Take AI Agents from Demo to Production with Port AI Builder

Port’s AI Builder is presented as a platform for moving AI agents from prototypes into governed production workflows by addressing organizational context, security guardrails, reusable expertise, plan-based approvals, and centralized management. The platform uses Port’s Context Lake to incorporate service ownership, dependencies, deployment history, and organizational standards, then lets teams describe workflows in natural language, review proposed plans, and run approved builds through versioned steps. Port supports both native workflows and existing external agents while aiming to provide centralized visibility and governance. The post cites dLocal’s internal dCoder agent as an example, reporting that it autonomously resolves 45% of engineering tickets and has increased productivity for its users by more than 20%, while developers remain accountable. It promotes an on-demand webinar featuring a live demonstration of building an agentic workflow in Port.

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