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ChatGPT Now Has Chat and Work, So Where Does Office Work Go?

ChatGPT now has two modes, Chat and Work. What the difference is, which office tasks fit each one, and what to watch for with usage and access.

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An office worker at a desk in the late afternoon, holding a phone in one hand and writing in a notebook with the other, with a stack of documents and a coffee cup beside her

If you've opened ChatGPT lately, there are two options at the top: Chat and Work. On teams, the question that keeps coming up is simple but confusing: "Where should this go?" I use both every day, and after a few months the pattern is fairly clear.

The difference in one sentence

According to OpenAI's help page on Work and Codex, Chat is for fast, conversational help and everyday questions, while Work is an agent for longer, multi-step work that ends in finished deliverables. Codex stays dedicated to software work.

Work itself was introduced on July 9, 2026. In the ChatGPT release notes, OpenAI says it can research and analyze information, work across connected apps and files, and create documents, spreadsheets, presentations, reports and Sites. You can follow its progress, answer its questions, change direction and approve important actions while it works.

Where office work goes

This is the split I use, put together from OpenAI's guidance and my own experience:

NeedUseWhy
Quick questions, looking things up, brainstormingChatYou want an answer, not a finished file
Drafting a short reply or emailChatDone in one or two messages
Research and analysis across several filesWorkThe work has steps and needs checking
Making a finished document, spreadsheet, deck or reportWorkThe result is a file, not just text
Recurring tasks or watching for changesWorkIt can run as a Scheduled Task
Writing or fixing codeCodexThe dedicated software mode

The easy rule: if you need an answer, use Chat. If you need finished work, use Work.

A desk with a few neatly printed report pages, a chart on the top page, a pen, and a phone lying face down beside them
Work fits jobs that end in a finished deliverable, like a report or a spreadsheet.

Examples from everyday work

The models are different too

OpenAI's help page lists GPT-6.1 Sol, GPT-6 Sol and GPT-6 Luna as the models for Work and Codex. Meanwhile, since October 7, 2026, Chat runs GPT-6 with Intelligent UI, which can mix text, visuals and interactive elements like calculators into an answer. According to the same release notes, the models powering Work and Codex didn't change with that update.

For everyday users, there's no need to memorize the models. What matters is that Chat and Work are built for different kinds of work, so it's normal for their results and speed to differ.

What to watch for

  1. Usage is separate. Work follows the same usage structure as Codex, and how much it uses depends on the task. Heavy tasks use up the allowance faster, so don't open Work for a question Chat can answer.
  2. Not every plan gets Work. At launch, Work was available on paid plans except Free and Go.
  3. In a company workspace, admins decide. Workspace owners and admins can control Work access by role. Chat stays available in every configuration.
  4. Important actions still need your approval. If Work wants to send an email or change something in a connected app, you approve it. It's the same principle I discussed in At What Point Should Humans Still Check AI and Automation Results.
  5. The data you bring is still your responsibility. Work can read the files and apps you connect, so think first about which data is safe to bring, as I covered in Want to Summarize Your Company's Financial Data in ChatGPT? Is It Dangerous?

Closing

Chat and Work aren't about which one is smarter, but about the kind of work. Quick questions go to Chat, work that ends in a finished deliverable goes to Work. Once a team agrees on that split, usage goes further and the results are more dependable.

If you want to figure out which tasks on your team can go to AI and which are better automated with your own system, tell me what you need.

The photos in this article were made with AI, not photos of real people or places.

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