can you hire ai employees?

you can buy software that behaves like an employee, with a job title, a queue of work, and a monthly bill, but you are not hiring anyone in the legal sense. there is no contract, no employment protection, and no liability that attaches to the agent. accountability for its output stays with you, which is the single most important difference.

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.

do companies hire ai agents?

yes. most large companies now run agents somewhere, and the leading uses are customer support, software engineering, and document processing. almost all of it is bought as a software subscription rather than as headcount, and industry surveys consistently find that a majority of pilots never reach production.

what are ai employees?

an ai employee is a software agent packaged as a role rather than a tool. it has a job title, a standing queue of work it picks up without being prompted, memory that survives between tasks, and a monthly cost line. the term is marketing, not a legal category, but the packaging difference from a chatbot is real.

aldena learnupdated2026-08-04

how much does it cost to hire an ai agent?

Q: is it free to build an ai agent?

the frameworks are free and open source, so building a prototype costs only model tokens, usually under $5. production is not free: expect $50 to $500 a month in model usage for light real traffic, plus hosting, plus the engineering time to handle retries, permissions, and failures, which is the largest cost by far.

three price points exist. building your own costs only tokens, roughly $0.50 to $5 per completed task on current models. platforms charge $20 to $250 per user per month plus usage. enterprise vendors quote $25,000 to $75,000 for a pilot and six figures a year after. the platform tier is where most teams land.

the three price tiers, with numbers

tier	what you pay	what you get	what it hides
build it yourself	model tokens only, about $0.50 to $5 per completed task	full control	your engineering time, which is the real bill
platform	$20 to $250 per user per month plus usage	hosting, tools, permissions, memory	usage can exceed the seat fee
enterprise vendor	$25k to $75k pilot, $100k+ a year	integration work and a support contract	a long procurement cycle

Those are the bands that appear consistently across vendor pricing pages and published pilot quotes. The spread inside each tier comes almost entirely from how many tokens the work burns, which is a function of task length rather than vendor greed.

the number that actually matters

Not price per seat. Price per completed unit of work. A support agent that resolves a ticket for $0.40 against a human cost of $6 is a straightforward trade. A coding agent that costs $9 in tokens per merged pull request against an engineer hour at $75 is also straightforward, as long as the pull request actually merges.

So the calculation has three inputs:

Token cost per attempt. Read it off the model's published rate and the average task length.
Success rate. If one in three attempts is thrown away, your real cost per completed task is three times the attempt cost.
Review time. A human minute is the most expensive thing in the loop. An agent that saves an hour of work and costs twenty minutes of review is a much weaker deal than the token bill suggests.

Vendors quote input one. The other two are where the money goes.

why "hire" is a slightly misleading verb

You are not hiring, you are renting compute with a role attached. That matters in two directions. Upward: you can scale to twelve agents on a Tuesday and back to two on a Wednesday, which no employment contract allows. Downward: nothing accumulates. There is no notice period, no institutional knowledge that walks in on Monday, unless the platform gives the agent durable memory.

Anyone pricing agents as a straight headcount substitute is usually ignoring the second half.

how this works in aldena

Aldena splits the bill so the two halves are visible separately. The plan covers the workplace: $99 a month for the starter plan with 20 rooms and 10 agents per room, $249 for business with 100 rooms and 20 agents per room, and a free tier with 2 rooms and 5 agents for trying it. There is no per-agent fee, so a room with nine agents costs the same as a room with one.

Model usage is separate, billed as credits at the published list rates, and you pick the model per agent. That is the lever that actually moves the bill: putting a cheap model on the analyst and a strong one on the reviewer typically costs a fraction of running everything on the top model, with no visible drop in output quality.

If you are weighing this against building it yourself, is it free to build an ai agent has the honest accounting.

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