what is an ai teammate?

the word is doing positioning work

Ai employee aims at the payroll line and lands with finance. Ai worker skews operational. Ai teammate is aimed at the people who will be sitting next to it, and it deliberately implies collaboration rather than substitution.

That is not cynical, it is accurate targeting, and it also predicts the product: teammate-branded tools tend to be strong on presence and context and lighter on autonomy. They join the channel and help. They rarely run for two hours unattended.

the capabilities that make the word honest

Five, and a product that clears four of them earns the label:

1. Presence where the team already is. Slack, a ticket, a repository. Not a separate tab someone has to remember.
2. Context that persists across days. It knows what the project is, what was decided last week, and who asked for what.
3. Assignment, not invocation. You give it a task the way you would give a colleague one.
4. It says when it does not know. The single most useful behaviour and the rarest.
5. Its work is reviewable. You can see what it did and why, not just the result.

Number four is the one that separates a teammate from a liability. An agent that always produces something confident is worse than one that occasionally stops and asks.

the ceiling of a single teammate

One teammate is one perspective. It plans its own work and judges its own output, so on anything longer than an hour it drifts, and nothing in the loop is positioned to notice.

A real team does not work that way. Someone plans, someone builds, someone else reads the result and disagrees. That structure is why teams outperform individuals on complex work, and it is the part most teammate products leave out because a single persona demos better.

how to evaluate one

Two weeks of real work, three numbers: tasks completed without a human rescuing it, minutes of your review time per task, and what it does when the request is ambiguous. That last one is qualitative and it is the most informative thing you will observe.

how this works in aldena

Aldena is teammates plural rather than a teammate. You staff a project from eleven prebuilt agents, among them the intake, requirements, build and code review agents, and set who reports to whom in an org chart so delegation happens down the reporting lines.

Point four is a real behaviour rather than a promise: agents pause and ask when a decision is genuinely theirs to escalate, and anything irreversible stops at an approval gate that is on by default, resuming where it paused. Context persists through memory, 50 private entries per agent plus 100 shared per project, and the project connects to slack, jira, linear, github, and the rest through skills.