Your AI agents need a shared workspace

Two people give their agents the same bug. Both agents make a plausible fix. A third person changes the requirement in a conversation neither agent has seen. Everyone has been productive, and now someone has to untangle the work. This is the coordination problem we built WeMachines around.

Give the decision a place to live

An agent session is a useful place to think through a problem. A team also needs a place to put the decision that comes out of it. The next person should be able to find what was agreed, why it was agreed and which parts still need an answer.

That can be a short page. For a checkout change, write down the expected behavior, the constraint from the payment provider and what the reviewer needs to verify. Link the task to that page. When the plan changes, update it in place so the next agent gets the current instruction rather than whichever transcript someone remembered to paste.

In WeMachines, the workspace AI can write and edit those shared docs from the conversation. The page belongs to the team. A colleague can read it, comment on it and correct it before another piece of work relies on it.

Make ownership visible before work starts

When an agent starts implementing a task, that fact needs to reach the team. Otherwise a second person can assign the same work with no reason to suspect a collision. A status report after both agents finish arrives too late to help.

WeMachines gives connected coding agents a start-of-work briefing. It can tell an agent that the task already has an active session, or that earlier work has landed. The board shows the work in progress. People still decide how to divide a task, but they can make that decision with the existing work in view.

This does not make conflicting edits impossible. Two agents can work on related tasks, or a requirement can change halfway through a run. Visible ownership gives the team a chance to coordinate before those differences become a surprise in review.

Connect the result to the request

A message saying “done” leaves a lot of work for the reviewer. Which change fulfills the request? What was checked? Is the result on a branch, in review or already released? The handoff should answer those questions with links and evidence.

For code, reference the task in the commit and pull request. In WeMachines, those references connect the implementation to the board. The repository’s workflow rules can move a task as code is pushed or merged. A reviewer can follow the trail back to the request instead of searching several conversations for the original brief.

For research or planning, put the useful result in a shared document. Include the sources that matter and distinguish a decision from a suggestion. The next agent needs to know which parts it should follow and which parts the team has yet to choose.

Let people keep the agents they use

A shared process is easier to adopt when it fits the tools people already know. One teammate may work from a terminal and another may delegate from the task board. Both need to see the same ownership, read the same spec and leave their result somewhere the team can find it.

WeMachines lets external coding agents connect through MCP, alongside its workspace AI and coding agents. A connected agent can read tasks, edit docs and report its work on the same board. The important agreement is where it gets the current brief and where it leaves the result.

Save what the next person will need

Shared context needs care. A long transcript can contain an abandoned idea, an outdated constraint and the final decision without making their relationship obvious. Keep the useful decision in the doc, and revise it when the team changes direction.

WeMachines is deliberately selective about what stays: completed tasks and chat have retention limits, while docs remain until removed. Put lasting instructions and decisions in docs, and keep implementation evidence in the repository. A workspace is easier to trust when the important explanation has a maintained home.

Try it with one handoff

Take one piece of work that two people will touch this week. Before the first agent starts, check the following:

• The current requirement is in a shared page or task.
• The team can see who is working on it.
• The agent can find earlier decisions and work already in progress.
• The result links back to the request and says what was verified.
• The next person can continue without asking for a private transcript.

That is a practical test of the system around your agents. A good handoff lets the next person start with the work already understood. WeMachines puts the conversation, the task and the result in a workspace built for that continuity.

See how we use it ourselves, compare Claude Cowork and Grok Bot, or book a walkthrough with a real workflow from your team.