How Agents Plan and Execute Tasks
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When you give a regular chatbot a request, it processes your message and generates a response in one step. An agent does something fundamentally different – it breaks your goal into a sequence of smaller steps, decides what to do first, executes each step using available tools, and adjusts based on what it finds along the way.
This process is often called a reasoning loop – the agent thinks, acts, observes the result, and then decides what to do next.
Reasoning loop – the cycle an agent goes through repeatedly: plan a step, take an action, observe the result, decide the next step. This continues until the task is complete or the agent gets stuck.
A Real Example
Say you ask an agent: "Find the three most common complaints in these customer emails and draft a short summary."
A chatbot would attempt this in one go and give you whatever it can produce from memory. An agent would:
- Read through the emails one by one;
- Identify patterns and group them;
- Draft a structured summary based on what it found.
The difference is that the agent is actively working through the material rather than generating a response based on a single pass.
Email 1 From: james.hartwell@email.com Subject: Still waiting for my order
Hi,
I placed my order three weeks ago and it still hasn't arrived. The tracking page hasn't updated in five days. I've tried calling customer support twice but was put on hold for over 20 minutes each time and eventually gave up. This is really frustrating — I needed this for a work event that has already passed. Please let me know what's happening.
James
Email 2 From: priya.nair@gmail.com Subject: Product quality issue
Hello,
I received my order yesterday and I'm quite disappointed. The stitching on the bag is already coming apart after just one use. For the price I paid, I expected much better quality. I've attached photos. I'd like either a replacement or a full refund. Please advise on next steps.
Priya
Email 3 From: tom.okafor@outlook.com Subject: Where is my package?
To whom it may concern,
My order was supposed to arrive last Monday. It's now been 10 days and I have no update. The automated tracking email I received says "in transit" but nothing has changed. I'm starting to wonder if it was lost. Can someone please investigate and get back to me within 24 hours?
Tom
Email 4 From: laura.chen@company.com Subject: Damaged item received
Hi there,
I received my order today but the packaging was completely crushed and the item inside was cracked. I took photos before opening in case you need them. This is the second time this has happened with your deliveries. I really like your products but the packaging and shipping process needs serious improvement. Please arrange a replacement as soon as possible.
Laura
Email 5 From: mike.santos@email.com Subject: No response from support team
Hello,
I submitted a support ticket four days ago about a billing issue — I was charged twice for the same order. I've received no response at all, not even an acknowledgement. I've also sent two follow-up emails. This level of support is simply not acceptable. I'd like this resolved urgently and a confirmation that the duplicate charge will be refunded.
Mike
Email 6 From: anna.bergstrom@mail.com Subject: Product not as described
Hi,
I ordered the medium size based on your size guide but the item that arrived is clearly much smaller than described. The dimensions on the website don't match what I received. I'm not sure if this is a product issue or a listing error but either way I'd like to exchange it for the correct size or get a refund if the right size isn't available.
Anna
What Tools an Agent Can Use
An agent's usefulness depends directly on what tools it has access to. Without tools, it is just a chatbot with extra steps. With the right tools connected, it can do genuinely useful work on your behalf.
Not all agents have access to all tools by default. When you set up an agent, you decide which tools it can use – this is also how you control what it is allowed to do.
Common tools agents work with include web search, reading and writing files, sending emails, and connecting to other apps via integrations. You will see how to configure these in Section 2.
What happens when an agent gets stuck?
Sometimes an agent cannot complete a task – it hits a step where it does not have enough information, a tool fails, or the instructions are unclear. In most cases the agent will stop, explain what it could not do, and either ask for clarification or suggest what additional input it needs.
This is a feature, not a bug. An agent that flags its own limitations is far more useful than one that silently produces a wrong result and moves on. When you review an agent's output, always check whether it mentioned any steps it could not complete – that is your cue to refine the instructions and try again.
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