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AI agents: what they are and where they really work

How an AI agent works, how it differs from a chatbot and automation, ten tasks with a verdict, seven rules of safety and common mistakes.

Artificial intelligence Updated

In short

An AI agent is a language model that does not just answer but acts: it gets a goal, chooses the next step itself, calls tools — search, a database, a CRM, a browser, code — looks at the result and continues until the goal is reached. That is the difference from a chatbot, which only talks, and from ordinary automation, where the steps are fixed in advance. Agents already work well in programming, research and analysis, in support with actions within set limits and in routine office work with many small decisions. They need what any new employee needs: minimal rights, confirmation of important actions, limits and a log of everything they did.

How an agent works: the loop

  1. A goal

    “Find all unpaid invoices older than 30 days and prepare reminders” — not a sequence of steps.

  2. Tools

    A list of what the agent may call: search in the CRM, reading a table, writing a letter draft.

  3. A step

    The model decides which tool to call and with what parameters.

  4. The result

    The answer of the tool goes back to the model, which decides what to do next.

  5. Boundaries

    Rights, a step limit, a budget and a person’s confirmation for actions that cannot be undone.

  6. The end

    The goal is reached, or the agent stops and reports what blocked it.

Chatbot, automation or agent

Three different things that are often called by one word.

CriterionChatbotAutomationAgent
What it does answers runs fixed steps chooses steps itself
Who decides the order the person the scheme the model
Actions in systems none or few yes, predictable yes, chosen on the go
Predictability medium full lower
Handles the unexpected in words no yes
Cost per task low almost zero higher: many model calls
Best for questions and answers repeating processes varied tasks with many small decisions

Where agents work today

Ten tasks with a verdict: give to an agent, give with a person’s confirmation, or leave to automation or people.

  • Programming tasks

    Agent

    Reading code, making changes, running tests — the most mature area.

  • Research and reports

    Agent

    Search sources, read, compare, write a summary with links.

  • Analysis of data

    Agent

    Queries to a database with read-only rights and explanation of the figures.

  • Cleaning the CRM

    With confirmation

    Finds duplicates and gaps; merging goes after a person’s approval.

  • Support with actions

    With confirmation

    Changes a delivery address itself; refunds above a limit — through a manager.

  • Letters to customers

    With confirmation

    Prepares drafts; a person sends them.

  • Purchases and payments

    With confirmation

    Prepares an order; payment only after confirmation.

  • A nightly export to accounting

    Not an agent

    Fixed steps — ordinary automation is cheaper and more reliable.

  • Legal and financial decisions

    Not an agent

    The agent prepares materials; the decision is made by a person.

  • Deleting data

    Not an agent

    An irreversible action stays with people.

7 rules for a safe agent

An agent is a new employee who works very fast. The rules are the same as for a person, only stricter.

  1. 01

    Minimal rights

    Only the tools and data needed for this task; reading wherever writing is not needed.

  2. 02

    Confirmation of the irreversible

    Payments, sending to customers and deletion go only after a person’s yes.

  3. 03

    Limits

    A maximum of steps, time and money per task — so a loop does not run all night.

  4. 04

    A log of every step

    What it called, with what parameters and what it got — readable by a person.

  5. 05

    Distrust of incoming text

    A letter or a page can contain instructions for the agent — they are data, not commands.

  6. 06

    A test environment first

    The agent works on a copy of the data until it passes a set of real tasks.

  7. 07

    A stop button

    Access is withdrawn in one action, and the agent stops at once.

Common mistakes with agents

  1. An agent where a scheme is enough

    Known steps done by a model are slower, more expensive and less reliable.

  2. Admin rights “to be safe”

    One wrong step with full rights becomes an incident.

  3. No limit on steps

    The agent repeats a failed action again and again and spends the budget.

  4. Instructions from letters

    An agent reading mail follows a command hidden in a stranger’s letter.

  5. Too many tools

    Fifty tools confuse the model; ten well-described ones work better.

  6. Launch without a test set

    Nobody knows how often the agent completes the task until customers say so.

Questions about AI agents

What is an AI agent in simple words?

A model that reaches a goal by itself, step by step, using tools — search, databases, programs.

How is an agent different from a chatbot?

A chatbot answers; an agent acts in systems and decides the order of steps itself.

Can an agent replace an employee?

It takes over part of the routine; decisions, responsibility and unusual cases stay with people.

Is it safe to give an agent access to the CRM?

Yes, with minimal rights, confirmation of important actions and a log — as with a new employee.

What is MCP and why do agents need it?

A standard way to connect tools and data to a model — one connection works with different models.

How much does an agent cost?

More per task than a chatbot: one task is many model calls. Limits keep the bill predictable.

Online form

Agents with rights
and a log

I connect models to your data and tools through MCP — with minimal rights, confirmation of important actions and a log of every step. Tell me about the task — I answer within one working day.

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