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14 ChatGPT Work Features You Should Actually Use

A workflow-focused guide to 14 ChatGPT Work capabilities, including Projects, Deep Research, Company Knowledge, connected apps, Canvas, data analysis, and recurring tasks.

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ChatGPT Work is built for longer assignments that combine research, files, connected apps, analysis, or finished deliverables. These 14 features are a practical editorial selection—not an official OpenAI ranking—and access depends on your plan, workspace settings, role, platform, and permissions. Use them as parts of a workflow: Projects keep work organized, apps provide connected information or actions, and Company Knowledge helps answer questions about authorized organizational sources.

What is ChatGPT Work for?

OpenAI positions Work for research, analysis, connected-app and file workflows, and creating deliverables such as documents, spreadsheets, presentations, reports, and Sites. It is distinct from Chat, which is intended for quick questions, and Codex, which is oriented toward coding. Work is available only where your plan and workspace allow it; Enterprise and Edu access may also depend on workspace role settings and Enterprise Key Management. Check OpenAI’s Work and Codex documentation for current eligibility and surfaces.

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14 ChatGPT Work features for practical workflows

1. Use Work for a multi-step assignment

Start in Work when the outcome is more than a quick answer: for example, a researched briefing assembled from source material, an analysis that ends in a spreadsheet, or a presentation based on uploaded files. State the intended deliverable, audience, constraints, and what sources it should use. Review the finished artifact before sharing it; the ability to produce a document or report does not guarantee its accuracy.

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2. Keep ongoing work in a Project

A Project groups related chats, files, and instructions around a shared objective. Create one for a continuing assignment—such as a product launch or quarterly planning—and keep relevant context there so future chats can build on it. Projects can use connected apps where available; adding Google Drive to a Project does not sync its contents in advance, though ChatGPT can search for and access relevant files. Project features, sharing, and app access depend on plan and workspace settings. See OpenAI’s Projects documentation.

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3. Ask Deep Research for a sourced report

Use Deep Research when you need an answer developed from multiple sources rather than a quick response. Depending on access, it can work with uploaded files, the public web or selected sites, and eligible connected apps, then produce a documented report with citations or source links. Check the cited sources yourself, especially for decisions where recency, context, or exact wording matters. Availability varies by account and workspace; the Deep Research help page describes the current capability.

4. Ask Company Knowledge about internal information

Company Knowledge can answer organization-specific questions using supported sources made available to eligible workspace members. It is useful for queries such as locating an internal policy or finding what an approved source says about a project. Enabling the feature does not itself connect accounts, grant access, or bypass source permissions; authentication, administrator controls, and each user’s existing access still apply. Eligibility is described in OpenAI’s Company Knowledge documentation.

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5. Bring connected apps into a workflow

Apps can supply information inside ChatGPT, and available Project workflows can use connected apps. This makes them useful when an assignment depends on material held in an authorized service rather than only in the current chat or uploaded files. App availability and access depend on plan, workspace configuration, provider authorization, and your permissions. Keep the distinction clear: an app is a connection to information or actions; it is not a guarantee that ChatGPT can see every item in that service.

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6. Create a custom MCP app for a specific job

For a tailored workflow, custom apps built with MCP can provide search and, when configured, write or modify actions—for example, creating a task or updating a CRM record. Admins or owners control whether these apps are enabled or published, and write actions can require confirmation. Treat a custom app as an integration that needs review: validate what it can access and change, and use only approved apps. The setup and controls are covered in OpenAI’s developer mode and MCP apps documentation.

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7. Schedule a one-off or recurring task

Scheduled Tasks can proactively handle some work once or on a recurring schedule, where the feature is available. A recurring reminder or routine check is a better fit than repeatedly entering the same prompt by hand. Eligibility and current plan limits apply, so confirm the options exposed in your account. The capabilities overview describes Scheduled Tasks alongside other ChatGPT tools.

8. Share recurring work with a team

Business and Enterprise team tasks support shared recurring work using approved company tools. Authorized colleagues can review results and update instructions, subject to workspace permissions and configured connections. This is useful when a recurring process should not depend on one person’s private chat. OpenAI describes team-task updates in its Business release notes and Enterprise and Edu release notes.

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9. Use Voice to start or coordinate work

Voice is available in Work on web and mobile, according to OpenAI’s Work documentation and release notes. You can ask Work to create deliverables, use connected apps, or use a browser. If a Work task is still running when the call ends, it can continue in text, allowing you to move from spoken instructions to a written result. What you can use depends on plan and workspace access.

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10. Revise a draft in Canvas

Canvas provides an interactive space for co-writing, editing, and debugging. Use it to request a focused revision, inspect inline suggestions or markup, and work through changes in a draft; it also supports file uploads and code editing. Treat the result as a draft to evaluate, not a guarantee of correctness. Canvas and other tools are described in the ChatGPT capabilities overview.

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11. Analyze a spreadsheet with data analysis

ChatGPT can run code in a secure environment to analyze and visualize spreadsheets, CSVs, and other structured data. Useful requests include summarizing trends, cleaning data, or making a chart. Check the data, method, and interpretation before relying on a result—especially if it includes a projection, which is analysis to review rather than a guaranteed outcome.

12. Give a task its files

File uploads can provide source material for Work assignments and Deep Research. Attach the relevant documents or data, then specify what to extract, compare, or produce. File support and upload limits can vary; consult the current capabilities and Deep Research documentation rather than assuming a particular format or size limit. Uploads are most useful when the task clearly states which files are authoritative and how conflicting information should be handled.

13. Capture a meeting or voice note with Record

OpenAI’s Business release notes describe Record mode as a way to capture meetings, brainstorms, or voice notes, transcribe and summarize them, and generate follow-ups or plans. The cited release-note entry says it was available in the macOS desktop app and that admins can turn it off; current availability may differ, so check your workspace and the Business release notes. Review the transcript and proposed actions before treating them as an agreed record or assigning work.

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14. Continue cloud Work across devices

Cloud Work conversations sync across web, mobile, and desktop, and a Work chat can use Project context. That makes it possible to continue an assignment on another supported surface without treating every session as a new task. Desktop local work has separate conditions; the sync behavior does not mean all work runs locally or that every plan includes every surface. Check OpenAI’s Work and Codex documentation for the distinction.

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Which feature should you reach for?

Need Feature What it contributes
Research across sources Deep Research A documented report with citations or source links, using eligible source types.
Internal answers Company Knowledge Answers based on supported organizational sources the user is authorized to access.
Long-running assignment Projects A shared context for related chats, files, and instructions.
Information or actions in another service Connected apps or custom MCP apps Authorized data access; custom apps can also be configured for actions.
Draft refinement Canvas An interactive space for iterative writing, editing, or code changes.
Structured data Data analysis Code-assisted analysis and visualizations for supported files.
Recurring work Scheduled Tasks or team tasks One-off or recurring task handling, with team sharing available for supported Business and Enterprise workflows.
Meeting notes Record Capture, transcription, summaries, and possible follow-up items, where currently available.

What to check before relying on a Work feature

  • Plan and surface: feature access may vary by plan, platform, and region.
  • Workspace controls: administrator settings, role permissions, and available integrations can change what you can use.
  • Source authorization: connected apps and Company Knowledge operate within provider authentication and your existing access rights.
  • Action confirmation: custom integrations that write or modify information may require confirmation; review the requested change before approving.
  • Output review: verify cited material, analyses, transcripts, and generated deliverables before using them as authoritative.

OpenAI’s capabilities overview and feature-specific Help Center pages are the best place to check current behavior for your account.

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