The Multiplayer AI Workspace
One intelligent workspace where people and AI think together — documents, tables, research, and knowledge, held in shared memory.
Why knowledge belongs together
Modern teams scatter their thinking across a dozen tools. IL Co keeps every idea, decision, and source in one connected surface.
Add a paragraph connecting this to the Q3 research collection?
The old stack forced a choice: a doc tool that couldn't reason, or a chatbot that couldn't remember. IL Co is one surface where @Maya and Research AI edit the same page — and every change becomes shared memory.
Work is fragmented. IL Co isn't.
Documents, tables, AI, research, and knowledge — one home where everything understands everything else. This is where every morning starts.
Research AI compiled 14 sources into CRDT landscape
2mMaya edited the Launch narrative
6mWriting AI drafted section 2 from the tradeoff table
9mJules commented on Initiatives
14mStart alone. Scale together.
One workspace that grows with you — not separate products for individuals and teams. Your personal space becomes a shared team space without switching tools, migrating data, or leaving anything behind.
Just you and your AI — try switching to see it scale.
The CRDT landscape
Conflict-free replicated data types let many editors — human and AI — change the same document at once and always converge on the same result.
Start alone
Your notes, docs & AI
Invite your team
People + AI agents join
Scale together
Knowledge becomes shared
Documents that hold everything they touch
Write with an AI that knows your whole workspace. Mention people, reference research, link collections — every connection stays alive as your thinking evolves.
Positioning IL Co
Our category is the Multiplayer AI Workspace. Per Maya, the wedge is shared memory across every surface.
Competitors separate documents from data from intelligence. We keep them continuous, so knowledge compounds instead of scattering.
Tighten this into a one-line category definition?
Love this framing — can we pull the retention stat from the table?
Retention held at 94% — cited from 3 connected sources.
The spreadsheet, reimagined as living knowledge.
Cells hold documents, research, and relationships — not just numbers. Ask in plain language, and a new column reasons its way into existence.
Natural-language formulas
Relationship fields
Connected collections
Views, charts & grouping
AI is not a chatbot here. It is a team of colleagues.
Specialized AI teammates live inside the workspace. They write, research, build, and organize alongside you — each contributing to the same shared memory.
Found 14 sources. Created “CRDT Landscape” in Model Research.
Turned the summary into a table of tradeoffs.
Drafted section 2 from the table. Cited 4 sources inline.
Linked this doc to 3 collections and past decisions.
Approved. Ship to the launch collection.
Everything above became shared memory — searchable, connected, and reusable by every human and AI in the workspace.
Knowledge that organizes itself.
A Collection is an intelligent knowledge space. Documents, research, tables, notes, and discussions gather around a topic — and keep evolving as work happens.
Research is a workspace, not a conversation.
Questions, sources, evidence, and reasoning live side by side — every finding stays connected to the notes, documents, and tables it informs.
Which approach minimizes conflicts at scale — OT or CRDTs?
CRDTs converge without a central server and tolerate offline edits. Higher memory cost, but the multiplayer model makes it worthwhile.cites 3 sources
Every action becomes connected memory.
Nothing disappears. Nothing becomes isolated. Each document, discussion, table, and decision folds into one connected memory — a living knowledge graph that both people and AI can traverse, with the reasoning still attached.
One command. The entire workspace answers.
Search across notes, collections, research, tables, timeline, AI memory, and people — every result opens instantly, with its full context intact.
One chronological story of everything.
Human edits and AI actions, research and decisions — woven into a single history you can revisit, replay, and learn from.
Work that organizes itself in the background.
Intelligent flows keep the workspace tidy — grouping knowledge, suggesting the next action, and routing approvals — all with a human in the loop.
Move 3 completed initiatives to the “Shipped” collection and notify the team.
The workspace is always alive.
Cursors, selections, comments, and presence — humans and AI editing together in real time, in the same shared space.
For a decade, work was split across tools that never spoke to each other. IL Co brings documents, tables, research, and AI into one workspace with a single shared memory. Everything understands everything else.
Love this line — can Writing AI tighten the second sentence?
Not eight tools. One operating system for knowledge.
Zoom out, and the whole system comes into view — every capability sharing the same memory, the same context, the same living workspace.
One workspace. One shared memory. One IL Co.
Knowledge belongs together.
The Multiplayer AI Workspace.
Early access is rolling out to teams gradually.