Write, code, summarize, translate, learn, plan, and draft.
GitHub Code Review with AI
Bring the files that matter into a Project, where enabled, and get a review from a model that did not write the code. Then a second one.
Latest AI models and studios available from one account
Chat with ChatGPT, Gemini, Claude, and Grok. Then continue into image, document, presentation, spreadsheet, and file workflows.
Fast explanations, study help, and a second opinion.
Long-context writing, review, and careful reasoning.
Another perspective for research, critique, and coding.
Create images and compare visual directions.
Make docs, slides, spreadsheets, images, and file outputs.
Side-by-side answers and AI collaboration
Compare answers when one model is not enough. Use AI Team when the task needs review and synthesis.
Start with this tool. Continue in MultipleChat.
Start with the tasks people use ChatGPT for every day. Keep the page simple; move into advanced workflows only when the task needs them.
Which workflow should you use?
Start with the simplest mode that solves the job. Move up only when the answer needs judgment, collaboration, or a finished file.
How it works
- Import the README, schema and the changed files
- Review with one model
- Cross-check with another
What opens after login
Where enabled, connect GitHub, choose the repository and the files, and they become context for every model in the Project. Re-sync when the code changes.
Paid plans carry the upload capacity a real selection needs and the latest models, which are the ones that find the retry bug rather than approving plausible code.
Advanced multi-model workflows may require a paid plan.
Review a repositoryChoose the right model path
Claude for the first review
Thorough on edge cases and security; ask for findings ordered by severity with the fix.ChatGPT for the second
A different training, different blind spots. Where both flag the same line, it is wrong.Gemini for the tie-break
When the first two disagree about whether something is a bug, a third reading usually settles it.Verification for library facts
Whether a method exists in this version, what a default does: check against docs rather than memory.Use chat, files, and studios from the same account
Chat with files
Upload PDFs, documents, spreadsheets, or images and ask questions about the content.
Image Studio
Create image prompts and continue into the dedicated image generation workflow.
Document Studio
Generate reports, proposals, resumes, and structured drafts.
Presentation Studio
Create decks, outlines, pitch materials, and training presentations.
Excel Studio
Work with spreadsheets, formulas, CSV files, and data analysis tasks.
Projects
Keep chats and files organized around a client, topic, codebase, or research area.
Real tasks people start here
Pre-deploy review
Review the changed files before I deploy. What will break in production?
The question that catches double charges and leaked data.
Review a repository →Retry safety
What happens if this webhook is delivered twice, or out of order?
The single most common serious bug in payment code.
Review a repository →Auth audit
List every route and what an unauthenticated user can do with it.
Finds the endpoint everyone forgot.
Review a repository →Tests first
Write the tests that pin current behaviour, then propose the refactor.
Makes the refactor checkable.
Review a repository →How MultipleChat compares
ChatGPT is a strong model. MultipleChat is the workflow around it: model access, side-by-side comparison, AI collaboration, file handling, studios, projects, and verification in one place.
| Capability | ChatGPT alone | Typical AI aggregator | MultipleChat |
|---|---|---|---|
| Normal ChatGPT tasks | Strong for writing, code, summaries, learning, translation, and analysis. | Usually depends on the chosen model. | Included Do the same core ChatGPT tasks, then continue into broader workflows. |
| Latest model access | One provider's model family. | Several models, but versions can be unclear. | Current paths ChatGPT, Gemini, Claude, Grok, web-search models, and image models in one workspace. |
| Side-by-side model comparison | Manual copy-paste into other tools. | Sometimes basic parallel answers. | Core feature One prompt, multiple answers, same context. |
| AI collaboration | One model answers alone. | Mostly model switching. | AI Team Models can draft, critique, debate, verify, and synthesize one final answer. |
| Create files from chat | Generic text output, then manual copy into other apps. | Often one or two output tools. | Studios Documents, presentations, spreadsheets, images, and file-based chat workflows. |
| Projects and context | Mostly chat history. | Usually folders or separate chats. | Workspace Chats, uploads, project instructions, sources, and history together. |
What to import for a useful review
Not the whole repository. The README, the data model or schema, the module you changed, the modules it calls, and its tests. That is usually five to ten files, and it gives a reviewer the same view a colleague would have. Add Project instructions with your conventions: the database, how money is represented, where secrets live. Then ask one model for the review and a different one for what the first missed.
Re-sync the changed files after you apply fixes, so the next question sees current code. Nothing is committed for you; you apply, test and commit in your own environment.
Start with MultipleChat
Start with free AI chat. Log in when you want the real workspace, saved chats, file uploads, and advanced multi-model workflows.
Review a repositoryFrequently asked questions
Does MultipleChat access my whole GitHub?
No. You connect your account and choose the repository and files to include in a Project.
Private repositories?
Yes, whichever repositories your connected GitHub account can access.
Is my code used to train models?
No. Code stays in your account, is encrypted, and is never used to train any model by MultipleChat or the AI providers.
Can it make the changes?
It writes the fix; you apply it and commit in your own environment. Nothing is pushed for you.
Which plan do I need?
GitHub import is available where enabled; the latest models and larger uploads are on paid plans. See the plans page.
How is this different from an IDE assistant?
An IDE assistant helps you type. This gives you an independent review, from a model that did not write the code, with the repository context in view.
Does it read my whole repository?
No. You select the files to include in a Project. Only those are context.
Can it commit or open pull requests?
No. It reviews and explains; you commit in your own environment.
What is MultipleChat?
MultipleChat is an AI workspace where you can chat with leading models, work with files, use dedicated AI studios, compare model answers, and run AI Team workflows from one account.
Which AI models are available?
MultipleChat includes ChatGPT, Gemini, Claude, and Grok model paths in one workspace, plus dedicated image models inside Image Studio. Exact model availability can vary by plan and provider availability.
Explore related MultipleChat tools
Jump to another model, studio, or workflow.


