Six-Field Permission Framework Helps Developers Control AI Agents Before Deployment

A software developer has shared a structured six-field task card used to define the boundaries of an AI agent before it is given any tools or system access. The framework covers goal, permitted reads, permitted writes, actions requiring human approval, stop conditions, and output visibility. The approach was shaped by an early ecommerce automation attempt that was abandoned because the workflow touched payments and refunds, where mistakes would be difficult to reverse. The developer argues that narrowing an agent's scope upfront — limiting data access and keeping humans in the approval loop — is safer than expanding permissions after a system is already built around them. The method supplements OpenAI's own agent-building guidance by adding an explicit permission layer before model selection or tool connection begins.