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Kick off long-running computer tasks from the Claude mobile app | Claude

Claude Use Cases · April 16, 2026
Claude's Dispatch feature allows users to initiate long-running computer tasks from their mobile app and monitor progress remotely, while maintaining a persistent conversation that tracks all previous instructions and files processed. The computer must remain awake during task execution, and users can check in asynchronously to review results and send follow-up instructions without returning to their desk. Tasks can be configured as recurring scheduled jobs that automatically process new batches on a set cadence.

Detailed Analysis

Anthropic's Dispatch feature, accessible through the Claude mobile and desktop apps, enables users to initiate long-running computational tasks from a mobile device and have those tasks executed autonomously on a paired desktop computer. The feature maintains a persistent conversation thread between the two devices, allowing Claude to process batches of files — such as extracting structured data from dozens of PDF invoices into a CSV spreadsheet — over the course of minutes without requiring the user to remain present at their computer. Upon completion, Claude delivers a detailed summary of its work, including flagged anomalies such as handwritten values, multi-invoice documents, or draft files, demonstrating a capacity for contextual judgment rather than rote execution. The only hard infrastructure requirement is that the desktop machine remain powered on and awake, a condition managed through a dedicated keep-awake toggle in Dispatch settings.

The practical architecture of Dispatch positions it as a form of asynchronous human-AI collaboration, where the division of labor is defined not by the type of task but by its temporal demands. Users set tasks in motion before leaving their desks, attend to other responsibilities, and return — via mobile — to review outputs, ask follow-up questions, or issue the next instruction in a longer workflow. Because Claude retains full context of every file it touched and every result it produced within a given conversation, downstream instructions such as comparing vendor totals against a budget forecast or generating a summary PDF require no re-description of prior work. This persistent memory across a session constitutes a meaningful departure from stateless, single-turn AI interactions and moves the product closer to a model of delegated knowledge work.

Dispatch also introduces a scheduling layer that transforms one-off batch jobs into recurring automated routines. A prompt that successfully processes a folder of monthly invoices can be saved and configured to run on a fixed cadence — the first of each month, for instance — with Claude operating on newly available files each time without further human prompting. This capacity bridges the gap between ad-hoc AI assistance and workflow automation, a space historically occupied by scripting tools, robotic process automation platforms, and enterprise orchestration software. The addition of optional connectors for Gmail and Slack further extends the automation chain, enabling Claude to distribute outputs without manual intervention.

The broader significance of Dispatch lies in its reflection of a wider industry shift toward agentic AI systems capable of sustained, multi-step task execution in real-world computing environments. Computer use capabilities — wherein AI models directly interact with files, browsers, and desktop applications — have emerged as a central frontier for Anthropic and its competitors, with the underlying premise that AI value increases substantially when models can act rather than merely advise. Dispatch operationalizes this premise at the consumer level, lowering the technical barrier to autonomous task delegation by embedding it within a familiar mobile interface. The requirement for a paid Claude account signals that Anthropic is positioning agentic compute as a premium capability, consistent with industry-wide efforts to monetize AI functionality that extends beyond conversational assistance into durable, productive work output.

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