Last updated: July 11, 2026
Last verified: July 11, 2026
TL;DR: OpenAI launched ChatGPT Work on July 9 as the part of ChatGPT designed for longer, multi-step assignments. It can gather context from files and connected tools, plan the work, take approved actions, and return editable documents, spreadsheets, presentations, reports, or Sites. Work is available in the updated desktop app on every ChatGPT plan; its web and mobile rollout is limited to paid plans and is still reaching eligible accounts. It does not have a separate subscription price: OpenAI says Work and Codex share pricing, credits, and usage limits.
What OpenAI launched
ChatGPT Work is an agent inside ChatGPT, not a renamed chat model or a stand-alone business product. The practical distinction is the expected outcome. Chat remains the place for a question, explanation, brainstorm, or short draft. Work is for a task with a defined result: research a subject, reconcile several sources, prepare a decision document, build a deck, refresh a spreadsheet, or maintain an ongoing workflow.
OpenAI’s July 9 launch announcement describes Work as a way to move from scattered context to finished material while the user can follow progress, answer questions, change direction, and approve important actions. The accompanying getting-started guide draws a useful boundary: use Work when the assignment involves several sources or steps and produces something you will review, edit, or reuse.
The launch also brings the technology behind Codex into a general-work surface. Codex remains the dedicated experience for software development and technical work. Work applies the same agentic foundation to research, operations, finance, sales, marketing, and other jobs where the result is usually a business artifact rather than a code change.
How ChatGPT Work operates
A well-scoped Work task has four parts. First, the user states the outcome and supplies or points to the relevant sources. Second, Work can outline an approach and surface missing information before it begins. Third, it uses available tools, files, and connected services to complete the steps. Finally, it returns a reviewable result and exposes progress so the user can intervene.
That sequence matters because an agent that can act across systems needs more than a polished final answer. Teams should specify which sources are authoritative, what the output must contain, which actions require approval, and where the agent should stop. OpenAI’s guidance explicitly recommends naming constraints and asking for a draft before ChatGPT sends, publishes, or changes information that other people rely on.
The official launch demonstration below shows Work combining account material and a connected Slack channel, then adding an executive-ready slide to an existing presentation. It is an OpenAI product example, not evidence that the fictional company or figures shown are a real customer result.
Finished files are the central promise
Work can create or edit documents, spreadsheets, presentations, reports, and analyses from instructions, attached source material, or an existing template. OpenAI also positions Sites as an output for interactive dashboards, trackers, calendars, prototypes, and reports. That is a meaningful change from copying text out of a chat window: the deliverable is meant to be opened, checked, revised, and used.
The format details still matter. OpenAI’s file-creation documentation says availability depends on the plan, workspace settings, file type, and surface. Native Google Docs, Sheets, and Slides require the relevant Google Workspace app. Microsoft Excel is supported in the desktop flow through the ChatGPT for Excel add-in, while PowerPoint is not included in that Work desktop flow at launch. Buyers should confirm the exact file path they need rather than assuming every office format behaves the same way.
Plugins supply context and actions
Plugins are the connection layer between Work and external systems. OpenAI’s plugin documentation says a plugin may bundle reusable instructions, an app backed by MCP tools, or both. The directory includes connections for services such as Google Drive, Gmail, Slack, SharePoint, Salesforce, Outlook, Teams, GitHub, and project trackers. A user can name a plugin with an @ mention or let ChatGPT select an installed capability from the request.
This is useful, but it is also where access control becomes concrete. A plugin uses the connected service’s own authentication and permissions. Installing a connector does not give Work unrestricted access to everything in that service. Workspace policy, the user’s source-system permissions, the available actions, and approval settings still determine what can be read or changed.
For a team evaluation, start with a read-heavy task and a narrow set of sources. Confirm that Work retrieves the expected material, cites or identifies the evidence it used, and asks before a consequential write. Expand permissions only after that behavior is predictable.
Scheduled Tasks turn a result into a workflow
Work is not limited to a single interactive run. Scheduled Tasks can run once, repeat on a schedule, respond to an event, or monitor for changes. OpenAI’s examples include refreshing a meeting agenda from new messages, reviewing dashboards each morning, monitoring customer feedback, and updating a presentation when new information arrives.
A recurring agent deserves stricter operating rules than an occasional prompt. The schedule, source set, destination, approval behavior, and stopping condition should all be explicit. On the desktop app, a task that needs local projects also depends on the host computer remaining on, the app running, and the project still being available. Unattended tasks use the configured sandbox and permission model, so broad file or network access increases the impact of a poor instruction.
Practical use cases worth testing
Executive and account reviews. Give Work a defined folder, a meeting template, and selected CRM or communication context. Ask it to identify changes, open decisions, risks, and owners, then draft a presentation for review. The evaluation is whether it preserves the template and connects every important claim to the supplied evidence.
Procurement or vendor comparison. Supply proposals, requirements, and an evaluation rubric. Work can organize the options in a spreadsheet, flag missing data, score only the criteria you authorize, and prepare a summary. A human should still validate calculations, contractual terms, and any recommendation.
Recurring operations reporting. Connect a narrow set of systems and schedule a weekly draft that highlights changed metrics, unresolved blockers, and decisions due. This is a better first automation than an open-ended instruction to “manage the project” because the inputs, cadence, output, and review point are observable.
Research-to-deliverable work. Work can gather information from approved sources, separate findings from recommendations, and turn the result into a memo, deck, or Site. The key test is traceability: the finished artifact should make it easy to distinguish sourced facts, calculations, and the model’s judgment.
Availability and pricing
ChatGPT Work does not have its own subscription. OpenAI says Work and Codex share included usage, credits, and limits. The company launched Work in the updated ChatGPT desktop app for Mac and Windows on every plan, including Free. On web and mobile, Work is rolling out to paid plans other than Free and Go; account access can also depend on region, workspace policy, and administrator settings.
The public pricing page listed the following base prices when this article was verified. These are ChatGPT/Codex plan prices, not per-task prices for Work. Usage consumption varies with the model, context, reasoning, retrieval, tool calls, and length of the task, so two assignments with similar prompts can consume different amounts.
| Plan | Listed base price | Work access at launch |
|---|---|---|
| Free | $0 per month | Desktop; not included in the web/mobile rollout |
| Go | $8 per month | Desktop; not included in the web/mobile rollout |
| Plus | $20 per month | Desktop, with web/mobile rolling out |
| Pro | From $100 per month | Desktop, web, and mobile for eligible accounts |
| Business | $20 per user per month billed annually, or $25 billed monthly | Desktop, with web/mobile rolling out |
| Enterprise and Edu | Contact sales | Desktop, web, and mobile subject to admin controls |
Free access therefore exists on desktop, but it should not be read as unlimited use. Paid users can buy additional credits when eligible, and organizations can apply workspace spend controls. Anyone budgeting for production use should measure a representative task on the intended model and surface instead of estimating cost from prompt count alone.
The main risks are operational, not cosmetic
Rollout ambiguity. A plan may be eligible while the feature is still absent from a particular account or surface. Confirm access in the actual workspace and device before scheduling training or a migration.
Permission sprawl. Cross-app work is valuable because it can reach the systems where information lives. The same reach can expose or change more than intended if connectors, actions, and approval settings are too broad. Use least-privilege connections and test with non-sensitive material first.
Confident but unsupported output. A polished deck or spreadsheet can make weak evidence look final. Require source boundaries, ask Work to flag missing information, inspect formulas and citations, and keep human approval for external publication, financial decisions, customer communication, or changes to systems of record.
Variable usage. Long-running tasks with many files and tool calls use more capacity than short, well-bounded assignments. Separate required work from optional polish, limit the source set, and stop a run that is exploring beyond the decision you need.
Format and surface gaps. A workflow that works in Google Sheets may not map directly to Excel or PowerPoint. Verify the final file type, editing path, and export behavior before standardizing a process around it.
A sensible first evaluation
- Choose a task your team already understands and can score.
- Provide a small, authoritative source set and a real output template.
- Define the audience, required sections, evidence standard, and stopping point.
- Keep external writes and sharing behind an approval step.
- Review factual accuracy, file quality, time saved, and credit use.
- Repeat the same task before expanding to a recurring or higher-permission workflow.
ChatGPT Work is most compelling when the bottleneck is assembling context and producing a usable artifact, not when a quick answer would do. The launch closes some distance between asking an AI for help and delegating a bounded assignment. Whether that is valuable depends on the quality of the inputs, the clarity of the finish line, and the discipline of the review process.
FAQ
Is ChatGPT Work a separate app?
No. Work is an experience inside ChatGPT on supported web, mobile, and desktop surfaces. The updated desktop app also includes Chat and Codex.
Is ChatGPT Work free?
OpenAI says Work is available in the desktop app on every plan, including Free. Free and Go are not part of the initial web/mobile rollout. Included usage and limits follow the shared Work and Codex pricing structure.
What can ChatGPT Work create?
Official documentation lists documents, spreadsheets, presentations, reports, analyses, and Sites. Exact file support depends on the plan, connected apps, workspace settings, and surface.
What is the difference between Work and Codex?
Work is oriented toward research and general business deliverables. Codex remains the dedicated software-development agent. They share core agent technology and the same usage structure.
Official sources
- OpenAI’s ChatGPT Work launch page
- Get started with ChatGPT Work
- Work and Codex pricing and usage
- OpenAI plugin documentation
- OpenAI Scheduled Tasks documentation
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