Production-Ready AI Agents: 5 Lessons from Refactoring a Monolith

This article covers five key lessons for building production-ready AI agents, using a refactored sales research agent as an example.

• •Split monolithic designs into specialized sub-agents using Google's Agent Development Kit (ADK)
• •Use Pydantic schemas for structured outputs instead of prompt-based JSON formatting
• •Replace hardcoded data with dynamic RAG pipelines using Vector Search
• •Implement OpenTelemetry observability for real-time execution tracing and debugging
• •Apply framework-level cost controls including exponential backoffs and retry boundaries

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