Most AI agents work in demos. Production is where they break.
In 45 minutes, Temporal and Takima will walk through the full journey from use case to a production-ready agent. We’ll cover use case framing, SDK selection, implementation, and the orchestration layer that makes it all hold together.
Designed for backend and platform engineers who are already building with LLMs and want a practical path from prototype to production.
What you'll learn:
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Staff Solutions Architect
Temporal Technologies
Alexandre Roman is a Staff Solutions Architect at Temporal, where he helps enterprises design and adopt reliable, durable architectures. With over 20 years of experience in Java and Spring ecosystems, he has led cloud-native transformations across industries before turning his focus to workflow orchestration and AI.
Outside of work, you'll find him shipping open source projects (over 250 apps and demos on GitHub) or deep into a board game session.
CTO Engineering
Takima
Loic is the CTO of Takima. Expert in AI architectures and durable distributed systems, he has helped many of his clients with their adoption of Agentic AI in the past years. Loic oversees all of Takima’s work in AI software engineering, Agentic workflow architectures, and of course Temporal expertise.
On the weekends, he trades his passion for refactoring with extensive home renovation and wood-working, leading to other very interesting stories (out of the scope of this conference!)