01
More than a chatbot
A chatbot usually responds to a prompt with text. An agent goes further and can perform actions. It may search documents, make summaries, fetch data from another system, draft a response or trigger a workflow.
Application - 6 min
What is an AI agent?
An AI agent is a system that does not just respond with text, but can also take steps toward a goal. That can include retrieving information, making choices, using tools and carrying out part of a task automatically.
5 sections Practical explanation For teams and organizations
02
How does an agent usually work?
An agent often combines instructions, context, tools and decision logic. It receives a goal, determines the next useful step, uses external functions or data where needed and then returns a result or next action.
03
Where is the business value?
Agents are most useful for recurring tasks with recognizable steps. They can reduce manual effort, shorten waiting times and make processes more consistent. The biggest value appears when the agent is embedded in a clear workflow with defined permissions and limits.
04
Where is the risk?
The more autonomy you give an agent, the more important logging, access control, validation and checkpoints become. An agent that can act in systems without clear boundaries can scale mistakes just as easily as it can scale productivity.
05
Why starting small is often smarter
In many cases, it is better to begin with a narrow agent task, such as preparing information or drafting responses. That lets you learn where the system is reliable and where human review is still necessary. Strong agents usually grow from sharply defined tasks, not vague hopes of full autonomy.
Continue reading
Continue 01
What is an LLM?
An LLM is a large language model that can understand, predict and generate text. It often feels smart, but the quality of the result still depends heavily on context, model choice and how you use it.
Open article
Continue 02
What is edge AI?
Edge AI means AI runs close to the source of the data, for example on a device, server or local network. This can improve speed and often gives more control over privacy, continuity and cost.
Open article
Continue 03
What is RAG?
RAG is a way to let a language model retrieve relevant information from documents or a knowledge base before it answers. That usually leads to answers that are more specific, grounded and useful for your own organization.
Open article