Real Girls, Real AI & Real Talk with Lauren B. Jones

On this episode of The Chad & Cheese Podcast, Joel and Chad welcome Lauren B. Jones—founder and CEO of Leap Advisory Partners and author of Real Girls Roadmap to Mastering AI—fresh off the farm in Northern California where the roosters clock in at 4:30 a.m. With nearly 30 years in staffing and recruiting under her belt, Lauren cuts through the AI hype with a no-BS reality check: most companies claim they’re using AI, but only a fraction are seeing real ROI because they’re chasing shiny tools instead of solving actual problems. She breaks down why leaders still need to get the basics right, how to stop the “slop,” and why policy, education, and enablement—in that order—matter more than ever. Plus, they dig into why women approach AI differently, what parents should be teaching their kids, and why treating AI like Google is a fast track to garbage output. It’s practical, a little snarky, and exactly the kind of conversation HR’s Most Dangerous Podcast was made for. Chapters 00:00 - Introduction to Lauren B. Jones and episode overview 02:01 - The current state of AI adoption in staffing and recruiting 04:09 - How leaders can start educating themselves about AI capabilities 06:10 - Framework for organizations: eliminate, automate, AI 07:53 - Using surveys to identify automation opportunities 10:13 - The importance of policy, education, and enablement in AI adoption 11:59 - Global policy landscape and the need for regulation 14:08 - The evolution of AI tools like Jasper and ChatGPT 16:04 - Research findings on women and AI in the workplace 17:54 - The motivation behind writing 'Real Girls Roadmap to Mastering AI' 20:10 - Overcoming overthinking and confusion in AI adoption 22:10 - Advice for parents and children on AI safety and skills 24:02 - The impact of social media and AI on society 26:00 - The role of quality input and human oversight in AI outputs 27:57 - Connecting with Lauren B. Jones and final thoughts

• 0:00Speaker 00

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• 1:25Speaker 02

  Now we return you to our regular scheduled program in progress.

• 1:29Speaker 03

  Hide your kids, lock the doors. You're listening to HR's most dangerous podcast. Chad Soash and Joel Cheeseman are here to punch the recruiting industry right where it hurts. Complete with breaking news, brash opinion, and loads of snark. Buckle up, boys and girls. It's time for the Chad and Cheese Podcast.

• 1:53Speaker 00

  Oh, yeah. It's the podcast your lunch lady warns you about. This is the Chad and Cheese Podcast, everybody. I'm your co-host, Joel Cheeseman. Joined as always, Chad Soash is riding shotgun as we welcome Lauren B. Jones. No relation to Al B. Scher, by the way. She's the founder and CEO of Leap Advisory Partners and author of Real Girl's Roadmap to Mastering AI. Lauren, welcome to HR's most dangerous podcast.

• 2:23Speaker 04

  Well, I'm super happy to be here. Thank you for having me.

• 2:25Speaker 00

  And we're happy to have you. For those that don't know you out there, give us kind of a Twitter bio about Lauren.

• 2:31Speaker 04

  Yep. I'm the founder and CEO of Leap Advisory Partners. As you said, I have been in the staffing and recruiting industry for almost 30 years. I live on a farm in Northern California with my husband who builds race cars. I build tech stacks, he builds race cars.

• 2:47Speaker 01

  What kind of race cars?

• 2:48Speaker 04

  He builds for the BMW series. It's club racing for, you know, middle-aged men with too much money and not enough sense. So, just like we like them.

• 2:57Speaker 01

  This is the economy for him. Well, excellent. In Northern California, how's the, it's morning for you there? What time is it in California right now?

• 3:07Speaker 00

  What are you farming?

• 3:08Speaker 04

  It's 7:11. Yeah, the roosters went off at 4:30.

• 3:12Speaker 01

  So you've been up for a while. So it's all good.

• 3:14Speaker 00

  Oh, my God.

• 3:15Speaker 04

  I've been up for a while.

• 3:15Speaker 00

  Things I never thought I'd hear on one of our podcasts is the roosters go off at 4:30. Thank you for that, Lauren. It only took about 10 years of podcasting to finally hear the roosters.

• 3:25Speaker 01

  It's funny. We have Portuguese roosters here and they sleep in. So I love that.

• 3:30Speaker 00

  They drink a nice cappuccino before they get up in the morning there in Portugal.

• 3:34Speaker 04

  Apparently. I wish mine would drink a cappuccino.

• 3:39Speaker 01

  So we've got a book that we're going to talk about and we'll get to that. But the grander issue, talking about AI, talking about we've seen all of these reports, all of these articles, blah, blah, blah, talking about adoption, not being able to reach ROI, all these different things. And I mean, really, we're still kind of like in the R and D phase of AI for companies that are out there. Should we really expect at this point to have it all figured out? I mean, that's what it feels like. Whenever you hear it on the news or you read it in an article, it's like, why haven't these companies figured this out? And it's like, this is some new shit still, right?

• 4:15Speaker 04

  Right. It's very new. However, it's very new. I've been traveling the country the last four years trying to, you know, convince owners, leaders of, you know, hiring organizations that this is real. This isn't one that you can sit out. As a matter of fact, I open every keynote with, who here knows how to use the internet? You know, inevitably, everybody raised their hand. And I'm like, that's how many people need to know how to utilize these tools. And I feel like we're finally, you know, starting to see some waking up of, I should probably pay attention. And so not having everything perfect, because it's still the wild, wild west from a policy and legislation and from that perspective. But you do need to wake up, get organized, find out how you're going

• 5:00Speaker 04

  to implement this, and get really serious about educating your people.

• 5:04Speaker 01

  How do we do that?

• 5:05Speaker 00

  And what level makes sense? My dad knows the internet, but I'm not sure he's figured out email yet. I mean, to what degree do you need to know the internet to be sufficient?

• 5:14Speaker 04

  So I think you need to know basic capability. If you're a CEO running an organization, how do you set the vision for an organization where you have no idea of the capability of some of these tools? And so at the very minimum, educate yourself on the fundamental capabilities of some of these tools and some of the inherent risks. And there are risks, just like, you know, the whole software industry in staffing and recruiting has, you know, evolved over time. And with every, you know, new buzzword or buzz technology that comes out, there is risk, inherent risk. And so you need to have your organization set up appropriately to be able to take those risks in a controlled environment. But you

• 5:56Speaker 04

  also need to know basic capability. And I feel like that's where some leadership is absolutely missing the mark.

• 6:03Speaker 01

  I mean, it's hard, especially with all these tools. And you're trying to lead a company.

• 6:07Speaker 04

  Very noisy.

• 6:08Speaker 01

  You're trying to lead a company, or you're trying to lead a talent organization, let's just say that. I remember back in the day, the whole internet thing, back in the early internet days, there were people on teams that literally just, they took their own time because they dug into the technology. We're starting to see that on some talent teams. And the leaders are pressing for that. Who wants to do this? Who wants to work with Claude? Right? We've got Claude cowork. Who wants to work with that? Do this. Do you see those teams actually making a lot of progress with regard to the use? That mean they're just playing with it right now. But do you start to see that they're making more progress in the use and adoption area?

• 6:48Speaker 04

  I mean, 75% of, at least on the staffing and recruiting side, 75% of firms say that they use AI. Only 50%, 15% of those organizations are actually seeing ROI. Why? Largely because we don't ask the question, what problem are we trying to solve for? We're just doing AI for the sake of doing AI. And I think that's, there's the lack of direction and, you know, what is it that we want to accomplish? You know, we sort of give it a framework. Look at your organization and determine three things. Eliminate it, automate it, or AI. And of that, you know, what is a really human, where can we spend the most time human to human? And you don't have firms that look at their organization like that regularly.

• 7:29Speaker 04

  They're doing this way too infrequently. And I think that's part of the problem.

• 7:34Speaker 01

  Well, isn't part of the problem too, that they expect the entire thing to be automated as opposed to looking at chunks? I mean, literally, looking at the tasks that are being performed and chunking out, okay, what tasks, identifying which tasks just really suck and can be automated, like interview scheduling, right? You know, those types of things.

• 7:53Speaker 04

  I had a six-figure recruiter in one of our trainings who's reformatting resumes three hours out of the day. That's bananas. You know, that's banana sandwich. It needs to stop right now. What are you doing? You need to look at it two ways. Are your people and your technology doing one of two things? Are they revenue generating or revenue preserving? What activity are they doing to do one of those two things? And then ask your people what gets in their way every day. If you just sent out a survey, that one question survey, we did it for, I mean, we do it for all of our firms that we go in and audit. But, you know, most recently, we had a 90-person firm, which that's not, it's not a huge firm, but we got all 90 back because it's one, all 90 people, you know, responded to the

• 8:38Speaker 04

  survey because it's one freaking question. And not only did it give us a roadmap for the entire year of all of these repetitive tasks. So it gave us this AI build roadmap, but we found out three branches had Wi-Fi problems that cost them $30 to fix. So, you know, just asking a single question might keep you really, really well informed about where there's opportunity for automation or AI.

• 9:01Speaker 01

  If you don't have Wi-Fi, people, use your word, for God's sakes. Use your damn words.

• 9:06Speaker 04

  Use your damn words.

• 9:07Speaker 00

  We're seeing stories where the people are way ahead of the organization in terms of adopting some of this stuff, right? Like, they're on their own with multiple platforms and AI, learning new stuff. They're very curious about it. And the organization is still in a meeting like, okay, how are we going to like, slow roll AI into our organization? I assume that like introduces a lot of challenges with that dynamic in corporate America. What are you seeing? And what kind of tips do you give companies to adapt to this new reality?

• 9:37Speaker 04

  So policy, education, enablement, in that order. Have a policy. Whether you're an individual user, have a personal policy. Have your safe word for your family. And there's, it's a $38 billion fraud and scam industry right now with AI. Have a company policy. Give your people, you know, some bumpers of what they can and can't do, especially in an environment or an industry where PII, you know, sort of rules our world. There's a ton of vulnerability and risk there. So, you know, policy, education, educate your people appropriately. You know, teach them the risks of these tools. A lot of times right now, we're just teaching, you know, here's how you prompt. Okay, we've moved

• 10:19Speaker 04

  past just prompting. Now we're context engineering. Educate your people appropriately and then enable them with the right consistent tools. Something like 80-some-odd percent of small businesses are Microsoft shops. And yet, you know, many of them that we go into aren't using Copilot at all because they've heard that it's subpar and it sucks. And is it as great as Claude? No, but it's a perfectly capable tool for your frontline people.

• 10:44Speaker 00

  The education piece I'm interested in, because if you go back to the internet analogy, like email was kind of easy to teach. Like, you get letters in the mail. Here's, it's kind of the same thing. But with this, there's, you know, there's a YouTube channel for everything. There are tools out there. There's LinkedIn Learning. There are so many things. Like, where do you push companies to go to do the education part? Or are they doing it in-house?

• 11:08Speaker 04

  Of course I push them to my organization.

• 11:11Speaker 00

  Duh.

• 11:11Speaker 04

  Because I'm a selfish salesperson.

• 11:14Speaker 01

  I like she's upfront and transparent, Cheeseman. I like that.

• 11:17Speaker 00

  We like that. We like that.

• 11:18Speaker 04

  Obviously, I would push them to us, but there are plenty of free resources. I mean, Claude in and of itself has an academy. I'd say Copilot's probably a little shy, but there are a ton of Microsoft options out there, particularly on YouTube. There are a lot of opportunities, or I don't know, maybe just sit down with AI and ask it, how do I use you?

• 11:40Speaker 00

  Genius.

• 11:41Speaker 01

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• 12:02Speaker 01

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• 12:32Speaker 00

  It's commercial time.

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• 13:45Speaker 01

  It's showtime.

• 13:47Speaker 00

  I always ask, how are you going to kill mankind? But that's just me. I want to know the secret.

• 13:51Speaker 04

  Start conversations.

• 13:52Speaker 00

  I want to know how it's going to go down.

• 13:52Speaker 01

  Because they're going to share the whole game plan with Cheeseman. That's how it goes. So we talk about policy. I mean, our government doesn't even have a policy right now. Well, they do. The policy is no policy. So it's like usually governments set up kind of like the test ground, right? And what to think about with regard to policy, standard operating procedures, those types of things, guardrails, whatnot. And there's really none of that to be had. So are we looking at, you know, the EU and other countries to be able to really try to start to understand guidelines, especially in an era when we have all of these large language models, these agents jailbreaking and actually hacking other companies, right?

• 14:36Speaker 00

  Cats and dogs living together.

• 14:38Speaker 01

  Yeah. So we talk about policy and that is very, that's great to have. But you take a look at where we're at right now, it feels like we're way past that. I mean, can we put the toothpaste back in the tube on this one?

• 14:50Speaker 04

  No, you can't put the toothpaste back in the tube, but there are some operational things you can, just intelligent, basic operational things you can do to protect yourself, like not letting your people just use their own ancillary tools without any, you know, oversight. That's silliness. Now you've got your PII everywhere. So, you know, and then, you know, if something happens, it's like plugging a boat that's sinking. You don't know which hole to plug. So you're making sure that your PII isn't everywhere. But you can also look at some of the states here in the US that are, you know, California, New York, you know, those are the two having a contest to see who could be more difficult to work in.

• 15:30Speaker 04

  But there are some, Massachusetts is coming in hot, trying to be difficult. But there is some guidance there. And the two biggest areas of vulnerability are bias and PII. So if you know that, right, there are things that you can do to protect yourself. So write your policies. You know, we wrote, you know, a very, very basic framework. You could go to Jasper, Jasper.ai. They have a perfectly good, out of the box, you know, basic policy.

• 16:00Speaker 01

  Haven't heard that in a long time. Remember when Jasper AI?

• 16:02Speaker 00

  That's Jeeves' brother, isn't it? Isn't Jasper and Jeeves related to each other somewhere?

• 16:06Speaker 04

  Jasper and Jeeves, I'm sure.

• 16:07Speaker 01

  Jasper was big at one time and then, you know, overshadowed by ChatGPT and then everything else just kind of like landslide underneath it.

• 16:15Speaker 00

  That's true.

• 16:16Speaker 04

  Yeah. I mean, Jasper was the first one that understood tonality, which is why he was so popular in the marketing space. And now that, you know, you've got Grok and...

• 16:25Speaker 01

  No tonality whatsoever.

• 16:28Speaker 04

  He is so sarcastic and snarky and I love him.

• 16:33Speaker 00

  That's our love language on the show here, actually, sarcasm.

• 16:36Speaker 04

  Snark?

• 16:37Speaker 00

  Yeah. Lauren, you wrote a book. Tell us about it and why did you write it?

• 16:42Speaker 04

  Well, you know, writing a book about AI is a little intimidating because as soon as you write it, it's out of date. And I think we're on our third iteration of, you know, updating it. I wrote it though, to put a framework of, you know, how women protect themselves, how they protect their families, helping them understand some of, if you've ever read the book, How Women Rise, we have, you know, we have some behavior like rumination, overcomplicating things that we tend to do in the business world. And we're doing that same thing with AI. We're asking really good questions. Is it safe? Am I going to destroy the planet? Is it cheating? Women are just asking different questions than men. And so when, you know, I did a little bit of research on this,

• 17:27Speaker 04

  I felt compelled to write about it.

• 17:29Speaker 01

  So talk a little bit about the research then. Jump into the research. What did you find that actually just stuck out and was either good percentages in data or very bad?

• 17:40Speaker 04

  It started with, you know, again, me traveling the country, training and talking to executives and just noticing behavior from women, either sitting in the back, not asking questions, being exceedingly reserved, very, very skeptical. And so when I saw this firsthand, that's when I started looking at McKinsey and Gartner and looking at what women might be up against now. Because a lot of women do part-time roles, you know, they may be caring for a family. And so you look at those jobs and those are very repetitive jobs. A receptionist, you can have a voice agent. You know, there are a lot of jobs that women traditionally hold that are going to be consumed by AI. So now, you know, AI is not going to replace you. Someone that knows how to use it will.

• 18:23Speaker 04

  I wrote the book to make sure that women knew how to use these tools and that they had something that would guide them as to how to do it safely and maybe give them a little bit of confidence that the planet's not going to be on fire. It's not, you know, raining hellfire if we use these tools. And it's certainly, most certainly not cheating.

• 18:44Speaker 00

  Who's the audience for the book? Who do you hope picks it up and reads it?

• 18:47Speaker 04

  Well, I hope every career-aged woman picks it up to read it. I hope every woman that is at home taking care of a family or managing a PTA budget. These tools can be amazing for your personal life as well. I want to teach them to think entirely differently. It's also for men because we built the Real AI Agency, which is our training course, because men were knocking down our door. We want to be trained too. And what we try and help everyone see and think differently. You've got to think about the negative space. What in my day? I have a brain dump agent. Who would have thought? At the end of the day, I don't know about you, but right before I go to bed, everything floods through my brain. All of the things I didn't do, I should do, right?

• 19:32Speaker 04

  And so now I just talk into my handy dandy little Claude dispatch and I have a little agent in the morning that gives me, here's your personal to-do list. Here's your, and here's your work to-do list. It's just about thinking entirely differently. What are the things that take up my brain space? And so male or female, we want to teach you how to think like an AI architect.

• 19:51Speaker 00

  With me, it's what I ate and drank the day and what I shouldn't have eaten and drank and what I should have. And it's usually what I shouldn't have eaten. Yeah, it's usually, yeah, it's not usually good for me.

• 20:01Speaker 04

  Now you can build yourself a nutritionist, you know? You want a macros counter. You want, you know, I've got a travel agent. She does my entire agenda.

• 20:10Speaker 00

  I need a copycat recipe book for Taco Bell items. That's what I really need, Lauren. Let's rock. Let's party.

• 20:17Speaker 04

  If you can write a job description, you can write an agent. And so we certainly can make your Taco Bell agent.

• 20:23Speaker 01

  I don't think anybody needs a recipe for exploding diarrhea, Cheeseman.

• 20:28Speaker 00

  Mexican pizza recipe, yes.

• 20:32Speaker 01

  So we've seen over the last 30 plus years, I mean, humans have always resisted change and this change is coming much faster than most. The internet came fast, but it still has not, it's not coming as fast as this change into automation and agents and AI. So when you're writing the book and you're talking about women overthinking things, right? I mean, I think women overthink things because they're much smarter than us dumb men. We just don't overthink because we don't have the capacity to do that. So it's much easier for us. Keep it simple, stupid. But at the end of the day, if you're overthinking things and you're not adopting, you're getting in your own way. How do you get the reader out of their own way?

• 21:15Speaker 04

  Right. A confused mind does nothing. One of the best quotes I've ever heard. And so what I want to do is unwind the confusion. You don't need to be confused. Stop over complicating it for the love of God. Take one task a day, one task a day that takes up your brain space and make a determination as to whether or not you can automate that, you know, either with an agent or automation. And I think you'll find when you start asking yourself that question honestly, from macros nutritionist to a travel agent to a brain dump agent, we have an agent that we have like a braggadocious agent that follows your accomplishments at work so that you can continue to build your resume. There's so many applications

• 21:57Speaker 04

  for these things and we just don't think or ask ourselves regularly, male and female, what takes up our brain space? And where do we do our best thinking? And what are the topics where we do our best thinking? How do we do that the majority of the day? And then what are the tasks that are taking up that really great, you know, thinking time?

• 22:16Speaker 00

  You have children, as Chad and I do as well. I know, I know there are a lot of parents out there struggling with, what's this AI thing mean to my children's future? What, what kind of skills should they be learning? What sort of advice do you give parents of kids of both sexes? What they should be teaching? What kind of environment they should be putting their children in to thrive in the future?

• 22:37Speaker 04

  I think we need really good reasoning skills, which seem to be a lost art with some of our younger generation and really good kind of common sense. But the reasoning skills is, is, is one that I think is really important. We also have to educate our children on the, on the dangers. And, you know, I have got an entire chapter on safety. So I think we need to help our kids understand what to do, what not to do, and what to look out for. Start with that kind of personal policy. That that's the best place to start.

• 23:09Speaker 05

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• 23:39Speaker 01

  This is interesting though, because we're looking at society as a whole. We take a look at social media, the impact of social media. Instacart DoorDash can arrive on my door, right? So I don't have to go out and actually see people, right? I can just stay in my jams. Then I've got my phone in my hand all the time. And if you're ever walking out, you see everybody not looking at each other, not saying hi, just looking at their phone, watching TikTok, who the hell knows what's going on, right? So when AI is introduced into this, it takes all of that, right? You're just talking about having somebody plan a vacation for you. I don't even have to call anybody for that anymore, right? I can just have my AI do it. But what about all of these different AIs that are personal AIs? They're

• 24:20Speaker 01

  friends, right? As we start, and to Joel's point, you know, we're seeing adults that are getting hooked into these things. Kids are, and we're saying, I think, as Facebook just, or Meta just got nailed for over, you know, $500 million with regard to their negative impact through Instagram. This just seems to be snowballing. I don't know that AI is going to help any of this. So taking what you just said, how do you take that even further to ensure that no more harm can, can happen from AI since it's already happening through all these different levels I just talked about?

• 24:58Speaker 04

  Again, I think it is, is proper education. So I've got my youngest daughter's in law school, right? So immediately her first year, she's in her third year.

• 25:06Speaker 01

  That's a flex right there. That's a flex. I love that.

• 25:09Speaker 04

  I've got a teacher and a lawyer. But my first question, first week of law school is like, what's, what's the sitch with AI? And her professors were split down the middle. She's got half that really want to teach them how to use these tools so that they are in a really good space to essentially not be threatened by them. And then another 50% of professors who are like, absolutely not, don't even touch it, don't even talk about it, don't sniff about it in here. And so I, and I think we're going to battle with that for a little while. And so my response to that in an, in an uncertain environment is to create certainty through a proper education. And I think, again, kids need to know the risks. They need to know what a predator looks like. They need to know, this is not

• 25:53Speaker 04

  a therapist. You know, you've got some very, very sad stories very early on about some of these tools. And so, you know, this isn't one that parents can sit out either. Much like, you know, social media wasn't one you should be sitting out. We have very stringent rules for our girls growing up, you know, at 28 and 25, it was like Facebook, Instagram, and Snapchat were the things that we battled with. But we've talked very openly. So I think transparency with your kids is super important. Do not stick your head in the ground on this one.

• 26:25Speaker 00

  Chad, I don't know why you look at me when you talk about sitting around in your pajamas at home all day. I don't know why you chose me to sort of stare at when you said that.

• 26:34Speaker 01

  Do not stand up.

• 26:38Speaker 00

  Lauren, you've been, you've been around almost 30 years, almost as much as, as long as we've been around. Is AI making recruitment better?

• 26:46Speaker 04

  I think it will. I think there, I think that there's, I think it will. I think there's a lot of slop. You know, as a matter of fact, we've got an agent called the Stop the Slop Agent. There's just a lot of sloppy content out there. You saw, I don't know if you, there was a news story the other weekend where a professor put Madagascar in his, in white font on a test. And 33 out of the 35 kids didn't even edit, you know, their, their submission for the final. Only two got a grade, everybody else failed. Well, therein tells me they weren't taught basics on what AI can do, what it's not capable of, that human

• 27:31Speaker 04

  intervention and human oversight is fundamental to this tool. So we can't just, this is, again, this isn't one we can sit out, but this isn't one where we can, we have to trust but verify. You can't just send all of this slop out into the world and expect to get a good response. Garbage in is garbage out. And so when people say AI doesn't work, no, you don't work. And, you know, I want to.

• 27:57Speaker 01

  I don't work. You don't work.

• 27:59Speaker 04

  You don't work. You know, I want to sass back.

• 28:01Speaker 00

  You can't handle the truth.

• 28:03Speaker 04

  You know, if you put slop in, you're going to get slop out. You can't go to AI and talk to it like Google. You need to set up your, set up an operating system. That's what we teach, you know, that you've got to set up an operating system. And I'd say nine out of the 10 of the companies that we go into, global instructions aren't set up, preferences aren't set up, memories aren't turned on. How do you make something more intel? You wouldn't hire a person and tell them, write a blog for me, right? And, and then go, okay, bye. You wouldn't do that with a person. Why would you do that with AI? And so it's this, you get a lazy output when you put lazy in. And I think teaching our kids that, you know, what you put in is what you get out. And again, human oversight is a requirement.

• 28:47Speaker 04

  We'll be in a better space. But until such time, we're going to continue to see hot frickin garbage out there.

• 28:53Speaker 01

  Hot frickin garbage. It's policy, education, enablement. That's to stop the slop. And this is Lauren B. Jones, the name of the book, Real Girls Roadmap to Mastering AI. Lauren, how can somebody connect with you and or, oh, I don't know, maybe go buy the book?

• 29:09Speaker 04

  Well, the book is available on Amazon. You can find me as the Goat Leader on LinkedIn, which is probably another podcast. But I, because we live on a farm and we've got goats, but I am the Goat Leader. It's a double entendre, greatest of all time, and I have a goat farm. But you can find me under the Goat Leader on LinkedIn.

• 29:28Speaker 01

  Excellent.

• 29:28Speaker 00

  Forget the goats. The rooster woke me up at 4:30. You're welcome, world. You're welcome, world. Chad, that's another one in the can. We out.

• 29:38Speaker 06

  Thank you for listening to, what's it called? A podcast. The Chad, the cheese. Brilliant. They talk about recruiting. They talk about technology, but most of all, they talk about nothing. Just a lot of shout outs of people you don't even know. And yet you're listening. It's incredible. And not one word about cheese. Not one. Cheddar, blue, nacho, pepper jack, Swiss. So many cheeses and not one word. So weird. Anywho, be sure to subscribe today on iTunes, Spotify, Google Play, or wherever you listen to your podcasts. That way you

• 30:21Speaker 06

  won't miss an episode. And while you're at it, visit www.chadcheese.com. Just don't expect to find any recipes for ground cheese. So weird. We out.