which is the best ai employee?
there is no best, because the products are role-specific. sintra and teammates lead on marketing and admin personas, decagon and sierra on support, cursor and claude code on engineering. all of them are solo workers, which is the ceiling that matters more than any ranking between them.
by the role you are filling
| role | strongest options | what they are actually good at |
|---|---|---|
| support representative | decagon, sierra, intercom fin | resolution rate is measurable, so vendors compete on it honestly |
| marketing and admin | sintra, teammates | canned personas, fast to start, shallow past week three |
| software engineer | cursor, claude code, codex | tests give free ground truth, which is why this category works |
| sales development | 11x, artisan | high volume, low precision, check the deliverability numbers |
| bookkeeping | routine reconciliation tools | strong where rules exist, weak on exceptions |
Anything ranking a support agent against a coding agent is comparing products that share a model and nothing else.
how to test one in a fortnight
Rankings are worth less than two weeks of your own data. Run this:
- Pick twenty real tasks you already completed. You know what good looks like, so scoring is fast.
- Count completions without a human rescuing it. This is the number. It is usually far below what the demo implied.
- Time your review. An agent that saves an hour and costs twenty minutes to check is a much weaker deal than the invoice suggests.
- Compute cost per completed task, meaning attempt cost divided by success rate, not attempt cost.
- Try to break it. Ambiguous input, missing information, a task that should be refused. What it does when it does not know is the most informative thing you will see.
the ceiling every one of them shares
They are soloists. Ask the marketing persona for a campaign and you get one, with no analyst checking the numbers and no reviewer reading it before it goes out. Ask the engineering agent for a change and it writes the change and judges the change.
Real work has handoffs and a second opinion. A roster of independent workers has neither, which is why so many deployments look great for three weeks and then quietly stop being used.
the question to ask instead
Not "which ai employee is best" but "what does the work actually need". Well-specified, repeated, checkable work needs one good agent, and buying a team there is waste. Long work with a quality bar needs a planner, specialists, and a reviewer who can say no.
how this works in aldena
Aldena is built for the second case. You staff a room from eleven prebuilt roles and set who reports to whom in an org chart, so a manager delegates and a reviewer checks work before it reaches you.
Pricing is per plan rather than per agent, $99 a month for 20 rooms with 10 agents each, so staffing a room properly does not multiply the bill. Each agent keeps memory between runs, 50 private plus 100 shared per room, and anything irreversible waits at an approval gate.
For what the term covers, see what are ai employees.
related questions
what are ai employees?
an ai employee is an agent packaged as a role rather than a tool: a job title, a standing queue of work, durable memory, and a monthly cost line instead of a prompt box.
can you hire ai employees?
you can hire the software, not a person. what you get is a role you assign work to and pay monthly, with none of the employment law and none of the accumulated judgement.
how much does it cost to hire an ai agent?
real numbers: build-your-own runs on token cost alone, platforms sit at $20 to $250 per seat per month, and enterprise pilots are quoted at $25,000 to $75,000.
what is an ai teammate?
an agent positioned as a colleague rather than a tool: it sits in your channels, holds context about the work, and takes assignments instead of waiting for prompts.
spin up your first room.
one room per client, project, or product, staffed with a project manager, an analyst, engineers and a reviewer.