Designing LLM Agents: Frameworks, Architectures, and Trade-offs

​Join us for an interactive, engineering-driven workshop exploring the design of LLM agent systems. Together, we will examine how GenAI applications evolve from simple single-prompt interactions into more structured, agent-based architectures built for reliability, scalability, and more complex workflows. We will unpack key design questions, including when agents truly add value, which types of problems they are best suited to solve, and what trade-offs they introduce in terms of complexity, control, latency, and maintainability. Along the way, we will cover important concepts such as reasoning patterns, tool integration, memory, planning, and orchestration strategies. In a hands-on session, we will also take a deeper look at frameworks such as LangGraph and CrewAI, giving participants the opportunity to explore different implementation approaches in practice and better understand how to design effective agent systems for real-world use cases.

​Please only apply for this workshop if you hold a valid GenAI Zürich 2026 ticket. Applications submitted without a valid ticket will be rejected. Don’t have a ticket yet? You can secure yours here.

​All applications are subject to approval by the workshop organizers. If your application is successful, we recommend arriving 10 minutes before the workshop starts to secure your seat. Allocated seats that have not been filled 5 minutes before the workshop start may be released and reallocated to spontaneous participants.