What is an AI agent? What does it do in everyday life?

aila team · · 4 min read

An AI agent is an AI system that, given a goal, gathers information from its surroundings, decides what to do and uses tools to actually carry the task out. What sets it apart from a chatbot that only writes replies is that it can act, which is why approval and control matter more.

A short definition: perceive, decide, act

Sources describe an AI agent as software that interacts with its environment, collects data and uses it to perform self-directed tasks toward set goals. IBM puts the same idea as a system that performs tasks by designing workflows with the tools available to it.

You can think of it in three steps. First it perceives: it reads your request, a document or the result of a call. Then it decides: it picks the next step toward the goal. Then it acts: it runs a tool, phones a place, creates a record. After that it checks the outcome and changes course if needed. Anthropic's engineering post draws the line clearly: systems that follow predefined code paths are workflows, while agents dynamically direct their own process and tool use.

Chatbot, assistant and agent: what is the difference?

The terms get mixed up. A practical split, based on the definitions in those sources:

  • Chatbot: answers questions and produces text. IBM treats chatbots without tools, memory or reasoning as nonagentic. You do the task afterwards.
  • Assistant: helps by talking with you and usually works under your direction. It suggests and drafts.
  • Agent: uses tools and carries out part or all of the task itself. When needed it comes back to you with a question.

Examples from everyday life

Agents that companies build for customer service dominate search results, but the same idea applies to your own errands. Examples:

  • Finding a table or a barber slot: the agent scans options, calls the place, asks for a free time and brings the result back.
  • Asking price and availability: it asks the same question in several places and puts the answers side by side.
  • Telling someone you are late: it passes on "I am running 15 minutes behind" to the right place.
  • Multi step errands: linked steps such as dinner, a calendar entry and a ride home are handled in one request.

Risks and control: approval, transparency, data

Anthropic writes that an agent's autonomy brings higher costs and the potential for compounding errors. The same post says agents can pause for human feedback at checkpoints or when they hit a blocker. IBM lists human approval before highly impactful actions, from mass emails to financial trading, as good practice.

In daily use that turns into three questions. Approval: does it ask before a binding step? Transparency: if it phones someone, does it tell them what it is? Data: is it written down what it shares and with whom? For the detail, see the checklist in our post "Is an AI assistant safe?".

Where does aila fit in this picture?

By this definition aila is an assistant on the consumer side: in Istanbul it phones on your behalf and carries the task through. You say what you want; aila shows what it will do and who it will call on an approval card. No call is made until you approve. When it calls, it introduces itself as your AI assistant and brings the result back to you.

Its limits are clear too: aila does not haggle, does not commit money on your behalf, does not leave voicemail and does not decide on topics you have not instructed. Calls, quotes and bookings are never final without your approval.

Frequently asked questions

No. A chatbot mostly produces answers; an agent can use tools to carry out the task itself. The difference is that it can act, not just write.

Errands settled by phone or in a few steps: booking a table, asking price and availability, reporting a delay, then gathering the result and bringing it back.

It depends on the design. In a good one, binding steps depend on user approval. With aila, calls, quotes and bookings are never final without your approval.

Yes. The sources note that errors can compound step by step, so check details such as date, time and address at the approval step.

aila is an AI assistant that carries tasks out on the user's instructions: it calls, asks, arranges and brings back the result. It always works on the condition of your approval.

Sources

  1. AWS: What are AI agents? · Definition of an AI agent: software that interacts with its environment, collects data and performs self-directed tasks toward goals.
  2. IBM: AI agents · Definition as a system performing tasks with tools, the contrast with chatbots lacking tools, and human approval before highly impactful actions.
  3. Anthropic: Building effective agents · Agents versus workflows; the cost and compounding error risk of autonomy; human checkpoints.