Zeta Alpha - Improving Multi-Agent Workflows with Self-Optimization

As part of Amsterdam Tech Week 2026, join Arthur Câmara (Senior Research Engineer @ Zeta Alpha), co-author of Self‑Optimizing Multi‑Agent Systems for Deep Research, for an interactive talk/discussion on improving multi-agent workflows for industrial applications. We’ll look at how to allow multi-agent systems to explore their own traces, reason about previous failures and continue improving with self-feedback. We will also discuss how other ideas for automatically refining an agent harnesses, like autoresearch may (or may not) work in practice, and how we can help agents to trully learn with… Hosted by Irina Bobicev & 3 others