How can a team and their agents work on the same documents?
Part of Shared context for agents: how teams and agents work on the same data
A team and their agents can work on the same documents only when those documents live in one shared place that both people and agents read and write, with clear permissions. A shared folder is not enough once agents join, because agents need addressable, permissioned access, not just file sync. The goal is one source of truth that humans and agents operate on together.
Why do shared docs break once agents join?
Shared folders were built for people, who coordinate socially. Agents do not. They open files, edit, and write back at machine speed, so without addressable access and write rules they overwrite each other and the humans. File sync alone gives you copies, not coordination.
What do you need beyond a shared folder?
Three things: a single source of truth for each document, write access for both people and agents, and permissions that decide who can change what. With those, an agent can update a document and a teammate sees the change immediately, with no copy to merge.
How does adlass do it?
adlass keeps documents in shared Spaces that your team and their agents both work in over MCP. People edit in the app, agents edit through the same layer, and per-Space permissions control access. Everyone operates on one live copy, so a team and its agents genuinely work on the same documents instead of trading versions.
Related comparisons
Frequently asked questions
- Can't we just share a Google Drive or Dropbox folder?
- That syncs copies for people, but agents need addressable, permissioned write access. Without it, agents overwrite each other and your teammates. A shared data layer gives agents and people one live copy.
- Who controls what an agent can change?
- Per-Space permissions. You decide which Spaces an agent can read and write, so agents act only where you allow, on the same documents your team uses.
Work with your agents on the same data
adlass is the shared data layer where you, your team, and their agents work over the same documents and datasets.