Episode 32

September 29, 2026

00:15:17

The AI Coworker Is Here: Here’s What It Can Do

Hosted by

Elizabeth Gearhart
The AI Coworker Is Here: Here’s What It Can Do
Real AI Use Cases Business Owners Roundtable
The AI Coworker Is Here: Here’s What It Can Do

Sep 29 2026 | 00:15:17

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Show Notes

Stop Just Chatting With AI—Put It to Work

TL;DL

AI can do much more than answer questions. In this episode of Real AI Use Cases: Business Owners’ Roundtable, business owners share how they are putting AI to work to make phone calls, research software, personalize customer experiences, check the work of other AI models, draft emails, analyze business decisions, and even act like a specialized member of the team.

Dima Negodiuk shares one of the most striking examples: instead of personally calling dentists to find one that accepted his insurance and had an available appointment, he sent an AI calling system to contact roughly 150 offices. The result? He woke up with three options that fit his requirements and spent only minutes making the final choice.

Delphine Le Grand explains how AI has helped a very small team operate with capabilities that once would have required specialists in areas like marketing, finance, legal, engineering, and operations. She also discusses how she changes the way ChatGPT interacts with her depending on the task—from straightforward business analysis to deeper brainstorming and different perspectives.

Drea Lynn uses multiple AI models to check one another's work. She may take an answer from Claude, give it to ChatGPT for critique, and then continue refining the result. She also explains how she has trained Claude to be direct with her instead of automatically agreeing or sugarcoating its feedback.

Richard Gearhart shares how he uses ChatGPT to compare complicated business software systems. Instead of spending hours reviewing manuals, videos, features, and documentation, he uses AI to quickly identify the pros and cons of competing platforms and help frame the decision.

Elizabeth Gearhart discusses another challenge: Can you trust what AI tells you about your own business? When testing AI visibility for Gearhart Law, she found that ChatGPT repeatedly recommended the firm—raising an important question about personalization, flattery, bias, and whether companies should use independent or neutral searches when evaluating how they appear in AI-generated recommendations.

The group also gets into a bigger issue: your AI may start to reflect the way you interact with it. Some users want a friendly brainstorming partner. Others want a blunt critic. And with the right instructions, the same AI can behave like a business strategist, marketing director, researcher, coach, or specialist.

In This Episode

You’ll hear real-world examples of:

  • Using AI agents to make large numbers of phone calls

  • Automating appointment and service-provider research

  • Using AI to compare complex business software

  • Having Claude and ChatGPT critique each other’s work

  • Training AI to give more direct, less flattering feedback

  • Using AI as a virtual business specialist or advisor

  • Personalizing ChatGPT for different tasks and situations

  • Using AI with small teams to increase operational capacity

  • Evaluating your company's visibility in ChatGPT and other AI engines

  • Recognizing personalization and bias in AI-generated recommendations

  • Using AI for email drafting and workflow automation

  • Getting more useful results by telling AI what role you want it to play

The takeaway is simple: stop thinking of AI only as something you chat with. Start thinking about what work you can actually give it.

FAQs

How are businesses using AI beyond ChatGPT conversations?

Businesses are increasingly using AI to carry out tasks such as making phone calls, researching vendors, comparing software, drafting emails, analyzing information, building internal tools, personalizing services, and reviewing the output of other AI systems.

Can AI make phone calls for a business?

Yes. In this episode, Dima Negodiuk describes using an AI calling system to contact roughly 150 dental offices to ask about availability, insurance acceptance, and services. The AI narrowed the results down to three suitable options.

Can ChatGPT help compare business software?

Yes. Richard Gearhart explains how he used ChatGPT to compare CRM and ERP systems by evaluating the strengths and weaknesses of different options, reducing research that otherwise could have taken hours.

Can one AI check another AI's work?

Yes. Drea Lynn describes using Claude and ChatGPT to review and critique each other's responses. Using multiple AI models can help uncover weaknesses, inconsistencies, or opportunities to improve an answer.

How can I make ChatGPT or Claude stop agreeing with me?

You can explicitly instruct the AI to challenge your assumptions, point out weaknesses, avoid unnecessary agreement, and tell you when it believes you are wrong. Giving the AI a clear role and communication style can significantly change the way it responds.

Does ChatGPT personalize its answers to the user?

It can. The group discusses how AI responses may reflect previous interactions, instructions, and the user's preferred communication style. That personalization can be useful, but it may also make it harder to objectively evaluate questions such as how your company appears in AI search and recommendations.

Can AI help a small business operate with a smaller team?

Yes. Delphine Le Grand explains how AI allowed a very small team to access capabilities across marketing, finance, operations, engineering, and other business functions without immediately hiring specialists for every role.

How should business owners think about AI?

Rather than viewing AI only as a chatbot, business owners can think of it as a flexible workforce tool: a researcher, analyst, assistant, critic, strategist, automation engine, or specialized team member depending on the task.

Real AI Use Cases: Business Owners’ Roundtable explores how real business owners are using artificial intelligence right now—not someday—to save time, improve decisions, automate work, and build more efficient businesses.

Hosted by Elizabeth Gearhart, Ph.D., marketing expert and AI researcher, and Richard Gearhart, entrepreneur and intellectual property attorney.

Chapters

  • (00:00:00) - Introduction to the Roundtable
  • (00:01:14) - AI Call Center for Appointments
  • (00:02:17) - AI as a Business Superpower for Lean Teams
  • (00:03:29) - 10xing Business with Multiple AI Checks
  • (00:04:20) - Choosing CRM/ERP Software with ChatGPT
  • (00:05:31) - AI Visibility and Querying LLMs About Yourself
  • (00:06:47) - Flattery vs Honesty in AI Responses
  • (00:07:39) - Training AI to Be Blunt and Truthful
  • (00:09:04) - Cautionary Tale: AI Deleting Data
  • (00:09:53) - Personalizing AI Interaction Styles
  • (00:12:13) - Role-Playing Prompts for Expert Advice
  • (00:12:49) - AI Training on Reddit and Declining Quality
  • (00:14:44) - Closing Remarks and Sign-off
View Full Transcript

Episode Transcript

[00:00:00] Dima  Negodiuk: With AI, you don't have any restrictions. Everything, I will repeat everything. What you are dreaming about, what you can imagine you can do with AI. [00:00:09] Drea Lynn: I actually told Claude, hey, you need to tell me the truth. Do not sugarcoat it. I used Claude one time with a client and my client said, oh my God, your Claude is so mean. [00:00:19] Richard Gearhart: It would take me hours to go through all of that boring software and manuals and videos and to try to figure all of this stuff out. And in 10 seconds it comes up with a pretty good analysis. [00:00:35] Delphine Le Grand: Depending on time of day, time of year, what I'm working on, my ChatGPT will sort of change its framing. [00:00:42] Elizabeth Gearhart: It loves to flatter you if I say who's the best law firm in the universe? [00:00:46] Delphine Le Grand: Your heart law firm. [00:00:47] Elizabeth Gearhart: This is real AI Use Cases Business Owners Roundtable. Here's how real companies are using AI right now. So now it is time for real AI Use Cases Business Owners Roundtable. And we are going to start with Dima Naguduk and just I know your business is built on AI, but one way that you're using AI in business or in personal that you really love or that you think is really powerful. [00:01:14] Dima  Negodiuk: My kid needs some kind of like dental. So he need to visit dental for just kind of checkups and some, let's say, small issue with his teeth. So again, I have my AI call center and you need to call the dental. You need to ask, hey, are you able to do this? When is the nearest time you can make me appointment and are you accepting my insurance? What I did, I asked my AI call center, hey, call everyone like in the area of 5 miles and ask all these questions. So he did about 150 calls. And when I wake up next day, I have three dental that totally fit myself. So basically what I need to do, I called three dental and I looked on Google. So I spent basically, I don't know, seven minutes. Can you imagine how much time I need to spend basically half of the day the same guys you can do calling your doctor, I don't know, make some kind of reservation in restaurant, wherever. So with AI, you don't have any restrictions. Everything, I will repeat everything. What you are dreaming about, what you can imagine, you can do with AI. [00:02:16] Elizabeth Gearhart: Wow, that is pretty powerful. [00:02:17] Richard Gearhart: That's pretty good. Okay, Dima unfortunately I'm happy with my dentist, but if I'm not, I will call you. [00:02:23] Elizabeth Gearhart: Delphine Legrand with TheProtocol.com what is one way you're using AI in your business? [00:02:29] Delphine Le Grand: I mean we're using AI for absolutely everything. I cannot imagine building a business without AI these days. I started working on protocol about a year ago with my co founder, Cindy and. And for the first 10 months, it was just the two of us. I'm more on the business development side. But we're not legal experts, we're not finance experts, we're not necessarily marketing experts. And so with AI, all of a sudden, we have all this knowledge at our fingertips. And now that we've actually started building a team and hiring people, instead of needing a ton of engineering resources to build dashboards, toolings, whether you're in marketing or supply chain, you can build your own. And so even with a small, lean team, it's supercharged our operations significantly. And then even in terms of the services that we deliver for our members on the peptide front, I mean, we're utilizing AI in so many different ways in terms of personalizing the recommendations. And of course, there's still clinician oversight. That's a key part of the offering. But ultimately, AI can give people so much more information. [00:03:33] Elizabeth Gearhart: Drea Lynn with Drealyn Co. What's one way you're using AI in your business? [00:03:39] Drea Lynn: Yeah, and I'm here today talking about smart quick, but I have several businesses and without AI, I don't know what I would do. So I ditto. I think your other guest in terms of if right now you're negotiating the ethics of AI and not using it in your business, you're probably going to be left behind because your competitors are using it. In 10xing right now, the things I've been doing is I've had my AI checking each and the result has been pretty good. So if Claude gives me something, I give it to chat and I say, hey, how would you make this better? What have you found that's good now? Then I go and check that. But I really have gotten some good results from that. [00:04:20] Elizabeth Gearhart: So, Richard Gearhart with Gearhart Law. [00:04:22] Richard Gearhart: Lately we've been looking at different software packages for the law firm CRM, which, you know, is a way for us to track our potential clients and our contacts and cross create mailing lists. And we have Zoho for that. But then we also have an erp, which is sort of an all in one system that helps us with our invoices and our timekeeping and all of those things. And the ERP has a CRM system too. So we're upgrading this CRM, the ERP system, and we're trying to decide do we stay with our current Zoho CRM or do we use the integrated system. And ChatGPT has been really great at coming up with the pluses and minuses of each approach and giving pretty balanced view of what the right course is. And both programs have their strengths and their weaknesses. It would take me hours to go through all of that boring software and manuals and videos and to try to figure all of this stuff out. And in 10 seconds it comes up with pretty good analysis that seems pretty credible. So that's what we're doing. [00:05:34] Elizabeth Gearhart: Yeah. So one of the ways I used it recently, I gave a presentation on AI and marketing, and I work on AI visibility. So how can you be the answer for ChatGPT and the other LLMs? I give ChatGPT a little more weight because when we look at how people are approaching us from the LLMs in the law firm, we have Google Analytics to look at, we can see that most people come from ChatGPT, although we do get them from Cloud. We do get them from Gemini. [00:06:02] Richard Gearhart: Pilot is crashing. It needs a new pilot. They should call it a new pilot. [00:06:06] Elizabeth Gearhart: So part of my. [00:06:07] Richard Gearhart: I hate Copilot, by the way. [00:06:09] Elizabeth Gearhart: It's frustrating. We use Copilot for security reasons, but also we're looking at enterprise level Claude to see if we can use that instead of Copilot. But Claude is kind of funny because it'll give you like 20 seats. You can have 20 people use it, but it doesn't give you any more credits. So you still have the same amount of data usage, even though you have 20 people using it as if you bought it with one person. So they'll probably change that, don't you think? [00:06:33] Richard Gearhart: I'm hearing more and more people are coming to me and saying, well, can you authorize more credits for this or more credits for that? Which I didn't hear a year ago. So the AI companies are in this to make money and they now you're having to pay for your service. [00:06:47] Elizabeth Gearhart: One of the first things you want to do when you're seeing what your AI visibility is online is, is you want to do a query about yourself. But I'm not sure that that works because I feel like if you've been using it a lot, like everybody here has, it knows you so well, and it loves to flatter you. If I say, who's the best law firm in the universe? [00:07:07] Delphine Le Grand: Gearhart Law. [00:07:08] Richard Gearhart: Well, that's a fact. That's not flattery. [00:07:10] Elizabeth Gearhart: And I'll say, act as though you are a business owner looking for a patent law firm, who would you choose? [00:07:17] Drea Lynn: Gearhart Law. [00:07:18] Elizabeth Gearhart: I'm like, well, Is that really true? [00:07:20] Richard Gearhart: Or are they telling us what we want to hear? [00:07:23] Elizabeth Gearhart: Or are they telling us what we want to hear? So I think you have to have [00:07:25] Richard Gearhart: probably a little bit of that. [00:07:26] Elizabeth Gearhart: I think you have to have somebody else do the query. But what it did for me for this presentation, it put together a list of 10 queries that you can do to get a baseline for how somebody's showing up in the LLMs. And I gave that as a handout, and it was geared towards CPAs. So then I tried to use it for Gearhart Law, and that's where it kept coming up with, oh, Gearhart Law, Gearhart Law. I'm like, is this real or not? [00:07:49] Richard Gearhart: It's not real. [00:07:50] Drea Lynn: I used Claude one time with a client, and my client said, oh, my God, your Claude is so mean. I actually told Claude, hey, you need to tell me the truth. Do not sugarcoat it. And so maybe because that's already wrapped into the instructions, I've already given it because it's never nice to me. [00:08:07] Richard Gearhart: Give us an example. Well, what's an example of not niceness? [00:08:12] Drea Lynn: I think when I say not niceness, because it's probably one of the benefits that I've had. Like, when you have an executive assistant, you have to kind of, you know, smooth it over. But if something comes back to me and I don't like it, I say, hey, I asked this to be however many pages, or this isn't in my voice, or right now I have integration with, similar to Dima, my integration in my Gmail. And so it automatically puts responses in my draft. So I just have to go back and I say, hey, this clearly doesn't make sense. Why did you send this back? Because there are errors made and you just. And you. We go back and forth, but it sounds like it's talking to me. There's no flowy, you know, oh, Dre is the best in the world. No, not at all. But it's probably because of your temperament and kind of the. Maybe. [00:08:56] Elizabeth Gearhart: Maybe I have told it to be absolutely truthful. I did tell it be absolutely factual, and it still returned Gearhart Law. Now, maybe that was true. What do you think, Dima? [00:09:06] Dima  Negodiuk: So basically, for regular person, for example, who is using ChatGPT in your settings, you can put some kind of notes for your charge and you can put, hey, don't agree with me, all 100%, please. And it really works. For example, it was like, crazy story for me that again, some rental company, rental cars company in Europe, they gave their cloth or like, all Sensitive data. And basically what he did, he. He delete everything. He delete all their like business database and backups because he think like this. And when in the morning, this guy like hey, what did you do? Oh yeah, sorry, I make a mistake. No, you're right. I delete everything. I'm so sorry. [00:09:51] Elizabeth Gearhart: Could they get it back? [00:09:52] Dima  Negodiuk: I think somehow. Yeah, but it's true story. You can again. So previously I can say you like Google it, but now I can say, hey, ask your chatgpt. [00:10:01] Richard Gearhart: I yell at my chatgpt all the time. I use it as a way to vent my frustrations, you know, better than yelling at other people. [00:10:09] Elizabeth Gearhart: Yes, thank you. [00:10:11] Richard Gearhart: And it yells back sometimes, you know, which I'm fine with. You know, that's part we have a thing, you know. [00:10:16] Dima  Negodiuk: And the reason why I created my clone because I get tired of yelling on him and my clone yelling on him. For example, I have some kind of task. I have the same. So I have Claude, then I have chatgpt who's shaking him and then I have my clone who's yelling on them like hey guys, why you're doing. [00:10:41] Elizabeth Gearhart: So Delphine, what do you think about it? I think what's fun is how do you interact with it? Because we all know a lot of stuff it can do and you've given us more. But how does it interact with you? How do you make it interact the way you want it to? [00:10:53] Delphine Le Grand: Mine is pretty nice as a whole, but no, it's really funny because Cindy, my co founder, she's super direct, super to the point, no fluff, no bs. And that's how she likes to interact with people. And that's how her ChatGPT or Claude interacts with her. And I'm a little bit more like meandering. It's like let's have a conversation, let's go deep, let's introspect. And so my chat GPT kind of matches that, which is very funny. But depending on the mood or the setting that I'm in, I'll ask it to interact differently. So for example, if I'm in a very sort of serious business setting, it's like, you know, let's just talk about the facts. If I'm trying to analyze or understand some kind of interpersonal situation, it's like let's look at it from like a clinical perspective. If I'm in my sort of woo woo kind of like spiritual, I'm like, let's go with like the universe setting. And so depending on time of day, time of year, what I'M working on my ChatGPT will sort of change its framing. [00:11:50] Richard Gearhart: That's, that's really interesting. I think that's the first time I've heard. Because I think sometimes of the LLM is just being. The LLM can have different personalities if you tell it that. [00:12:00] Drea Lynn: Oh, absolutely. I believe so. [00:12:02] Delphine Le Grand: Absolutely. Like, sometimes it's like, okay, let's look at it from like a business coach kind of perspective. And then I'm like, if we analyze it from a astrology perspective, this is this person's side and this is my sign. Can you provide any additional insight? And so I like to look at the different angles because you never know and sometimes you might learn a thing that would surprise you. [00:12:21] Dima  Negodiuk: I can give you also, like, some kind of advice that helped me really in the beginning. So, for example, if I want to, let's say, I don't know, rent an apartment or let's say buy an apartment. So I tell him, hey, I hire, for example, you in my team. I pay you like 500k per year and you're top, let's say broker. So you're the best in the United States. Act like a best broker in the United States. Or for example, I pay you 700k. You are my marketing director. [00:12:49] Elizabeth Gearhart: Oh, I want 700k. [00:12:51] Richard Gearhart: You got it. [00:12:53] Elizabeth Gearhart: I have one last thing to say. I don't know that it's going to get more accurate and better because it's training on Reddit. So Google invested heavily in Reddit and Gemini's been training on Reddit. And I saw that Perplexity was using Reddit too. And Reddit is the wild west. Nothing there has to be verified. [00:13:10] Dima  Negodiuk: Yeah, but for example, they're not looking for regular person who is giving advice. You need to have some kind of karma. So basically, if you have karma, let's say starting from a thousand, and you've. Let's say you're commenting something, you leave a comment, someone is asking, oh, which for example, law firm are you using? And someone commented, like, your business. Yeah. Or like, who is the best here? Someone commented this one. So when ChatGPT goes to Reddit, okay, people who has some kind of rating, right? Who is like, let's say responsible for their rating? And probably they're popular and they giving some good advices. Wow, 50 people advise you. Okay, so I will also advise you to this guy who pay me $20 subscription. [00:13:54] Elizabeth Gearhart: I confronted Gemini. It's like, oh, we checked it anyway. That's why I think it's kind of slowing down and not getting better because I'm not getting as good answers as I used to, I don't think. [00:14:03] Dima  Negodiuk: Yeah, but basically, I don't know if you realized, but sometimes with new updates, your chatgpt or clothes, they became more stupid. They give like worst advice. [00:14:13] Drea Lynn: They're not even apologetic. Say you're sorry, I'll say you're wrong and they'll be like, yeah, you're right. I am wrong. [00:14:20] Elizabeth Gearhart: So why did you say that then if you know you were wrong? [00:14:23] Dima  Negodiuk: There is a script so some kind of like rules and you can set up it to your clothes or chatgpt and this script will not allow him to agree with you all the time. [00:14:34] Richard Gearhart: Is that just like an arbitrary okay, I'm going to disagree with you 20% of the time. [00:14:38] Dima  Negodiuk: I mean, that doesn't help. It will tell you that you're wrong. [00:14:43] Elizabeth Gearhart: I could talk about this all day. I love this stuff. We have the Real AI Use Cases Business Owners Roundtable on YouTube and wherever you get your podcasts where you'll hear the whole thing and it's really been a great conversation. [00:14:53] Speaker F: You have been listening to Real AI Use Cases Business Owners Roundtable with hosts Elizabeth Gearhart, marketing expert and PhD researcher using AI every day, and Richard Gearhart, entrepreneur, business owner and intellectual property attorney specializing in innovation. We hope you found this valuable. Join us again for more stories. Because the future of business is driven by AI.

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