How Real AI Systems Are Built: Workflows vs Agents

In this talk, Xavier Zuvekas shares how AI systems are actually built and used in real organizations—where reliability, efficiency, and outcomes matter.

Xavier brings experience building and deploying machine learning systems across industries, working at the intersection of engineering and real-world operations. His focus is simple: building AI that removes friction and delivers measurable value.

You’ll learn:

- How real AI systems are structured in practice

- What to build first when turning an idea into a working system

- When a workflow is enough, and when using an AI agent actually makes sense

- Common mistakes that cause AI projects to stall or fail

If you want to understand how AI goes from idea to something that actually works, and hear from someone who builds these systems for real, this talk is worth your time.

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