Right now 99% of people use straightforward AI conversational tools like ChatGPT.
That’s great.
Some even build basic AI assistants in the form of GPTs – also good.
This is just the beginning.
Lots of big companies are working with teams from Microsoft, Google, OpenAI and more on their next-gen AI agent tech (yes another confusing mouthful).
Assistants vs Agents: What’s the difference?
Two terms you might hear techies mention with AI products are ‘AI assistants’ and ‘AI agents’.
Here’s the difference in clear, simple terms.
Let’s start with what we know – AI assistants like ChatGPT.
These are tools that help us with tasks through conversation. They can write, analyse, explain, and give suggestions based on what we ask.
AI agents take this a step further.
Instead of just helping through conversation, agents can actually complete tasks on their own. They follow instructions, use different tools, and make basic decisions to get things done.
The key difference is simple:
- AI assistants help you with tasks
- AI agents complete tasks for you
Both are valuable, but they serve different purposes. An assistant works with you through conversation, while an agent works independently based on your instructions.
Use this info to impress the boss at your next meeting.
I’m not going to leave you with just this, though.
As I’m a tech nerd, I’ve filmed a quick video (see below) to show how agents work with examples from Google and Salesforce – enjoy.
What can AI agents do?
Imagine you have a personal assistant who doesn’t just follow your instructions, but takes the initiative to resolve problems independently.
AI agents are like that, except they exist in the digital world.
At their core, AI agents are smart programs designed to observe their environment, make decisions, and take actions using the tools available to them.
Unlike traditional software that waits for you to give it a command, like LLMs, AI agents can think ahead, figure out what needs to be done, and act – sometimes without needing constant human input.
Think of them as a self-driving car.
Instead of waiting for a person to steer, brake, or accelerate, the car analyses traffic, makes decisions, and moves safely toward its destination.
AI agents work similarly but in a digital space, whether it’s automating workflows, analysing data, or even assisting with creative tasks.
The magic of AI agents lies in their autonomy and problem-solving abilities. Even if you don’t give them step by step instructions, they can work out the best way forward to achieve a set goal.
They do this by following set rules and past experiences to decide the best way to complete a task.
This makes them incredibly useful for businesses, customer support, research, and even personal productivity.
How AI agents work

You can seen an example of this in the image above taken from Google’s white paper on AI agents.
In this scenario, an agent helps a user plan, find, book and check-in for a flight.
The agent has access to all the necessary tools and reasoning power to complete this on behalf of the human. You can see me build something similar for HR onboarding in this demo.
AI agents are still evolving, they’re already transforming how we interact with technology. For now, just think of them as the digital teammates working behind the scenes to get things done!
Examples of AI agents in action
AI agents are becoming part of our daily lives, wether you’re aware of it or not is another question.
They perform tasks that range from the mundane to the complex.
Two notable, and easily accessible to every one, examples are OpenAI’s “Operator” and Anthropic’s “Claude” with its “computer use” feature.
OpenAI’s Operator
Operator is an AI agent developed by OpenAI that can autonomously navigate the web to perform tasks on your behalf.
I get that sounds both odd and spooky.
It interacts with websites much like you and I would by clicking, typing, and scrolling to accomplish various objectives.
Operator can fill out forms, book travel arrangements, or even create memes by remotely interacting with a web browser (a big use case for me). This allows it to handle tasks such as purchasing groceries or filing expense reports, and streamlining processes that typically require manual input.
Just think, to never have to go searching for bananas on your local grocery app again, what a time to be alive.
Computer Use with Claude
Anthropic’s AI model, Claude, has introduced a feature known as “computer use”.
Bit of a boring name, but you gotta start somewhere,
As you’ve (probably) guessed by the name, this enables Claude to operate a computer just like we would.
Again, all the functionality that Operator has like filling out forms, ordering food, or managing emails autonomously. It has raving fans already as as Asana, Canva, and DoorDash are exploring ways to integrate this feature into their workflows.
Maybe the end of the trusty mouse and keyboard is closer than we think.
In Sum
Your AI Agent Cheatsheet 📝
- Assistants help you with tasks, Agents do tasks for you
- Agents works independently based on your instructions
- The magic of AI agents lies in their autonomy and problem-solving abilities
- They’ll be incredibly useful for businesses, customer support, research, and even personal productivity.
Agents are here as the next level of meaningful use of generative AI technology.
They serve a specific purpose in the ecosystem of AI-powered tools at our disposal. As always, if you’ve found this helpful, please consider sharing it wherever you hang out online.
Before you go… 👋
If you like my writing and think “Hey, I’d like to hear more of what this guy has to say” then you’re in luck.
You can join me every Tuesday morning for more tools, templates and insights for the modern L&D pro in my weekly newsletter.



