What people actually want from Projects
Strip away the branding and the Projects workflow is three features working together. A folder that groups the conversations about one piece of work. Files that the AI can see in every conversation in that folder, so you stop re-uploading the same brief. And instructions that apply to the whole folder, so every chat starts already knowing the client, the tone, or the format you need.
Once you have worked that way, going back to loose chats feels broken. The same document pasted into the fifth conversation, the same three paragraphs of context retyped, the same instructions repeated. That is the workflow people are trying to keep when they search for an alternative.
The reasons people look elsewhere are usually one of three: the feature is gated or limited on their plan, they want the workflow with a different model than the one vendor offers, or they are consolidating tools and the standalone subscription is the thing being cancelled.
Where ChatGPT Projects is strong, and where it stops
Credit where due: ChatGPT Projects is a well-built version of this workflow, with project files, project-level instructions, and project-scoped memory, inside the most polished mainstream AI app. If you live entirely inside ChatGPT and pay for it, Projects is a good reason to stay.
The limits worth knowing before you commit your working structure to it. Projects began as a paid-tier feature, and free access arrived later with tighter caps that have shifted over time, so check what your plan includes today. File and project counts scale with the tier you pay for.
The structural limit does not change with any tier: everything inside a ChatGPT project is answered by OpenAI models. If the writing project would be better served by Claude, or the research folder wants a different model for verification, the folder cannot follow you. The same is true in reverse for Claude Projects, which is a paid-tier feature on Anthropic's side. Your organized workspace is locked to one vendor's strengths and one vendor's limits.
Whizi projects: the same three features, every model
Whizi projects implement the same workflow: a project is a folder of conversations that also carries pinned files and its own instructions, and on every message in the project the instructions and the pinned file text are folded into the model prompt.
The caps, published in the product guide:
| Limit | Value |
|---|---|
| Projects per account | 50 |
| Project instructions | 32,000 characters |
| Pinned files per project | 10 |
| Size of one pinned file | 10 MB |
| Accepted file types | PDF, text, Markdown, CSV, JSON, .docx, .xlsx |
| Available on | Every plan, including free |
The difference that motivates this page: a conversation inside a Whizi project can run on any model in the picker. The client folder can draft in Claude, fact-check in GPT, and summarize a spreadsheet in Gemini, and every one of those chats sees the same pinned brief and follows the same project instructions. You organize once and the structure serves whichever model is best for the task in front of you.
Two honest caveats so this stays a fair comparison. Pinned files are text-first: images cannot be pinned, because pinned content rides along as extracted text on every turn. And project context is rebuilt on every message, which is what makes it reliable and also what makes very large pinned files expensive in context. The full guide explains both behaviors.
Moving a working setup across
Migrating the Projects workflow is lighter than it sounds, because the valuable part is not the chats, it is the structure: which files matter, and what the standing instructions say.
- Create the project in Whizi and paste the same instructions you maintained in ChatGPT. Up to 32,000 characters is more room than most standing briefs need.
- Pin the working documents: the brief, the style guide, the reference data. Ten files of 10 MB each covers a serious working folder.
- Start the next conversation in the project rather than importing the old ones, and keep the old thread open in a tab for the first week as reference.
- If you do want the history, Whizi imports ChatGPT and Claude exports, and imported chats can be moved into projects like any other chat.
From there the setup habits are the same ones that made Projects useful in the first place: one project per client or deliverable, instructions that describe the reader rather than the task, and pinned files kept current instead of accumulating stale drafts.
Which alternative fits which situation
The honest matrix, since not everyone should switch:
- You pay for ChatGPT, use only OpenAI models, and Projects works for you. Stay. The feature is good and switching costs a week of habit change.
- You want the Projects workflow without paying for a single-vendor plan. Whizi projects are on the free tier, so the workflow itself costs nothing to try.
- You want the folder, files, and instructions to work across models. This is the case Whizi is built for, and no single-vendor Projects feature can follow you there. See the ChatGPT alternative overview for the wider comparison.
- You are consolidating two AI subscriptions into one. Run the numbers in the savings calculator, then read Whizi vs ChatGPT Plus for the direct head-to-head, including where ChatGPT still wins.
Whichever way you go, the three-feature test is the useful filter: folders, files the AI sees everywhere, instructions that stick. Any tool that does all three preserves the workflow. Anything less is a chat app with a sidebar.
- List the projects you actually maintain and what their standing instructions say
- Check what your current plan gates: file counts, project counts, and instruction length
- Test the same project structure on a second tool before committing to a switch
- Keep pinned files current; a stale brief applied to every chat is worse than none
- Judge the alternative by the three-feature test: folders, ever-present files, sticky instructions
Frequently asked questions
Is there a free alternative to ChatGPT Projects?
Yes. Whizi projects are available on every plan including the free tier: folders of chats with up to 10 pinned files and 32,000 characters of per-project instructions. The caps are abuse guards rather than a paid gate.
Can project chats use different AI models?
In single-vendor tools, no: a ChatGPT project answers with OpenAI models and a Claude project with Anthropic models. In Whizi, each conversation inside a project can run on any model in the picker while seeing the same pinned files and instructions.
Do pinned files work like chat attachments?
No, and the difference is the point. A chat attachment is seen once in that conversation. A pinned file rides along with every message in the project as extracted text, so every chat in the folder can rely on it without re-uploading.
Can I move my ChatGPT project chats to an alternative?
The structure moves in minutes: recreate the instructions and re-pin the files. For the conversations themselves, Whizi imports ChatGPT and Claude export files, and imported chats can be moved into projects afterwards.
Why can I not pin images to a Whizi project?
Pinned files contribute extracted text to every turn in the project, and an image has no text to extract. Images still work as normal attachments in a single conversation with a vision-capable model.