From Prototype to Production

Learning Objectives Understand the gap between a prototype agent and a production agent Design for reliability, cost efficiency, and human oversight Know when your agent is ready for production and when it is not The Prototype-to-Production Gap A prototype agent that works on your laptop is exciting. A production agent that handles thousands of requests reliably, fails gracefully, stays within budget, and does not embarrass your organization is a completely different challenge. The gap is not primarily technical — it is about reliability, cost, safety, and observability. Production agents need to work not just when things go right, but when things go wrong. Reliability Engineering Graceful Degradation Your agent will encounter failures: API timeouts, rate limits, model errors, unexpected tool outputs. Design for these from the start: Retry with backoff for transient errors (API timeouts, rate limits) Fallback behaviors when tools are unavailable ("I was unable to search the web, but based on my knowledge...") Maximum step limits to prevent infinite loops (typically 10 to 25 steps) Timeout limits for total execution time (prevent runaway agents) Clear error messages when the agent cannot complete a task — do not fail silently Idempotency If your agent takes real-world actions (sending emails, updating databases, making purchases), ensure those actions are safe to retry. An agent that sends the same email twice because of a retry is a bug. An agent that processes the same payment twice is a liability. Rule: Actions with real-world consequences should have deduplication keys or confirmation steps. State…