​The Munich AI Nexus is a senior-level meetup series for architects and engineers solving real-world production AI challenges.

​Meetup Focus:

• ​Observability - building a unified telemetry layer.

​Agenda highlights:

• ​Talk#1: Alexej Penner, Founding Engineer, ZenML: 
  From Traces to better agents: What we learned building an agent harness for improving agents

• ​Talk #2: Alexander Machado, Head of Trustworthy AI, appliedai Initiative:
  How trustworthy a self improvement system can be or what it takes for such systems to be trustworthy

• ​🧩 World Café Challenge: Group discussion challenge lead by topic captains, Maximilian Mayer [codecentric] and Jan Willem Kleinrouweler [appliedAI Institute for Europe ggmbh]
  How do we measure AI improvements in open ended tasks, when there's no single right answer.

• ​Networking sessions & Pizza

​Format:

• ​research input

• ​live demo context

• ​structured group discussion

• ​real tradeoffs

• ​synthesis of patterns and open questions

​Why This Exists?

​We noticed something: most AI meetups show you the shiny demo. Nobody talks about why your model works in staging but crashes in prod at 2am. Or why your data pipeline is held together with duct tape and prayers.

​So we built something different. Nine meetup sessions covering the stuff that actually breaks.

​The result? The Production Readiness Blueprint - an open-source collection of patterns that actually helped someone ship something.

​Event location:

​codecentric AG, Munich

• ​Host: Asaad Almutareb [founder of artiquare, appliedAI Developers MUC Meetup Curator]

• ​The appliedAI Developers bring together engineers, researchers and tech leaders solving real-world AI challenges through knowledge exchange and collaboration.

• ​Hosted by fortiss