What is Manus AI, and should your company use it
A general AI agent that opens its own browser, writes its own code, and hands back finished work. What it actually does, how the credits work, and when not to use it.
Manus is a general AI agent. You give it a sentence; it breaks the work into steps, spins up a cloud machine, browses, writes code, runs it, and hands back a finished piece of work.
Not a conversation — a deliverable. That distinction is the whole point.
One: what it actually does
Three things we’ve used it for and can vouch for:
- Deep research. “Thirty food-importing trade companies in Hong Kong, with size and main categories” — it reads the sites rather than handing you a pile of links.
- Documents and data. Give it a stack of PDFs and ask for payment terms and lead times as one table.
- Something that runs. Small tools, dashboards, simple sites: it writes them, runs them, and fixes them when they break.
A task can run for tens of minutes. Close the tab and it keeps going.
Two: it’s priced in credits, not by the month
As of August 2026, the published plans are roughly:
| Plan | Per month (USD) | Monthly credits |
|---|---|---|
| Free | 0 | ~300 daily |
| Entry | ~20 | ~4,000 |
| Mid | ~40 | ~8,000 |
| High volume | ~200 | ~40,000 |
Annual billing saves about 17%.
Three: credits are where it gets away from you
A single deep-research task can burn 500 to 1,000 credits. On the twenty-dollar plan that’s four or five large tasks in a month.
Credits don’t roll over either.
None of which makes it expensive — for what it does, it isn’t. The problem is that you can’t see what a task will cost before you run it, which makes it hard to budget. Fine for one person. Think harder before forty colleagues are on it.
Four: when not to use it
Anything you repeat weekly. Every task starts from zero, so your context goes in again each time. Great the first time; by the tenth you’ll notice the time has all gone into pasting.
Anything that goes to a customer and costs money when wrong. It runs unattended — you aren’t watching each step. That’s fine while researching. It isn’t fine on a quote.
Data you can’t put anywhere. See below.
Five: the ownership story is worth knowing
Manus was built by Butterfly Effect, founded in Beijing in 2022, which moved its headquarters to Singapore in mid-2025. In December 2025 Meta announced a roughly US$2bn acquisition; in April 2026 Chinese regulators ordered it unwound; by June Meta had completed the operational separation and Manus returned to operating independently.
The tool didn’t get worse. But if your customer list and pricing logic are going in for the long term, that history is worth knowing.
So how should you use it
Our advice: treat it as a very capable temp, not as a system.
A market study, a deck, testing an idea — use it. It’s good, and it’s cheap for what it is. Something done weekly, by anyone on the team, at a cost you can state in advance is a different kind of thing.
