ChatGPT Projects

ChatGPT Projects let you keep a client’s brief, reporting rules, files and working conversations together, so the next report starts with useful context already in place. For an operator repeating the same job, the payoff is less time rebuilding the brief and more time checking the work.

Start with one recurring deliverable. A Project called “Northstar Weekly Client Report” is easier to maintain than a bucket called “Work.” Northstar is the example client throughout this guide.

When a Project Beats a Plain Chat or Custom GPT

Choose a Project when the job stays the same while the evidence and conversations change.

Think of it as a client workroom: the files are the reference shelf, the instructions are the working rules, and the chats are the conversations around the table. Project memory lets relevant context from that room inform later work. OpenAI describes Projects as a place for related chats, files and instructions. OpenAI’s Projects guide.

A custom GPT is a version of ChatGPT configured for a purpose. Its conversations do not use saved memory or previous conversations. There is also a current availability wrinkle: personal accounts cannot create or publish new GPTs, and OpenAI is planning a move from custom GPTs to Plugins. Existing GPTs remain usable. For a new recurring client workflow, my recommendation is to start with a Project. OpenAI’s GPT guide.

Put Sources, Rules and Working History in Their Proper Places

Give the Project enough context to do its job, with a clear distinction between approved facts and unfinished discussion.

Project instructions override your global custom instructions inside that Project. Project memory can use its chats and files as context; it is not a promise that every detail will appear in every answer. OpenAI’s broader memory guidance explicitly says memory does not retain every detail. Put an important reporting rule in instructions or an approved source instead of relying on a passing remark. Projects, Memory in ChatGPT.

Set Up a Project for a Weekly Client Report

Build the smallest useful reporting room, then run an actual report through it. These controls follow OpenAI’s setup instructions; the Northstar content is a suggested workflow. OpenAI’s setup guide.

1. Create the Project. Select New project in the sidebar. Enter “Northstar Weekly Client Report,” then choose an icon and color.
2. Add the source material. Upload the account brief, metric definitions, an approved report example and the current reporting export. Projects accept PDFs, spreadsheets, documents, images and pasted text. Keep filenames clear enough that a colleague can identify the current source.
3. Add project instructions. Open the more options menu, then Project settings. Paste the instruction below and adapt the audience and report sections.
4. Choose the memory boundary. For a separate client account, I recommend Project-only memory. In Project settings, select it under Memory, then Save. You can change an existing private Project’s setting; changes may take a few hours. Shared Projects already use this setting and cannot switch to default memory.
5. Bring over useful history. Drag an eligible chat onto the Project or select Move to project from its menu. It inherits the Project’s instructions and file context. Chats created with a GPT cannot be moved this way; if the option is missing, start a new Project chat.
6. Draft, check and preserve the result. Start the report conversation inside the Project. After reviewing the output, open the response’s message menu and choose Save to project or Add to project sources, depending on the label shown. Keep only a reviewed version as the example for future work.

Use this as the project instruction:

Help prepare Northstar’s weekly client report for the account lead. Use the account brief for goals and the metric definitions for calculations. Follow the approved report’s tone and structure. Separate results, interpretation, blockers and next actions. Identify the source and reporting period behind each numerical claim. If information is missing or sources disagree, flag the gap and ask instead of inventing an answer. Treat exploratory chat as discussion, not approval. Mark drafts for review before they are sent to the client.

Then start each reporting cycle with a request like this:

Draft this week’s Northstar report using the current reporting export and the approved metric definitions. Compare it with the previous approved report where the periods and definitions are comparable. Explain the changes, list the evidence behind them, and flag missing inputs. Finish with the decisions the account lead needs to make.

The business change is specific: you stop rebuilding the account brief and report format at the start of every conversation. You still supply fresh evidence, review calculations and approve the client-facing output. Measure the time spent on preparation and review before claiming an hours-saved result.

Share the Workroom With the People Doing the Job

Project sharing is available on Free, Go, Plus, Pro, Business, Enterprise and Edu, on the web and mobile apps. Workspace settings can restrict it. OpenAI’s sharing rules.

Open the Project and select Share. For the Northstar team, use Only those invited, enter the intended collaborators and assign access. Free, Go, Plus and Pro support individual invitations. Business, Enterprise and Edu also support workspace groups; managed workspaces may limit invitations to their own members.

Owners can also enable Anyone with a link, which allows logged-in ChatGPT users with the link to join where that sharing mode is available. Workspace links have their own membership restrictions and initially grant chat access. For client work, my recommendation is to start with named invitations. OpenAI’s access controls.

Everyone in the Project can view and download its files. Chat access is therefore useful working access, not a way to hide internal documents from someone. Keep the agency’s internal working Project separate from any material you intend to hand to the client.

Members can branch a conversation to explore another draft while preserving the original. They do not edit the same chat together synchronously. Agree which reviewed report is the current deliverable so alternative branches do not become competing approvals. OpenAI’s collaboration guide.

Sharing Automatically Turns On Project-Only Memory

A shared Project can draw on conversations within that Project. It cannot use a member’s personal memories, custom instructions or chat context from outside it. Conversations outside a Project using project-only memory cannot draw on its conversations either. Removing collaborators does not restore default memory. OpenAI’s memory rules.

That boundary means the account brief must actually be in the Project. Your teammate’s separate conversation about the client does not silently become shared knowledge.

Default memory behaves differently. Enterprise and Edu keep Project conversations contained, while other plans, including Business, can reference conversations across Project boundaries unless project-only memory applies. For separate client accounts, choose the boundary deliberately. OpenAI’s default-memory explanation.

The Limits That Affect This Setup

The Project owner’s plan determines the collaborator limit. These are the file and collaboration limits listed on OpenAI’s Projects page. Plans and limits.

You can create unlimited Projects, but upload only 10 files at a time, within the Project’s total allowance. Chat rate limits follow your subscription; the Projects page does not give a separate numerical message allowance.

For an ongoing report, the other practical constraints are:

• Keep the evidence current. Uploading a file with an existing filename offers Upload anyway or Skip. Do not assume it replaces the old file. Deleting a file from a shared Project removes it for everyone.
• Check memory settings if continuity is missing. Turn on Enable memory if that is the control shown. With separate controls, Enterprise requires Reference saved memories plus workspace Memory. Other subscriptions require Reference saved memories and Reference chat history. Managed workspaces must allow memory.
• Keep an approved source instead of an invisible memory checklist. Project memory has no itemized list to inspect. To exclude a conversation, delete it or move it when the Project’s settings permit.
• Do not mistake a Project for scheduled reporting. OpenAI says ChatGPT Work is unavailable in Projects using project-only memory. Google Drive added within a Project does not sync content in advance for retrieval. The workflow above depends on someone updating and reviewing the inputs.

These behaviors are documented in OpenAI’s Projects guide. If your main problem becomes refreshing business data, the separate ChatGPT Data reporting workflow is the more relevant next comparison.

Project-only memory also does not mean a model-training opt-out. For personal accounts, shared-Project data may be used to improve models only when the owner and every contributor have Improve the model for everyone on. Business, Enterprise and Edu workspace content is not used for training by default. OpenAI’s data-use explanation.

Where Projects Pay Off Most

The strongest use cases have a recurring deliverable, a stable audience and source material someone owns. These are proposed workflows, ranked by practical fit for a small team.

The weak fit is a job with no maintained source material and no owner. A Project will give that work a home, but the team still has to decide what is correct and current.

What Is Worth Building Around This

The strongest opportunity is a weekly reporting setup service for agencies or small operations teams. The buyer gets a usable workflow: organized source files, metric definitions, project instructions, an approved report pattern and a review checklist. Search demand for “weekly report template” points to an existing formatting and reporting job, although it does not prove willingness to pay for a Projects service. The demand check used DataForSEO keyword data.

The smallest sellable version could be a prepared source bundle plus an assisted setup for the buyer’s recurring report. The buyer creates the Project and owns its access. The difficult work is agreeing on definitions and approval rules. Generic prompt packs are easy to copy; knowledge of the buyer’s reporting process is the stronger reason to hire someone.

A client handoff kit is the next opportunity. An agency could buy a structured intake document, account brief, decision log and handover prompts that make a client Project useful to the next account manager. Searches for “client onboarding software” provide an adjacent commercial demand signal, not direct validation of this particular offer. DataForSEO keyword data.

Its first version could package existing client material for manual upload and include a walkthrough with the outgoing and incoming owner. The catch is stale information: a polished handoff becomes unreliable unless someone maintains the source documents. These are proposed services around the documented workflow, not claims of an integration that automatically creates or administers Projects.

Common Questions

How can I create a project in ChatGPT?

Select New project in the sidebar, enter a name and choose an icon and color. Add reference material, then use Project settings for instructions and the memory setting. OpenAI’s setup steps.

How many projects does ChatGPT allow?

OpenAI lists unlimited Projects. File limits apply separately to each Project, and collaborator limits depend on the owner’s plan. OpenAI’s limits.

Can ChatGPT make a report?

Yes. A Project can hold the reporting evidence and instructions for drafting recurring updates. For the suggested workflow here, supply current inputs, ask for source-backed claims and review the output before using it. OpenAI’s reporting use case.

Why are ChatGPT Projects not working as expected?

Check that the chat is inside the intended Project, its sources are current and the required memory settings are enabled. Workspace restrictions can also affect features. A chat cannot be added while it is temporary, and a chat created with a GPT cannot be moved into a Project. OpenAI’s troubleshooting details.

Your Monday Move

Take the next client report you already owe. Create its Project, add the approved brief and definitions, paste the reporting instruction, and run the draft through your normal review. Then ask a colleague to continue the work from the shared context. The useful test is whether they can understand the job and produce a reviewable next draft without another briefing from you.

If you want help turning that recurring report into a maintained business workflow, we can build the automation with you.