---
title: AI Agents · VitaminaWeb
description: We build AI agents based on LLMs such as GPT, Claude, and Gemini. They receive a goal, plan, use company tools and systems, and execute multi-step tasks with
source: https://vitaminaweb.digital/en/services/ai-agents
lang: en
---

## What you get

- **01**Agents with reasoning and planning capabilities
- **02**Access to tools, APIs, and systems through function calling
- **03**Long-term memory to maintain context
- **04**Security guardrails and action limits
- **05**Human approval for higher-risk actions
- **06**Logging and observability for every agent decision

## How it works

1. **Scope and limits**

  We define the agent's goal, what it can do, and what requires human approval.
2. **Prototype**

  We build the agent with the planning, memory, and tools it needs.
3. **Real-world testing**

  We validate it against real-world operational scenarios before launch.
4. **Deployment and iteration**

  We deploy it with monitoring and adjust prompts and tools based on usage.

## When it makes sense

We have tasks that require reading, comparing, and making decisions, and a person currently handles them.

Our chatbot answers questions but doesn't solve the customer's problem.

We want to use AI, but we need control over what it can do.

Reports and analyses take up hours of our team's time every week.

## Frequently asked questions

 What's the difference between a chatbot and an AI agent?

A chatbot answers questions within a defined scope. An agent receives a goal, plans how to achieve it, uses tools such as APIs, databases, and search, and takes action. It's the difference between looking up an FAQ and having an assistant that solves the problem.

 Can the agent do anything?

No. We define clear guardrails: what the agent can execute, what requires human approval, and what's prohibited. Security is built into the architecture.

 Which LLM do you use?

It depends on the use case. We can use GPT for complex reasoning, Claude for long documents, and Gemini for multimodal content, including different models within the same agent.

 What types of agents have you built?

Examples include an agent that analyzes contracts and generates a risk report, a market research agent that synthesizes multiple sources into an executive report, and a support agent that analyzes tickets and suggests a solution to the support representative.

 How much does it cost and how long does it take to build an agent?

It depends on the task's complexity, the tools involved, and the systems to integrate. The timeline and investment are set in the proposal after the scope is defined.

## Often goes together with

  [**Automation Assessment**Process mapping and ROI calculation before automation.](https://vitaminaweb.digital/en/services/automation-assessment)[**n8n Automation**Self-hosted workflows, without vendor lock-in.](https://vitaminaweb.digital/en/services/n8n-automation)[**Agents with RAG**Answers based on your company’s knowledge base.](https://vitaminaweb.digital/en/services/agents-with-rag)