Leveraging AI

Hosted by Isar Meitis

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Episodes

338

Latest episode

Oct 2026

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EN-US

About the show

Dive into the world of artificial intelligence with 'Leveraging AI,' a podcast tailored for forward-thinking business professionals. Each episode brings insightful discussions on how AI can ethically transform business practices, offering practical solutions to day-to-day business challenges. Join our host Isar Meitis (4 time CEO), and expert guests as they turn AI's complexities into actionable insights, and explore its ethical implications in the business world. Whether you are an AI novice or a seasoned professional, 'Leveraging AI' equips you with the knowledge and tools to harness AI's power responsibly and effectively. Tune in weekly for inspiring conversations and real-world applications. Subscribe now and unlock the potential of AI in your business.

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November 3, 2026Episode 34152 min

341 | How to Automate Accounting with Claude AI (and Catch Errors Before They Cost You) with Maksims Sičs

Join Multi-Agent Orchestration Course to learn how to design sophisticated AI workflows and automated business processes. Use promo code LEVERAGINGAI100 for $100 off - https://multiplai.ai/multi-agent-orchestration-course/ What if your next accounting mistake could be caught by AI before it ever reaches your financial reports? From messy general ledgers to time-consuming reconciliations, accounting can drain valuable resources. But Claude AI is changing what's possible, helping businesses turn raw financial data into structured reports, identify discrepancies, and automate repetitive work. In this episode of Leveraging AI , host Isar Meitis sits down with Maksims Sičs, co-founder of the Microsoft Excel World Championship and founder of Flowbyte AI, for a practical demonstration of AI-powered accounting automation. Watch how Claude transforms months of general ledger data into Excel-based profit and loss statements and balance sheets, while flagging errors that might otherwise go unnoticed. In this session, you'll discover: How to use Claude AI to automate accounting workflows without complex technical skills. How to turn six months of general ledger data into structured P&L statements and balance sheets. Why asking AI to use Excel formulas instead of hard-coded numbers makes financial reports easier to audit and update. How to provide the right business context to reduce AI assumptions and improve accuracy. How Claude can identify duplicate invoices, VAT discrepancies, unusual transactions, and missing information. How to use AI to reconcile financial data and simplify monthly accounting reviews. Why these same AI automation principles can work across other business operations. Maksims Sičs is a finance professional, co-founder of the Microsoft Excel World Championship, and founder of Flowbyte AI, where he helps businesses automate operational processes using artificial intelligence. About Leveraging AI Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

October 31, 2026Episode 3401 hr 1 min

340 | Cyber-geddonm! OpenAI Disconnecting Training from the Internet 🤯, Microsoft is Buying Out 60K employees, AI is taking over the commerce world, and more important news for the week ending October 30, 2026

Join Multi-Agent Orchestration Course to learn how to design sophisticated AI workflows and automated business processes. Use promo code LEVERAGINGAI100 for $100 off - https://multiplai.ai/multi-agent-orchestration-course/ What happens when AI becomes your best employee, your biggest competitor, and your newest cybersecurity threat—all at once? AI is no longer just changing how businesses operate. It's changing how hackers attack, how customers shop, and how companies compete. And while businesses are racing to adopt AI, the technology is moving faster than many organizations can adapt. The solution isn't to slow down AI adoption. It's to get smarter about where you invest, how you protect your business, and how you prepare for an increasingly agent-driven economy. In this episode of the Leveraging AI podcast , host Isar Meitis connects the dots between accelerating AI cybersecurity threats, the rise of agentic commerce, and the increasingly important question of AI's return on investment. From AI agents finding ways around security restrictions to Google's changing search experience, Stripe's agentic payments infrastructure, and the growing gap between AI-powered shoppers and unprepared merchants, this episode explores what business leaders need to understand now. In this session, you'll discover: The new cybersecurity reality: How AI agents are discovering vulnerabilities, bypassing security boundaries, and enabling cyberattacks at a speed and scale that traditional defenses struggle to match. Why businesses must rethink cybersecurity: The emerging risks highlighted by incidents involving AI agents, financial institutions, critical software infrastructure, and Binance. The practical steps leaders should take: Why software updates, cybersecurity risk assessments, and reviewing insurance coverage deserve immediate attention. How AI is rewriting the rules of search: Why Google's AI Overviews are changing website traffic, customer discovery, and the value of traditional SEO. The rise of AI-powered advertising: How autonomous agents are beginning to plan, buy, and optimize advertising campaigns. Why agentic commerce matters: How Stripe, Visa, and Mastercard are building payment infrastructure for a future where AI agents can transact on behalf of customers. The opportunity hiding in merchant unreadiness: Why businesses that prepare for AI-assisted purchasing could gain an advantage over slower competitors. The latest developments from AI leaders: News involving Anthropic's IPO filing and Google's emerging model capabilities. About Leveraging AI Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

October 27, 2026Episode 33939 min

339 | How to Rank in ChatGPT & Google AI Search: The New SEO Playbook with Ryan Doser

Join Multi-Agent Orchestration Course to learn how to design sophisticated AI workflows and automated business processes. Use promo code LEVERAGINGAI100 for $100 off - https://multiplai.ai/multi-agent-orchestration-course/ What happens when your next customer asks ChatGPT for a recommendation—and your business isn't part of the answer? Traditional SEO still matters. But ranking on Google's first page is no longer the whole game. As ChatGPT, Gemini, Claude, and AI-powered search tools reshape how people discover businesses, getting cited and recommended by AI is becoming a competitive advantage. The solution? Build a smarter content strategy that works for both traditional search engines and AI agents. In this episode of the Leveraging AI Podcast, host Isar Meitis sits down with AI marketing and SEO expert Ryan Doser to break down how businesses can improve their AI search visibility, automate content creation, and turn existing content into a scalable marketing engine. Ryan shares his practical workflow using Claude Code, ChatGPT Codex, AI skills, and SEO data tools. He also demonstrates how a single YouTube video can become an SEO-optimized article, visual content, and a promotional email—all through an automated process. In this session, you'll discover: Why traditional SEO isn't dead, but ranking on Google is no longer enough. How to get your business discovered and cited by ChatGPT, Gemini, Claude, and Google AI Search. How Ryan combines Claude Code and ChatGPT Codex to build automated SEO and content marketing workflows. How to turn one YouTube video into multiple optimized marketing assets using AI agents. What real-world SEO experiments reveal about AI-generated websites and search rankings. How to prepare your website for a future where AI agents—not just humans—are discovering your content. Ryan Doser is a digital marketing and SEO specialist with over 10 years of experience. He runs his own business, helping companies attract and nurture leads through digital marketing and AI-powered search strategies. Ryan combines his marketing expertise with AI tools to develop automated workflows for content creation, search optimization, and website publishing. About Leveraging AI Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

October 24, 2026Episode 3381 hr 7 min

338 | AI agents now work 6x the hours of their humans at Anthropic 🤯, AI just put 70% of all websites at risk, Is AI a bubble? “We grew a mind” (OpenAI safety insider), and more important AI news for the week ending October 23, 2026

Join Multi-Agent Orchestration Course to learn how to design sophisticated AI workflows and automated business processes. Use promo code LEVERAGINGAI100 for $100 off - https://multiplai.ai/multi-agent-orchestration-course/ Is AI creating the biggest business opportunity of our lifetime—or setting us up for a spectacular crash? Billions are pouring into AI. Companies are reporting extraordinary productivity gains. And the people building the most advanced models are raising serious alarms about what comes next. The opportunity is enormous, but so are the risks—and business leaders can't afford to ignore either side. In this episode of Leveraging AI , Isar Meitis cuts through the headlines to examine the AI bubble debate, reveals what Anthropic's internal productivity data means for the future of work, and explores why a former OpenAI safety insider is sounding the alarm. From AI agents transforming business operations to emerging cybersecurity threats, this is a reality check every business leader needs. In this session, you'll discover: AI bubble or business boom? Why experts disagree about the sustainability of AI investments, and what a potential market correction could mean for businesses. The productivity revolution is already happening. How Anthropic reports a fivefold increase in code output and significant efficiency gains across sales, legal, finance, and recruiting. The 75% wake-up call. Why Anthropic employees expect AI to handle 75% of their work by 2030, while the general US public expects just 28%. The future of hiring is changing. Why AI is reducing demand for some junior roles and shifting the focus toward judgment, autonomy, and strategic thinking. An OpenAI insider's warning. Why former safety employee David Robinson resigned and what his concerns reveal about AI development, alignment, and release pressures. AI-powered cybercrime is escalating. How agents are being used to attack financial institutions, discover critical software vulnerabilities, and potentially compromise security monitoring systems. What leaders should do now. Why AI education, workforce planning, smarter automation, and measurable productivity outcomes should be strategic priorities. The bottom line? Whether AI is in a financial bubble or not, its impact on business operations is already very real. The challenge isn't simply adopting more AI. It's building an organization that knows how to use it effectively, safely, and strategically. About Leveraging AI Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

October 20, 2026Episode 33738 min

337 | Stop Sounding Like ChatGPT: Build an AI Skill That Writes Like You with Jonathan Mast

Want to build powerful AI agents and automate complex business workflows? Join the Multi-Agent Orchestration Course and use code LEVERAGINGAI100 for $100 off: https://multiplai.ai/multi-agent-orchestration-course/ What if the biggest problem with your AI-generated content isn't what it says, but the fact that everyone knows AI wrote it? AI can write your emails, proposals, social media posts, and marketing content in seconds. But when everything sounds like the same generic chatbot, efficiency comes at the expense of authenticity. And for business leaders, that can damage the relationships and credibility they've spent years building. The solution isn't to stop using AI. It's to teach AI how to communicate like you. In this episode of Leveraging AI, Isar Meitis sits down with Jonathan Mast, founder of White Beard Strategies and AI coach, to demonstrate a practical, four-step process for teaching ChatGPT, Claude, Gemini, and other AI tools to capture your unique voice, writing style, and brand personality. You'll learn how to create a reusable AI voice guide and turn it into an AI skill that helps produce consistent, authentic content across different tools and business workflows. In this session, you'll discover: Why generic AI-generated content can undermine your brand and professional credibility. How to quickly personalize ChatGPT using a personality profile. The four-prompt framework for creating a detailed AI voice and writing style guide. Why your emails, meeting transcripts, and natural conversations are valuable training examples. How to turn your voice guide into a reusable AI skill for ChatGPT, Claude, and other AI tools. Why testing and refining your AI skill is essential for reliable results. How businesses can share brand voice skills across teams to maintain consistent communication at scale. Resources: Download Jonathan's four-prompt AI voice framework: https://docs.google.com/document/d/1T9gc0zvwEG8FsRwJvWF9lNlfiUHBUrYuW6H1V1tgoWA/edit?usp=sharing About Leveraging AI Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

October 17, 2026Episode 3361 hr 17 min

336 | “Software Is Over” - 1 guy rebuilt Adobe and Office in 2 weeks 🤯 , A spy hid a mic in toilet paper at OpenAI, 2 New Frontier Models Released, and more important AI news for the week ending October 16, 2026

Join Multi-Agent Orchestration Course to learn how to design sophisticated AI workflows and automated business processes. Use promo code LEVERAGINGAI100 for $100 off - https://multiplai.ai/multi-agent-orchestration-course/ What happens when one developer can recreate an entire software empire in two weeks? And what happens to your business when AI agents can do the work of entire teams? The rules of business software are changing. AI can now help recreate complex applications, connect directly to enterprise data, and automate workflows that once required entire departments. Meanwhile, Google, Anthropic, Microsoft, and Meta are racing to make AI agents more powerful, accessible, and affordable. In this week's Leveraging AI news episode, Isar Meitis breaks down the developments business leaders cannot afford to ignore. From an AI developer challenging Adobe and Microsoft to new enterprise AI agents, frontier models, escalating cybersecurity threats, and the growing impact of AI on employment, this episode connects the headlines to the decisions CEOs need to make today. In this session, you'll discover: How one developer used AI to recreate alternatives to Photoshop, Excel, PowerPoint, and other major applications—and why this could threaten the traditional SaaS business model. Why businesses spending hundreds of thousands of dollars on software subscriptions should reconsider the economics of building their own tools. How Claude, Gemini, and Microsoft are turning enterprise software into environments where AI agents can access data, create dashboards, and execute tasks. What Meta's new Muse models and Google's Gemini 4 Argon mean for AI performance, costs, and enterprise adoption. Why increasingly capable AI models are creating serious new cybersecurity risks, even as they generate enormous business value. How AI safety concerns, corporate espionage allegations, and demands for international oversight are shaping the industry's future. What new agent protocols, AI integrations, and workplace automation capabilities mean for the next generation of business operations. Why AI-native companies are rethinking their workforce, and how AI champions, employee training, and organizational transformation can create a competitive advantage. About Leveraging AI Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

October 13, 2026Episode 33545 min

335 | I Built An AI Chief of Staff That Helps Run 5 Businesses with Dima Negodiuk

🚀 Ready to build AI agents that run your business? Join my Multi-Agent Orchestration Course and learn how to build powerful AI automation systems: https://multiplai.ai/multi-agent-orchestration-course/ — Use code LEVERAGINGAI100 for $100 off. What if you could run five businesses without a traditional team—and have AI agents handling most of the work, 24/7? That's exactly what entrepreneur Dima Negodiuk has built. With no coding background, Dima created an AI-powered operating system that helps him manage five businesses, automate daily operations, and make better decisions without constantly being involved in every task. And the most surprising part? He built it himself. In this episode of Leveraging AI , Dima joins Isar Meitis to demonstrate how he uses Claude Code, Codex, and AI agents to build an AI Chief of Staff, a virtual board of directors, and autonomous workflows that can run overnight. This isn't another conversation about what AI might do someday. It's a look inside systems that are already running real businesses. In this session, you'll discover: How Dima built an AI Chief of Staff that understands his preferences, manages communications, and handles tasks on his behalf. How to build AI agents using Claude Code, even without knowing how to code. How Dima combines Claude, Codex, and custom skills to create more reliable AI systems. How an AI board of directors can challenge your thinking and help you make better business decisions. How to create AI agents that work overnight and continuously improve their performance. Why the secret to successful AI automation is starting with your most boring, repetitive business processes. How to keep humans in control while AI handles increasingly complex workflows. Dima Negodiuk is a serial entrepreneur with approximately 15 years of business experience. After leaving Ukraine and relocating to New York, he taught himself how to build AI automation systems. Today, he operates five AI-powered businesses and shares practical insights on building AI agents, automating operations, and scaling businesses without a traditional technical background. About Leveraging AI Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

October 10, 2026Episode 3341 hr 3 min

334 | AI just got 50x cheaper 🤯, Buy any AI model from anyone (Coming soon), “The world should accept some bad things happening” (Sam Altman), and more important AI news for the week ending October 9, 2026

What happens when AI gets 90% cheaper, the biggest AI companies start embracing their competitors, and serious questions emerge about whether anyone is keeping this technology safe? The AI industry is entering a new phase. The race is no longer just about building the smartest model. It's about delivering better intelligence at dramatically lower prices, giving businesses more flexibility, and making AI agents capable of using the best tools for every task. Meanwhile, growing safety concerns are raising uncomfortable questions about the speed of AI development. In this episode of Leveraging AI, Isar Meitis breaks down the biggest developments of the week and, more importantly, explains what they mean for your business. From Claude Haiku 5.5 and GPT-6 Luna challenging the economics of AI to OpenAI's growing safety controversy and AI making new scientific discoveries, this episode connects the headlines to the decisions business leaders need to make today. In this session, you'll discover: Why AI vendor lock-in may be coming to an end: How leading platforms are embracing multiple models and what that means for your AI strategy. How AI intelligence just got dramatically cheaper: Why Claude Haiku 5.5 and GPT-6 Luna are challenging the assumption that better AI must cost more. How the US is challenging China's advantage in affordable AI: What the latest models and open-source releases mean for enterprise adoption and costs. Why OpenAI's safety controversy is getting harder to ignore: What recent employee departures, public criticism, and independent safety evaluations reveal about growing concerns. How AI is reshaping scientific discovery: Why hundreds of AI-generated mathematical results are generating both excitement and controversy. What's next for AI-powered work: New developments in AI agents, automated meetings, dynamic presentations, enterprise integrations, and AI security. Want to go beyond using AI and start building powerful AI systems? Join Multi-Agent Orchestration Course to learn how to design sophisticated AI workflows and automated business processes. Use promo code LEVERAGINGAI100 for $100 off. And join the free Friday AI Hangouts to discuss the latest AI developments and practical business applications with other AI enthusiasts and leaders. About Leveraging AI Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

October 6, 2026Episode 33341 min

333 | Stop Prompting. Start Playbooking: How to Automate Your Business with AI with Rachel Woods

Learn more about Multi-agent orchestration Course and use LEVERAGINGAI100 to get $100 off! https://multiplai.ai/multi-agent-orchestration-course/ What if the reason your AI automations keep falling apart isn’t the AI, it’s the way you’re defining the work? Most businesses are still using AI as a smarter search engine or an occasional assistant. But if you want AI to reliably take work off your plate, you need something much more structured. In this episode of Leveraging AI, Isar Meitis sits down with AI entrepreneur and former Facebook AI team member Rachel Woods to break down the concept of AI playbooks — repeatable, detailed processes that allow AI to execute business tasks consistently and reliably. Rachel shares the framework she uses to turn everyday business processes into AI-powered systems. The idea is surprisingly simple: define the trigger, inputs, steps, and expected output. Then break complex workflows into smaller pieces that AI can execute extremely well. In this session, you'll discover: Why most AI automations fail when you give AI too much freedom How to turn existing business processes into AI playbooks The four components every AI playbook needs Why breaking complex workflows into smaller tasks dramatically improves AI performance How Rachel uses more than 100 playbooks to help run a 10-person company How AI can manage email triage, content creation, project planning, and other operational workflows Why you should “own the playbook and rent the tech” How to build reusable AI processes that aren't dependent on ChatGPT, Claude, or any specific platform Why your first AI playbook probably shouldn't be built by AI How individual playbooks can eventually work together like an entire AI team Rachel also walks through real examples, including her LinkedIn content workflow and a project-planning system that helped her team dramatically increase the number of projects they can execute. Connect with Rachel Woods on LinkedIn: https://www.linkedin.com/in/woodsrach/ About Leveraging AI Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

October 3, 2026Episode 3321 hr 23 min

332 | Bill Gates: “Letting AI Companies Self-Regulate Is Insane", the White House does it Anyway. 20 Announcements on OpenAI Dev Day + Gemini 4, Sonnet 5.5 and Muse for business Launches and More Important AI News for the Week Ending October 2, 2026

Learn more about Multi-agent orchestration Course and use LEVERAGINGAI100 to get $100 off! https://multiplai.ai/multi-agent-orchestration-course/ What happens when AI stops being a tool you open… and starts becoming a workforce that never logs off? That transition is happening faster than most business leaders realize. AI agents are moving into the cloud. They can work continuously, collaborate with other agents, access company data, write code, research, take actions, and increasingly operate without a human sitting in front of a computer. And while the capabilities are accelerating, the safety debate is getting significantly more serious. This week, Jensen Huang and Bill Gates presented dramatically different views of AI risk. OpenAI unveiled more than 20 announcements at DevDay. Google returned to the frontier-model race with Gemini 4. Anthropic launched Claude Sonnet 5.5. Meta pushed deeper into enterprise AI. Microsoft reshaped its Copilot strategy. And nearly every major player is converging on the same idea: always-on AI agents running in the cloud. For business leaders, the takeaway is bigger than another round of model upgrades. Start thinking beyond chatbots. The emerging AI operating model is persistent agents, shared workspaces, company knowledge, automated triggers, and humans supervising increasingly autonomous systems. In this session, you'll discover: Why Jensen Huang believes AI safety is fundamentally an engineering problem — and why Bill Gates strongly disagrees. The growing concern around AI-enabled cybersecurity attacks and the ability to remove model safeguards. Why the debate over AI regulation is becoming much harder to ignore. Jensen Huang's argument that AI will create more jobs — and the counterargument that this technological revolution may be fundamentally different from every one before it. Bill Gates' proposal to tax AI-generated labor as machines replace human work. NVIDIA's new approach to monitoring AI agents with independent hardware-level safeguards. What OpenAI's massive DevDay reveals about where the company believes AI work is heading. Why OpenAI Dots could make persistent, always-running AI agents mainstream. Why cost per token is becoming a misleading way to compare AI models. How Gemini 4, GPT-6.1 Sol, Claude Sonnet 5.5, and Meta Muse compare in an increasingly crowded frontier-model market. How realistic AI video participants could soon join human meetings. The AI race is no longer just about who has the smartest model. It's becoming a race to build the operating system for how humans and AI work together. About Leveraging AI Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!