Agents
Use a built-in AI assistant to help configure data structures, pages, permissions, and workflows in plain language.
Natural-language setup
Specialized assistants
Draft-first changes
What it is
Agents give Minerva a built-in assistant that understands the structure of your workspace and can help carry out substantial setup work from natural-language instructions. Instead of hunting through many settings, users can describe what they want and let the platform translate that into concrete changes.
This is especially useful when someone knows the business outcome they need but does not want to navigate every configuration screen manually. It shortens the path from idea to implementation.
What the assistant can help with
The assistant is organized around different kinds of work, such as data setup, access rules, app creation, notifications, and automations. That means it is not just answering questions. It is designed to help move real configuration work forward.
For a business audience, the most important point is that the interaction stays outcome-focused. You can ask for a new collection, a better review flow, a dashboard page, or tighter permissions in the language of the business problem you are solving.
- Create or adjust data structures
- Help shape internal apps and pages
- Set up access policies and approval paths
- Assist with automations and related workflow logic
Why it is safer than instant AI changes
The platform does not treat AI suggestions as hidden production changes. Work happens in a draft context first, and users can review what is being proposed before those updates are applied.
This gives organizations a more responsible model for AI-assisted setup. The assistant speeds up execution, but people still remain in control of what ultimately becomes part of the live system.
Where it adds business value
Agents reduce the operational friction around change. Teams can move from “we should improve this process” to a real proposal much faster, which is valuable when internal systems need to evolve continuously.
It also makes platform capability more accessible across the organization. People do not need deep technical fluency to begin shaping useful outcomes, which broadens who can contribute to improvement.
Want the full picture?
This overview is written for business users. If you want the implementation details, configuration depth, or platform behavior behind it, the product docs go further.