Pragmatic Applications of AI and Agentic AI with Joseph Rose, President, JBS Dev
Tue Feb 03 2026
Pragmatic Applications of AI and Agentic AI with Joseph Rose Guest: Joseph Rose, President, JBS Dev Host: Alex Jarett, Founder, Technology Executives Club® In this Leadership Briefing, Joseph Rose delivers a pragmatic, systems-level explanation of how large language models (LLMs) and agentic AI actually work inside enterprise environments. Rather than treating AI as a black box or future-state promise, Joseph focuses on how these technologies behave today and how they should be implemented responsibly within real business and technology constraints. Joseph breaks down what LLMs are, why recent advances happened, and how enterprises can use these models for practical decision support and workflow automation without replacing human judgment. He explains where agentic AI fits operationally, why APIs and architecture matter more than model selection, and how emerging standards like MCP reduce friction in connecting agents to enterprise systems. The conversation explores common misconceptions that derail AI initiatives, including the belief that AI projects must be massive, long-running efforts, that organizations need to train their own models, or that perfect data is required before value can be created. Joseph also explains why LLMs are non-deterministic and why critical constraints must live in business logic and APIs, not in prompts. Throughout the session, the discussion stays focused on execution: how technology leaders can start with known workflow friction, apply AI where it adds leverage, and design systems that are secure, testable, and scalable. This Leadership Briefing provides a clear, executive-level understanding of today’s AI terminology, trends, and practical application—without hype or vendor spin. Topics Covered: * What large language models are and why recent progress happened* What agentic AI is in practice and how it operates inside enterprises* How AI supports real workflows without replacing human accountability* Why APIs and architecture are critical to AI success Where guardrails, security, and business logic must live* Why many AI projects fail and how to avoid common pitfalls This Leadership Briefing was hosted by Alex Jarett, Founder of Technology Executives Club®, the GTM Thought Leadership Platform for Technology Leaders & Tech-related B2B Executives. Visit www.technologyexecutivesclub.com to watch all our videos and learn how you can be featured
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Pragmatic Applications of AI and Agentic AI with Joseph Rose Guest: Joseph Rose, President, JBS Dev Host: Alex Jarett, Founder, Technology Executives Club® In this Leadership Briefing, Joseph Rose delivers a pragmatic, systems-level explanation of how large language models (LLMs) and agentic AI actually work inside enterprise environments. Rather than treating AI as a black box or future-state promise, Joseph focuses on how these technologies behave today and how they should be implemented responsibly within real business and technology constraints. Joseph breaks down what LLMs are, why recent advances happened, and how enterprises can use these models for practical decision support and workflow automation without replacing human judgment. He explains where agentic AI fits operationally, why APIs and architecture matter more than model selection, and how emerging standards like MCP reduce friction in connecting agents to enterprise systems. The conversation explores common misconceptions that derail AI initiatives, including the belief that AI projects must be massive, long-running efforts, that organizations need to train their own models, or that perfect data is required before value can be created. Joseph also explains why LLMs are non-deterministic and why critical constraints must live in business logic and APIs, not in prompts. Throughout the session, the discussion stays focused on execution: how technology leaders can start with known workflow friction, apply AI where it adds leverage, and design systems that are secure, testable, and scalable. This Leadership Briefing provides a clear, executive-level understanding of today’s AI terminology, trends, and practical application—without hype or vendor spin. Topics Covered: * What large language models are and why recent progress happened* What agentic AI is in practice and how it operates inside enterprises* How AI supports real workflows without replacing human accountability* Why APIs and architecture are critical to AI success Where guardrails, security, and business logic must live* Why many AI projects fail and how to avoid common pitfalls This Leadership Briefing was hosted by Alex Jarett, Founder of Technology Executives Club®, the GTM Thought Leadership Platform for Technology Leaders & Tech-related B2B Executives. Visit www.technologyexecutivesclub.com to watch all our videos and learn how you can be featured