The gap between a working agent demo and a production system is where most AI projects die. Memory resets every session, there is no observability, scaling means rewriting everything, and cost spirals without warning.

In this session I take a simple agent and deploy it to production live: cross-session memory with a managed vector store, zero-code monitoring, auto-scaling, and cost optimization patterns. You see every step from notebook to production endpoint, with reusable code.

Outline:
• The Six-Month Gap
• Cross-Session Memory with S3 Vectors
• Zero-Code Monitoring and Observability
• Auto-Scaling and Cost Optimization
• The Complete Picture and Resources