Give your AI a desk, not just a chatbox.

No. The AI only sees what you point it at — nothing more.

You can point at any document, folder, task, whiteboard, comment, channel, or even a teammate in your workspace. Each chat has its own scope: you add what’s relevant, swap items in and out as the conversation moves, and the AI sees only those things. Selections stay with the chat, so reopening it later picks up exactly where you left off — and what’s currently loaded is always visible above the chat.

Whole folders can be marked off-limits, so the AI never sees them even by accident — useful for sensitive material like HR records or commercial contracts. And you can drop standing instructions on a folder (“write in our brand voice”, “match the engineering style guide”), so every chat working inside that folder picks them up automatically.

The result: your instructions can stop being vague. Instead of:

“Find the brand guidelines in Confluence, use the sales spreadsheet I uploaded somewhere, and incorporate Henry’s feedback from Slack…”

you say:

“Use the brand guidelines <document> and the annual sales data <spreadsheet>. Incorporate Henry’s feedback from <message> in <channel>.”

That precision is the point. The AI works only from the context you explicitly provide or allow.

Projects let you upload a folder of files and trust the AI picks the right ones. Stitching separate tools together has a different problem — not just switching tabs, but that context gets broken apart across them. And connectors between those apps don’t close the gap: they can move data around, but the AI still sits outside the work, looking in. In every case, when you ask AI for help, you end up manually rebuilding the situation: find the right files, copy links, paste feedback, summarize decisions, and hope the AI understands what each piece means.

Collivo is different because the work is built into one shared context layer from the beginning. You see exactly what the AI is reading, and you can change it as the conversation moves — add a document, swap one out, mark a folder off-limits so it’s never touched. Each chat has its own scope.

The AI also works on the same live workspace your team is editing — it sees their changes as they happen, and the files it produces land back in your shared folders, not in a chat reply.

Most AI chat tools are built for individual productivity. They help one person move faster, but real work usually does not happen alone.

A product launch, client proposal, marketing campaign, technical spec, or research project often involves people from different functions. One person drafts something with AI, another reviews it, someone else turns it into a plan, and another person has to execute it. The hard part is not just sharing the final document. The hard part is handing over the context that shaped it: the decisions, constraints, source material, feedback, assumptions, and trade-offs behind the work.

That context is usually scattered across private AI chats, meetings, Slack threads, documents, and people’s heads. So even if individuals are producing work faster, teams can still slow down because everyone needs more alignment meetings just to understand how the work got there.

Collivo is built around shared projects. You can think of a shared project as an office space in the cloud. Each team member has their own private area to think, draft, and work with their own AI using role-specific context. Alongside that, the project has a shared space where documents, tasks, whiteboards, comments, channels, wikis, and team decisions live — and every teammate’s AI works from that same shared picture, including each other’s live edits.

Because that shared context is always available and referenceable, work is easier to hand off. A teammate does not just receive the output — they can also see the relevant source material, comments, decisions, and project history that shaped it. Their AI can use the same shared context too, so the next person does not have to start from scratch.

The result: fewer alignment loops, cleaner handoffs, and faster team execution.

Work rarely moves in a straight line. Research becomes strategy, strategy becomes design, design becomes engineering, engineering becomes launch. At each step, someone new picks it up — and they need the reasoning, not just the finished file.

Most tools hand off the file, but the context is fragile. The final artifact may be shared; the discussions, reasoning, decisions, and source material stay buried in private chats, threads, and people’s heads. Teams get faster at producing drafts and slower at staying aligned.

Collivo gives each project a shared context layer. Team members can still work privately with their own AI agents, notes, and role-specific files. But the shared project space keeps the important material connected: documents, tasks, comments, whiteboards, channels, wikis, decisions, and source references.

So when work moves from one person to another, the context moves with it. That makes handoffs easier, reduces repeated explanation, and helps cross-functional teams deliver outcomes faster.

Two ways to increase your chances of securing a spot: