idea. I want to kind of pause on that one for a second. You're saying not just have AI help you kind of reinforce the opinion you might have, but you come up with something and then you ask AI to refute it and to pressure test it. That's a really clever way of using AI to argue both sides of the case, if you will.
Margaret Freitag (10:26)
it's a fantastic way to use it. And it's also a fantastic way to manage team dynamics because you have a lot of cross-functional collaboration in the biomedical world. Marketing is very close to medical affairs, is very close to research, all are very close to regulatory. We work in cross-functional teams and each has their own sort of driver, right? Regulatory wants to be very compliant.
Medical wants to be very close to the scientific minutiae. Marketing wants to be aspirational. How do you bring these three voices together? And sometimes you get into a gridlock with the team on which way you want to go. And so what you can do is you can ask, you know, you can go to AI with these differing viewpoints from the team and ask them pros and cons of each of these approaches.
and strengths and weaknesses and how to mitigate those weaknesses or how to create a hybrid strategy that reconciles some of these differences or just what are the three alternate ways forward. And then you've organized all the talking into something the team can digest.
Greg (11:38)
I've been on cross-functional teams that ⁓ aren't so functional. So I really like this.
Clint (11:46)
Yeah, to bring in ⁓ AI as kind of that impartial referee, if you will, of all the different opinions. It's another great idea. I love that.
Greg (11:57)
Something you touched on with just the amount of data, especially in your ⁓ line of work there. ⁓ I can imagine that AI can help bring kind of the results that you're looking for much faster these days than in the past.
Margaret Freitag (12:16)
It was exhaustive and painful and expensive because you'd have to pay consultants like us hours and hours and hours to be plowing through this stuff. Now it just creates enormous efficiencies.
Clint (12:29)
So back to that idea of using AI as a way of refereeing across different teams with different perspectives and different ideas. Have you been the one who's kind of evangelizing using AI in that way? And have you run into any challenges to get people to accept it as a tool that they can rely upon?
Margaret Freitag (12:50)
Yeah, you know, because it happens in the background, we don't really talk about whether or not AI was used to generate the alternatives, because the important thing is really what I do always share is sort of the bibliography where it got drawn out of. ⁓ So I would say.
you know, sometimes when we talk about process, we can lay that out as a way, you know, if the team needs to get aligned, okay, what process will we use to do this? And, you know, then you can talk about that a little bit, but I don't find that... ⁓
I'm not going to say people don't care about it, but it...
Clint (13:38)
They're not questioning it per se.
Margaret Freitag (13:40)
You know, I think the attitudes in general around AI in the company can include that ⁓ you're being lazy or ⁓ doing shortcuts or causing hallucinations. And there are all those kind of biases in companies sometimes. so ⁓ you have to... ⁓
That's why referencing is so important. If you get the source reference for where all this came from. ⁓ know, a lot of times too, in marketing, the methodologies that we use are pretty standard. You generate, let's say, a positioning statement. you might have a few alternatives that are anchored on the unique selling proposition or whatever. The team wants to look at the
different iterations of those. And they want to know that you took their ideas in. So what's really important is engaging the team members in soliciting all of their thoughts and manipulating those, just like any consultant would, into a cohesive, organized feedback document that then the team, again, can react to. Using AI in the background to organize those thoughts is not what
the team is particularly concerned about, right? They just want to see that.
Clint (15:11)
in the output than the sausage making process.
Margaret Freitag (15:14)
The sausage making, yeah. The one thing that you want to do is make sure that this is probably an area of smoke, mirrors, and mystery with AI is what you're putting in there, how confidential is it, are these tools that the company has designated as the appropriate tools. Even when you're summarizing team minutes, is this a tool that the company has?
taken internally and said, yes, this is officially, you we're going to use fellow to organize our meeting minutes. So you want to have strong IT support and guidance if necessary. You know, do you need policies in the company on how these tools will be used, in what circumstance? If you're just mining for public information, like publications, you know, there's not much there, you know, more sensitive projects.
Clint (16:12)
I
think I've started seeing that myself in my own use of AI is that the more I kind of brag about, I used AI to build this and I used AI to build that, you end up spending more time talking about AI and security and all those other things as opposed to the actual workout. It's almost like, are you going to tell people in Microsoft Word that you use spell check and grammar check? Not really.
You're just going to say I created the document. Here it is.
Margaret Freitag (16:44)
Exactly.
Greg (16:45)
I think I, what I, I like what you said about just referencing back to where, ⁓ the statements coming out of AI work, we're coming from that, that can help push new adopters over pretty, pretty quickly. And, know, that's something that you're the first person I've heard. Kind of give a technique for that. everyone else says, you know, just use it for a while and it'll dazzle you, but that's a great way to do it. Just show.
where what it's pulling from and those are credible sources and people, know, in intellectual positions.
Margaret Freitag (17:22)
No matter what I'm researching, I ask it as one of the deliverables to give me a hotlink to the source.
Click on it in the prompt.
Greg (17:34)
That's great. That's great. So beyond work, have you used AI in your creative life, your family organization, organizing the family? mean, like that. Have you done anything like that?
Margaret Freitag (17:52)
Yeah, I think I have just scratched the surface and I'm very interested in exploring all kinds of ways to use it. We certainly use it for looking things up quickly when we're having family discussion of, think this and I think that. you know, people have a tendency to just think that they can imagine themselves to the answer. And you're like, what if we look it up? So I think our ability as a society, especially on controversial topics, to be more fact-based is amazing, you know, in our family.
Dinner table, even discussions? On the creative side, I would say I've had the most fun with the songwriter function within one of the chat GPTs, one of the sub chat GPTs is the songwriter. ⁓ And it's amazing. It is absolutely amazing.
Clint (18:44)
So you're having fun making songs, huh? you a musical person where you've been creating songs beforehand, or is this kind of a new thing for you?
Margaret Freitag (18:53)
Yeah, we have a very musical family. We all play musical instruments where, you know, dancers, I was always the first person on the dance floor and the last one off. So I love music. It's a very important part of my life. And I found myself over the years, even when I listened to pop music, I say, ⁓ you know, I would have
I would have changed that lick to this or something. So I have sort of an inner producer, ⁓ you know, an amateur producer in my heart. And so when this song maker came up, it's just been crazy fun. You can, if you're able to give it a nugget of a topic and some unique information about maybe a person or a situation, it will turn something quite magical around for you.
Clint (19:46)
Tell us a story. What's been a fun song that you've created?
Margaret Freitag (19:50)
So a fun song that I created is about my dad. He makes a small amount of wine on his property. And ⁓ I was telling my family while we were doing the labeling ⁓ about this song maker at GPT. And I said, you know, I can do it right here on my phone. In fact, I'll demonstrate it to you right now. And I opened it and I said, you know, Felix.
moved to Los Altos Hills to make Pinot Noir and it's the best in town. mean, just a few nuggets about what's special, right, about this. And it cranked back a song for us that made us cry. And it's the family anthem now.
Greg (20:36)
I love it. Yeah
Margaret Freitag (20:38)
the family anthem and we raise our glass and we sing along to this song in the evenings. And it's brought such joy.
Greg (20:46)
That's great. Well, you know what? We're going to be publishing this podcast. Could you make us a little sample song we can put at the end, maybe?
Margaret Freitag (20:55)
Yes, I would be happy to.
Greg (20:57)
Right. That's great.
Clint (20:59)
I'm looking
forward to that. Absolutely.
Margaret Freitag (21:05)
Gosh, what other AI tools am I using? ⁓ I have tried to be kind of democratic and tried Claude or some of these others, but I feel there's a stickiness to a tool. And I just go back to chat GPT all the time. Yeah. Yeah, because once you learn how to use something and you get comfortable with it, you know, it's just like, is this other one really that much better? It's highly similar.
I'll just stick with what I did before. ⁓
Greg (21:39)
Now we had a prior guest tell us that they're pretty much all in one. Oh, if you learn to use them, they're fun. So whichever one you like, just stick with it because they're all going to catch up to each other. You know, and I thought that was a pretty cool statement when he said that it's true. Like Clint star with chat GPT. I jumped into co-pilot and I, you know, in 10 days I'm like, I don't know, I should have gone chat GPT.
And then I just turned the corner on it. And now Clint and I go back and forth going, I wish I had his tool. wish I had his and they all the features start to show up in both of them.
Margaret Freitag (22:19)
Yeah, and one more thing, try to do your headshot challenge. Remember you guys had the headshot challenge? And I thought, okay, if I'm going to be on the podcast, I really should do the headshot challenge. And I don't know if it's my age and my wrinkles or what the problem is, but it gave me the craziest deformed faces that I did not recognize. And I don't know if I just wasn't using it right, but I'm like, I don't really recognize myself.
And I almost felt like, you know, I felt a little sketchy about it anyway, because it was kind of like, you know, if you're on match.com and you put pictures of yourself that don't really look like you, I'm like, is the headshot notification like that? So at the end of the day, at the end of the day, I just used Photoshop to paste down some of the flyaway frizzies on the edge of my hair. I thought, you know what, that's as far as I'm willing to go with the headshot challenge. I don't know if that even counts as
Greg (23:16)
But that's great. Yeah, right at the beginning, I remember putting up ⁓ a picture just in a straight straight chat, she beat it. I just said, you know, fix this up. We've learned much later on. That's the worst tool for photo enhancement. And what came back did not even look like me. And we were laughing for at least a half hour. I to pass it on. I said to Clint, we're just laughing while we're trying to figure it out. And then one of our guests slowly
pointed us towards using the solutions that are like a little more pointed towards what you're trying to do.
Margaret Freitag (23:51)
Yes,
exactly. They're customized for that. For the future, my wish for the future is that there will be something really good for designing slides. I know a previous speaker also mentioned that he hadn't found anything that he loved for making slides. And I've followed some advertisements ⁓ to different slide making AIs, but I don't
Greg (23:54)
Yeah, that's great.
Clint (24:20)
I think that scenario that still needs some investment. We've actually had other guests call out that same point that ⁓ creating presentations with AI just isn't there yet.
AI Announcer (24:35)
Yeah, yeah, yeah, yeah, it's Clinton Greg on the mic. Turn it up, yo, AI in the mid.
Greg (24:41)
Alright Clint, you notice that I changed the AI intro voice again on this episode?
Clint (24:47)
Yeah, I noticed. I love how we do that every week. And you do that with Microsoft Copilot Audio Expressions, right?
Greg (24:55)
Yeah, yeah, I'm really having a good time with it. You know, I was getting near the end. I almost used everything they have in there and they just loaded a fresh batch of motions and new voices. So get ready. I'm going to continue changing this. ⁓
Clint (25:08)
I love it. Looking forward to what comes out next.
AI Announcer (25:11)
Every guest brings heat.
Greg (25:12)
All right, so let's get into today's AI challenge. Now, the AI challenge is an exercise for our audience to use the AI technologies we talk about during the episode.
AI Announcer (25:22)
It's an open
Clint (25:23)
This week's AI challenge was a fun one to create. It's how to make the sales kickoff playlist with AI. So using AI song generator, which our guest Margaret is a big fan of, you're gonna get to learn that technology. You're gonna have a little fun playing, creating a playlist for your next sales kickoff. And I think you'll enjoy it. It's a good time.
Greg (25:46)
So in the show notes, you'll find a link to a blog article that tells you exactly how to do this.
Now you hear that song in the background, Margaret made it using AI song generator. So stick around at the end of the episode and you'll hear the song in its entirety. It's definitely worth it. I really like it. It's fun. Now, if you have an AI story in business that you want to share, go to www.promptthis.ai, fill out the contact us form and we'll talk to you about being a guest on the show. ⁓
AI Announcer (26:17)
Machine meets
human, that mutual healing. Got love on your mind, they'll spark that too. Use a chat bot to write or say something.
Clint (26:24)
Well, hey, Margaret, I wanted to thank you for joining us today. That was a great session. We really appreciate you coming on the podcast.
Margaret Freitag (26:31)
It was really lots of fun to be here and I can't wait to hear what other speakers have to say about how they integrate AI into their daily lives and in their workplace.
Greg (26:42)
All right, thanks Margaret.
Margaret Freitag (26:50)
Good evening, everyone. Thank you for joining us on this marvelous journey today. You can discover all of the exciting Prompt This episodes and dive into a treasure trove of in-depth articles at www.promptthis.ai. And ⁓ don't like button below. We can't wait to welcome you to exciting adventures. But hold on just a moment. ⁓
AI Announcer (26:52)
Clinton Gregg on this marvelous
Don't forget to click that delight
Clint (27:10)
Hello.
AI Announcer (27:12)
back for more ex-
Stick a couple
more minutes to catch Margaret's AI created rap for prompt this.
Margaret Freitag (27:22)
in its entirety. Trust me, you won't want to miss it.
AI Announcer (27:33)
and Greg on the mic. Turn it up yo, AI in the mix. Let's go. Stepping to the booth, it's another fine day. and Greg on the pod got something to say. From work to love, from bots to soul. AI's the game and they're in control. Microphones lit, got the vibe just right. Two minds locked in, sparking insight. Breaking down the
degree just two real ones making AI easy. Blank brain. Running gems not just names. Blank brain. Turning buzzwords into flames. Blank brain. From the lab to your lane they make an AI feel real not just some game. Every guest brings heat each convo a vibe from ethics to art they keep it alive they talk GPTs neural nets deep dreams but wrap it all tight like old school MCs no gatekeepers here it's an open door they want AI to help you do more.
Creating or chilling with bae, they say why not use tech to brighten your day? Clint drops facts, Greg flips the script Together they spark like a circuit chip From cubicles to candlelit nights They're asking can AI make everything right? Two minds, one quest, no cap Bringing real talk with that boom bap It's more than code, it's heart Teaching you how to make AI apart Two minds, one quest, no cap Bringing real talk with that boom
It's more than code, it's heart Teaching you how to make AI part
They ain't preaching, they reaching straight to the core Real conversations, no tech folklore It ain't just apps, it's life and feeling Machine meets human, that mutual healing Got love on your mind, they'll spark that too Use a chatbot to write or say something true Got a problem at work, they'll break it down AI with heart, yeah it's going around
One mic, two souls, infinite views Open your mind, pick up the clues So hit subscribe, it's a wild ass ride With Clint and Greg by your podcast side They're the bridge, they the beat, they the guide Throwing light where the bots might hide Now everybody's leaning tight They make an AI for real life
One love for the future and today too Clinton, Greg, dropping truth just for you Pot, pot legend, the making Next episode gonna be amazing
amazing
you
is in.
