teams

Team collaboration

Use shared memory, projects, goals and conversations together, and keep collaborative context inside the right workspace.

Last verified 13 October 2026 · OpenbirdAI documentation

Collaboration in OpenbirdAI works because the workspace carries the shared context: the same memory, the same connections and the same goals. That convenience is exactly why workspace discipline matters.

This guide describes a capability that depends on the connected provider, the permissions granted to it, and your current plan. If the provider cannot supply the required data, OpenbirdAI reports it as unavailable rather than estimating.

What a team shares

Workspace memory — the durable context every member's answers assume.
Connections — the authorised data sources for the workspace.
Goals and projects — the outcomes members are working towards.
Conversations — team members can open the same workspace conversations.

Working together in Ask

A good team pattern is to ask the question once in the workspace, confirm the answer against its sources, then store the agreed conclusion as workspace memory so nobody re-derives it.

Ask the question in the team workspace.
Verify the cited evidence with a second member.
Store the agreed finding in workspace memory.
Reference that memory in later questions rather than repeating the analysis.

Using goals and projects

Goals and projects give OpenFeather a target to reason against. Because they are authorised workspace records, questions such as "how are we tracking against our active goals" are answered from workspace data — with permission — rather than from public documentation.

Keep goals current. A stale goal produces confidently irrelevant advice.

Collaboration mistakes

Running a client question in the wrong workspace.
Letting two members maintain conflicting copies of the same memory fact.
Sharing a single credential-style connection across people when a workspace connection would be cleaner.
Treating a member's conversation as a shared record — it is theirs unless the workspace retains it.

Shared conventions that reduce arguments

Most team disagreements about OpenbirdAI answers come from inconsistent prompting rather than from the product. Agreeing on a few conventions removes most of them.

Name the source and the period in every question that needs one.
Verify findings before storing them as shared conclusions.
Record agreed numbers in workspace memory so everyone cites the same figure.
Ask for a new conversation when the subject changes, rather than continuing a drifted thread.

Common questions

Do all members see the same answers?

They share the same context, but permissions still apply, so a member without a required role may receive an unavailable result.

Where should a shared fact live?

Workspace memory, if everyone in that workspace needs it. Account memory otherwise.