The hardest part of agentic AI is not the demo — it's everything between the demo and a system you can trust on Monday morning. This talk maps the engineering work that takes an agent from working in a notebook to surviving production: evaluation, observability, identity and authorization, retry semantics, and human-in-the-loop integration.
Concrete patterns, failure stories, and a checklist for productionization-readiness.
Takeaways: A production-readiness checklist for agentic systems. Patterns for evaluation, retry, and human-in-the-loop. Common failure modes to watch for in week one.

Preferred length: 45 min (also 30 min).
Audience: AI engineers, engineering managers, platform architects.
Level: Intermediate to advanced.
First public delivery: 2026.