Your AI answers questions well but never finishes the actual work. ChatGPT Work fixes that.
You have probably used ChatGPT to draft an email or summarise a document, then still spent an hour building the spreadsheet yourself. That gap between a good answer and a finished file is exactly what OpenAI closed on 9 July 2026.
ChatGPT Work is an agent mode that takes a brief, works in the background, and hands you a completed spreadsheet, slide deck, report, or small web app. It does the assembly, not just the advice.
This guide walks through what it does, how to brief it, what to connect it to, and where it still trips up.
What is ChatGPT Work and how is it different from regular ChatGPT?
ChatGPT Work is an agentic mode inside ChatGPT that produces finished files instead of chat replies. It accepts a brief, plans the steps, works for minutes or hours, and returns a spreadsheet, deck, document, or web app. It launched on 9 July 2026, runs on GPT-5.6, and is bundled into Plus, Pro, Business, and Enterprise plans at no extra cost.
Regular ChatGPT is conversational. You ask, it answers, you copy the answer somewhere and finish the job yourself.
ChatGPT Work sits beside Chat mode as a separate mode. It keeps working on a multi-step task and returns the actual artifact, formulas and formatting included.
According to OpenAI's launch announcement, spreadsheets arrive with formulas and summaries built in, and slide decks are generated from outlines or meeting notes, ready to present.
How does ChatGPT Work actually build a spreadsheet or deck?
ChatGPT Work runs through four visible stages: it reads your brief, produces a Plan you approve in Plan mode, works in the background with configurable check-ins, then delivers the finished file. You stay in control through action approvals at each major step rather than watching a black box.
Plan mode is the part most people skip and then regret. Before any work starts, it shows a step-by-step plan you can edit.
If the plan says it will pull last quarter's numbers from the wrong sheet, you catch it in ten seconds instead of after an hour of wrong output.
Check-ins let you decide how often it pauses to confirm direction. For a familiar task, set fewer check-ins. For a high-stakes report, set more.
The Sites feature, currently in public beta, extends this to interactive web apps such as calculators, signup forms, and internal dashboards.
How do you write a brief that gets a usable result on the first try?
Write the brief the way you would hand work to a capable new hire: state the deliverable format, the source data, the audience, and what a good result looks like. Vague briefs produce generic files. The single biggest quality lever is naming the exact output and the standard it must meet before the agent starts.
Do not just say "make a sales report." Specify the file type, the sections, the data source, and the reader.
Here is a copy-paste brief you can adapt:
Try this brief:
--- Deliverable: A slide deck (10 to 12 slides) summarising Q2 sales performance for our Hong Kong retail team.
--- Data source: The attached Q2_sales.csv. Use only these figures, do not invent numbers.
--- Audience: Regional manager who has 5 minutes before a meeting.
--- Structure: 1 title slide, 1 executive summary, 3 slides on top and bottom performing categories, 2 slides on month-over-month trends, 1 slide with 3 recommended actions.
--- Standard: Every chart must have a clear title and a one-line takeaway. Flag any data gaps instead of guessing.
--- Before you build: Show me your plan and wait for my approval.
That last line forces Plan mode, so you review the approach before it commits time to the wrong structure.
What can you connect ChatGPT Work to?
ChatGPT Work connects to your existing tools through a Plugins directory, including Slack, Gmail, Google Drive, and Salesforce, plus dozens more. It can also run tasks on a schedule. This turns it from a one-off file generator into something that pulls live data and delivers recurring outputs without you re-briefing it each time.
Connecting Google Drive lets it read your real source files instead of you pasting data in.
Connecting Slack or Gmail lets it deliver the finished file to where your team already works.
Scheduling matters most for recurring reports. A weekly sales summary can be briefed once and delivered every Monday morning automatically.
Treat connected data with the same caution you would give any tool with access to company files. Grant only the connections a specific task needs.
Where does ChatGPT Work fall short?
ChatGPT Work still struggles with judgement calls, messy source data, and tasks where "correct" is subjective. It can format a deck beautifully while drawing the wrong conclusion from ambiguous numbers. For the first two weeks, review its output closely rather than forwarding it unchecked, and never let it invent figures to fill a gap.
It is strong at assembly and weak at deciding what actually matters in your specific business context.
If your source data has inconsistent labels or duplicate rows, it may produce a clean-looking file built on a flawed reading.
Long autonomous runs can also drift. The more steps you let it take without a check-in, the higher the chance one early mistake compounds.
The practical rule: use it to do the heavy lifting, keep yourself as the editor who signs off.
Try it now: your first 20-minute project
Pick one recurring task you already understand well, such as a weekly summary or a standard report, and brief ChatGPT Work to build it once. Use Plan mode, review the plan, then compare its output against how you would have done it manually. This tells you fast where it saves time and where it needs supervision.
Start with something low-risk where you can judge the quality instantly.
Give it the full brief structure from the section above, including the "show me your plan" line.
When the file comes back, note the two or three things you had to fix. Those become the extra instructions in your next brief.
The point of using AI at work was never faster answers. It was finished work, done well, with less of your time spent on assembly. We understand AI. We understand you better. With UD by your side, AI doesn't feel cold.
Ready to Put AI to Work on Real Output?
Knowing the feature is one thing. Building it into a workflow your whole team can rely on is another. We'll walk you through every step, from choosing the right tasks to connecting your tools and reviewing output safely.
