Makers will no longer need to go to the Power Platform admin center to create offline profiles for Canvas mobile apps. This feature will enable easy offline profile creation in the app development flow via the app's settings menu. All new features to control sync and improve user experience will be available to both model-driven and Canvas apps with this change.

In the settings of your offline-enabled app in the maker portal, you can customize the offline profile for an optimized data loading experience for your users. For each table, you can select the columns that are required in the app:

• Use the suggested columns computed by the system.
• Manually select the columns.

On the main page for the offline profile, you can view the number of columns selected for download for each table.

Power Apps canvas mobile app users will get a new setting on the Device Status page to choose whether their data syncs on cellular networks and Wi-Fi connections, or only when connected to a Wi-Fi network.

The refreshed header and navigation provide a more modern, intuitive, and efficient experience across the app shell, form page, and view page. These updates reduce visual clutter, improve access to important actions, and support a consistent look and feel across devices.

Key updates include:

• Modernized app header: Simplified app header layout with improved spacing and icons that align with modern design principles with increased brand coherence with Microsoft 365 apps.
• Streamlined sitemap: Decluttered sitemap with improved structure and readability to help you find what you need faster.
• Condensed page headers: Form and grid page headers now take up less vertical space, maximizing visible data and reducing the need to scroll.

This feature is automatically applied to all apps generated by the Plan Designer. It is available as an opt-in capability for existing apps.

New APIs allow the execution of a topic on the Microsoft Copilot Studio custom agent, which powers the model-driven app. These APIs have been incorporated into the Client API and the Power Apps component framework API. These APIs make it easier for developers to seamlessly bring custom AI intelligence into the flow of work for their business users. Developers can use these AI APIs as they build custom code through surfaces like web resources or PCF.

Both Client API and Power Apps component framework API have two new APIs:

• The executeEvent API uses the event name to call a specific Copilot Studio topic and passes app, page, and record context. This API also accepts additional context.
• The executePrompt API uses the prompt for Copilot Studio to orchestrate the topic to call. This API also passes the same app, page, and record context.

These APIs leverage the custom agent outlined in Customize Copilot chat using Copilot Studio (preview).

The new agent response component allows the execution of a topic on the Microsoft Copilot Studio custom agent. This component can be added into a model-driven form and pass an event name to identify the topic.

The component supports displaying text in a markdown format or adaptive card. Use of an adaptive card enables media like videos and images.

You can easily find, filter, and sort your data using natural language grid filtering, which eliminates the need for complex, advanced filters by allowing you to describe what you're looking for.

For example, if you ask for cases that are high priority with an overdue follow-up by date, this filters your view to only show those relevant cases. Using natural language saves time as you no longer need to use column filters or advanced filters.

Supported features:

• Filtering of records
• Sorting
• Text search

Please note that this feature is currently in preview. It will be enhanced with each weekly release and can be turned on through the admin setting 'Natural Language Grid and View Search'.

Are you tired of creating new tables, only to discover that they duplicate existing ones in your environment? Say hello to a smarter way of designing data models using the Copilot-assisted ERD designer. Now, instead of starting from scratch, you can leverage your existing tables to build more robust data models. Here’s how it works: Simply type out your requirements in natural language, and Copilot will craft a multi-table data model that incorporates both new and existing tables. Need to find relevant tables quickly? Copilot’s recommendations have you covered and will locate the right tables in seconds. Once you’ve assembled your tables, switch to the ERD view. There, you can review your new and existing tables side-by-side. While editing existing tables in the ERD view isn't fully supported yet, you can create lookups into the existing tables in a simple drag-and-drop interaction to define meaningful connections between tables.