Glossary

The coworker that reads everything,
and sends nothing without you.

A new category with a simple test: does it work where your team works, do whole jobs, and hold every send for a human? Here's the plain definition, and what the term does and doesn't mean.

00

The plain definition.

An AI coworker is an AI system that works alongside a team inside the tools the team already uses - Slack or Microsoft Teams, the inbox, the tracker, the docs - rather than in a separate tab. It connects to those tools under the team's existing permissions, takes on whole recurring jobs such as reporting, follow-ups and status updates, and drafts the work for a human to approve before anything goes out. Three traits define the category: it shares the team's tools, it does jobs rather than just answering questions, and a person stays in the loop on every outbound action.

The term exists because the older words all describe something narrower. A chatbot answers when asked. A copilot helps one person inside one app. An agent can act toward a goal, but the word says nothing about where it works or who approves the result. "Coworker" names the combination teams actually want: agent-grade capability, embedded in the team's own channels, with human judgement kept on everything that leaves the building.

01

How it works.

Strip away the branding and most AI coworkers work the same way underneath:

01

It joins the channels

The coworker gets a seat in Slack or Teams like any teammate. That's where you brief it, where it asks its questions, and where its drafts arrive.

02

It connects under your permissions

Each tool is connected over OAuth by someone on the team, so the coworker sees what that person can see - not one shared superuser account. Access can be revoked at any time.

03

It carries the job, not the prompt

You hand it a recurring job - the weekly report, the meeting follow-ups, the CRM hygiene - and it runs the whole chain: reads the sources, does the stitching, produces the deliverable.

04

It drafts, a human sends

Outbound work arrives as a draft held for approval. The nod is the design, not a limitation: it's what makes a coworker safe to point at clients and colleagues.

02

Not to be confused with.

The neighbouring terms overlap, and vendors use them loosely. The differences that matter:

AI coworker vs AI agent

An agent is the capability - software that plans steps toward a goal and uses tools to get there. A coworker is an agent given a seat on the team: your channels, your permissions, your approval on every send.

Read the full definition

AI coworker vs AI copilot

A copilot assists the person at the keyboard, inside one app, while they do the work. A coworker works for the whole team, across tools, and does the job itself.

Read the full definition

AI coworker vs chatbot

A chatbot answers questions when asked and forgets you between sessions. A coworker holds context across the team's tools and carries jobs forward without being re-prompted.

The test is simple: if you have to open another tab, write the prompt, and paste the result back yourself, it's a tool. If the work shows up drafted in your channel, it's a coworker.
03

Where Beagle fits.

Beagle is an AI coworker in exactly this sense - the definition above doubles as a description of how it works:

01

A seat in Slack or Teams

Beagle joins your workspace like a teammate. Brief it in the channel, and its drafts land back in the thread or your DMs.

02

OAuth in, scoped to the asker

Every connection is granted by a person, and every read is scoped to what that person can see. Around 3,200 tools, revocable at any time.

03

Approval on every send

Nothing goes out to a client, a colleague or a tool without an explicit nod. Human in the loop is the default, not a setting.

04

Common questions.

What is an AI coworker in simple terms?

It's AI that works like a teammate instead of a tool: it sits in your Slack or Teams, connects to the apps your team already uses, does whole recurring jobs like reports and follow-ups, and shows you the draft before anything is sent.

Is an AI coworker the same as an AI employee?

They're near-synonyms and vendors use both. "AI employee" leans on the hiring metaphor - a role with a scope of work. "AI coworker" emphasises working alongside the team, in the team's tools. In practice they describe the same category of product.

Does an AI coworker replace people?

No, and the honest vendors don't claim it does. It takes the recurring, cross-tool stitching work - compiling, chasing, drafting, updating - so the people on the team spend their time on judgement, relationships and the work only they can do.

How is an AI coworker different from ChatGPT?

ChatGPT is a chat tool in a separate tab: it doesn't know your team's tools, holds no standing jobs, and waits to be asked. An AI coworker is embedded in your channels, connected to your stack, and runs recurring work on its own - with a human approving what goes out.

Is it safe to give an AI coworker access to company tools?

It can be, if the access model is right. Look for per-person OAuth grants rather than one shared account, reads scoped to what the granting person can see, approval before anything is sent, and the ability to revoke a connection instantly. That's the model Beagle uses.