An AI agent is an AI tool that can take a task, use tools to work on it, and return with a result instead of simply telling you what to do. I have been trying one called Tab for about a week, mostly through WhatsApp, and it has given me a much clearer idea of what people mean when they talk about AI agents. It is interesting, sometimes surprisingly useful, and occasionally limited in ways that are worth talking about.
I went into this expecting another chatbot. What I found was something that felt a little different: I could send a task as a message, leave it alone, and come back when it had something to show me. That shift is what made me curious enough to write about it.
Key takeaways
- What an AI agent is: an AI system that can use tools and take steps towards completing a task on your behalf.
- How it differs from a basic chatbot: instead of only explaining what you could do, an agent can often produce the file, edit, research or other result itself.
- What I tried: Tab, an AI agent I used through WhatsApp.
- What I used it for: analysing my blog, creating a Pinterest graphic, preparing video metadata and working on a presentation-style edit of a talk I recorded.
- The limitation: agents can still fail, misunderstand a task or reach the limits of the tools available to them.
What is an AI agent?
Most of us first experienced AI through chatbots. You ask a question, get an answer, and then do the actual work yourself. You might ask one to explain how to design a poster, write a video description or organise your week. It gives you the instructions, but you still have to carry them out.
An AI agent takes that idea a step further. It can be given a goal, decide which steps are needed, use connected tools, and work towards completing the task. Depending on the agent and the permissions it has, those tools might include a web browser, documents, image or video software, calendars and messaging apps.
That does not mean every chatbot is incapable of taking action. Some chatbots already have tools too. The useful distinction is whether the system can carry a task through several steps and deliver a result, rather than stopping at an explanation. An AI agent is less like a search box and more like a digital assistant that can work with its own set of tools.
Chatbot vs AI agent: what is the difference?
Here is the simplest way I can explain it:
- A chatbot can explain how to design a poster. An AI agent with the right tools can create the poster and send you the file.
- A chatbot can tell you how to write video descriptions. An agent may be able to prepare titles, descriptions and tags for a whole set of videos.
- A chatbot can suggest how to organise your week. An agent connected to a calendar may be able to create reminders or schedule tasks for you.
The important words are with the right tools. An agent cannot magically do something just because you ask. It needs access to the relevant tools, and those tools need to be capable of doing the job.
The AI agent I tried: Tab
I have been using an AI agent called Tab for about a week. I mostly interact with it through WhatsApp, so there is no new app interface I have to learn for the basic conversation. I send it a message describing what I want, much like I would message a person, and it works on the task.
That might sound like a small detail, but it changes the experience. I do not have to sit in front of a chat window and keep prompting it at every step. I can send a task, get on with something else, and wait for it to come back with an update or a result.
What I actually used Tab for
During my first week, I tried giving it a few tasks that were connected to things I already do. These were not artificial test questions. I wanted to see whether it could help with actual work.
- Analysing my blog: I asked it to look at my own blog and tell me what my writing says about me. The result was uncomfortably accurate in some places. It was an interesting way to look at my writing from a different perspective.
- Creating a Pinterest graphic: I gave it a one-line idea and asked it to turn that into a graphic. This was a practical test of whether I could describe a visual idea in ordinary language and get something usable back.
- Preparing videos for upload: I asked it to turn a set of ideas into short videos and prepare the titles, descriptions and tags. The point was to reduce the small, repetitive tasks that come with publishing videos.
- Editing a talk I recorded: I gave it a 15-minute talk recorded on my phone and asked it to make the video look more like a presentation, with subtitles. This task was still in progress while I was writing this post.
What I liked most was not any single output. It was the workflow. I could send a task and leave it running in the background instead of staying there to guide every little step. For someone who has several ideas and projects going on at once, that is genuinely appealing.
Where AI agents still fall short
This is the part I think matters just as much as the impressive demonstrations. AI agents are useful, but they are not magic. They can misunderstand what you want, produce a result that needs more work, or discover that the available tools cannot do something properly.
For example, I asked Tab to fix my eye contact in a video because I was reading from a script and my eyes kept moving away from the camera. It searched for a method and tried to work on it. Eventually, it told me plainly that the result was too subtle to be worth using.
It did not pretend that the problem had been solved. I appreciated that. I would much rather use an agent that admits when a result is not good enough than one that confidently presents an unsuccessful attempt as a finished job.
There is also a practical limit to how much work you can ask it to do at full speed. Tab has a daily full-speed allowance. After that, heavier tasks can take longer. That is worth keeping in mind if you plan to use it for long video edits or several demanding tasks in a day.
Who can benefit from using an AI agent?
I do not think AI agents are only for developers or people who work in technology. The idea is useful precisely because you can describe a task in ordinary language. Depending on the tools available, they may be helpful for:
- Content creators who need help preparing videos, graphics, captions, descriptions and other publishing tasks.
- Students and researchers who want help gathering information, organising material and preparing documents.
- Professionals who spend too much time on repetitive research, writing and administrative work.
- Small business owners who have many small tasks to handle but may not have a team to do them.
- Curious people who want to understand what the next stage of AI might look like by actually trying it.
Frequently asked questions about AI agents
What is the difference between an AI agent and ChatGPT?
ChatGPT is an AI assistant that can answer questions and, depending on the tools and features being used, can also take actions. An AI agent is a broader way of describing an AI system that can work towards a goal by using tools and carrying out multiple steps. The difference is not simply the product name; it is what the system can do in a particular setup.
Is Tab free to use?
At the time I tried it, Tab was free to use with a daily full-speed allowance. It continued to respond after that, but heavier tasks could take longer. Check Tab’s own website for the latest details, as plans and limits can change.
Do I need to install an app to use Tab?
I used Tab through WhatsApp, so I did not need to install a separate Tab app for that experience. Tab’s available ways of accessing the service may change, so check its current access options.
Can an AI agent do everything for me?
No. An AI agent can only do what its models, tools and permissions allow. It can make mistakes, misunderstand instructions or fail at a task. Important results still need human review.
How can I try Tab?
You can try it using my invite link: https://tab.bot/r/754F51B7101A2F30. Access is through an invitation, and the link may be subject to Tab’s current availability and terms.
So, is an AI agent worth trying?
I am still figuring that out. One week is not enough to make grand claims about a technology that is changing this quickly. But I have understood something that was difficult to appreciate just by reading about AI agents: the interesting part is not that an AI can have a conversation with you. It is that you can give it a real task and let it attempt to complete the work.
Some results will be useful. Some will need correction. And some tasks will simply be beyond what the tools can do right now. That is fine. I am more interested in seeing where this goes than pretending it has already reached some perfect future.
If you have been reading about AI agents and wondering what they actually feel like, try giving one a small, real task. It could be planning something, preparing a document or making a simple graphic. My invite link for Tab is here: Try Tab.
I do not know yet where all of this is going. But I am curious enough to keep finding out.
