Everyone is talking about AI agents. But what do they actually do?
A year ago, most conversations about AI were centered around chatbots. People were asking ChatGPT to write emails, summarize articles, or help with coding.
Today, the conversation has shifted.
Businesses are no longer asking AI to simply generate answers they’re asking it to complete work.
Now what is AI agents really?
Unlike traditional AI assistants that respond to prompts, AI agents are designed to perform tasks for you. They can understand a goal, decide what steps are needed, and interact with software to get the job done. That’s why many companies now see AI agents as the next evolution of AI automation and workflow automation.
Whether you’re a freelancer, a startup founder, or part of a larger operations team, understanding what AI agents actually do can help you decide if they’re worth adding to your workflow.
AI assistants answer questions. AI agents complete work.
People often use the terms interchangeably, but they’re not exactly the same thing.
If you ask ChatGPT to write an email, it gives you the draft.
An AI agent goes a step further. It can research the customer, gather information from different sources, draft the email, update your CRM and prepare everything for you to review.
The focus isn’t on conversation, it’s on execution.
That’s why businesses are increasingly adopting AI agents for repetitive work that follows a clear goal but still requires multiple steps.
Get app
Write
Notifications
Andrea Miles
Home
Library
Profile
Stories
Stats
Following
Find writers and publications to follow.
See suggestions
Welcome Offer
Access to everything. Now 20% off.
Upgrade now
Press enter or click to view image in full size
What AI Agents Actually Do (And Why Businesses Are Using Them)
Andrea Miles
Andrea Miles
5 min read
·
Just now
Everyone is talking about AI agents. But what do they actually do?
A year ago, most conversations about AI were centered around chatbots. People were asking ChatGPT to write emails, summarize articles, or help with coding.
Today, the conversation has shifted.
Businesses are no longer asking AI to simply generate answers they’re asking it to complete work.
Now what is AI agents really?
Unlike traditional AI assistants that respond to prompts, AI agents are designed to perform tasks for you. They can understand a goal, decide what steps are needed, and interact with software to get the job done. That’s why many companies now see AI agents as the next evolution of AI automation and workflow automation.
Whether you’re a freelancer, a startup founder, or part of a larger operations team, understanding what AI agents actually do can help you decide if they’re worth adding to your workflow.
AI assistants answer questions. AI agents complete work.
People often use the terms interchangeably, but they’re not exactly the same thing.
If you ask ChatGPT to write an email, it gives you the draft.
An AI agent goes a step further. It can research the customer, gather information from different sources, draft the email, update your CRM and prepare everything for you to review.
The focus isn’t on conversation, it’s on execution.
That’s why businesses are increasingly adopting AI agents for repetitive work that follows a clear goal but still requires multiple steps.
What can AI agents actually do?
Most AI agents are designed to reduce the kind of work nobody enjoys doing manually.
For example, they can:
- Research companies before sales calls
- Update CRM records
- Collect information from websites
- Process invoices and documents
- Organize files and folders
- Schedule meetings
- Prepare reports
- Send follow-up emails
- Monitor dashboards
- Handle repetitive administrative work
None of these tasks are particularly difficult, they’re simply repetitive, and repetitive work is often where businesses lose the most time.
Why businesses are investing in AI agents
Many people assume AI agents exist to replace employees.
In reality, most businesses are using them to remove repetitive tasks from their employees’ workload.
Think about how often you:
- Copy information between systems
- Switch between browser tabs
- Update spreadsheets
- Download and rename files
- Check dashboards every morning
- Fill in the same forms
- Send nearly identical emails
Each task only takes a few minutes.
But together, they can consume several hours every week.
AI agents help automate those routine processes so people can spend more time on creative work, customer relationships, and decision-making.
Different AI agents solve different problems
One of the biggest misconceptions is that every AI agent does the same thing, they don’t.
Just like you wouldn’t hire the same person to be your accountant, designer, and salesperson, different AI agents are built for different types of work.
WorkBeaver: Best for non-technical teams
If your work involves repetitive tasks across desktop applications and browser tabs, WorkBeaver is one option to consider.
Rather than building complex automations or learning APIs, you can describe what you want in plain English or teach it a workflow once. It’s designed for people who simply want to automate repetitive business tasks without needing technical skills.
That makes it useful for operations teams, marketers, recruiters, finance teams, and small businesses that spend hours each week moving between different applications.
OpenAI Operator: Best for web-based tasks
If most of your work happens inside a browser, OpenAI Operator is designed to navigate websites and complete online tasks using natural language instructions.
Claude Cowork: Best for document-heavy work
Professionals who spend most of their day reviewing documents, reports, or internal knowledge bases may find Claude Cowork especially useful. It helps summarize information, answer questions, and organize large amounts of content.
Manus: Best for autonomous research
Manus is designed for users who want AI to independently research topics, plan projects, and produce detailed reports with minimal guidance.
Lindy: Best for recurring business workflows
Lindy acts like a virtual teammate that can help manage emails, scheduling, customer support, and other recurring operational tasks.
CrewAI: Best for developers
For technical teams, CrewAI provides a framework for building multiple AI agents that collaborate on larger workflows, making it a popular choice for custom business automation projects.
Do AI agents replace workflow automation?
Not necessarily.
Traditional workflow automation platforms like Zapier, Make, Microsoft Power Automate, and n8n are still excellent at connecting applications and handling structured, rule based workflows.
AI agents shine when the work is less predictable.
For example, they can interpret documents, make decisions based on context, or complete tasks across multiple tools without relying entirely on predefined rules.
For many businesses, the best approach isn’t choosing one over the other.
It’s using traditional automation for predictable processes and AI agents for workflows that require more flexibility.
A simple way to know if you need an AI agent
Before signing up for another AI tool, spend ten minutes reviewing yesterday’s work.
Write down every task you completed.
Then ask yourself:
Do I do this more than twice a week?
Did it follow the same steps each time?
Did it involve switching between multiple apps?
Was I mostly copying, pasting, or moving information?
Could someone else do this if I documented the process?
If you answer “yes” to several of those questions, there’s a good chance that workflow could be automated.
Start with one repetitive process, measure how much time you save. Then move on to the next.
The future of AI isn’t better prompts, it’s less repetitive work
The biggest shift happening in AI isn’t that models are getting smarter.
It’s that they’re becoming more capable of taking action.
Businesses are moving beyond using AI simply to write content or answer questions. They’re using AI agents to automate workflows, reduce repetitive work, and improve productivity across teams.
Whether that’s WorkBeaver for non-technical desktop automation, Claude Cowork for document analysis, Manus for autonomous research, Lindy for business operations, or OpenAI Operator for browser-based tasks, the goal is the same: spend less time on repetitive work and more time on work that actually benefits from human judgment.
The companies that get the most value from AI won’t be the ones using the most tools.
They’ll be the ones using the right tool for the right job.
Top comments (0)