ChatGPT Record & Replay: How to Turn a Workflow Into a Reusable Skill

ChatGPT Record & Replay gives eligible Mac users a different way to teach ChatGPT or Codex a repetitive workflow: instead of writing every step in a long prompt, you can demonstrate the process once and turn that demonstration into a reusable skill.

The important word is reusable. You are not simply creating a video of yourself clicking around. After the recording ends, ChatGPT or Codex analyzes the demonstrated process and drafts a skill describing when the workflow should be used, which inputs can change, which steps matter, and how the result should be checked.

What Is ChatGPT Record & Replay?

ChatGPT Record & Replay is a workflow-learning feature that lets you show ChatGPT or Codex how you complete a task on your Mac and convert that demonstration into a reusable skill.

It is designed for tasks that have a recognizable pattern. The values may change each time—such as a filename, date range, report, project name or form entry—but the underlying process remains similar.

OpenAI’s current documentation gives examples such as filing an expense, booking a parking space, creating a correctly configured issue, publishing a video and downloading a recurring report.

If you are new to OpenAI’s newer work-focused experience, our ChatGPT Work guide explains how Work differs from an ordinary ChatGPT conversation and where longer multi-step workflows fit.

What Do You Need to Use ChatGPT Record & Replay?

The feature is not currently a universal button that appears in every ChatGPT account or on every device. As of August 25, 2026, OpenAI lists several requirements.

Availability can also depend on workspace policies. A managed organization may disable Computer Use, which can also prevent Record & Replay from appearing.

How ChatGPT Record & Replay Works

The easiest mental model is demonstrate → extract the pattern → reuse the pattern.

1. You demonstrate the real workflow

Instead of explaining a process from memory, you perform the task. ChatGPT or Codex observes the actions and relevant window content while the recording is active.

This can be especially useful when a procedure contains small details that are tedious to explain, such as which menu you normally use, how you name something, which fields you complete, or the order in which you check information.

2. ChatGPT or Codex drafts a reusable skill

When you stop recording, the system analyzes the captured workflow and drafts a skill. The generated skill can include when the workflow applies, the inputs it needs, the steps involved and how the final result should be verified.

This is why ChatGPT Record & Replay is more useful than treating the feature as a simple screen recorder.

3. You refine anything the demonstration did not make obvious

A visual demonstration cannot always reveal why you made a decision. If you always choose a particular naming convention, avoid a certain field, stop when a condition appears, or require final approval before submitting something, add that logic to the skill after recording.

4. You reuse the skill with new values

Later, start a new ChatGPT or Codex conversation, ask it to use the generated skill and provide whatever changed this time—for example, a different report, date range, project, file or issue.

The skill can then work with capabilities available in that environment, including Computer Use, browser actions and installed plugins.

How to Use ChatGPT Record & Replay Step by Step

The current OpenAI workflow is straightforward, but the quality of the reusable skill depends heavily on what you demonstrate.

If your workflow relies on external services, remember that connection does not mean unlimited access. Our ChatGPT Plugins guide explains how current plugins, skills and connected apps fit together.

The Designs24hr RECORD Test: Should You Record This Workflow?

Not every repetitive task deserves automation. Before starting ChatGPT Record & Replay, use the RECORD Test to decide whether the workflow is a good candidate.

Five or six yes answers: strong candidate.

Three or four yes answers: record only after simplifying the workflow or defining clearer rules.

Zero to two yes answers: a normal prompt, checklist, template, scheduled task or manual process may be a better fit.

Good Tasks for ChatGPT Record & Replay

The strongest ChatGPT Record & Replay use cases usually combine repetition with small changing inputs.

A connected-file workflow can also benefit from a clear verification method. See our guide to using Google Drive in ChatGPT for a practical example of separating file access from safe editing and verification.

Workflows You Should Not Record

The ability to demonstrate a workflow does not mean it is wise to record it.

• Password-entry routines. Avoid demonstrations that require exposing passwords, recovery codes, authentication secrets or private keys.
• Highly sensitive financial workflows. Do not casually record processes containing banking credentials, payment secrets or restricted financial records.
• Unnecessary customer or client data. Remove or substitute sensitive information whenever the real data is not required to teach the process.
• Processes that change every time. If every run requires a different strategy, the recording may capture an example rather than a reusable method.
• High-stakes judgment calls. A workflow that requires substantial legal, medical, financial, security or personnel judgment should not be reduced to an unreviewed automation.
• Irreversible actions without review. Be cautious with deleting, publishing, sending, approving, purchasing or submitting anything that cannot easily be reversed.
• Workflows you do not yet understand. Record & Replay should package a known process, not become a substitute for learning the process first.

Who Could Use Record & Replay at Work?

The strongest use cases are not limited to developers. ChatGPT Record & Replay can be useful wherever a computer-based process repeats frequently enough to justify packaging the method.

Administrative professionals

Recurring portals, internal forms, standard reporting and routine system updates are natural candidates when the process is predictable and the final result can be checked quickly.

Operations teams

Operations work often includes procedures that cross several systems. A demonstrated workflow can capture small details that are easily forgotten in a written instruction, but teams should still preserve approval checkpoints for consequential changes.

Project managers

Recurring project setup, reporting and status-update workflows can be useful candidates when field rules and naming conventions remain stable.

Marketing professionals

Content administration, exports, recurring campaign setup and standardized publishing preparation may fit—especially when final publishing or spend decisions remain under human control.

Small-business owners

A business owner may find value in automating repetitive back-office work that is too specific for a generic template but too predictable to justify rebuilding the instructions every week.

For email-related automation, use stricter review boundaries. Our AI Email Assistant Checklist covers permission, privacy and send-control questions worth checking before giving AI broader inbox access.

ChatGPT Record & Replay vs Prompts vs Scheduled Tasks vs Macros

ChatGPT Record & Replay overlaps with several automation methods, but each solves a different problem.

OpenAI specifically recommends considering a separate plugin when you need to distribute a stable package across a team, combine several skills, add connectors or MCP servers, or manage installation metadata.

Is ChatGPT Record & Replay Private?

You should not treat ChatGPT Record & Replay as an invisible or purely mechanical recorder.

OpenAI says that while recording, ChatGPT or Codex observes the actions and window content needed to learn the workflow. That is why preparation before recording matters.

What should you close before recording?

• Personal messages unrelated to the workflow.
• Documents containing unnecessary confidential information.
• Password managers and authentication screens.
• Private financial or health information not required for the task.
• Client or employer material that you are not authorized to process with AI.
• Browser tabs that could expose unrelated sensitive information.

How do ChatGPT data controls apply?

OpenAI says ChatGPT training data controls apply to content processed through Codex, including screenshots taken through Computer Use. The exact treatment of data also depends on your plan and workspace settings.

For workplace use, do not make decisions based only on your personal preference. Your employer may have separate rules covering confidential documents, customer records, approved AI services and automated actions.

Local workflow does not mean “nothing leaves the device”

OpenAI distinguishes between local workflows that run on the device and cloud tasks that run in OpenAI-managed environments. Avoid simplifying that distinction into claims such as “Record & Replay is completely local” or “the recording never leaves your Mac.”

Pre-Recording Privacy Checklist

• I know exactly which workflow I am about to demonstrate.
• I have closed unrelated applications, documents and browser tabs.
• No passwords, recovery codes or authentication secrets are visible.
• I have removed unnecessary personal, client or company-sensitive information.
• The workflow is permitted by my employer or organization.
• I know which action marks the end of the demonstration.
• I can verify the final result before relying on the skill later.

How to Replay a Recorded Skill

Once the generated skill looks correct, you do not need to recreate the original demonstration every time.

Open a new ChatGPT or Codex conversation and ask it to use the generated skill. Then provide the values that changed for the new run.

For example, the original demonstration might have downloaded a July report. The next run may use the same skill but specify an August date range and a different filename.

Use my saved [SKILL NAME] skill for this task.

Inputs for this run:
- Source or item: [INSERT]
- Date or range: [INSERT]
- Output name: [INSERT]
- Any special constraint: [INSERT]

Before any irreversible action, stop and show me what will happen.
After completing the workflow, tell me what you changed and what I should verify.

Refine the skill after the first test

The first generated version may capture what you did without fully understanding why you did it. Use the first replay as a test rather than treating the skill as finished.

Review the skill created from my recording.

Improve it by separating:
1. steps that must always happen,
2. inputs that can change,
3. preferences that should remain consistent,
4. decision points that require judgment,
5. actions that require my approval,
6. checks that confirm the workflow succeeded.

Do not add steps that were not demonstrated or explicitly approved by me.

Add a verification rule

A reusable workflow is much safer when success is defined explicitly.

Before treating this workflow as complete, verify:
- the correct source was used,
- names and dates match my inputs,
- no unrelated item was changed,
- the intended output exists,
- any external action actually succeeded.

If you cannot verify one of these points, tell me exactly what remains uncertain instead of assuming success.

Common Record & Replay Mistakes

Recording a messy demonstration

If you open the wrong page, backtrack repeatedly, test several options and continue into unrelated cleanup, the generated skill has a harder example to learn from.

Better: rehearse the workflow once, then record a short clean version.

Using sensitive real data when sample data would work

A skill often needs the workflow pattern—not your actual confidential information.

Better: use representative but non-sensitive inputs whenever the real values are not necessary.

Assuming the generated skill understands hidden judgment

The recording may show that you selected option B without showing the reason.

Better: add the decision rule explicitly after recording.

Skipping the first replay test

A generated skill can look sensible while relying on details specific to the original example.

Better: replay it with different inputs before depending on it for important work.

Automating the final action too quickly

The risky part of many workflows is not preparing the result—it is sending, publishing, approving, deleting or submitting it.

Better: keep a human approval checkpoint before consequential external actions until you have verified the workflow repeatedly.

Should You Use ChatGPT Record & Replay?

Why Don’t I See ChatGPT Record & Replay?

If ChatGPT Record & Replay is missing, check eligibility before repeatedly reinstalling the app or changing random settings.

1. Check your operating system

OpenAI currently documents Record & Replay for macOS. If you are using Windows, do not expect the current Mac instructions to match your interface.

2. Make sure you are in the desktop experience

The current setup begins in the ChatGPT desktop app rather than an ordinary browser-only workflow.

3. Check Computer Use

Record & Replay depends on Computer Use. If Computer Use is unavailable or disabled, the recording feature may also be unavailable.

4. Check your region

The initial rollout excludes the European Union, United Kingdom and Switzerland.

5. Check managed-workspace restrictions

Organizations can restrict capabilities. OpenAI’s technical documentation notes that managed configuration can disable Computer Use, which also affects Record & Replay.

6. Make sure you are looking in the right place

The current path is through ChatGPT with Work enabled or Codex in the desktop app, then Plugins → + → Record a skill.

If other plugin-related controls are also missing, use our ChatGPT Plugins Not Showing troubleshooting guide to check account, workspace, role, region and app-access problems systematically.

Is Record & Replay Better Than Writing a Prompt?

Not automatically.

A well-written prompt is often faster for simple or one-off tasks. ChatGPT Record & Replay becomes more attractive when a workflow contains enough repeated visual steps that documenting the process manually would be tedious.

A useful rule is:

This avoids a common productivity trap: spending more time building an automation than the automation will ever save.

Frequently Asked Questions

Bottom Line

ChatGPT Record & Replay solves a specific productivity problem: some computer workflows are repetitive enough to reuse but annoying enough to document manually.

When the process is stable, safe to demonstrate and easy to verify, showing the workflow once can be a practical way to create reusable instructions for future runs.

But the strongest workflow is not the one with the most automation. It is the one that preserves the right human checkpoints.

Use the RECORD Test before recording, remove unnecessary sensitive information, review the generated skill, test it with different inputs and keep approval in the loop for consequential actions.

If you want to explore more practical ways to reduce repetitive work, browse the AI for Work & Productivity guides.