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 revie...
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