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What is an agent

Also known as: AI agent, autonomous agent

Definition

An AI agent is AI software that does tasks, not just answers: it plans steps and uses connected tools, such as a calendar or email, to reach a goal you set.

Why it matters

An agent can carry out several steps for you, with your approval at the points that matter, and that is where both its value and its risk sit.

Common mistakes

Believing an agent cannot go wrong because it is limited to what you set, when instructions hidden in an email or a web page can steer it.

Related terms

Worked exampleIllustration

A member asks a fictional pilates studio's agent to move her class

Goal

Can you move my Thursday 18:00 class to Sunday morning?

Connected

  • Calendar
  • WhatsApp Business

Rule

nothing is sent without the owner's tap

Run log

  1. Read The member writes: "Can you move my Thursday 18:00 class to Sunday morning?"

  2. Check The agent opens the calendar and finds Sunday 09:00 with 4 of 6 places booked.6 − 4 = 2 free

  3. Draft It drafts "Done, you're on Sunday at 09:00" and holds the booking as pending.

  4. Decision: Approve The owner taps approve, and the reply and the calendar change go out.

A chatbot would have answered. The agent did the job, and the tap before sending keeps it your business.

Illustration

A chatbot answers, an agent acts

  1. ReadThursday 18:00 to Sunday morning, please
  2. Check the calendarSunday 09:00: 4 of 6 booked, 2 free
  3. Draft and holdReply drafted, the booking held as pending
  4. Owner approvesNothing goes out without the owner’s tap
  5. Send and updateReply sent, calendar changed
  • Connected tools
  • Calendarconnected
  • WhatsApp Businessconnected

The agent read the calendar, found 2 free places on Sunday at 09:00, drafted the reply and waited. The owner’s tap is where the business stays in charge.

Both read the same message. A chatbot ends at a text reply. An agent opens the tools it is connected to and does the job, and the owner’s approval before sending is the gate.

Definition

An AI agent is a program built on a language model that can act, not only reply. Given a goal, it decides which steps to take, uses the tools it is connected to, such as a calendar, an inbox or a booking system, looks at the result and continues until the task is done or it needs a person. Anthropic's engineering guide draws the line an owner needs when buying: in a workflow, the steps were fixed in advance, while an agent directs its own steps and tool use. "Intelligent agent" is the older textbook term for any system that perceives its surroundings and acts on them.

Why it matters

It can only use what you connect, so the owner's decisions are what to connect, where a person must approve, and how to read the log of what it did. A step that reaches a customer, money or a file you cannot restore should wait for a tap.

Directly related: LLM, Prompt, AI.

Improvement tips

  • Connect the minimum: only the tools and permissions the task needs, and read only access where reading is enough.
  • Put a person's approval before anything that reaches a customer, moves money or changes a file you cannot restore.
  • Read the run log in the first weeks: every step, what it read and what it sent.
  • Start with one narrow task, such as moving bookings, before giving it a second.

Common mistakes

  • Giving it more tools, permissions or freedom than the task needs.
  • Letting it send offers to past customers without checking their consent, when that is advertising under Israeli law.
  • Buying a fixed automation as an agent, or an agent where a fixed automation would do.

Related terms

AI and DataIntermediate

LLM

An LLM (large language model) is AI trained on masses of text to predict the next piece of a sentence. That is how chat tools write answers, right or wrong.

AI and DataBeginner

Prompt

A prompt is the instruction you give an AI tool: the question, the task, the context and the format you want. A clearer prompt gets a more useful answer.

AI and DataBeginner

AI

AI (artificial intelligence) is software that does tasks that used to need a person, such as writing, sorting or predicting, by learning patterns from data.

TechnologyIntermediate

API

An API (application programming interface) is the agreed way one program asks another for data or an action and gets an answer, so your tools can work together.

AI and DataIntermediate

AI Model

An AI model is the trained file at the heart of an AI tool: it takes an input, applies patterns learned from data, and returns a prediction, a label or text.

Quick check

An agent that reads your inbox receives an email with hidden instructions to forward customer files. What protects you best?

Choose an answer

Frequently asked questions

What is an AI agent in simple words?
AI software that does tasks, not just answers. You give it a goal, it plans the steps and uses the tools it is connected to, such as a calendar or email, until the job is done or it needs you.
What is the difference between a chatbot and an agent?
A chatbot answers in text and stops there. An agent can act: check the calendar, change a booking, send a reply. That is why an agent needs limits and an approval step that a chatbot does not.
What is the difference between an agent and an automation?
An automation follows steps someone fixed in advance, such as "send a reminder 24 hours before". An agent decides its own steps toward a goal. Anthropic's guide on agents draws the same line between workflows and agents, and it is worth asking any vendor which one you are buying.
Which tasks suit an agent in a small business?
Repeated tasks with a few steps and a clear end: moving a booking, collecting the details for a quote, sorting and answering routine messages. Start with one, keep your approval before anything goes out, and read the log.
Our agent did something we did not ask for. What went wrong?
Usually it had more tools, permissions or freedom than the task needed, or it read an instruction hidden in an email or a document. OWASP lists both among the top risks for AI applications. Cut its access to what the task needs and add an approval step before actions that matter.
How do I check what the agent actually did?
Through its run log: every step it took, what it read and what it sent. Read it daily at first. If a tool keeps no readable log, treat that as a reason not to connect it to customers.
Can the agent send offers to our past customers?
It can, technically, and that is exactly the point to stop and check. Answering the question a lead asked is one thing. Sending them advertising later by email, SMS, fax or an automatic call is another: section 30A of Israel's Communications (Telecommunications and Broadcasting) Law, 1982, requires the recipient's express prior consent for it, with a narrow exception for existing customers. If you plan to send offers later, ask for that consent on the form, in its own box. The law does not name any app. It limits the action itself, sending advertising without the recipient's prior consent, so the same rule applies whatever app sends the message, WhatsApp being one example. A booking confirmation the customer asked for is a reply to their request, not an offer. Educational material, not legal or tax advice. Check your own case with a lawyer or an accountant.
Does the agent need our customers' personal details?
Often yes, if it works with bookings and chats, so connect only what the task needs and keep the rest out. Israel's Privacy Protection Law, 1981, as amended by Amendment 13, in force since 14 August 2025, governs collecting, keeping and using personal details, including details you paste into or upload to an AI tool. In April 2025 the Privacy Protection Authority published draft guidance on applying the privacy law to AI systems. Educational material, not legal or tax advice. Check your own case with a lawyer or an accountant.
Is an AI agent dangerous?
It can do harm when it has more access than it needs or acts without a check. It can only use what you connect, so connect the minimum, and keep a person's approval before anything reaches a customer, money or a file you cannot restore.
Can an agent be tricked?
Yes. An agent that reads emails, web pages or documents can be steered by instructions hidden in them, which OWASP calls prompt injection and ranks first among the risks for AI applications. Approval before actions, and access limited to the task, are the guard.
Will an agent replace my staff?
It takes over steps, not judgement. Someone still sets its goals, approves what matters and handles what it cannot. In practice it frees time on routine messages and moves a person to checking and exceptions.
Do I need a developer to set up an agent?
For a ready agent inside a tool you already use, often not. For an agent connected to your own calendar, inbox and systems, usually yes, and that person should also set the permissions and the approval steps.

Sources: Anthropic, "Building effective agents", 19 December 2024 (anthropic.com/engineering/building-effective-agents), read 2026-09-25, OWASP Top 10 for LLM Applications 2025, LLM01 Prompt Injection and LLM06 Excessive Agency (genai.owasp.org), read 2026-09-25, Communications (Telecommunications and Broadcasting) Law, 1982, section 30A (nevo.co.il), Privacy Protection Authority, draft guidance on applying the Privacy Protection Law to artificial intelligence systems, 28 April 2025 (gov.il/BlobFolder/rfp/ai_reg/he/ai_regu_draft.pdf), read 2026-09-25, Privacy Protection Authority, Amendment 13 questions and answers (gov.il/he/pages/tikun13_qa), read 2026-08-31

Last reviewed: 2026-09-25

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