AI Coworker vs Chatbot vs Agent: What Actually Does the Work
Chatbots answer. Agents run steps you define. An AI coworker takes the whole job off your plate. Here is the difference, and why it decides how much work you get back.
GabrielAmy Partner
"Isn't this just a chatbot?" is the first question people ask about an AI coworker, and it is a fair one. The labels (chatbot, agent, copilot, coworker) get used interchangeably, and most of them are marketing. But there is a real distinction underneath, and it is the one that decides whether you get an answer back or the work back.
Here is how the three actually differ.
Chatbot: answers, not outcomes
A chatbot is a conversation. You ask, it responds. At its best it is a brilliant thinking partner: it drafts, explains, brainstorms, and summarizes whatever you paste in.
What it does not do is leave the chat window. It cannot see your inbox, open your CRM, or send anything on your behalf. The work of acting on its answer (copying the draft, finding the data, doing the steps) lands back on you. A chatbot makes you faster at doing the work. It does not do the work.
Agent: automates the steps you define
An agent goes a step further: it can take actions, not just words. Connect it to a few tools, define a workflow, and it will run those steps for you, often on a trigger.
The catch is in "define." Agents are powerful when you know exactly what you want and can spell it out, and brittle when you cannot. You are still the one designing the process, wiring the tools, and maintaining it when something changes. An agent automates a path you have already mapped. The mapping is the work, and it stays with you.
AI coworker: hand off the whole job
An AI coworker is the one you delegate an outcome to. You describe the result you want, in plain language, the way you would ask a capable colleague, and it figures out the rest: which tools to use, what to gather, how to do it, and what "done" looks like.
Concretely, an AI coworker:
- Lives where you work, so you reach it in your inbox, Slack, WhatsApp, or Telegram, with no new app to open.
- Plans and executes end to end, across 500+ connected tools and your own inbox, calendar, files, and CRM.
- Hands back the finished thing, with a trail of what it did, and runs on a schedule when the work recurs.
You are not designing a workflow or writing a prompt. You are delegating. That is the line between a coworker and an agent: with an agent, you own the process; with a coworker, you own the decision and hand over the process. For the practical side of that, see our guide to delegating work to an AI coworker.
Why the difference matters
It is easy to treat this as semantics. It is not, because the category determines how much actually leaves your plate.
| Chatbot | Agent | AI coworker | |
|---|---|---|---|
| You provide | a question | a defined workflow | an outcome |
| It returns | an answer | completed steps | finished work |
| Who does the legwork | you | you set it up | it does |
| Lives in your channels | no | sometimes | yes |
A chatbot makes you a faster doer. An agent makes you a workflow builder. An AI coworker lets you stop doing the legwork at all, which is the entire point of delegating: your time goes to the calls only you can make, and the rest gets handled.
So which do you need?
Most people need all three for different moments, and increasingly they come in one place. Use the chat when you want to think something through. Reach for an agent when you have a rigid, repeatable pipeline you can specify down to the step. And delegate to a coworker when you just want the job done and do not want to manage how.
If your day is full of work you could describe to a competent colleague in a sentence, that is coworker territory, and most days have more of it than you would like. Start with what to hand off first.
Amy is the AI coworker you delegate to, right in the channels you already use. Claim your $50 in credits and hand it your first job.
FAQ
Is an AI coworker just a chatbot with extra steps? No. A chatbot returns an answer in a window. An AI coworker acts across your tools and returns finished work, then shows its trail.
What's the difference between an AI agent and an AI coworker? With an agent you design and maintain the workflow. With a coworker you hand over the outcome and it works out the steps. You stay the decision-maker either way.
Can one tool be all three? In practice, yes. The useful question is not the label but whether it can take the whole job, not just answer questions about it.