This release focuses on reducing manual workarounds, improving usability, and strengthening AI-driven workflows. The goal is to allow Genio users to build richer, more flexible applications with less custom code, lower maintenance effort, and better alignment between UI, data, and automation.
It is now possible to create a full user-management menu directly in Genio. Applications can manage their own users and roles without relying on WebAdmin, making user onboarding, administration, and data migration simpler and more autonomous.
Primary actions can now be defined natively in forms. This removes the need for manual code to visually highlight the main action and ensures a consistent and predictable user experience across applications.
Popups now support configurable horizontal sizing. Users have full control over layout, allowing wider or more complex content to be displayed clearly without layout hacks or usability compromises.
When a warning is shown while saving a form, users can now cancel the operation instead of being forced to proceed. This prevents accidental changes, improves confidence during data entry, and restores expected interaction behavior.
List columns can now be exported regardless of their visibility in the UI. This enables cleaner and more focused lists for end users while still supporting complete data exports for reporting, auditing, and analysis.
Users can now define custom columns without relying on manual code workarounds. This simplifies list customization, reduces maintenance cost, and makes extensions easier to evolve over time.
New filter components allow the use of text inputs and lookup fields to limit the data context of the entire form. This improves usability when working with large datasets and enables new types of search-driven and analytics-focused forms.
MCP tools can now open forms directly on the affected record after execution. This allows immediate inspection, validation, or modification of data, closing the loop between automation and user interaction.
MCP tools can access data using human-readable keys instead of internal primary keys. This removes the need for additional lookup steps, simplifies tool orchestration, and makes AI-driven flows easier to design and reason about.
The MCP interface now provides clearer feedback on tool execution, a more robust and refined UI, and the ability to cancel running tools. These improvements increase transparency, control, and trust when working with AI-driven operations.
Instead of sending the full interaction history on every request, context is now periodically summarized. This reduces payload size, improves performance, and results in more stable, consistent, and scalable AI behavior over time.