Claude Dispatch Explained | What It Is and How It Works

Anthropic launched Claude Dispatch on March 17, 2026 as a research preview inside Claude Cowork. The pitch is simple: text your desktop AI from your phone and come back to finished work. That shift from sitting at your computer waiting to delegating from anywhere is more significant than it sounds.

This guide tells you exactly what Dispatch does, how it works, and whether it belongs in your workflow right now.

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Key Takeaways

• Launched March 17, 2026: Dispatch is a brand-new research preview inside Claude Cowork, not a standalone product.
• Your phone controls, your desktop executes: the mobile app is a walkie-talkie to your desktop Cowork session; all processing happens locally on your computer.
• Setup takes under two minutes: download Claude Desktop, open Cowork, click Dispatch, scan a QR code with your phone. Done.
• Your computer must stay on: if your laptop sleeps or the app closes, Dispatch stops; it is a remote control, not cloud computing.
• Available on Max now, Pro shortly: rolling out to Max subscribers first at $100 per month, with Pro at $20 per month following within days.

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What Claude Dispatch Actually Does (In Simple Terms)

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Dispatch is not a new AI model or a separate product. It is a feature inside Claude Cowork that adds one capability: you can now send tasks to your Cowork session from your phone and retrieve the results later without sitting at your desk.

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The underlying architecture is straightforward. Your desktop runs the AI. Your phone sends the instructions. One persistent conversation thread connects both devices across time and location.

• Shifts AI from synchronous to asynchronous: instead of watching Claude work in real time, you assign a task, go live your life, and return to finished work when it is ready.
• Works across devices through one persistent thread: the same conversation context lives on your desktop and your phone simultaneously; there are no sync issues, no duplicate sessions.
• Executes with full Cowork capability: Dispatch accesses everything Cowork already has access to, your local files, connected plugins, MCP connectors, and configured workflows, from your phone instruction.

The simplest way to think about it is a walkie-talkie to a Cowork session already running on your desktop. Your phone sends the message. Your Mac or PC does the work.

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How Claude Dispatch Works in Real Life

Understanding the actual architecture prevents the most common misconception: Dispatch is not a mobile AI agent. It is a remote interface for a desktop AI agent.

When you assign a task, Claude works on your desktop computer using the files, connectors, and plugins you have already set up in Cowork, and messages you the result when it is done.

• Desktop runs the actual tasks: reading files, running connected apps, executing code in the sandbox, and processing your instructions all happen on your computer, not in the cloud and not on your phone.
• Mobile acts as the control interface: the Claude mobile app sends your instructions to the desktop session and receives results back; the phone itself does no AI processing.
• Requires Claude Desktop plus internet: your computer must be awake, the Claude Desktop app must be open, and an internet connection must be active for the instruction to reach the desktop session and for results to return to your phone.
• Uses local files, tools, and integrations: every plugin, MCP connector, and workflow you have configured in Cowork is accessible through Dispatch; you do not need to reconfigure anything for remote access to work.

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A Simple Example So You Understand It Fast

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You are at dinner and remember you need a performance report ready for a 9 AM meeting. Before Dispatch, you would cut dinner short or scramble in the morning.

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With Dispatch, you pull out your phone, open the Claude app, and type: "Pull last quarter's sales data from the spreadsheet in my Projects folder and generate a formatted performance report." You put your phone in your pocket. By the time you get home, the report is on your desktop.

• Send task from phone on the commute: text Dispatch "summarize my top 10 unread emails and flag anything urgent" and the summary is waiting when you arrive at the office.
• Claude processes it on your desktop: the instruction travels to your desktop Cowork session, which reads your actual email connector, processes the content locally, and generates the output.
• You return later to finished work: no waiting, no watching a progress bar, no sitting in front of your computer while Claude works through a long task.

This is the practical shift Dispatch delivers. Tasks that previously required your active presence at a desk now run while you do other things.

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What You Can Actually Do With Claude Dispatch

Dispatch inherits everything Cowork can do. The difference is that you trigger it remotely rather than from the desktop interface.

• Generate reports from spreadsheets: instruct Dispatch to pull data from a specific file, process it, and produce a formatted report delivered to your desktop before you return to your computer.
• Search emails or Slack and summarize: with email and Slack connectors configured in Cowork, Dispatch can search, filter, and synthesize information from your actual communication tools on command from your phone.
• Create presentations from files: ask Dispatch to take project notes from a specific folder and structure them into a presentation outline; the output sits in your designated folder when you are back at your desk.
• Organize documents and workflows: file organization, renaming, sorting, and folder restructuring tasks that previously required sitting at your computer run as Dispatch instructions you send while commuting.

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When Claude Dispatch Makes Sense to Use

Dispatch adds the most value in specific workflow situations. Using it outside those situations produces frustration rather than productivity.

Async work is the core use case. Long tasks like report generation, research synthesis, and file processing do not require you to watch Claude work. Dispatch turns those tasks into something you trigger and retrieve rather than supervise.

• You are away from your computer: assigning tasks remotely while traveling, commuting, or between meetings is the scenario Dispatch was specifically designed for.
• Work involves multiple files and tools: tasks that require pulling data from email, documents, and connected services benefit most from Cowork's full local access triggered through Dispatch.
• Tasks take longer than a few minutes: short instant-answer queries are faster through regular Claude chat; Dispatch earns its value on tasks that take five minutes or more to complete.

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When Claude Dispatch Is Not a Good Fit

• Quick questions or instant answers: regular Claude chat on your phone is faster and simpler for questions that need immediate responses; Dispatch adds unnecessary overhead for anything that takes seconds to answer.
• Real-time collaboration needs: Dispatch is asynchronous by design; it does not support live editing, real-time team discussions, or tasks that require back-and-forth during execution.
• Unstructured files or workflows: Dispatch inherits Cowork's dependency on organized file systems; if your files are scattered and unlabeled, Dispatch produces inconsistent results because it cannot reliably find or interpret what it needs.

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Claude Dispatch vs Normal Claude (Important Difference)

The distinction between Dispatch and regular Claude chat is not about intelligence or capability. It is about interaction model and when the value appears.

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• Claude chat gives real-time answers: you prompt, Claude responds immediately; you read, take action, prompt again; the loop is fast and requires your active attention throughout.
• Claude Dispatch executes background tasks: you instruct, step away, return to results; the value is in the time you reclaim between instruction and output rather than the quality of the interaction itself.
• Dispatch is about doing work, not answering questions: the category shift is from AI as a responsive tool to AI as an autonomous worker operating within a defined scope while you do other things.

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What Most People Get Wrong About Claude Dispatch

The most common misunderstanding comes from the framing around "autonomous AI" that surrounds every new agent feature.

Dispatch is not an always-on AI employee. It does not replace your tools. It does not work without your computer being on. And it depends entirely on the quality of your existing file and workflow organization.

• It is not a fully autonomous AI: Dispatch executes tasks within the scope and permissions you have configured; it does not make independent decisions about what to work on or how to prioritize your work.
• It does not replace your tools or systems: Dispatch is a trigger mechanism for Cowork tasks; it does not replace your CRM, your project management tool, your email client, or any other system in your stack.
• It still depends on your setup and structure: the quality of Dispatch outputs is a direct function of how well your files are organized, how well your connectors are configured, and how clearly you define the task in your instruction.
• It is an assistant layer, not a full solution: think of it as making the assistant more reachable rather than making it more capable; the capability was already in Cowork, Dispatch just extends the control interface to your pocket.

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The Real Limitations You Should Know Before Trying

Your computer must be awake and the Claude Desktop app must be open for Claude to work on tasks. This is the constraint that shapes every Dispatch use case.

• Your computer must stay on: close the lid, lose the connection, or let the Claude Desktop app quit and Dispatch goes dark mid-task; plan workflows around this constraint before depending on it.
• Still early-stage with rough edges: early users report approximately 50/50 reliability on complex tasks in this research preview phase; do not build critical workflows around Dispatch before its reliability matures.
• Limited availability rolling out gradually: Max subscribers got access on March 17; Pro subscribers follow within days; the rollout is gradual and not every user has access on day one.
• One conversation thread only: there is no way to start a new thread or run multiple parallel Dispatch conversations; all messages live in a single persistent thread with no branching or multi-task separation currently available.
• No notifications when tasks complete: Dispatch does not alert your phone when work is finished; you check back rather than being told when to look.

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Security and Data Access (What You Should Be Careful About)

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Giving a mobile AI agent remote control of a desktop AI agent creates a chain where instructions from your phone can trigger real actions on your computer, including reading, moving, or deleting local files, interacting with connected services, and controlling your browser.

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This is the security consideration that Anthropic flags most clearly in its own documentation.

• Access to local files and systems: Dispatch can trigger any action Cowork has permission to perform; review what folders and connectors you have granted Cowork access to before enabling Dispatch for sensitive workflows.
• Prompt injection is a real risk: a manipulated instruction, a phishing link opened in your browser, or malicious content encountered during task execution can cascade into actions that are difficult or impossible to reverse.
• Permissions control what Claude can do: Anthropic advises connecting these agents only if you are comfortable with what they could do in a worst case, not just what you intend them to do in the expected case.
• Important for sensitive business data: financial records, personal information, and proprietary business data require deliberate permission scoping before you use Dispatch on workflows that involve them.

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Who Should Actually Use Claude Dispatch

• Founders handling operations and reports: executives and founders who need recurring outputs, daily summaries, and operational reports generated without dedicating desk time to each one benefit most from Dispatch's async model.
• Teams managing workflows and documents: knowledge workers processing large volumes of files, emails, and structured data regularly can use Dispatch to run those workflows during transition time between focused work sessions.
• Knowledge workers dealing with large data tasks: researchers, analysts, and operators processing significant information volumes get the clearest time savings from Dispatch's ability to run long tasks without requiring active supervision.
• Not ideal for casual or basic AI usage: users who primarily use Claude for quick questions, creative writing, and conversational interaction will not find Dispatch adds meaningful value to how they already work.

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Why Claude Dispatch Alone Is Not Enough for Most Businesses

Dispatch is a task execution layer. It works inside your existing workflows and tools. It does not organize, structure, or replace them.

For individual knowledge workers with well-organized file systems and established Cowork workflows, Dispatch is a genuine productivity multiplier.

For teams managing structured business operations, customer data, and multi-user workflows, Dispatch surfaces the limitation that no AI assistant layer can fix: the absence of proper underlying systems.

• Works inside workflows, does not replace them: Dispatch accelerates task execution within organized systems; it cannot create the structure, enforce data integrity, or manage multi-user access that business operations require.
• Needs structured systems underneath: teams that try to use Dispatch as a substitute for proper CRM, project management, or workflow tooling quickly discover that AI-generated outputs from unstructured data are inconsistent and require significant manual correction.
• Many teams realize they need full automation setup: the moment Dispatch surfaces a gap in your underlying system, the right answer is building that system properly rather than prompting around the gap with more specific instructions.

If your operations have outgrown manual tracking and spreadsheet-based workflows, the starting point is building the right AI-powered systems for your business rather than adding an async control layer on top of tools that are already struggling.

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Claude Dispatch vs Automation Tools and AI Agents

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• Dispatch vs Zapier and Make: Zapier and Make run always-on app-to-app automation without requiring your computer to stay open; Dispatch executes AI-driven tasks with local file access that Zapier and Make cannot replicate for unstructured knowledge work.
• Dispatch vs AI agents: custom AI agents built on a server architecture run 24/7 without depending on your laptop staying awake; Dispatch is more accessible but carries the always-on limitation that dedicated server-based agents do not have.
• Dispatch vs OpenClaw: OpenClaw achieves similar cross-device control but requires Node.js 22 plus, a WebSocket gateway, and extensive configuration; Dispatch accomplishes the same core capability with a two-minute QR code setup and no technical prerequisites.

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Where Claude Dispatch Fits in a Real Workflow

The most effective way to think about Dispatch is as a speed layer on top of workflows that already exist and work, not as a system-building tool.

• Layer on top of existing tools: Dispatch works best when your files are organized, your connectors are configured, and your recurring task patterns are already established in Cowork; it extends those workflows to your phone rather than creating new ones.
• Helps execute tasks faster, not organize systems: the value is in reclaiming the time you previously spent sitting at a desk supervising long tasks, not in replacing the organizational structure those tasks require underneath.
• Works best with structured workflows: users who get the most from Dispatch have already built the file organization, connector setup, and task patterns that make Cowork reliable; Dispatch makes those reliable workflows mobile.
• Adds speed, not structure: if your underlying workflow needs structure, Dispatch will surface that need faster rather than solve it; address the structure first.

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Should You Actually Use Claude Dispatch?

If you are a Max or Pro subscriber already using Cowork regularly, try Dispatch this week. The setup takes two minutes and the first time you send a task from your phone and return to finished work on your desktop, the value is immediately obvious.

If you have not set up Cowork yet or your files are not organized for AI task execution, start there before adding Dispatch on top. The async control layer is only useful when what it controls is already working reliably.

The honest recommendation: Dispatch is worth using for heavy knowledge workers with established Cowork workflows. It is not worth prioritizing over building the underlying structure that makes any AI task execution reliable.

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What Is Next for Claude Dispatch (Short, Grounded View)

The direction is clear even in the early research preview. Anthropic built Cowork in ten days and shipped Dispatch six weeks later. That pace signals where the product is going.

• Moving toward always-on AI workers: the current desktop-must-be-on limitation is the obvious next thing to solve; cloud-based execution that does not depend on your laptop staying awake is the logical next step.
• Better automation and integrations expected: the connector library, notification system, and multi-thread management are all early-stage; each will mature significantly as Anthropic gathers real usage data from the research preview.
• Still early stage, not fully mature: 50 percent reliability on complex tasks is the current reality for many users; plan accordingly and validate outputs before acting on them for anything that matters.
• Likely to evolve into deeper workflow systems: the trajectory points toward Dispatch becoming a persistent, always-available AI worker rather than a remote control for a desktop session that depends on hardware staying on.

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Conclusion

Claude Dispatch represents a genuine shift in how AI assistance works. The move from real-time chat to asynchronous task execution changes the relationship between you and the AI from active supervision to delegation and retrieval.

It is not a complete solution, not always-on yet, and not a substitute for proper workflow systems. It is a well-executed first version of something that will become significantly more capable as the research preview matures.

Use it as an execution layer on top of structured workflows. Build proper systems for operations that need them. Think of Dispatch as a fast, accessible addition to your existing setup, not a replacement for what sits underneath it.

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Want to Build Proper AI-Powered Systems for Your Business?

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• Architecture before any build decision: we map your workflow requirements, data structures, and team needs before recommending any platform or building anything.
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