Why settle for a single AI agent?
The idea behind ETUNIM AI Studio, a product being designed for configuring, connecting and controlling multiple artificial intelligence agents.
Related project: ETUNIM AI Studio
That is the question behind ETUNIM AI Studio. We want to let people configure agents, connect their capabilities and create automations tailored to their needs, while always staying in control of their workflows.
A task is rarely just one task
A simple request, such as preparing a report, hides several steps: gathering information, organising it, checking it is right and presenting it. Asking a single agent to do everything works in many cases, but it makes it harder to see where something went wrong.
The alternative is to divide the work. One agent gathers, another organises, another reviews. Each has a clear role, and the output of one step can be seen and corrected before it moves to the next.
Your agents, your rules
Your agents. Your workflow. Your rules. The phrase sums up what we are aiming for: choosing the tools, defining how they communicate and deciding what needs human approval. Automation should handle the routine, not replace the decisions that matter.
Where we are
The project is at the concept stage and is not available yet. There is no launch date for now. You can read how we expect it to work, and we will publish the next steps here.
Build smarter. Automate faster. Stay in control.