5 tips to creating production-ready AI agents

Five architectural tips for taking AI agents from prototype to production, sourced from Google's AI agent clinic. Key recommendations include breaking monolithic scripts into specialized sub-agents, using Pydantic models for structured output instead of prompt-based JSON formatting, building a RAG pipeline for dynamic data retrieval, implementing OpenTelemetry from day one for observability, and adding circuit breakers with exponential backoff to handle retries gracefully.