The first design decision in building AgentGrid is product-level, not technical: it should be treated as a control plane. If AI-powered work is important to the platform, the orchestration layer should be visible, understandable, and central to the user experience.
A control plane is where users define what can run, inspect what is running, decide what needs approval, and understand what happened after execution. That is different from a background feature that quietly triggers automation behind another module.
AgentGrid coordinates several concepts that need to feel connected: workflow definitions, workflow runs, agents, tools, approval gates, execution jobs, managed workers, schedules, templates, retries, cancellations, and run logs.
Those concepts are technical underneath, but the product idea is straightforward. AI should not only generate text. It should execute structured business workflows with visibility, approvals, retries, and auditability.
That means AgentGrid has to be both user-facing and operational. Users need screens for workflows, agents, tools, templates, approvals, live status, and run history. The backend needs durable records, execution jobs, state transitions, and worker coordination.
The system should separate orchestration from direct execution. The app and API runtime create records, validate requests, expose state, and dispatch work. Managed workers perform long-running execution and update persisted state.
This separation gives the product a clear operating model. The user action creates a workflow run and execution job. The worker executes steps. The UI reads run, step, approval, and log records. The control plane remains responsive while the work proceeds.
The strategic value is that AgentGrid turns a collection of business tools into an execution platform. CRM, CMS, support, tasks, analytics, and integrations become more useful when governed workflows can coordinate them.
A good test for the design is whether a user can answer the basic operating questions: what workflows exist, what is running, what needs approval, what failed, what completed, what tools are available, what agents can act, and what can happen next.