Automation systems in which AI agents can select tools, perform intermediate steps, and execute controlled multi-stage tasks.
Systems may combine agents, tools, APIs, memory, task planning, validation, permissions, and human approval.
Applications include research assistance, technical operations, information gathering, and multi-step data processing.
Implementation is selected according to the available data, technical constraints, required level of automation, and the existing software or research environment. The solution can be implemented as a standalone component or integrated into a larger system.
The resulting system is intended to provide a clear computational workflow that can be evaluated, maintained, and extended as the project develops. Model choice, data processing, interfaces, and deployment can therefore be adapted to the requirements of the specific project.