I would pay attention to Grok Bot now.
Not because it has one magical model that suddenly makes every other AI useless. The interesting part is much simpler: you can give an AI a job and it can keep that job.
It can remember how you want the work done. It can use a browser, files and connected tools. It can learn a repeated workflow. It can run that workflow later without you opening the chat again. And when one Bot finishes, another Bot can take the next part.
You can close your laptop and the work can continue.
That small change is why Grok Bot feels much bigger than another AI release.
A normal chatbot waits for the next prompt. Grok Bot is closer to a small team that can keep watching, checking, preparing and handing work forward. One account can support a large roster of Bots and group chats, while routines allow the same work to run again later.
I think this is the part people will slowly understand over the next few months.
The next AI skill may not be writing better prompts.
It may be designing better teams of agents.
Forget the technical language for a minute.
Think of Grok Bot as five simple things working together.
A Bot is a job.
Research Bot. Content Bot. QA Bot. Sales Bot. CTO Bot.
The computer is the workplace.
Your Bots use a persistent cloud computer with a browser, files and logged-in sessions.
A skill is the method.
It tells a Bot how to complete a repeated job.
A routine is the clock.
It tells the Bot when to run that skill again.
A group is the team.
One Bot can hand work to another instead of sending everything back to you.
That is basically the product.
The important detail is that your Bots do not each live inside completely separate machines. They share one persistent cloud computer under your account, including files and authenticated browser sessions. This makes handoffs very easy, but it also means separate Bots should not be treated as separate security zones.
A simple way to picture it:
YOU
↓
GROK BOT TEAM
Research → Writing → Review
↘ ↑
Files
Browser
Tools
Memory
This is why Grok Bot becomes interesting when you stop using it like chat.
The real power is in giving one Bot a job, loading the right context, teaching it a workflow, turning that workflow into a skill, scheduling it, and then letting other Bots research, build, review, and hand work forward. The guide below breaks down that full setup, including coding workflows, agent graphs, token costs, tools, routines, and the safety rules that actually matter.
