You want to build many small agents
A platform is cheaper per agent once your own team is the one building them
Honest answer
AI coworkerIf you have the engineers and the appetite, build it.
See what we do instead →AI coworkers vs AI agent platforms
Agent platforms give you a builder and host what you build. An AI coworker is built for you and deployed inside your own cloud account. The capability gap between the two is smaller than the marketing suggests; the deployment gap is what actually decides the purchase.
Get a demoAI AGENT PLATFORMA builder, hosted by the vendorRuns in the vendor's cloud, with a copy of your data in itYour team builds the agent, and maintains it afterwardsReaches only what you are willing to expose to the internet
versus
AI COWORKERBuilt for you, running in your accountRuns in your own VPC, under roles your team issuesBuilt for you against your real cases, exceptions includedReaches private systems from inside your own network
An AI agent platform sells you the tools to build an agent and runs the result in the vendor’s cloud. An AI coworker is built for you and runs in yours — which is why these two products get compared on capability and decided on architecture.
Three differences that decide it
Three places the two products genuinely diverge. Everything else is a feature list.
See all comparisons →A platform is a tenancy in the vendor’s cloud. A coworker is a service inside your own account
A platform hands your team a builder. This arrives built, tuned against your real cases
The question stops being how you protect our data and becomes whether we can read the code
What buyers actually compare on
Feature lists rarely decide this one. The list below does.
Where it runsWho holds the dataWho builds itWho maintains itSecurity reviewNetwork reachIAM and rolesAudit loggingEgress controlTime to first valueHandles exceptionsCost modelOff switchVendor lock-in
The architectural difference, in four facts.
Neither product can configure its way out of these; they follow from where the software runs.
Platform runs in
VENDOR CLOUDCoworker runs in
YOUR CLOUDCoworker arrives
ALREADY BUILTPlatform needs
AN OWNER
VENDOR CLOUDCoworker runs in
YOUR CLOUDCoworker arrives
ALREADY BUILTPlatform needs
AN OWNER
When an agent platform is the better choice
You have no cloud account to deploy into
Everything here assumes an AWS, Azure, or GCP footprint that you control
AI coworker
Prerequisite
A cloud account you own
There is no hosted version
There is no hosted version
You want to change it yourself, weekly
A builder in your team’s hands beats a build request, every time
Your teamWe want to tweak this ourselves.
AI coworkerThen a platform fits you better.
AI coworkers and agent platforms, compared
The questions that come up once both are on the shortlist.
Mostly deployment and ownership rather than capability. Agent platforms are hosted by the vendor, so your data has to travel to them, and they hand you a builder to configure. An AI coworker is deployed inside your own cloud account and built for you around one job, so it arrives already knowing how your process works.
Some offer a self-hosted or private tier, usually at enterprise pricing and usually still with a vendor-side control plane. It is worth asking the specific version of the question: which components run in our account, which run in yours, and what crosses between them. The answer is often more nuanced than the marketing page.
It is less general, deliberately. A single-purpose coworker can be tuned against your real exceptions in a way a general builder cannot, and it is far easier to say whether it is working. The trade is flexibility for reliability, and it is a trade rather than a free win.
You add a second coworker rather than reconfiguring the first, and both run in your account under roles you issue. If your team eventually wants to build these itself, nothing in the deployment model prevents that — the infrastructure is already sitting in your account.
Put both against the same real workflow, exceptions included, and ask each vendor where their software runs, who builds it, and who is accountable when it gets something wrong. A demo on clean data does not separate these products; a messy week does.
“Two products can do the same thing and still fail different security reviews. That is the whole comparison.”
Security reviewvendor: agent platform
Where is our data processed?
answer required before procurement✓ Not a question we have to answerPut an AI coworker
inside your own cloud.
Bring the workflow you were going to build on a platform. We will show you the other version.
Get a demo