AI Agents
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 guardrails and a record of every decision. For companies looking to automate work that requires reasoning, not just fixed rules.
Delivered by Vitamina Digital, a VitaminaWeb group company.
What you get
- 01Agents with reasoning and planning capabilities
- 02Access to tools, APIs, and systems through function calling
- 03Long-term memory to maintain context
- 04Security guardrails and action limits
- 05Human approval for higher-risk actions
- 06Logging and observability for every agent decision
How it works
- Scope and limits
We define the agent's goal, what it can do, and what requires human approval.
- Prototype
We build the agent with the planning, memory, and tools it needs.
- Real-world testing
We validate it against real-world operational scenarios before launch.
- 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.