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Demos
Assistant: DGCP
Team: Negocios
4Participants
14Conversations
5Comments
7Docs + files
Last used: May 21, 2026, 3:11 PM 7 documents
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Work
Where conversation becomes output, and individuals become a team.
Most AI tools are built for one person typing into a box. A Workspace is a shared room where your people and your AI sit at the same table — everyone seeing the same conversation, building on the same documents, contributing to the same outcome, no matter when they join or where they are working from.
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One shared room for people and AI Everyone sees the same thread; context survives the closed laptop.
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Parallel threads as the work demands A campaign here, a proposal there, a research dive in a third — without losing the plot.
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Nothing lost deep version history Compare changes word by word; restore any earlier draft in one click.
Overview
Controlled Workspaces
The AI is not just answering questions in a Workspace — it is drafting alongside you. Less like a chatbot, more like a colleague who never forgets the brief.
A private room for every team
Each team gets its own space with its assistant, files, conversations, comments, and version history — who can do what is obvious, and nothing leaks between spaces.
app.agentticai.com/client/workspaces
Direct answer
What does a Workspace give a team that a single chatbot does not?
A place where the work happens together and stays together. Your people and your AI share the same conversation, the same documents, the same context — over time, across everyone who joins. The AI drafts alongside the team instead of answering one person at a time, and what the team creates becomes a living document, not a chat log nobody can find tomorrow.
A shared thread of context that does not disappear when someone logs off.
The AI drafts with the team — a colleague who never forgets the brief.
Conversations become real documents the team can refine, comment on, and ship.
Why this matters
What gets harder without it
01
AI used one prompt at a time never becomes teamwork
When every person types into their own box, the good thinking stays trapped with whoever happened to ask. The team never builds on a shared thread, and the same questions get asked five times.
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Good output vanishes into chat logs
The assistant wrote something worth keeping. It scrolled away. Without living documents and version history, the work was never really saved.
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Feedback scattered across email and chat is no feedback at all
Comments live in three inboxes and a Slack thread. Nobody knows what is still unread or what was already addressed.
A shared room, not a private box
Your team opens as many parallel conversations as the work demands — a campaign in one thread, a proposal in another, a research deep-dive in a third — all in real time, with file uploads and voice, all available for the next person who needs to pick them up.
- Everyone at the table sees the same conversation.
- Conversations stream in real time and support files and voice.
- The thread waits for the next teammate — context does not reset.
Conversations that become living documents
What you create together does not vanish into a transcript. Workspaces turn conversations into artifacts your team can refine, comment on, and ship — every edit saved, with a deep version history that compares changes word by word and restores any earlier draft in one click.
- Nobody fears overwriting a teammate's work — nothing is ever truly lost.
- Compare versions word by word; restore an earlier one instantly.
- Export the finished piece as Word, PDF, Markdown, HTML, or image.
Clean, simple control over who does what
Bring in the people who belong, assign them as owners, editors, or viewers, and keep everyone else out. Decide whether a Workspace is private to you, open to a team, or limited to the exact members you choose. Threaded comments keep feedback in context, with unread tracking so nothing slips.
- Owner, editor, viewer — boundaries that are obvious, not buried.
- Private, team-wide, or a hand-picked member list — your call.
- Threaded comments with reply and unread tracking, right where the work is.
How your team uses it
How your team uses it
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Open a Workspace for the initiative and bring the team to the same table as the AI.
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Work in parallel threads — the AI drafts alongside everyone, in real time.
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Promote the good output into a living, versioned document.
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Comment in context, restore an earlier draft if needed, and export when it is ready.
What you can see
What shows up on your dashboard
activity
Who is contributing
A quiet record of activity — how much is being produced and where the energy is going.
history
What changed and when
Deep version history on every document; word-by-word comparison and one-click restore.
feedback
What still needs a reply
Threaded comments with unread tracking, so feedback lands instead of scattering.
Best-fit use cases
A marketing team running a launch — the campaign thread, the assets, and the AI drafts all in one room.
A team turning a long research conversation into a shared, versioned document anyone can pick up.
A department putting AI to work collaboratively instead of one person at a time.
How access works
Bring in only the people who belong; assign owner, editor, or viewer.
Choose whether a Workspace is private, team-wide, or limited to chosen members.
Every document keeps deep version history — nothing is ever truly lost.
Common questions
Questions teams ask before signing
How is a Workspace different from just chatting with the assistant?
A chat is one person at a time. A Workspace is the whole team and the AI in one shared room, with documents, version history, comments, and roles — the conversation becomes output the team can ship.
What happens to the work when someone leaves the project?
Nothing is lost. The thread, the documents, and the version history stay in the Workspace for whoever picks it up next. Remove the person's access; keep the work.
Can I keep a Workspace private to just a few people?
Yes. A Workspace can be private to you, open to a team, or limited to the exact members you name — with owner, editor, and viewer roles inside.
Related parts of the platform
Related parts of the platform
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