Is an AI coworker the same as an automation or a workflow builder?

No. A workflow builder runs fixed 'if this, then that' steps. An AI coworker is conversational — you ask it for something in plain language and it figures out the steps, asks when it's unsure, and shows you the result. Most teams use it interactively first and only automate a task once they trust how it does it.

Where do you actually talk to it?

Mostly in Slack and Microsoft Teams — it joins as a teammate you @mention in the channels and DMs you already use. It also works over email and on the web. The point is that it lives where your team already works.

What's the best first task to hand off?

Pick one recurring, low-stakes job you already do in writing — a weekly update, a post-meeting follow-up, a 'catch me up on this channel' summary. Get that working and trusted, then expand. Teams that try to automate everything on day one tend to stall.

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How-toJune 10, 2026

What can an AI coworker actually do? The jobs teams hand off first

We looked at how teams actually use their AI coworker — anonymized and in aggregate. The real answer isn't 'everything.' It's a short list of jobs people hand off first, almost all of it conversational and inside Slack or Teams.

"What can an AI coworker actually do?" is the first question every team asks — and the honest answer isn't "anything." We looked at how teams actually use Junior, in aggregate and anonymized, and a clear, much shorter list emerged. Here's what people really hand off, in roughly the order they reach for it.

First, the surprising part: it's conversational, not robotic

The mental model most people arrive with is a robot you program once and forget. That's not how it gets used. The overwhelming majority of activity is interactive — someone messages Junior the way they'd message a teammate, gets a result, and replies. Set-and-forget scheduled automation is rare early on; it shows up later, once a team trusts how Junior handles a task.

And it happens where the team already works: the vast majority of interactions are inside Slack or Microsoft Teams, not a separate web app. Slack tends to be broad (many people, light touches); Teams tends to be deep (fewer people, longer sessions). Either way, the AI coworker is a presence in the channel, not a tab you remember to open.

The jobs teams hand off first

1. Drafting and follow-ups

The most consistent everyday job: turn a few bullets into a written thing. Post-meeting follow-ups, replies, outreach, the message you've been putting off. You give the gist; Junior gives you a draft to send.

2. Working with your docs and data

A big share of asks are about Notion, Sheets, files, and data — pull this, summarize that, put it in the doc, find the number. The AI coworker sits on top of the tools you already use and does the fetching, formatting, and tidying.

3. Reporting and digests

Recurring updates: the weekly recap, the metrics summary, the "what happened this week." This is also where the conversational → scheduled transition happens — teams first ask for a report by hand, then have Junior produce it on a cadence once it looks right.

4. Catching up: channel and thread summaries

"What did I miss in this channel?" "Summarize this thread." Reactive, high-frequency, and quietly one of the most-loved jobs — it turns an unread backlog into two sentences.

5. Keeping records honest

Lighter but real: updating the CRM after a call, logging a decision, keeping a tracker current — the admin that never gets done.

Notably quiet early on: heavy ads/performance work and deep research. Useful, but not where teams start.

The real first step: decide what to delegate

The single most common thing new teams do isn't a task at all — it's figuring out what to hand off ("can you…?", "how do I…?"). That's the actual onboarding hurdle, and the lesson is simple: start with one recurring, low-stakes job you already do in writing. A weekly update. A post-meeting follow-up. A channel catch-up. Get one working and trusted, then expand. The teams that try to automate everything on day one are the ones that stall.

A note on the data: this reflects patterns across recent, anonymized usage of an early-stage product — directional, not a census. We didn't read or publish anyone's actual messages; this is aggregate behavior only.

If you're deciding where to point an AI coworker first, these are the proven starting points:

AI Agent for Slack Daily Briefings — the channel catch-up / digest pattern
AI Agent for Weekly Reporting — recurring reports, done for you
Sales Follow-Up Automation — drafting after every call
AI agent vs chatbot — why "conversational, not robotic" matters
Hire Junior — start a free trial, $100 credit, no credit card

FAQ

What can an AI coworker actually do?: In practice, the most common jobs are drafting messages and follow-ups, working with your docs and data (Notion, Sheets, files), assembling reports and digests, and summarizing channels or threads you missed. It can also keep CRM records current and post recurring updates. It works across your connected tools, not just inside one app.
Is an AI coworker the same as an automation or a workflow builder?: No. A workflow builder runs fixed 'if this, then that' steps. An AI coworker is conversational — you ask it for something in plain language and it figures out the steps, asks when it's unsure, and shows you the result. Most teams use it interactively first and only automate a task once they trust how it does it.
Where do you actually talk to it?: Mostly in Slack and Microsoft Teams — it joins as a teammate you @mention in the channels and DMs you already use. It also works over email and on the web. The point is that it lives where your team already works.
What's the best first task to hand off?: Pick one recurring, low-stakes job you already do in writing — a weekly update, a post-meeting follow-up, a 'catch me up on this channel' summary. Get that working and trusted, then expand. Teams that try to automate everything on day one tend to stall.

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