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Can rogue AI agents destroy humanity? Will artificial intelligence ever become conscious? And how can business owners use AI tools like ChatGPT, Claude, Gemini, and Perplexity to save time and improve productivity? On this episode of Real AI Use Cases Business Owners Roundtable, hosts Elizabeth Gearhart, Ph.D., and Richard Gearhart speak with AI expert Arshavir Blackwell about the reality behind AI doomsday predictions, the science of machine consciousness, and practical ways to get more value from today's AI tools. Arshavir challenges sensational claims about rogue AI agents, explaining why human oversight, system safeguards, and the limitations of current technology matter when evaluating AI risks. The conversation explores whether AI can think independently without being conscious, why today's AI systems still depend on complex computing infrastructure, and whether combining biological neurons with computer chips could eventually change our understanding of intelligence. The discussion then turns to real-world AI applications for businesses and professionals. Arshavir explains how he uses Claude to analyze meeting transcripts across multiple conversations, connect information from different reports, and make complex information easier to understand. Elizabeth and Richard share how they use ChatGPT, Claude, Google Gemini, Microsoft Copilot, and Perplexity for different tasks, from content creation and research to video analysis and work involving confidential information. You'll also hear why AI-generated answers can sound authoritative even when they're wrong, why it's important to verify information, and how to guide AI tools to deliver shorter, clearer responses. Whether you're a business owner exploring AI for the first time or an experienced professional looking to improve your AI workflow, this episode separates AI hype from practical reality and offers ideas you can start applying today. About the Guest: Arshavir Blackwell has extensive experience in artificial intelligence and cognitive science. Learn more about his work through Inside the Black Box on Substack: subscribe.insidetheblackbox.ai. TL;DL — Too Long; Didn't Listen: Rogue AI and AI safety: Why Arshavir believes some warnings about AI taking over humanity are exaggerated, while acknowledging the need for safeguards. AI consciousness: Why independent thinking and behavior do not necessarily mean that an AI system is conscious. Practical AI for business: How to use AI to analyze meeting transcripts, synthesize information, and make complex reports easier to understand. ChatGPT vs. Claude vs. Gemini: How different AI tools can serve different business needs, including writing, research, video analysis, and information processing. AI accuracy and hallucinations: Why confident-sounding AI answers still require verification and human judgment. Getting better AI results: How to ask AI tools for concise answers, simpler explanations, and responses tailored to your needs. Confidentiality and AI: Why businesses and professionals should consider data confidentiality when choosing AI tools and workflows. Frequently Asked Questions: Can rogue AI agents destroy humanity? Arshavir Blackwell argues that many predictions about rogue AI destroying humanity are exaggerated. He emphasizes that current AI systems have technical limitations and depend on human-built infrastructure, while recognizing the importance of safeguards and controlled access to computer systems. Will artificial intelligence ever become conscious? Chapters (00:00:00) - Introduction and Guest Welcome(00:01:17) - Rogue AI Fears: Debunking the Hype(00:07:31) - Why AI Systems Are More Fragile Than They Seem(00:09:07) - Can AI Achieve Consciousness?(00:11:27) - Biological Neurons in Data Centers(00:13:46) - From Chips to Biology: Full Circle Thinking(00:14:10) - Practical AI Use Cases in Business(00:15:38) - Medical Records and Meeting Synthesis with Claude(00:17:51) - Choosing Between ChatGPT and Claude(00:19:56) - Comparing LLMs: Copilot, Perplexity, Gemini and More(00:22:17) - AI Hallucinations and Legal Practice Challenges(00:23:31) - Closing Remarks

How are businesses actually using artificial intelligence to save time, automate tasks, and improve decision-making—and are the results worth the cost? On this episode of Real AI Use Cases Business Owners Roundtable, hosts Elizabeth Gearhart, Ph.D., and Richard Gearhart bring together business owners and AI practitioners to discuss practical applications of AI, the growing role of AI agents, and the risks of relying too heavily on automated systems. Todd Drowlette explains how AI transformed commercial real estate site selection, completing research that once took three full-time employees three weeks in just three and a half hours. Brandon Bellamy shares how he uses AI to identify comparable commercial properties and uncover new business opportunities. Sam Desany explains how he uses Claude, Codex, and multiple AI agents to turn early-stage ideas into working software through a structured process of brainstorming, refining prompts, and reviewing outputs. Richard Gearhart discusses using Microsoft Copilot to estimate business value and identify potential ways to improve it, while Elizabeth Gearhart shares how she is using AI to optimize podcast content for search and answer engines and help develop a book based on real business AI use cases. But AI productivity comes with trade-offs. The panel examines the hidden costs of AI tools and usage credits, questions whether automation always delivers a return on investment, and discusses why businesses still need human judgment, reliable sources, and careful verification. They also explore AI hallucinations, leading questions that produce biased answers, financial data privacy, overreliance on AI, and the importance of keeping a human in control of consequential decisions. Whether you're a small business owner, executive, marketer, entrepreneur, or technology professional, this episode offers practical insights into where AI can deliver measurable value—and where caution is essential. TL;DL — Too Long; Didn't Listen Automate repetitive work: AI reduced a commercial real estate research process from three weeks of full-time work by three people to just three and a half hours. Discover new opportunities: Use AI to analyze property records, compare similar buildings, and identify potential buyers or business prospects. Build better AI workflows: Multiple AI agents can brainstorm ideas, refine prompts, and help generate code. Understand the true cost of AI: Usage credits, subscriptions, oversight, and human review can reduce expected savings. Verify AI-generated answers: AI can hallucinate, overlook important context, and reinforce the assumptions behind a question. Protect sensitive information: Be cautious about submitting confidential financial, customer, or business data to AI tools. Keep humans in control: AI should support human expertise and critical thinking, not replace independent judgment. Frequently Asked Questions: How are businesses using AI to save time? Businesses are using AI to automate research, analyze market data, identify commercial real estate opportunities, complete routine document tasks, generate code, and streamline content production. In one example discussed in this episode, AI reduced a research process from three weeks of work by three full-time employees to three and a half hours. What are AI agents, and how can businesses use them? AI agents are systems configured to perform tasks or sequences of tasks toward a goal. Businesses can use multiple agents to brainstorm ideas, refine instructions, review outputs, and assist with software development and workflow autom... Chapters (00:00:00) - Intro: AI's Potential Dangers Teaser(00:00:36) - Todd Drowlette: AI for Real Estate Site Selection(00:02:03) - Brandon Bellamy: Using AI as a Lens, Not a Crutch(00:03:16) - Sam Desany: Multi-Agent Coding Workflow(00:04:16) - Explaining the Multi-Agent System Simply(00:06:17) - Richard Gearhart: Business Valuation via AI(00:07:17) - Writing a Book from Podcast Content Using AI(00:08:28) - Naming the Book: Real AI Use Cases(00:09:02) - Could AI Kill Us All?(00:09:34) - AI Risks: Human Oversight and Job Costs(00:09:54) - ROI Concerns and Rehiring After AI Layoffs(00:10:54) - AI as a Tool, Not a Replacement for Thinking(00:11:43) - Bioweapons and Bad Actors vs AI Takeover(00:12:21) - AI Bias, People-Pleasing, and Verifying Answers(00:13:32) - Over-Reliance on AI and Losing Problem-Solving Skills(00:15:02) - Explaining AI Agents and Closing Remarks

Why Businesses Can't Trust AI Without Human Oversight Real AI Use Cases Business Owners Roundtable explores how businesses are using artificial intelligence today—and what happens when AI gets things wrong. Hosts Elizabeth Gearhart, Ph.D., and Richard Gearhart bring together Dr. Joseph A. Puma, Brian Fried, and John Schwind to discuss real-world AI applications, business automation, AI agents, healthcare, and the risks of trusting AI-generated answers. How can businesses use AI effectively without giving up human judgment? In this episode, business owners share practical examples of AI in action, from automating patient phone calls and researching new inventions to generating marketing images, identifying networking opportunities, and streamlining podcast production. Dr. Joseph A. Puma explains how his medical practice uses an AI phone agent to handle patient requests and appointment scheduling—but reports that approximately 70% of calls still require transfer to a live agent. The discussion raises important questions about AI automation, return on investment, and whether AI tools are delivering the benefits businesses expect. Inventor consultant Brian Fried explains how he uses AI to research competing products, evaluate market opportunities, investigate potential sales and licensing prospects, and assess inventions before investing further. He also discusses why inventors should avoid revealing confidential details of their ideas when using AI tools. John Schwind, founder and inventor of ReadiMask®, shares how his company uses AI-generated images and videos to depict real-world product applications while protecting patient privacy. He also explains how he uses Claude and ChatGPT together to identify weaknesses and check AI-generated work. Elizabeth Gearhart discusses using AI agents and Perplexity to automate podcast production and marketing workflows, while Richard Gearhart shares how AI can help identify valuable business networking connections and evaluate software investments. The roundtable also examines the limitations and risks of artificial intelligence, including AI hallucinations, inaccurate research, autonomous AI agents, cybersecurity, and the possibility of AI making mistakes in high-stakes settings. The conversation turns to AI doctors, patient safety, medical ethics, liability, and whether cost reduction is taking priority over better healthcare. The takeaway? AI can be a powerful tool for research, innovation, marketing, and automation—but confident-sounding answers are not necessarily correct. Human oversight, independent verification, privacy protection, and sound judgment remain essential. TL;DL: What You'll Learn AI in business: Practical examples of how companies are using AI for research, marketing, networking, and automation. AI customer service: Why one medical practice still transfers approximately 70% of AI-handled calls to live agents. AI for inventors: How to research competitors, evaluate market opportunities, and explore licensing strategies without disclosing an entire invention. AI marketing: How businesses can use AI-generated images and videos while protecting privacy. AI agents and automation: Opportunities and risks when AI systems carry out tasks with increasing independence. AI hallucinations: Why ChatGPT, Claude, Gemini, and other AI tools can produce incorrect information that sounds authoritative. AI in healthcare: Questions surrounding AI doctors, diagnosis, patient safety, medical ethics, and human care. Human oversight: Why checking AI outputs and comparing results across tools can help busin... Chapters (00:00:00) - Introduction and Episode Overview(00:00:39) - Dr. Joseph A. Puma: AI Phone Agents in Medical Practice(00:02:09) - Brian Fried: AI for Market and Patent Research(00:03:34) - John Schwind: AI-Generated Marketing Images(00:04:37) - Richard Gearhart: AI for Networking Research(00:05:34) - Elizabeth Gearhart: Automating Podcast Workflow with Perplexity(00:06:23) - AI Agents Going Rogue and Human Risk Comparisons(00:09:02) - Speed of AI Progress and Need for Safeguards(00:10:12) - AI Doctors and the Future of Medicine(00:11:34) - Trust, Ethics, and Cost in AI Healthcare Adoption(00:13:58) - Patients Self-Diagnosing with AI(00:16:02) - AI's Blind Spots in Business Analysis(00:16:57) - Cross-Checking AI Tools and Finding Errors(00:20:08) - AI Mistakes, Misinformation, and Real-World Dangers(00:22:27) - Closing Thoughts and Sign-Off

How are businesses using AI agents to improve sales, train employees, automate workflows, and drive business growth? On this episode of Real AI Use Cases Business Owners Roundtable, hosts Elizabeth Gearhart and Richard Gearhart welcome Paul Burani, Co-Founder & CRO at Atlas Primer to explore how companies can use artificial intelligence strategically to improve productivity while strengthening the uniquely human skills that drive business success. Paul explains how AI agents can connect CRM systems, emails, and customer conversations to improve business development and personalized outreach. He also shares how AI-powered role-play and sales training help employees practice customer conversations, develop stronger communication skills, and receive personalized coaching without waiting for a human trainer. The discussion explores how business leaders can identify the right AI opportunities, measure return on investment (ROI), automate repetitive tasks, preserve institutional knowledge, and use AI to make better decisions. Rather than adopting every new AI tool, Paul recommends starting with clear business objectives, testing solutions, and measuring results. Discover why the future of AI at work isn't necessarily about replacing people—it's about automating routine tasks so employees can focus on judgment, relationship-building, problem-solving, and other uniquely human strengths. TL;DL — Too Long; Didn't Listen AI agents for business: Connect CRM systems, emails, and customer data to improve outreach and customer relationships. AI sales training: Use AI role-play to practice customer conversations, receive feedback, and improve sales performance. Strategic AI implementation: Start with business objectives, test solutions, and measure ROI instead of chasing the latest tools. AI automation and productivity: Automate repetitive work so employees can concentrate on higher-value activities. Human skills in the AI era: Strengthen communication, empathy, judgment, and trust while using AI to enhance productivity. AI for business growth: Use organizational data to identify problems, share knowledge, improve processes, and uncover new opportunities. FAQs: 1. How can businesses use AI agents to improve sales and marketing? AI agents can connect customer conversations, email, and CRM data to help businesses identify promising prospects, personalize outreach, determine effective messaging, and improve the timing of communications. 2. How can AI be used to train sales teams and customer service employees? AI-powered role-play allows employees to practice realistic customer interactions, handle difficult conversations, improve active listening, and receive feedback on their performance in a repeatable, low-pressure environment. 3. How should businesses decide which processes to automate with AI? Businesses should begin by identifying a specific problem and defining the desired outcome. They can then test AI solutions on a small scale, establish measurable performance indicators, and evaluate whether the results justify broader implementation. 4. How can businesses measure the ROI of AI implementation? Companies can track measurable outcomes such as employee onboarding time, sales cycle length, average deal size, operational costs, and productivity improvements. They should also account for implementation expenses and staff time. 5. Will AI replace employees and eliminate the need for human skills? AI can automate many repetitive tasks, but businesses still rely on people... Chapters (00:00:00) - Introduction and Welcome(00:00:58) - How Paul Uses AI: Connecting CRM and Communication(00:02:55) - Richard and Elizabeth's AI Use Cases in Outreach(00:04:48) - AI's Historical Evolution and Rise of ChatGPT(00:07:27) - Entrepreneurs as AI Frontier Pioneers(00:08:32) - Strategic vs Low-Hanging Fruit AI Adoption(00:11:11) - Visioning Business Transformation with AI(00:12:21) - Gearhart Law's Background and IP Expertise(00:13:49) - Incremental vs Transformational AI Gains(00:16:11) - Atlas Primer: Maximizing Human Potential with AI(00:18:34) - Role-Play Training and Practice Infrastructure(00:20:57) - Designing New Processes Around AI(00:22:08) - AI Limitations: The Big Picture Problem(00:22:40) - Personal AI Website Experience and Human Support(00:24:13) - Setting Up a Practice Program with Atlas Primer(00:26:35) - Capturing Sales Expertise and Institutional Knowledge(00:28:38) - Data Security and Knowledge Base in Atlas Primer(00:30:20) - Client Results and Case Study: Travel Company(00:34:01) - Closing Remarks and Sign-off

How are businesses actually using AI—and when does it create more problems than it solves? On Real AI Use Cases Business Owners Roundtable, hosts Elizabeth Gearhart, Ph.D., and Richard Gearhart join entrepreneurs and business experts for a candid discussion about practical AI applications, data confidentiality, intellectual property risks, productivity, and the real return on investment of AI tools. From using AI to research questions and verify sources to creating branded marketing materials, automating purchase-order processing, editing podcasts, and generating content, the panel shares real-world examples of how AI is changing everyday business operations. But the conversation also reveals why businesses need to think carefully before handing AI their confidential information, relying on its answers, or investing in expensive AI integrations. TL;DL: What you'll learn in this episode How businesses are using AI for research, design, administrative tasks, and content production. Why entering confidential business information, client communications, or unpublished inventions into public AI tools can create serious risks. How AI use could affect trade secrets, patent rights, and legal proceedings. Why traditional automation may be a better investment than AI for some business processes. How to evaluate AI tools based on actual time savings, productivity, and return on investment. Why human judgment, independent thinking, and fact-checking still matter. Whether AI tools are becoming more capable—or simply creating new frustrations and expectations. Real AI use cases from the roundtable Richard Curtis explains how he uses AI for research and follows its citations back to original sources. Rose Marie Iskowitz discusses using Claude's design capabilities to develop branded social media assets, presentations, and other creative materials. Yidian Liu shares how AI helps organize purchase orders from multiple vendors into a standardized spreadsheet. Elizabeth Gearhart explains how AI streamlines podcast production, including creating episode descriptions, keywords, transcripts, and images. Richard Gearhart shares a cautionary legal example involving an expert who used AI improperly in preparing a report for litigation. The risks businesses cannot afford to ignore The panel examines the potential consequences of submitting confidential company information, client emails, or unfiled invention details to public AI tools. They discuss how data-handling policies matter, why protecting intellectual property requires care, and how AI-generated work can create problems in legal proceedings. The conversation also explores a common business mistake: adopting AI simply because it is available. Existing automation tools may already solve a problem more efficiently, while poorly implemented AI integrations can consume more time than they save. Finally, the panel debates whether AI is improving, why its answers can still be unreliable, and how businesses can benefit from AI without surrendering human judgment, creativity, or control. Frequently asked questions about AI for business 1. Is it safe to enter confidential business information into ChatGPT or other AI tools? It depends on the specific tool, its settings, its data-handling policies, and your organization's agreements and obligations. Businesses should review how information is processed and retained before submitting trade secrets, client information, unpublished inventions, or other sensitive material. When in doubt, use an approved, appropriately protected workflow. 2. Can using AI affect patent rights or trade secrets? Potentially. Disclosing an inven... Chapters (00:00:00) - Intro and Quick AI Use Case Round(00:01:07) - Googling with Citations and Claude for Design(00:02:39) - Sorting POs with Automation Tools(00:03:08) - AI Misuse by Legal Experts in Court(00:04:46) - AI for Podcast Editing and Content Creation(00:07:01) - Authors Becoming Media Technicians(00:07:52) - Confidentiality Risks with AI Tools(00:08:20) - Hiring and Spotting AI-Generated Work(00:08:40) - AI Hijacking Thinking and Rabbit Holes(00:09:43) - Patent Disclosure Dangers with Public LLMs(00:11:40) - AI vs Existing Automation (Zoho CRM Example)(00:13:02) - Is AI Worth the Time Investment?(00:13:41) - Historical Parallel: E-books and Human Values(00:15:05) - Sci-Fi Reflections on Over-Automation(00:15:32) - Chair Shopping Fail and AI Accuracy Debate(00:16:25) - Is AI Getting Better or Worse Over Time?(00:18:39) - Closing Thoughts and Sign Off

How are businesses actually using AI right now—and where do humans still need to stay involved? On this episode of Real AI Use Cases Business Owners Roundtable, Elizabeth Gearhart and Richard Gearhart talk with business leaders about practical, real-world ways they are using AI for work, productivity, research, content creation, learning, automation and decision-making. TL;DR: AI can save businesses significant time, help employees learn new skills, improve writing and readability, assist with research, plan travel and even help manage complex business processes. But the conversation also highlights an important limitation: AI should not be trusted blindly. Human oversight is still critical when errors could have serious consequences, when accuracy matters, and when AI-generated content needs judgment, context and a human voice. Dr. John La Puma explains how he uses AI to manage his farm, prepare for podcasts, organize research and stay on top of email. Michael Greenberg shares how AI helps him plan trips, train new employees and create skills maps for learning new disciplines. Bill Treloar discusses using AI for website and blog brainstorming, content structure and readability analysis—while warning against publishing low-quality “AI slop.” Richard Gearhart describes using AI as a sounding board for legal ideas and communications, while Elizabeth Gearhart explains how she used Claude and Perplexity to help plan a major software transition and prevent potential upgrade problems. The discussion also tackles a bigger business question: When can an AI agent handle an entire process, and when does a human need to check its work? The answer may depend on how costly a mistake would be. A process that can tolerate a 95% success rate may be suitable for greater automation, while mission-critical tasks may still require human review. The episode explores practical AI use cases including AI agents, AI automation, AI-assisted writing, research agents, NotebookLM, email management, employee training, skills mapping, business process improvement and human-in-the-loop AI. FAQs: How are businesses using AI right now? Businesses are using AI for content brainstorming, research, employee training, process improvement, email management, readability analysis, travel planning, business planning, knowledge management and automation. Should businesses let AI work without human oversight? It depends on the consequences of an error. AI can potentially handle processes where mistakes are relatively low-risk, but humans should remain involved when accuracy is mission-critical or an error could cause significant harm. What is human-in-the-loop AI? Human-in-the-loop AI means AI performs part or most of a process while a person reviews, verifies or approves important outputs before they are acted upon. How can businesses use AI without publishing low-quality content? AI can be useful for brainstorming, research, outlining and improving readability, but businesses should have humans review and edit content for accuracy, originality, context, tone and quality before publishing it. Can AI help employees learn new skills? Yes. AI can create customized learning plans, recommend books, videos and articles, break larger skills into smaller components and help employees develop new areas of expertise. How can AI help with business process improvement? AI can analyze existing processes, identify potential problems, suggest improvements and create plans for reducing bottlenecks or preventing mistakes. Human judgment is still needed to determine which recommendations make sense for the business. What are AI agents? AI agents are AI systems that... Chapters (00:00:00) - Introduction to the Roundtable(00:00:35) - Dr. John La Puma: AI for Farm Management(00:01:30) - Michael Greenberg: AI for Weekend Planning(00:02:06) - Bill Treloar: AI for Web and Blog Writing(00:02:39) - Richard Gearhart: AI as a Legal Sounding Board(00:03:28) - Elizabeth Gearhart: AI for Software Transition Planning(00:04:47) - Debate on Human Oversight vs AI Autonomy(00:05:43) - When to Trust AI vs Require Human Checks(00:07:23) - Dr. John La Puma: AI for Podcasts and Research(00:08:34) - More AI Uses: Readability and Emotional Emails(00:09:29) - Closing Thoughts and Sign-Off

How does AI get reliable information—and how can businesses use AI to automate work, build products faster, and even create new revenue from their data? On this episode of Real AI Use Cases Business Owners Roundtable hosted by Elizabeth and Richard Gearhart, Andrew Lebbos, SVP of Licensing at Benzinga explains how a financial data company is using AI throughout its business while also supplying trusted financial data to AI platforms. Benzinga provides data to platforms including Perplexity, helping AI systems answer financial questions with structured, verified information. Andrew explains why data accuracy and quality assurance are critical for AI, especially in financial services where incorrect information can have serious consequences. Benzinga combines automated quality checks with human review to identify errors, outliers and AI hallucinations before information is published or delivered to clients. The conversation also explores how businesses are building around AI instead of simply adding AI to legacy systems, how AI is helping engineers dramatically reduce time to MVP, how employees across different departments are using AI differently, and why businesses should use enterprise AI tools rather than uploading company information into consumer accounts. Andrew also shares his experience using Claude, Perplexity, Perplexity Computer and Genspark, including an impressive example of using AI to create a presentation that would have taken approximately 40 hours to produce manually. Perhaps most importantly, Andrew explains how businesses with valuable data can potentially license that data to AI companies and LLMs—and why consistency, structured delivery, accuracy and credibility are essential to becoming a valuable data provider. TL;DL — Too Long; Didn't Listen AI isn't just a tool businesses use—it is becoming an ecosystem businesses can power. Benzinga uses AI internally, helps clients build AI systems, and licenses financial data to AI platforms. This episode explores AI automation, reliable data for LLMs, AI hallucinations, enterprise AI, AI productivity, data licensing and how businesses can prepare their data for the AI economy. What You'll Learn: How Benzinga uses AI across its business and development processes How financial data can be used to power AI platforms and answer engines Why accurate, structured data is critical for LLMs How businesses can reduce AI hallucinations through data quality and human review How AI can automate tedious business processes Why some companies are building new systems around AI instead of adding AI to legacy technology How AI is helping engineering teams build products and reach MVP faster How employees in different departments can use AI in different ways Why businesses should use enterprise AI agreements for sensitive company information How businesses can potentially license valuable data to AI companies and LLMs What makes a data set valuable enough for an AI company to purchase How Claude, Perplexity and Genspark can be used for business productivity FAQs: How is AI being used in financial services? AI is being used to automate processes, accelerate product development, analyze information and help deliver financial data through AI-powered platforms. Benzinga also supplies financial data to AI platforms. Why is accurate data important for AI and LLMs? AI models can make mistakes or produce hallucinations. For financial information, where there is often a specific correct answer,... Chapters (00:00:00) - Introduction: Benzinga and AI Data Contribution(00:01:38) - Andrew's Role at Benzinga(00:02:28) - Building Systems Around AI(00:03:14) - Automating Podcast Workflow with AI Tools(00:03:57) - Ensuring Data Accuracy and QA Processes(00:05:10) - Government Trade Filings and OCR QA(00:06:30) - Favorite LLMs and Tools Used(00:07:42) - Company AI Usage Policies and Guardrails(00:09:02) - Team-Wide AI Usage Across Departments(00:10:07) - Perplexity Partnership and Data Licensing(00:12:06) - Business Model for Licensing Data to LLMs(00:13:58) - Reddit Data, Accuracy, and Financial Reliability(00:16:22) - Comparing Fable 5, Perplexity, and Other Tools(00:17:50) - Closing Thoughts and Benzinga's Mission

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... 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

AI: What’s Actually Working Right Now? What are business owners actually using AI for right now—and which tools are delivering real results? In this episode of Real AI Use Cases: Business Owners’ Roundtable, Elizabeth Gearhart and Richard Gearhart are joined by Sonia Satra, Lisa Lane, and Lauren Lane for a candid conversation about how they’re using AI in their businesses today. The discussion goes well beyond theory. The group shares practical AI use cases involving content creation, e-commerce, business research, marketing, AI visibility, regulatory monitoring, brainstorming, analytics, and automation. Lauren explains how she uses AI as a tutor to quickly understand a new business and analyze what is happening across major e-commerce platforms. Lisa shares how tools such as TikTok can transform a single image into video content, helping brands create marketing assets faster. Richard discusses using AI to monitor changes at the U.S. Patent and Trademark Office and across the regulatory landscape—work that would otherwise require significant staff time. Elizabeth shares how she is experimenting with AI to repurpose existing podcast content into structured, searchable blog content and discusses why businesses need to think about AI visibility and Answer Engine Optimization (AEO)in addition to traditional SEO. The conversation also gets into some of the frustrations and risks of working with AI. How much should you trust the answer? Does an AI become biased toward what it thinks you want to hear? Should you use ChatGPT or Claude? And how careful should businesses be about putting confidential information into an AI platform? Sonia shares her experience with Claude repeatedly telling her that instead of asking more questions, she needed to take action—leading to a discussion about how increasingly human AI interactions can feel. TL;DR AI is becoming a practical business tool, not just an experiment, with uses ranging from marketing and content creation to analytics and regulatory research. ChatGPT and Claude behave differently, and the group discusses why some users prefer one over the other depending on the task. AI visibility is becoming increasingly important as customers use ChatGPT, Gemini, Perplexity, and other answer engines to discover businesses. AI still requires human oversight. Facts should be verified, important processes need clear instructions, and confidential information needs to be handled carefully. The most effective approach may be to let AI assist with ideas, research, analysis, and repetitive work while keeping human judgment, expertise, and voice at the center. In This Episode The group discusses: How businesses are using AI to create marketing content AI-powered TikTok and e-commerce tools Using AI to learn a business faster Monitoring regulations and industry developments with AI Turning podcasts and other long-form content into searchable articles SEO versus Answer Engine Optimization How businesses can become more visible in ChatGPT and other AI engines ChatGPT versus Claude AI hallucinations, bias, and limitations AI privacy and data security Building AI agents and assistants Why human judgment and authenticity still matter Frequently Asked Questions How are business owners using AI right now? Business owners are using AI for content creation, research, brainstorming, e-commerce analytics, marketing, regulatory monitoring, business education,... Chapters (00:00:00) - Intro: AI in daily brand work(00:00:43) - Round table intros and first AI use cases(00:02:23) - Video content generation with TikTok AI(00:02:50) - Tracking IP regulatory landscape with AI(00:03:37) - Answer engine optimization and blog discoverability(00:05:40) - Presenting AI marketing tips to CPAs(00:06:35) - Schema code and AI visibility basics(00:07:42) - The Claude 'take action' story(00:08:57) - AI's emotional tactics and user engagement(00:09:28) - Claude vs ChatGPT preferences(00:09:50) - Limitations: transcripts, linear thinking, agents(00:11:23) - AI learning your brand and bias questions(00:12:42) - Testing Gearhart Law visibility across LLMs(00:14:16) - Adding personal voice and disagreeing with AI(00:14:48) - Privacy concerns and multiple AI assistants(00:15:44) - Closing remarks

How are real businesses using AI right now? In this episode of Real AI Use Cases Business Owners Roundtable, Elizabeth Gearhart and Richard Gearhart are joined by Michael Housman of AI Performance Lab and Chris Fabregas of Chris Fabregas Fine Art Prints for a candid discussion about practical AI applications, AI agents, automation, creativity, marketing, copyright, AI tools, jobs, and the rapidly changing business landscape. Michael Housman explains how AI agents automate his speaking engagement process, saving him two to three hours every day by tracking inquiries, contracts, travel, follow-ups and preparation. He also shares how businesses are using AI to automate repetitive work, increase marketing output, reduce costs and give employees opportunities to focus on higher-value work. Chris Fabregas explains how he is using AI to enhance photography, create massive fine-art prints, animate photographs, streamline Shopify product descriptions and transform his creative business. He also shares how he used Suno AI to help produce his song “Fireflies on I65” after writing the lyrics himself. The conversation tackles a major question for creative professionals: Can AI be both a threat to creative work and a powerful new tool for creators? The guests discuss AI-generated art, photography being copied or used to create derivative artwork, copyright concerns, and how creative professionals may need to adapt their businesses as AI becomes more capable. The roundtable also explores AI agents that can access computers and perform tasks, including drafting emails, creating presentations, browsing the web, managing calendars and interacting with files. The group discusses the importance of safeguards when AI has access to sensitive business information. Elizabeth Gearhart shares how she uses AI for content creation, deep research and answer engine optimization (AEO), including researching how businesses can become more visible in ChatGPT, Gemini, Perplexity and other AI answer engines. The discussion also compares different AI models and tools, including ChatGPT, Claude, Gemini, Perplexity, Grok and Microsoft Copilot, and explores their different strengths for research, writing, multimedia, automation and business tasks. The episode goes beyond the hype to examine what AI actually looks like inside businesses today—and how entrepreneurs, small business owners, creatives and professionals can use AI to save time, increase productivity, develop new capabilities and adapt to rapid technological change. TL;DR Real businesses are already using AI to automate repetitive work, improve marketing, enhance creative projects, create content, analyze business data and operate AI agents. Michael Housman discusses AI agents that save hours of administrative work, while Chris Fabregas explains how AI is helping him expand photography and music projects. The roundtable also examines AI copyright concerns, job disruption, AI literacy, model comparisons, computer-using AI agents, data privacy and the challenge of keeping up with rapidly evolving AI technology. FAQs: What are some real-world AI use cases for small businesses? Small businesses are using AI for marketing, content creation, repetitive task automation, business analysis, customer communications, product descriptions, creative work, research and administrative workflows. How can AI agents automate business tasks? AI agents can move work through multi-step processes, identify when follow-up is needed, provide reminders, draft communications, work with calendars and files, browse the web and perform other computer-based tasks. Michael Housman describes using AI agents to automate his speaking engage... Chapters (00:00:00) - Intro and Guest Introductions(00:00:57) - Michael's AI-Powered Speaking Business Automation(00:02:24) - Chris's Photography and AI Print Enhancement(00:03:52) - Richard's Legal Practice AI Strategy Use(00:04:50) - Elizabeth's Use of AI for Content and SEO(00:06:30) - Michael's Background and Democratization of AI(00:07:14) - Chris Writes a Song Using AI (Suno)(00:10:16) - Business Innovation Examples and Job Impact(00:12:02) - Pace of AI Change and Adaptation Challenges(00:13:36) - AI and Creative Ownership Debate(00:15:48) - Photographer's Perspective on AI Disruption(00:17:55) - Email Overload and Agent-to-Agent Communication(00:19:31) - Claude's Snarkiness and Model Comparisons(00:21:11) - Chasing the ChatGPT Answer Engine(00:23:13) - Claude's Agentic Computer Control(00:24:22) - Data Privacy and Trust in AI Agents(00:26:25) - Chris's Favorite Tools and AI in Business Apps(00:28:31) - AI Sparking New Creative Ideas(00:30:58) - Favorite LLMs and Copilot Complaints(00:32:50) - MCPs, Token Waste, and AI Business Models(00:35:14) - Energy Use and Data Centers Debate(00:38:48) - Data Center Location and Latency Discussion(00:40:02) - AI Image Generation Tools Comparison(00:41:37) - Book, Song Plugs, and Closing Remarks

Real AI Use Cases That Are Working - What Can AI Really Do for Your Business?  What can AI actually do for a business today? In this episode of Real AI Use Cases: Business Owners Roundtable, Elizabeth Gearhart and Richard Gearhart are joined by Leah Solivan, Nate Amidon, and Lauren Hidalgo for a practical conversation about how they are using AI in real businesses right now. The discussion moves well beyond simple prompting. Leah shares how an AI assistant has automated work equivalent to roughly two and a half full-time employees, helping with research, spreadsheets, emails, podcast preparation, and other everyday workflows. Nate explains how he uses AI as a thought partner for brainstorming and marketing while maintaining his own voice. He also discusses how tools such as Claude are making it possible for people without traditional software engineering backgrounds to build applications and solve business problems themselves. Lauren shares how she uses AI for research, writing, industry analysis, and shopping-related discovery, including generating real leads through ChatGPT. Richard explains how ChatGPT helped develop a new branding strategy for Gearhart Law—work that traditionally could have required an outside marketing agency. Elizabeth shares how she is using AI for research, content development, AI visibility, and Answer Engine Optimization—and how Gearhart Law recently gained a new client who found the firm through ChatGPT. The group also looks ahead at AI agents, customer service automation, entrepreneurship, authenticity, and an important question: As AI becomes more capable, will human interaction actually become more valuable? TL;DR AI is already automating significant amounts of everyday business work. Business owners are using AI for research, writing, branding, workflows, marketing, and content development. AI tools are making software development accessible to people without traditional technical backgrounds. ChatGPT and other AI platforms are beginning to generate real business leads and influence product and service discovery. AI visibility and Answer Engine Optimization are becoming increasingly important for businesses that want to be recommended by AI. As automation grows, authenticity and human interaction may become even more valuable. The best way to become better at AI may simply be to use it regularly and learn through practice. Frequently Asked Questions How are businesses using AI right now? Businesses are using AI for workflow automation, research, spreadsheets, email preparation, marketing, brainstorming, content development, branding, software creation, customer discovery, and website optimization. Can AI really replace a meaningful amount of business work? In the episode, Leah Solivan describes an AI assistant that has automated work equivalent to approximately two and a half full-time employees across tasks such as research, spreadsheets, email automation, and podcast preparation. Can non-programmers use AI to build software? Yes. The discussion highlights how AI tools are allowing people without traditional software engineering backgrounds to create applications, databases, prototypes, and other business tools. Can ChatGPT generate actual business leads? Yes. Elizabeth discusses a recent client who found Gearhart Law through ChatGPT, while Lauren Hidalgo describes receiving shopping leads through ChatGPT after working on her business's AI visibility. What is Answer Engine Optimization? Answer Engine Optimization, or AEO, is the process of making a business and its content easier for AI-powered answer engines to discover, understand, and potentially recommend when users ask relevant questions. ... Chapters (00:00:00) - What AI Is Already Doing for Businesses(00:00:39) - Real AI Use Cases: Business Owners Roundtable(00:01:24) - Automating the Work of 2.5 Full-Time Employees(00:01:53) - AI, Confidential Information, and Business Security(00:02:24) - Using AI as a Business Thought Partner(00:03:28) - AI for Research, Writing, and Industry Analysis(00:04:24) - Using ChatGPT to Develop a Branding Strategy(00:05:17) - A New Client Found Gearhart Law Through ChatGPT(00:06:26) - Deep Research, Claude, and the Next Generation of AI Tools(00:06:56) - AI Is Democratizing Software Development(00:07:51) - AI Is Democratizing Entrepreneurship(00:08:46) - Startups Are Building Faster Than Ever(00:09:34) - Perplexity, AI Visibility, and Content Creation(00:10:50) - ChatGPT Is Generating Shopping Leads(00:11:26) - What Is Answer Engine Optimization?(00:11:47) - AI Is Changing Online Shopping(00:12:26) - What Happens When AI Agents Move Faster Than Humans?(00:13:05) - Why Human Customer Service May Become More Valuable(00:14:19) - Authenticity and the Human-First AI Strategy(00:15:01) - The New Skills Humans Will Need in an AI World(00:15:32) - The Best Way to Learn AI: Use It(00:16:02) - Where to Hear More Real AI Use Cases

Is AI Making Us Smarter—or Dumbing Us Down? AI can help us work faster, analyze information, generate ideas, create images, write code, and streamline business operations. But what happens when we start relying on it too much? In this episode of Real AI Use Cases: Business Owners Roundtable, Elizabeth and Richard Gearhart sit down with Ryan Stana, Joey Stiver, and Ron Platt for a candid conversation about how business owners are actually using AI—and where they’re drawing the line. Ryan explains why his creative business uses AI to enhance human creativity rather than replace it. Joey discusses why AI can be useful behind the scenes in technology and development but potentially damaging to trust in patient-facing healthcare. Ron raises an even bigger concern: if AI starts doing our thinking, writing, researching, and problem-solving for us, could those human skills begin to deteriorate? Elizabeth shares how she uses ChatGPT, Claude, and Gemini as research and feedback partners, combining their input with her own professional experience rather than simply accepting what the AI tells her. She even describes pushing back when all three AI systems wanted her to remove a slide from a presentation—and deciding her own judgment was better. Richard provides another real-world example of the dilemma. While evaluating candidates for a CFO position, he used an LLM to compare financial models—and then realized he hadn't actually reviewed the models himself. Was AI making the process more efficient, or was he outsourcing a skill he should still be exercising? The conversation also tackles AI-generated creative work, disclosure and transparency, legal risks, AI accuracy, ChatGPT vs. Claude vs. Gemini vs. Perplexity, and when businesses should—and shouldn't—use AI. Together, these examples raise the central question of the episode: How do we take advantage of AI without giving up the human expertise, creativity, critical thinking, and judgment that make the technology useful in the first place? TL;DL AI should enhance human abilities, not replace them. The panel explores how AI can improve productivity while keeping human creativity and judgment at the center. Don't outsource your thinking to AI. Using AI for research, analysis, writing, and decision-making can save enormous amounts of time—but humans still need to evaluate the results. Know when to disagree with AI. Elizabeth uses multiple LLMs for research and feedback but doesn't automatically follow their recommendations when her own experience tells her otherwise. Overreliance on AI could weaken skills. The group questions whether letting AI handle too much writing, research, creativity, and problem-solving could eventually make us less capable of doing those things ourselves. Transparency matters. Businesses need to consider when customers and clients should know that AI was involved in creating content or delivering work. Different AI tools have different strengths. ChatGPT, Claude, Gemini, and Perplexity each have use cases where they may perform better than the others. AI output still needs human oversight. Faster isn't necessarily better if nobody checks whether the answer is accurate, appropriate—or even legal. Frequently Asked Questions Is AI making us smarter or dumbing us down? AI can make people more productive by accelerating research, analysis, coding, brainstorming, and other tasks. But the panel raises an important concern: if we allow AI to do too much of our thinking for us, we may stop exercising the very skills that make us effect... Chapters (00:00:00) - Introduction to the Roundtable(00:01:24) - Ryan and Joey's AI Use Cases(00:03:07) - Ron's Marketing Uses and Skepticism(00:04:06) - Losing Skills to AI(00:04:27) - Richard's Hiring and Modeling Use Case(00:05:56) - Elizabeth's AI Research and Directory Experiment(00:07:51) - Which AI Tools Everyone Prefers(00:09:12) - Video Editing and Multi-Tool Workflows(00:10:14) - Creativity, Dependence, and Brain Atrophy(00:11:08) - Legal Transparency in AI-Generated Work(00:12:21) - Mailbox AI Design and Postal Regulations(00:13:30) - Healthcare Ad Restrictions and Closing Thoughts

How are actual business owners leveraging artificial intelligence right now—and where is it still falling short? In this dynamic roundtable recorded at iHeart Studios in Manhattan, hosts Elizabeth and Richard Gearhart are joined by entrepreneurs Craig Smith, Chris Ryan, and Jeff Sibel to break down the real-world applications, surprising shortcuts, and frustrating pitfalls of integrating AI into day-to-day business operations. From creating high-converting presentation slides and cross-industry content to detecting candidate work product and managing internal knowledge bases, our panel shares practical, no-fluff ways AI acts as a force multiplier for modern businesses. TL;DL (Too Long; Didn't Listen) AI as an Editor & Research Assistant: Craig Smith highlights using AI to tighten prose, inject punchiness, and act as a real-time copy editor to save hours of drafting time. The "Expertise Octopus": Chris Ryan explains how AI extends your reach across content generation, idea outlines, and critical counter-questioning to stress-test your business strategy. Content Blending: Jeff Sibel shares how he uses Claude and ChatGPT to bridge distinct topics—like real estate and financial planning—into engaging, weekly educational presentations with custom illustrations. Catching AI with AI: Richard Gearhart uses AI tools to evaluate job applicants' work products, checking whether candidates genuinely understand the core material or merely copied AI output. Visual Slide Decks & In-Image Editing: Elizabeth Gearhart walks through designing eye-catching presentation slides and using ChatGPT's pinpoint in-image edit tool to tweak specific visual details. Combating "AI Slop": The panel critiques AI's tendency to over-explain, generate cluttered slides, and strip away authentic human voice, stressing the urgent need for brevity, prompt efficiency, and active voice preservation. Everyday Life & Workplace Advice: Panelists share off-the-cuff personal uses, from organizing kids' summer camp options and brainstorming gifts to gaining a neutral second opinion on delicate workplace dynamics. Episode Highlights & Timestamps 00:00 – Introductions: Shifting the conversation from "What are you watching?" to "What are you using AI for?" 01:45 – Craig Smith on Stephen King, daily writing, and using AI as a line editor 02:40 – Chris Ryan on the octopus model and using AI to challenge your own assumptions 03:10 – Jeff Sibel on bridging real estate and wealth management using ChatGPT and Claude 03:45 – Richard Gearhart on screening candidate job submissions for AI-generated work 05:00 – Elizabeth Gearhart on creating marketing slides and using ChatGPT’s canvas/in-image editor 06:30 – Tackling "AI Slop" and the lost art of concise communication 08:45 – Database hygiene, token consumption, and "training the puppy" 10:45 – Maintaining brand voice when publishing through AI agents like Manus 11:45 – Personal use cases: Camp research, gift ideas, and navigating coworker friction Frequently Asked Questions (FAQs) Q: How can AI be used to improve business writing without replacing the author? A: Rather than asking AI to write from scratch, panelists recommend drafting your ideas first and using the tool as a developmental editor to trim wordiness, punch up headlines, and provide counter-arguments to test your logic. Q: How do business owners detect if job applicants are using AI? A: Many employers run submitted work produ... Chapters (00:00:00) - – Introductions: Shifting the conversation from "What are you watching?" to "What are you using AI for?"(00:01:45) - – Craig Smith on Stephen King, daily writing, and using AI as a line editor(00:02:40) - – Chris Ryan on the octopus model and using AI to challenge your own assumptions(00:03:10) - – Jeff Sibel on bridging real estate and wealth management using ChatGPT and Claude(00:03:45) - – Richard Gearhart on screening candidate job submissions for AI-generated work(00:05:00) - – Elizabeth Gearhart on creating marketing slides and using ChatGPT’s canvas/in-image editor(00:06:30) - – Tackling "AI Slop" and the lost art of concise communication(00:08:45) - – Database hygiene, token consumption, and "training the puppy"(00:10:45) - – Maintaining brand voice when publishing through AI agents like Manus(00:11:45) - – Personal use cases: Camp research, gift ideas, and navigating coworker friction

Episode Title: AI at Work: From Resistance to Results with Dr. Gleb Tsipursky TL;DR Future-of-work expert Dr. Gleb Tsipursky joins hosts Elizabeth Gearhart and Richard Gearhart to reveal how real companies use AI agents to automate high-value tasks—from lead generation in financial firms to legal workflow prep. Learn how to overcome workplace resistance to AI, prompt across LLMs without losing context, and train AI models directly on your business processes. Show Notes & Description: Why do most AI projects fail to scale, and how are successful companies using AI right now to drive real business results? In this episode of Real AI Use Cases: Business Owners Roundtable, hosts Elizabeth Gearhart and Richard Gearhart sit down with behavioral scientist and future-of-work expert Dr. Gleb Tsipursky, author of "The Psychology of AI Adoption at Work: From Resistance to Results." Dr. Tsipursky breaks down how modern businesses—from financial wealth management firms to general legal practice—are quietly automating outbound outreach, client intake, and complex workflow preparation using AI agents. Plus, the hosts dive into legal hallucinations, prompt engineering across LLMs, and why the biggest barrier to AI ROI isn't technology—it's human psychology. What You’ll Learn in This Episode: Real-World AI Agents in Action: How a financial services firm built an automated agent using Claude to source high-value leads and draft personalized outreach—saving thousands on manual research. Overcoming Employee & Industry Resistance: Why attorneys and corporate teams fear AI, how to handle hallucinated case law, and why human-in-the-loop review is mandatory. LLM Strategy & Migration: How to export your personalized context and memory from ChatGPT to Claude in seconds without losing years of project setup. Process Mapping & Workflow Automation: How to use tools like Claude Cowork to screen-record manual tasks and instantly convert them into repeatable AI agents. Model Breakdown: When to use standard models (Claude Sonnet / ChatGPT) versus high-level reasoning models for complex, high-stakes business proposals and legal filings. Featured Guests & Resources: Guest: Dr. Gleb Tsipursky (CEO of Disaster Avoidance Experts) Book: The Psychology of AI Adoption at Work: From Resistance to Results (Georgetown University Press) Get a Free Chapter & Introduction: Visit disasteravoidanceexperts.com/aibook Frequently Asked Questions (FAQs) Q: What is an AI agent, and how does it differ from standard ChatGPT prompts? An AI agent is a repeatable automated task configured to interact with the real world independently. Instead of answering a single prompt, an agent can run on a schedule to gather web data, draft customized emails, or prepare client portfolios automatically. Q: How can businesses use AI agents without replacing human employees? AI agents excel at repetitive research, drafting, and data intake, but humans remain essential for final quality control, tone judgment, and high-stakes client relationships. In the episode, Dr. Tsipursky emphasizes keeping a "human in the loop" to review and send outgoing communications. Q: How do legal professionals avoid AI hallucinated cases? General LLMs can invent legal citations if used improperly. To prevent hallucinations, law practices use specialized legal AI platforms (such as Westlaw or LexisNexis AI) grounded directly in verified case databases, backed by strict attor... Chapters (00:00:00) - Real AI Use Cases(00:01:15) - Real-world case study: Automated lead generation for financial advisors(00:04:15) - What is an AI agent, and how much does it actually cost?(00:06:30) - he human-in-the-loop rule for high-value clients(00:07:00) - Resistance in the legal industry: 700+ attorney sanctions and hallucinations(00:09:40) - Legal AI vs. LLMs: Avoiding hallucinated court cases(00:12:10) - Model rankings: Claude vs. ChatGPT vs. Copilot vs. Perplexity(00:13:30) - Master Prompt: Transferring your chat memory between LLMs(00:18:20) - Advanced Workflows: Screen recording and process mapping with Claude Cowork(00:19:40) - Where to connect with Dr. Gleb Tsipursky

AI Saves Time - Claude + Notion: How This CEO Cut 80 Hours to 8 How much time can AI actually save a business—and where does it still need a human in the loop? In this episode of Real AI Use Cases: Business Owners Roundtable, Elizabeth Gearhart and Richard Gearhart talk with Ryan Charles of Omni Common about how his growth marketing agency is putting AI to work every day. Ryan explains how his team uses Notion as a central source of truth, connecting client data, project management, meeting notes, reporting and other information—and then works with Claude to analyze that information and turn it into actionable business insights. The results can be dramatic. Ryan describes one data-analysis and strategy workflow that once could have taken roughly 80 hours and now takes about eight. TL;DL — Too Long; Didn’t Listen AI can produce major time savings: Ryan describes cutting a data-analysis and growth-strategy workflow from about 80 hours to 8 hours using Claude. Give AI a reliable source of truth: Notion, spreadsheets and raw data files help keep business information organized and reduce dependence on an LLM's memory. Human oversight still matters: AI can analyze data, build presentations and help create content, but numbers need verification and AI-generated writing often needs substantial editing to preserve an authentic brand voice. In this episode: How Omni Common uses Notion + Claude as part of its AI workflow Connecting Claude to Notion using MCP Using AI to analyze Google Analytics, Shopify, Square and other business data Turning complex data analysis into client presentations How AI cut one workflow from roughly 80 hours to 8 hours Why AI-generated numbers still need to be verified Using spreadsheets as a reliable source of truth Creating presentations with Claude and applying brand guidelines Why AI still struggles to preserve a company's—or person's—authentic voice The problem of "AI slop" Why human writers remain important even when AI is part of the content workflow How Elizabeth uses AI to optimize her own writing for LLM and AI search without giving up her voice Why different LLMs may be better suited to different jobs Ryan also shares why his agency still relies heavily on humans for final content creation. AI can research, synthesize and organize information remarkably quickly, but getting the final product truly on brand and in the right voice can require substantial human intervention. The takeaway: AI can dramatically accelerate business intelligence, marketing and content workflows—but the best results come when businesses combine AI's speed with reliable data, verification and human judgment. Frequently Asked Questions How can businesses use Notion and Claude together? Notion can serve as a central repository for client information, project data, meeting notes, tasks and reporting. Ryan's team connects Notion with Claude so Claude can access that information and use it for analysis and other business tasks. Can Claude connect directly to Notion? Yes. Ryan describes connecting Claude and Notion using MCP (Model Context Protocol), allowing Claude to access information stored in Notion as part of the workflow. How much time can AI save on business data analysis? In Ryan's experience, the savings can be sub... Chapters (00:00:00) - Cold Open(00:01:55) - Elizabeth - Why choose Claude?(00:02:29) - Ryan Charles - why Omni Channel runs on Notion + Claude(00:03:17) - Richard Gearhart - Are able to quantify the impact?(00:04:07) - Ryan Charles - Claude and data analysis(00:07:01) - Richard Gearhart - LLMs and data analysis(00:08:39) - Ryan Charles - Claude and branding and powerpoint(00:10:31) - Elizabeth Gearhart - LLMs and presentations(00:12:13) - Ryan Charles - content creation and AI slop(00:15:00) - Elizabeth Gearhart - Manus website and blogs(00:17:29) - Group - AI for presentations, AI slop