What is real-time AI collaboration?
Real-time AI collaboration lets multiple team members work in the same AI conversation simultaneously, see each other's cursors and inputs, and branch the conversation when ideas diverge — without losing the shared context. EXXY® AI Studio brings the multiplayer pattern that made Figma and Google Docs the default tools in their categories to AI workflows.
It is built for distributed project teams: architects, engineers, consultants, project managers, and founders who need to think through problems together with an AI co-pilot in the middle.
What you can do as a team
Co-author conversations
Two or more teammates can prompt the same agent in the same chat. Messages stream live for everyone. There is one shared transcript, not parallel copies that need to be reconciled.
Branch when ideas diverge
When the team disagrees about a direction, branch the chat. Each branch keeps the parent context but evolves independently. Branches can be merged, archived, or promoted into a generated slide deck or specification document.
Role-aware permissions
Owners, editors, and viewers each have distinct rights. Viewers can read and ask questions in a side-thread without modifying the canonical transcript. This matters for client and reviewer presence.
Threaded comments on AI replies
Drop a comment on a specific AI message — "this answer is wrong, here's the correct figure" — without polluting the prompt history. Comments resolve and archive like in any modern collaborative editor.
Presence and activity awareness
See who is in the chat right now, who is typing, and who last touched each section. Avatars and cursor colors map to your team identities.
How it stays consistent under the hood
Real-time multiplayer is hard. EXXY® AI Studio uses:
- CRDT-based document state so concurrent edits never conflict.
- WebSocket transport with reconnection and replay.
- Server-authoritative AI calls so two clients can't fire the same prompt twice.
- Role-checked operations at the server, never trusted to the client.
These primitives are the same ones used in agentic orchestration and meeting assistants, so the whole platform behaves predictably under load.
Use cases
- Design review: Architect, engineer, and project manager interrogate a BIM model together with one shared agent.
- Proposal writing: Two founders and a writer co-draft a tender response with the agent generating sections live.
- Onboarding: A new hire shadows a senior reviewer in a live AI chat about a complex past project.
- Client workshop: A facilitator runs a live brainstorm; the agent summarises every 10 minutes.
Privacy and sharing
Shared chats default to private to the team. You can invite external collaborators with link-based access (revocable) and noindex is enforced on every share. See our robots policy and AI training preferences.
FAQ
How many people can be in one shared chat?
Practical performance is excellent up to ~25 simultaneous collaborators. Beyond that we recommend splitting into branches or running a meeting-assistant-led structured session.
Are AI replies streamed to all participants at the same time?
Yes. Streaming tokens are broadcast to every connected client. Late joiners see the full transcript replayed.
Can I share a read-only snapshot externally?
Yes. Snapshot links are time-bound, revocable, and noindex-flagged. They never expose your team's writable session.
What happens if two people type a prompt at the same time?
Prompts are queued server-side and run sequentially. The UI shows whose prompt is in flight and queues the second cleanly so no work is lost.
Does branching duplicate the cost of AI calls?
No. Branches share the parent context until they diverge. New AI calls only happen on new prompts inside a branch.
Bring your team in
Open EXXY® AI Studio, share a chat with your project team, and start co-piloting. To understand how this powers richer outputs, read about agentic orchestration for professional deliverables.