Start with a task contract
A usable computer-use workflow begins before the model sees a screen. Define the target account, requested outcome, permitted actions, available files, and stop conditions. For an invoice export, that might mean one supplier account, a specific month, read-only navigation, and an output PDF whose identity can be checked.
OpenAI’s current documentation includes runtime-controlled computer-use integrations, while Anthropic and Google describe returning interface observations after actions. The common concept is a loop, but the message format and supported action surface vary. Keep provider-specific handling behind an explicit adapter instead of assuming every tool call has the same semantics.
Observe, propose, execute, inspect
An observation may include a screenshot or structured page information. The model proposes the next action. Your application checks whether that action fits the task boundary, then the controller executes it. The next observation should describe the state after the action, not a stale image captured before navigation completed.
A useful executor returns both what it attempted and what it observed. If a click did not open the expected panel, the agent needs that fact. Avoid representing a low-level successful click as a high-level successful export. Each abstraction should have its own completion condition.
Separate progress from completion
Progress is reaching the report page, choosing a period, or beginning a download. Completion is obtaining the correct artifact and checking the required fields. An agent can make sensible progress and still fail the task. Code should validate identifiers, expected formats, and output location wherever those rules can be expressed directly.
When a run is interrupted, store a checkpoint that distinguishes prepared actions from committed actions. A retry after a download may be harmless; a retry after submitting a new record may create a duplicate. Recovery logic needs knowledge of the operation, not just a generic retry count.
Operate a bounded loop
Set a step budget, elapsed-time budget, and spend budget. Include an operator cancellation path and a limit on repeated identical actions. A model that keeps refreshing the same page is using resources without establishing progress. Send unresolved state to a review queue with a concise explanation and the last safe checkpoint.
Our editorial recommendation is to pilot with traceable synthetic tasks before real account access. Inspect failures as carefully as successful demonstrations. The finished system includes identity, environment management, policy enforcement, job orchestration, and validation; the model is an important component within that larger operating loop.