PLATFORM

Agents & Subagents From Simple Answers to Autonomous Task Execution

An AI agent is more than a traditional chatbot. While a basic chatbot primarily answers questions, an agent can understand tasks, plan individual steps and use the tools made available to it to achieve a defined objective.

QBIT42 interface: agent settings with model selection and preview

With QBIT42, organizations can create their own agents with access to specific knowledge, individual Skills and selected Tools. An agent can, for example, conduct research, retrieve information from a database, analyze documents and generate a structured report.

For more complex tasks, multiple agents can work together. A higher-level agent coordinates specialized subagents, each responsible for individual parts of the task. This allows even extensive processes to be broken down into manageable steps and executed collaboratively.

Agents can be created and customized directly through the chat interface or the intuitive user interface. Organizations can centrally provide predefined agents or allow employees to share agents they have created with colleagues.

To maintain control even when large numbers of agents are deployed, roles, permissions and usage rights can be assigned individually. Audit capabilities provide additional transparency into the activities and interactions between agents.

Resource consumption also remains transparent. The dashboard shows how many tokens individual agents consume. By selecting appropriate models and optimizing instructions, organizations can actively influence both performance and costs.

Several subagents working together under the coordination of a higher-level agent

From personal AI assistants to teams of hundreds of specialized agents – you decide how far your AI should go.

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