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A practitioner shares ten critical lessons for deploying AI agents in production, emphasizing code-based constraints, context management, and security over relying solely on prompts.
Enterprise AI adoption is moving from pilots to production, with the key lying in priority setting and value measurement. The greatest value is seen in shifting from information acquisition to process automation, and executives using Codex can accelerate the transformation.
This article discusses the transition from demo AI agents to production-ready systems, covering six pillars for deployment including input validation, graceful degradation, and state checkpointing.