The original title is "Beyond Toy Demos: Deploying AI Agents in Production"

Short summary

The article argues that most AI agent demos never reach production because they live in standalone chat windows rather than integrating into existing team workflows. It recommends event-driven architectures with structured outputs (Pydantic-enforced JSON), state persistence (Redis/Postgres), and sandboxed tool execution in Docker containers. A case study from Gaper shows a ticket-triage agent cutting manual support workload by 40% when kept focused on a single integration step.

• •Move agents from standalone chat demos into event-driven workflows with webhooks and retry queues
• •Prioritize structured outputs, state persistence, and sandboxed tool execution for production reliability
• •A focused single-integration agent cut manual support workload by 40% for one client

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