Leveraging AI

What if the biggest thing holding back your AI results isn't your prompts... it's your workflow?

Most people treat AI like a chatbot—opening a new conversation, asking a few questions, and starting over the next day. The result? Lost context, inconsistent outputs, and hours wasted trying to recreate work that's already been done.

In this episode of Leveraging AI, Isar Meitis is joined by AI strategist Loren Bartley to reveal a smarter way to work. You'll discover how to build AI Projects that remember your context, organize your work, coordinate multiple AI conversations, and become a true operating system for your business—not just another chat window.

Whether you're using Claude to manage clients, marketing campaigns, business operations, or strategic initiatives, this conversation will completely change how you think about working with AI.

In this session, you'll discover:

• What Claude Projects are—and why they're one of the most underused AI features available.
• How to build AI workspaces that retain context and deliver consistently better results.
• Loren's "Command Center" framework for managing multiple AI conversations without losing track of work.
• How AI Skills can automate project setup, documentation, and workflow management.
• Simple organization hacks that make working with AI faster, cleaner, and more scalable.

Loren Bartley is an AI strategist, marketing expert, and founder of Digital Business Momentum. She helps organizations move beyond basic prompting to build practical AI systems that improve productivity, streamline operations, and scale business workflows.

Connect with Loren on LinkedIn:
https://www.linkedin.com/in/lorenbartley/

 👉 Learn more about building smarter AI workflows here:
https://aimegasuccess.com/commodore

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!

Will governments, budgets, and AI economics—not model intelligence—determine who wins the AI race?

This week, the biggest AI stories weren't just about new models. They revealed three major shifts that every business leader should be paying attention to. Governments are becoming active gatekeepers of frontier AI. Companies are moving away from "use the smartest model for everything" toward cost-optimized AI strategies. And specialized AI solutions are rapidly gaining ground over one-size-fits-all frontier models.

If you're leading AI adoption inside your organization, these changes will influence your technology choices, budgets, competitive strategy, and long-term planning.

In this episode, Isar connects the dots between regulation, economics, and innovation to explain where AI is heading—and what it means for businesses over the next 12–24 months.

In this session, you'll discover:

• Why the U.S. government's approach to frontier AI appears to have shifted dramatically.
• What the Anthropic and OpenAI model restrictions could mean for future AI releases.
• Why China's AI ecosystem may benefit from tighter U.S. controls.
• How regulatory decisions could affect OpenAI, Anthropic, and their upcoming IPO ambitions.
• Whether independent AI safety auditors could become the future of AI regulation.
• Why Ford rehired hundreds of engineers after discovering AI couldn't fully replace experienced talent.
• What OpenAI's latest model revealed about AI reliability and model "cheating."
• Why enterprises are abandoning expensive frontier models for dramatically cheaper alternatives.
• How companies like Lindy, Uber, Amazon, and Glean are changing their AI spending strategies.
• Why orchestration layers and specialized AI models may become more valuable than simply building larger foundation models.
• The week's most important rapid-fire AI product launches, funding announcements, and industry developments.

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!

Are your Custom GPTs living on borrowed time—or is this the perfect opportunity to build something even better?

Rumors that OpenAI may phase out Custom GPTs have sparked plenty of debate. But instead of focusing on what might disappear, this episode explores what comes next—and why business leaders should be paying attention now.

If you've invested time building AI automations, or you're just starting to explore how AI can streamline your business, you'll discover how Custom GPTs, Projects, Skills, and Agents fit together, where each one excels, and why the future belongs to portable, reusable AI workflows.

Rather than waiting for platform changes to force your hand, learn how to build AI systems that are flexible, scalable, and ready for what's next. This episode breaks down the concepts into practical examples you can apply immediately.

In this session, you'll discover:

• Why the rumors around Custom GPTs matter—and what they could mean for your business.
• The differences between Chats, Custom GPTs, Projects, Skills, and AI Agents.
• When Projects are a better choice than Custom GPTs.
• How Skills make AI automations reusable across multiple workflows.
• The building blocks behind effective AI automation: instructions, context, and memory.
• A practical framework for creating reliable AI workflows that deliver consistent results.
• How to transition from simple prompts to sophisticated AI-powered business processes.
• Real-world examples of proposal automation, reporting, and workflow orchestration.

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!

Is your business ready for a world where AI doesn't just answer questions—but gets the work done?

The age of agentic AI has officially arrived. Companies are rapidly shifting from chat-based AI to autonomous AI agents capable of completing hours of work with minimal human involvement. The organizations that adapt early are likely to gain a significant competitive advantage, while those that hesitate risk falling behind.

In this episode, Isar Metis unpacks the biggest AI developments of the week—from OpenAI's dramatic internal transformation and Anthropic's latest enterprise agent, to the growing talent war between leading AI labs and breakthrough healthcare applications. More importantly, he explains what these changes mean for business leaders and how to prepare your organization for the next phase of AI adoption.

In this session, you'll discover:

•  Why OpenAI has shifted almost entirely to agentic AI internally. 
•  What the end of Custom GPTs means for businesses. 
•  How Anthropic's Claude is becoming a true AI teammate inside Slack. 
•  The biggest challenges around AI governance, security, and trust. 
•  Why AI agents are creating new budgeting and infrastructure challenges. 
•  The growing competition for top AI researchers—and why it matters. 
•  Healthcare breakthroughs showing AI's real-world impact. 
•  Practical steps every business leader should take today to prepare for an agentic future. 

If you're leading a team, shaping AI strategy, or simply trying to stay ahead of one of the fastest technology shifts in history, this episode will help you separate the hype from the practical reality.

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!

What if the biggest AI opportunity for your business isn't ChatGPT—but the tool quietly replacing it?

While much of the AI conversation has focused on Claude Code and coding assistants, a new contender is changing how business leaders think about productivity, automation, and execution.

In this episode, Dan Sanchez joins Isar Meitis to explore how OpenAI Codex has evolved far beyond software development. Together they reveal how AI agents can proactively find context, take action, automate complex workflows, and become true collaborators inside your business, not just chatbots that answer questions. 

If you're looking for practical ways to scale marketing, streamline operations, and unlock new levels of efficiency without increasing headcount, this conversation offers a glimpse into what the next generation of AI-powered work looks like. 

In this session, you'll discover:

•  Why OpenAI Codex is gaining momentum beyond software development 
•  The key differences between Codex, ChatGPT, Claude Code, and Claude CoWork 
•  How AI agents proactively find context and execute tasks autonomously 
•  Why project-based AI workflows are becoming essential for modern businesses 
•  How Dan uses Codex for marketing, content creation, and process automation 
•  The power of AI-accessible folders, files, and organizational systems 
•  How AI can generate, manage, and improve business assets over time 
•  Practical examples of automating large-scale content operations 
•  Why business leaders should start thinking beyond prompts and toward AI-powered execution 
•  The future of agentic workflows and AI-assisted business operations

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!

Can a company reach 1 billion users before figuring out how to make money—and still dominate the future of AI?

This week’s AI news cycle delivered a fascinating mix of milestones, competitive shakeups, enterprise AI breakthroughs, security concerns, and agentic innovation. OpenAI crossed the historic 1-billion-user mark, Microsoft opened Copilot CoWork to the masses, SpaceX made a massive move with its $60 billion Cursor acquisition, and new open-source challengers emerged to challenge the industry's biggest players. 

For business leaders, the message is becoming increasingly clear: AI capabilities are no longer the bottleneck. Adoption, governance, employee enablement, and operational execution are now the real competitive advantages. Organizations that successfully train their teams and embed AI into daily workflows are already seeing dramatic productivity gains and measurable business outcomes. 

In this session, you'll discover:

•  Why OpenAI's 1-billion-user milestone may be more complicated than the headlines suggest 
•  How ChatGPT's market share slipped below 50% while Gemini and Claude continue gaining ground 
•  OpenAI's new $150 million partner network and what it means for enterprise AI adoption 
•  Why Microsoft Copilot CoWork could become a game changer for organizations already invested in Microsoft 365 
•  The strategic implications of SpaceX acquiring Cursor for $60 billion 
•  How new open-source coding models are challenging leading closed-source AI systems 
•  Why AI governance and international cooperation became a major focus at the G7 Summit 
•  The growing scrutiny facing OpenAI ahead of its anticipated IPO 
•  New developments in agentic AI platforms from Databricks and Vercel 
•  How leading companies are using AI agents to transform productivity and operations 
•  What business leaders need to know about AI's growing impact on jobs, hiring, and workforce planning 
•  Why employees who openly use AI may still face workplace stigma despite widespread adoption

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!

What happens when AI starts building the next generation of AI—and even its creators admit they don't know what comes next?

This week, we explore a convergence of breakthroughs, billion-dollar bets, government oversight, and legal accountability that could reshape business faster than most leaders are prepared for. Anthropic's latest research suggests we're approaching an era where AI systems increasingly improve themselves, while governments are simultaneously looking for ways to slow, regulate, or gain visibility into the process. 

For business leaders, this isn't a future problem. It's a present-day strategic challenge. The organizations that understand how these forces connect—from AI capability acceleration to trillion-dollar capital markets and industry-wide disruption—will be far better positioned to navigate what's coming next.

In this session, you'll discover:

•  Why Anthropic believes recursive self-improvement may arrive sooner than most institutions are prepared for. 
•  How AI is now generating the majority of code used to improve future AI systems. 
•  What the latest AI performance gains mean for software development, research, and innovation. 
•  Why OpenAI and Anthropic are pursuing trillion-dollar-scale IPOs. 
•  How AI-driven consolidation could transform industries such as accounting. 
•  The emerging government response to increasingly powerful frontier AI models. 
•  Why policymakers are exploring new forms of oversight, ownership, and control of AI infrastructure. 
•  The growing debate around legal liability when AI-generated mistakes create real-world consequences. 
•  What business leaders should be watching over the next 12–24 months.

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!

What does AI transformation actually look like when it's done right?

After 300 episodes exploring AI's potential, it's time to go behind the scenes with one of the most advanced AI adoption stories we've seen. Not a Silicon Valley software company. Not an AI startup. A manufacturing business with 360 employees that has embedded AI into the way it works, builds, sells, and innovates.

In this special 300th episode, Isar Meitis sits down with Ari Supran, CEO of Sonance, to unpack the real-world journey of transforming an established business with AI. From leadership buy-in and employee training to custom-built applications, internal AI infrastructure, and company-wide adoption, this conversation offers a practical blueprint for business leaders looking to move beyond experimentation and into execution.

If you're wondering how to turn AI from an interesting tool into a competitive advantage, this episode provides a rare look at what's working, what's not, and what comes next. 

In this session, you'll discover:

•  Why leadership involvement—not delegation—is the foundation of successful AI transformation 
•  How Sonance grew AI adoption to more than 100 active employees across the organization 
•  The "orchestrator" role that's creating a new category of business value 
•  How non-technical domain experts are building powerful internal applications 
•  Why custom AI-powered tools can outperform expensive off-the-shelf software 
•  The infrastructure required to scale AI safely across an enterprise 
•  How AI agents and connectors are accelerating productivity throughout the company 
•  The role of knowledge graphs, context, and clean data in the next phase of AI adoption 
•  Lessons learned from three years of experimentation, implementation, and continuous learning 
•  What business leaders should do today to prepare for the next wave of AI transformation

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!

What if AI could produce two weeks of business analysis in five minutes?

Most leaders are still using AI as a chatbot—asking questions, generating content, and brainstorming ideas. But the real opportunity lies elsewhere: teaching AI how to execute repeatable business processes on demand.

In this episode, Isar Meitis reveals why AI skills may be the most important advancement in practical AI today. You'll learn how to transform AI from a conversation partner into a digital coworker that can generate reports, build presentations, create dashboards, manage workflows, and execute complex business tasks with minimal input.

Whether you're leading a team, scaling operations, or looking for ways to eliminate repetitive knowledge work, this episode provides a roadmap for creating AI systems that deliver real business outcomes.

In this session, you'll discover:

•  What AI skills are and why they matter more than prompting 
•  The difference between AI skills, agents, and orchestrators 
•  How AI can turn raw business data into executive-ready reports 
•  Why specialized skills outperform one-size-fits-all AI workflows 
•  How Claude and ChatGPT automatically select the right skills 
•  Real-world examples of skills used for branding, proposals, reporting, presentations, newsletters, and more 
•  How to make your AI capabilities portable across platforms 
•  Why AI skills can become the foundation of a scalable digital workforce 
•  How orchestrators connect multiple skills into powerful business systems 

The future of AI isn't better prompting, it's building reusable skills that allow AI to perform work consistently, accurately, and at scale. Once you understand how skills work, you can create AI-powered systems that function like employees rather than chatbots.

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!

Secure your spot for the MULTI-AGENT ORCHESTRATION AI COURSE: https://multiplai.ai/multi-agent-orchestration-course/

Are AI jobs disappearing faster than they're being created—or are we asking the wrong question?

For months, AI leaders warned of massive job losses. Now, some of the same voices are changing their tune. But while Sam Altman and Dario Amodei are sounding more optimistic, tech layoffs continue to climb, AI anxiety is spreading across the workforce, and business leaders are facing a difficult question: what's actually happening beneath the headlines? 

In this week's AI News episode, Isar Matis breaks down the conflicting signals shaping the future of work and explains why the next few years may be far more turbulent than many expect. He also explores a major shift in the AI race: why model intelligence is no longer the primary battleground, and why speed, cost, accessibility, and business value are becoming the metrics that matter most. 

If you're a business leader trying to understand where AI is headed—and what it means for your workforce, strategy, and competitive advantage—this episode provides a practical framework for separating hype from reality.

In this session, you'll discover:

•  Why Sam Altman says he may have been wrong about the pace of AI-driven job disruption. 
•  The Jevons Paradox and how increased AI productivity could create new demand. 
•  The reality behind recent tech layoffs and whether AI is truly responsible. 
•  Why employee anxiety around AI may matter more than the statistics themselves. 
•  The growing gap between jobs being eliminated and new AI-related roles being created. 
•  Why reskilling workers may be harder than most organizations expect. 
•  How the AI race is shifting from model quality to business value. 
•  Why open-source models are rapidly closing the gap with frontier AI systems. 
•  The hidden cost explosion companies are experiencing with AI tokens and agents. 
•  What Microsoft's latest Build announcements reveal about the future of enterprise AI. 
•  Why robots cleaning homes may be an early sign of AI's impact on blue-collar work. 

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!