OpenAI has spent three years teaching ChatGPT to answer questions. Today, it announced the model is now meant to finish your workload instead.<\/p>\n
The company launched ChatGPT Work,<\/u> a new mode inside ChatGPT built to take on multi-step projects across a person\u2019s apps and files rather than responding to a single prompt and stopping there. It arrives alongside GPT-5.6,<\/u> OpenAI\u2019s newest model family, which now powers both Work and Codex, the company\u2019s coding agent.<\/p>\n
What ChatGPT Work actually does:<\/p>\n
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- Gathers information across a user\u2019s connected apps and workflows to build finished materials: documents, spreadsheets, slide decks, reports, and interactive web apps<\/li>\n
- Stays on complex projects for hours by breaking them into smaller steps and working through them independently<\/li>\n
- Lets a user state an outcome, attach the relevant files or apps, and leave the model to find its own path there<\/li>\n
- Runs on GPT-5.6, which OpenAI says is now state of the art at reasoning through multi-step tasks and matching a user\u2019s existing templates and reference files<\/li>\n<\/ul>\n<\/div>\n
In OpenAI\u2019s own words, ChatGPT is becoming \u201ca partner for your most ambitious work\u201d rather than a place to ask quick questions. The company frames Work as the point where Codex\u2019s agentic technology, originally built purely for coding, finally reaches everyday knowledge workers. More than five million people now use Codex every week, and more than one million of them already use it for tasks that have nothing to do with software development, a signal OpenAI reads as proof that people want an agent that does the work, not just one that writes code.<\/p>\n
Built for the whole day, not just the desk<\/h2>\n
\n ChatGPT Work won\u2019t be static but follow you around.<\/p>\n
Photo: OpenAI<\/p>\n<\/figcaption><\/figure>\n
Work is designed to follow a person around rather than remain pinned to a single device.<\/b> A task can start on a phone during a commute, get checked mid-afternoon between meetings, and get picked back up on the web once someone\u2019s back at their desk. When on the desktop, it can access local files and installed apps directly, and comes with a built-in browser so it can pull in live websites, tools, and online files without a user tabbing out.<\/p>\n
Two features do most of the heavy lifting:<\/p>\n
\n- \n
- Plugins <\/b>connect ChatGPT t<\/b>o the tools where work already happens. These include Slack, Microsoft Teams, Gmail, Google Drive, SharePoint, calendars, CRMs and project trackers. Typing \u201c@\u201d followed by an app\u2019s name in a prompt tells ChatGPT exactly where to pull context from, and a new unified plugins directory brings all connections into one place.<\/li>\n
- Scheduled Tasks l<\/b>et a person hand off recurring administrative tasks entirely. For example, reviewing new Slack messages each week to refresh a meeting agenda, checking a dashboard every morning and sending a summary, or updating a presentation the moment new feedback lands by email. Nothing runs unsupervised without a user\u2019s say-so. People choose what ChatGPT can access, when it should check in, and which actions need explicit approval before going ahead.<\/li>\n<\/ul>\n<\/div>\n
OpenAI is also introducing Sites in public beta<\/u>,<\/u> a way to turn a piece of work straight into an interactive dashboard, tracker, or internal tool, shareable by URL and testable inside ChatGPT itself before it goes live.<\/p>\n
The early evidence<\/h2>\n
\n When using ChatGPT Work via a browser<\/p>\n
Photo: OpenAI<\/p>\n<\/figcaption><\/figure>\n
OpenAI shared four customer accounts from its testing period, and the specifics are worth sitting with rather than skimming. At Zapier,<\/b> Angela Ferrante, Head of Enterprise Marketing, used Work to build a repeatable system for reviewing thousands of leads a month, tracing customer touchpoints across the CRM and email, flagging where follow-ups broke down, and generating a weekly executive dashboard that ended up surfacing seven figures in missed pipeline.<\/p>\n
At RingCentral,<\/b> Vaneet Seth, R&D Efficiency Manager, turned a manual monthly launch check into an automated workflow that reviews release plans, Jira tasks and go-to-market schedules, then produces source-backed reports naming exactly who owns what. The result: Seth went from supporting a single product manager to supporting roughly 50.<\/p>\n
Virgin Atlantic\u2019s <\/b>Nathan Bolt, Head of Digital Products, fed Work a customer journey and a list of competing airlines while building the airline\u2019s five-year plan, then had it research and assess where Virgin led or lagged. What would normally be weeks of manual competitive analysis came back as a dataset his team could review and refine in hours.<\/p>\n
And at NVIDIA,<\/b> Will Daney, Go-to-Market Manager, used Work to automate prep for GTC, the company\u2019s global conference, a task that previously ate up around 40 percent of his pre-event time in spreadsheets. ChatGPT tracked account registrations, meeting plans and field sales prep, then synthesised hundreds of session transcripts and customer-meeting notes afterwards so the team\u2019s two-week review became a discussion of findings rather than a data-assembly exercise.<\/p>\n
\n![\"\"](\"https:\/\/i.ytimg.com\/vi\/GphgJjaKKhw\/hqdefault.jpg\")
<\/picture> - Scheduled Tasks l<\/b>et a person hand off recurring administrative tasks entirely. For example, reviewing new Slack messages each week to refresh a meeting agenda, checking a dashboard every morning and sending a summary, or updating a presentation the moment new feedback lands by email. Nothing runs unsupervised without a user\u2019s say-so. People choose what ChatGPT can access, when it should check in, and which actions need explicit approval before going ahead.<\/li>\n<\/ul>\n<\/div>\n
- Plugins <\/b>connect ChatGPT t<\/b>o the tools where work already happens. These include Slack, Microsoft Teams, Gmail, Google Drive, SharePoint, calendars, CRMs and project trackers. Typing \u201c@\u201d followed by an app\u2019s name in a prompt tells ChatGPT exactly where to pull context from, and a new unified plugins directory brings all connections into one place.<\/li>\n