OpenAI has released an official guide to ChatGPT Projects, a workspace feature that allows users to organize conversations, files, and custom instructions in one place — offering a structured alternative to ChatGPT's default one-off chat experience.
The guide, published on the OpenAI Academy platform, walks users through the core mechanics of Projects: grouping related chats, attaching relevant files, and writing persistent instructions that apply across every conversation within a given project. The goal, according to OpenAI, is to help users manage ongoing work without needing to re-establish context each time they open a new chat.
What ChatGPT Projects Actually Do
At its core, the Projects feature functions as a lightweight persistent workspace. Instead of each conversation starting from scratch, users can create a named project — say, a marketing campaign or a software build — and everything relevant to that effort lives inside it. Files uploaded to a project remain accessible across sessions, and any custom instructions set at the project level apply automatically, without users needing to repeat themselves.
This represents a shift from the standard ChatGPT experience, where context is session-bound and file uploads don't persist beyond a single conversation.
"Projects turns ChatGPT from a one-shot tool into something closer to a persistent working environment," according to OpenAI's framing — a shift that changes how professionals can integrate it into daily workflows.
For professionals who use ChatGPT regularly for defined workstreams — legal document review, code debugging, content production — this removes a significant source of friction. The need to re-upload files or re-explain background information at the start of every session has been a concern raised by power users.
Persistent Instructions and File Access
One of the more practical elements highlighted in the Academy guide is the ability to set project-level custom instructions. These operate similarly to the global custom instructions feature OpenAI introduced in 2023, but are scoped specifically to a project rather than applying universally across all of a user's chats.
This means a user could maintain separate instruction sets for different contexts — formal legal writing in one project, casual brainstorming in another — without those preferences bleeding into unrelated conversations. For anyone juggling multiple clients, teams, or subject areas, this granularity matters.
File persistence is the other significant capability. Documents, spreadsheets, or reference materials uploaded to a project stay there, ready to be referenced in future conversations without re-uploading. According to OpenAI, this supports more effective collaboration by giving team members a shared resource pool within a project.
Collaboration and Team Workflows
The guide also addresses collaborative use, suggesting Projects can serve as a shared space for teams working within ChatGPT's ecosystem. While the Academy documentation doesn't go deep on the specific mechanics of multi-user collaboration — such as permission controls or real-time co-editing — it frames Projects as a tool for making AI-assisted work more portable and shareable.
This positions Projects as a feature aimed at ChatGPT Plus, Team, and Enterprise subscribers, where organisational and collaborative workflows are the primary use case. Availability on the free tier appears limited, though OpenAI's documentation doesn't explicitly state which plans unlock full Projects functionality.
For developers and technical teams, the absence of an API-level interface for Projects is notable. Currently, Projects appear to operate entirely within the ChatGPT web and app interface, meaning programmatic creation or management of projects — useful for teams wanting to automate workspace setup — isn't documented as available. Integration, for now, is limited to the UI layer; traditional programmatic integration doesn't exist.
What This Means
ChatGPT Projects gives regular users a more structured, less repetitive way to work with AI on ongoing tasks — and for professionals managing multiple workstreams, it represents a practical upgrade that reduces setup time and brings ChatGPT closer to functioning as a persistent work tool rather than a conversational utility.