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

​This session continues the Production Readiness Blueprint series at appliedAI Developers.

​We've just completed Module 1: Context – From Data Chaos to Clarity, and now we're moving forward to the next hard problem: making agent behavior explicit, testable, and auditable.

​FOCUS:

• ​Theme: "Behaviour - Explicit, Inspectable Planning"
  Most agent failures aren’t caused by bad reasoning. They happen when reasoning meets the real world:

  • ​rate limits

  • ​partial failures

  • ​messy, multimodal inputs

  • ​missing decision traces

  • ​uncontrolled execution.

• ​This module focuses on Behavior as a first-class system concern. Not “LLMs that think better”, but systems that plan explicitly, act predictably and remain debuggable under real constraints.
  We’ll look at how production teams design agent behavior that remains reliable when models are throttled, inputs are chaotic, and execution environments are imperfect.

• ​Read on here to discover the 9 themes for our upcoming meetups and the final scope of our Production Readiness Blueprint.

​WHO THIS IS FOR:

• ​AI engineers

• ​AI architects

• ​ML platform teams

• ​Applied AI leads

• ​Builders working beyond PoCs

​If you’re operating agent systems in production, it is.

​HOW YOU CAN CONTRIBUTE:

​Share your related personal challenge, lesson learned.

​AGENDA:

​Talk #1: Andrei - "Routing, Throttling, and Reliability: Lessons from Operating AI Systems Under Real Constraints"
A production-focused walkthrough of how backend routing, model balancing, and execution handling evolve when systems hit:

• ​rate limits

• ​availability issues

• ​latency constraints

• ​scaling pressure

​What breaks first, what actually works, what remains brittle, and what Andrei would do differently if starting today.

​Talk #2: Interactive Session with Brinda and Tanja
"Multimodal Intake as a Planning Problem: From Chaotic Emails to Structured Execution"
A hands-on exploration of how real-world work starts:

• ​vague emails

• ​scanned PDFs

• ​attachments

• ​partial intent

​We’ll explore strategies for:

• ​model routing

• ​decision policies

• ​context preservation

• ​intermediate result reuse

• ​cost latency quality tradeoffs

• ​observability and failure handling

​This session is discussion-driven and workshop-style.

• ​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.