In this video
What you'll learn
Name the job before you pick a model
Design the path, not a pile of agents
Encode the scope in context, not folklore
Why this topic matters
You'll learn from
Carmelo Iaria
Agentic Architect, Pearson SME, Startup Founder, 30 years of global experience
I help teams move from AI pilots to governed, production-grade agentic systems — through live programs and hands-on advisory.
Three decades across Europe, the US, and Brazil taught me one lesson: AI value is won in execution — clear scope, reliable multi-agent workflows, and governance that survives production.
I teach that discipline on Maven (Become an Agentic Architect, live workshops, Lightning Lessons, resources) through my AI-Assisted Multi Agent Development (AAMAD) Framework. I also work as a Fractional Chief AI Officer with teams that need embedded judgment, not generic advice — plus O’Reilly live sessions and Pearson certification-aligned programs.
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