Leveraging AI

You learned how to prompt. Great. Now what?

Most business leaders have figured out how to get decent answers from ChatGPT or Claude. But there's a massive gap between writing good prompts and actually building things that run your business. The people closing that gap right now aren't developers. They're business people who figured out one thing: you don't need to code when your browser can do it for you.

In this session, Chris Daigle will open his actual setup — Claude Code paired with a browser agent — and build real solutions live. Not slides. Not theory. You'll watch him set up OAuth integrations, automate LinkedIn workflows, and tackle the kind of backend tasks that normally require a developer. All through a browser. All without writing a single line of code manually.

Chris calls this evolution "thinking in builds" — the next level beyond prompting. It's where you stop asking AI for answers and start asking it to do the work. And the tools to do it are shockingly accessible: a free browser agent and a $20 Claude subscription.

Chris Daigle is the founder of ChiefAIOfficer.com, where he helps mid-market executives and their teams develop AI strategy, implement AI across departments, and become AI-enabled businesses. He trains Chief AI Officers, keynotes at YPO and Vistage events, and has been deep in the agentic AI space since its earliest days. Chris brings the rare combination of strategic thinking and hands-on building.

In this session, you'll discover:
- How to pair Claude Code with a browser agent like Comet to build real workflows — step by step
- What "thinking in builds" means and why it's the skill that separates AI users from AI builders
- How to automate OAuth setups, API integrations, and other backend tasks without touching code
- Real examples of browser agent workflows you can copy and use immediately
- Why even seasoned AI professionals are underestimating what browser agents can do right now
- How to safely sandbox your AI agents so they don't destroy your production environment
- The exact copy-paste workflow Chris uses to go from idea to working solution in minutes

This is the session where prompting graduates to building. If you've been watching everyone talk about agents but haven't actually deployed one yourself, this is your starting point.
About Leveraging AI
The Ultimate AI Course for Business People: https://multiplai.ai/ai-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/
AI BUSINESS TRANSFORMATION COURSE: https://multiplai.ai/ai-course/
Are AI tools finally ready to run parts of your business without you?
The latest wave of AI releases suggests the answer is shifting from “not yet” to “sooner than you think.” From dramatically improved autonomous agents to major leaps in multimodal capabilities—and growing cybersecurity concerns—this episode breaks down what’s changing and why it matters.
If you’re leading a business, the opportunity is massive—but so is the responsibility to adapt quickly and safely. This episode gives you a clear, practical lens on both.
In this session, you'll discover:
How Claude Opus 4.7 is unlocking longer-running, more reliable AI agents
Why improved image understanding is a major business advantage (not just a tech upgrade)
What real gains in legal, finance, and enterprise workflows mean for productivity
Why Meta’s new model is a serious comeback—and what makes it different
How lower token usage could reshape AI cost structures
Why OpenAI’s cybersecurity model signals a shift in how AI risks are handled
The growing tension between innovation, access, and control in AI development
Real-world proof of how teams can go from zero AI experience to building applications in 48 hours
Why cybersecurity risks are accelerating—and what leaders should be thinking about now
The critical need for collaboration between tech companies, governments, and organizations
About Leveraging AI
The Ultimate AI Course for Business People: https://multiplai.ai/ai-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/
AI BUSINESS TRANSFORMATION COURSE: https://multiplai.ai/ai-course/ 
What if your cold emails could feel like they were written just for each prospect—because they actually were?
The reality is most outreach fails not because of lack of effort, but lack of relevance.

In this episode, you’ll discover how AI can transform your entire lead generation process, from identifying ideal prospects to crafting deeply personalized emails that speak directly to their pain points.
Instead of blasting generic templates, you’ll learn how to build a scalable system that researches, qualifies, and communicates with precision—helping you reach the right people with the right message, at the right time.
In this session, you’ll discover:
 How to define and identify high-quality leads (not just more leads) 
 The step-by-step AI workflow for qualifying and enriching prospects 
 How to automatically research companies and extract real pain points 
 Why personalized cold emails outperform templates—and how to scale them 
 The exact system behind achieving 20–30%+ reply rates 
 How to structure effective cold email sequences that get responses 
 Tools and platforms to automate outreach without hurting deliverability 
 How to continuously improve your outreach with AI-driven feedback loops 
David Yu is the Founder & CEO of Futureman Labs, where he builds AI-powered automation systems that help businesses scale lead generation and outreach with precision.
He specializes in creating end-to-end AI workflows, from data sourcing and enrichment to personalized communication—helping companies turn cold leads into real opportunities.
👉 Connect with David on LinkedIn: https://www.linkedin.com/in/davidyu-ai/ 
About Leveraging AI
The Ultimate AI Course for Business People: https://multiplai.ai/ai-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/
AI BUSINESS TRANSFORMATION COURSE: https://multiplai.ai/ai-course/ 
What happens when AI becomes powerful enough to break the very systems your business depends on?
The latest AI breakthrough isn’t just another step forward—it’s a leap that’s forcing companies to rethink everything they thought was secure. 
In this episode, we break down the emergence of a new AI model with unprecedented capabilities—and why it hasn’t been released. More importantly, we explore what this means for business leaders navigating risk, strategy, and the future of digital infrastructure.
If there’s one takeaway: cybersecurity is no longer just an IT issue—it’s a core business survival priority.
In this session, you'll discover:
 Why the new “Mythos” AI model represents a step-change—not an incremental improvement 
 How AI is now capable of autonomously finding and exploiting critical vulnerabilities 
 What “zero-day vulnerabilities” mean and why they matter more than ever 
 The real-world implications of AI breaking out of controlled environments 
 Why companies like Anthropic are holding back releases—and what that signals 
 The growing gap between AI attackers and defenders 
 How global players are responding to the cybersecurity threat 
 Why this is quickly becoming a national security-level concern 
 The role of AI in both creating and solving cybersecurity risks 
 What business leaders must do now to prepare for this new reality 

About Leveraging AI
The Ultimate AI Course for Business People: https://multiplai.ai/ai-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/
AI BUSINESS TRANSFORMATION COURSE: https://multiplai.ai/ai-course/ 
You're still building automations the hard way, or even worse, not building them at all, because it is too complex

Dragging nodes. Debugging JSON. Googling error messages at midnight. Meanwhile, the businesses moving fastest right now are handing Claude a plain-English description of what they need — and getting a production-ready n8n workflow back in minutes.

This isn't theory. This is what Jérémy Grandillon does every single day for revenue teams across Europe.

In this session, Jérémy will walk you through the exact process he uses to go from a business problem to a fully deployed n8n automation — using nothing but Claude. You'll see the actual conversation, the prompts, the back-and-forth, and the finished workflow. No slides. No fluff. Just a live build from start to finish.

The specific use case: a lead nurturing system. Someone downloads your lead magnet, and an automated sequence kicks in — scoring the lead, personalizing follow-ups, and triggering the right message at the right time. The kind of workflow that used to take a developer two weeks to build. Jérémy ships it in one Claude session.

Jérémy Grandillon is the founder of TC9, a GTM automation consultancy based in Paris. With 60,000+ LinkedIn followers and a reputation as one of Europe's leading voices on AI-powered revenue operations, he's a HubSpot for Startups GTM Mentor and the organizer of France's Clay Cup nomination events. When it comes to using AI to build the systems that drive pipeline, Jérémy is the real deal.

In this session, you'll discover:

- How to describe a business workflow to Claude and get a working n8n automation back — no coding required
- Why old-school automation tools like n8n are more relevant than ever in the age of AI agents
- The exact prompting approach Jérémy uses to get Claude to build, troubleshoot, and fix n8n workflows
- How to build a complete lead nurturing sequence — from lead magnet download to personalized follow-up — in a single session
- When to use rigid automation vs. AI agents (and why the answer is usually both)
- How to handle compliance, data privacy, and production-grade reliability when AI builds your workflows
- The tools and setup you need to start building automations with Claude today

If you've been doing automation the manual way — or worse, not automating at all — this episode will change how you think about what's possible.
About Leveraging AI
The Ultimate AI Course for Business People: https://multiplai.ai/ai-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!