A Working Model of Grok Build's Control Loop

At this point, Grok Build can be understood as a chain of ownership rather than a pile of features. This checkpoint connects the client, session, model, typed tool layer, workspace, and feedback that have already been established, then turns that connection into a practical diagnostic model. The useful judgment is simple: when a request behaves unexpectedly, identify the boundary where its state changed before deciding that the model, the tool, or the product as a whole is at fault.

A single request has a chain of custody

Consider a representative request: a user asks Grok Build to inspect a failing test, explain the likely cause, and make a narrowly defined correction. The request begins at a client surface, but the client is not yet the owner of the work. The agent routes it to a session. The session admits it immediately or places it in its queue, attaches the conversation and workspace context, and starts a model turn. The model then decides whether it needs to read files, search, run a command, or edit something.

Each transition changes what counts as evidence. Before the model chooses a tool, the relevant evidence is the session's prompt, current context, and available capability definitions. Once the model chooses a tool, the relevant evidence includes the tool schema, its required resources, and the call identity. Once WorkspaceOps mediates the call, the relevant evidence includes the actual working directory, filesystem or terminal result, and any notifications emitted during execution. After the tool returns, the session must connect that result to the next model step and to what the client displays.

flowchart LR REQUEST["Client request"] --> SESSION["Session state and queue"] SESSION --> DECISION["Model decision"] DECISION --> CONTRACT["Typed tool contract"] CONTRACT --> EFFECT["Workspace effect"] EFFECT --> QUESTION["Policy / containment question"] QUESTION --> RESULT["Observable result"] RESULT --> CORRECTION["Next-turn correction"] CORRECTION --> SESSION

The model decision is therefore not the same thing as the workspace effect. A request to “fix the test” might lead to a read operation first, then a terminal command, then an edit. The registry determines which of those operations are exposed and what each one requires. ToolBridge turns the chosen operation into a call with shared resources. WorkspaceOps provides the host context in which the call is evaluated and executed. A result can be successful at one boundary and still raise a question at another: a command may exit successfully but produce no useful evidence; an edit may be applied exactly but to a path the user did not intend.

Ownership also explains why the chain can be observed without being duplicated. The client does not need to recreate the registry to show a tool card. The session does not need to duplicate the terminal implementation to track a task. The tool does not need to decide how every client renders its output.