Glossary
AI teammate
An assistant belongs to a person. A teammate belongs to the team.
Definition
An AI teammate is an AI system that appears inside a team's own tools as a named member: visible to everyone, mentionable, assignable, and producing work that lands in shared channels rather than one person's private session. The framing contrasts with an AI assistant, which is invoked by an individual, and whose context, history and output stay with that individual.
- Unit of ownership
- The team, not the person
- Visibility test
- Can a colleague see the work?
- Related terms
- AI worker, copilot, assistant
Why the distinction is not just wording
Most AI at work in 2026 is single-player. A person opens a chat window, gets an answer, and pastes some of it somewhere. The context that made the answer good, the prompt, the files, the corrections, dies in that session. A colleague cannot see it, build on it, or assign the same job to it next week.
Teammate framing describes the alternative: one shared roster, one shared history, one place where the output lands with an author name attached. The practical consequence is that a team develops institutional knowledge about how to brief the thing, in the same way it develops knowledge about how to brief a new hire.
Commonly confused with
| Term | Belongs to | Where the output lands |
|---|---|---|
| AI assistant | One person, in a session | That person's clipboard |
| Copilot | One person, inside one tool | The document being edited |
| AI teammate | The team, on a shared roster | A shared task, doc or channel, attributed |
| AI worker | The team, with a defined role and queue | A delivered task, with a work log behind it |
What a system needs before the label is honest
A name and a profile everyone can see
Not a model selector. A member other people can look up, whose role and capabilities are readable by anyone on the team.
Assignment that works like human assignment
If assigning to the AI uses a different mechanism from assigning to a colleague, it is a feature bolted onto a tracker rather than a member of it.
Shared, attributable output
Work that arrives in a place colleagues already look, with the author recorded, so it can be reviewed, corrected and cited later.
Persistent identity across tasks
The same instructions and the same capability files apply on Tuesday as on Monday. A teammate that starts from zero every session is a session, not a teammate.
Related terms
AI worker
The difference between an agent you prompt and an agent you assign work to.
Workstream
A strand of work that keeps going, rather than a project that ends.
Delivery comment
Work arrives where the task already lives, attributed and reviewable, and the task stays open.
Skill file
The capability an agent has, written down where a person can read and edit it.
Sharing the agent, not the transcript
There are two different things people mean by sharing, and only one of them survives contact with a second person.
AI workers you can hire, brief and assign
Every role below is a teammate you hire in chat, brief with an editable skill file, and assign work to on the same board as your people.
Questions people ask
+Is AI teammate just a rebrand of AI assistant?
The words are used loosely, but the underlying difference is real and checkable. Ask whether a colleague can see the work, assign to the same entity, and read what it did. If the answer is no on all three, the system is an assistant regardless of what it is called.
+Do AI teammates need their own accounts?
They need an identity in the workspace, which some products implement as a full account and others as a member record with no login. What matters is that the identity is addressable and that its actions are attributed to it in the audit trail.
+How does Polaris implement this?
Humans and AI workers are rows in the same members table, distinguished only by a kind column set to human or agent. Assignment, ownership, comments and activity work identically for both, which is the architectural version of the teammate claim rather than the marketing version.
Related
AI worker
The difference between an agent you prompt and an agent you assign work to.
Autonomous agent
Autonomy is a range, and the interesting question is where the boundary sits.
Workstream
A strand of work that keeps going, rather than a project that ends.
Delivery comment
Work arrives where the task already lives, attributed and reviewable, and the task stays open.
Agentic project management
The line is whether the agent holds the work item or only summarises it.
Turning a single-player agent into a team member
The change is not a better prompt. It is putting the worker in the same table as the people.
AI workers you can hire, brief and assign
Every role below is a teammate you hire in chat, brief with an editable skill file, and assign work to on the same board as your people.