Part 3: Production
Chapter 14: The Gap Between Prototype and Production
Building a demo agent is easy. Building one that works reliably in production is hard.
The gap between "it works in testing" and "it works at scale with real users" is where most agentic AI projects stumble. This section covers what it takes to bridge that gap.
What Changes in Production
| Prototype | Production |
|---|---|
| Friendly test inputs | Unpredictable real-world inputs |
| You watching every response | Running unattended at scale |
| "Good enough" quality | Consistent, reliable quality |
| Cost doesn't matter | Cost must be managed |
Key Insight
Production readiness isn't about perfection — it's about predictability. You need to know how your agent will behave, catch problems before users do, and recover gracefully when things go wrong.
The Production Readiness Journey
The following chapters cover each aspect of production readiness:
- Evaluation and Testing — How to measure and improve agent quality
- Observability and Monitoring — How to see what's happening in production
- Security and Guardrails — How to protect against misuse and errors
- Cost Management — How to keep spending under control
- Operations — How to maintain and improve agents over time