Jason Prothero introduces the ProWorks Umbraco.AI Page Evaluator, an open-source tool that enhances website content quality by providing structured feedback on clarity, SEO, and brand alignment. Integrated within Umbraco, it allows for efficient evaluation of pages before publication, reducing the risk of inaccuracies and ensuring brand consistency.
2026-05-07 from 14:00 to 20:00 (Europe/Stockholm) - Camelonta, Hammarby Kajgata 12, Stockholm, SE
2026-05-12 from 14:00 to 20:00 (Europe/Copenhagen) - Ecreo, Stærmosegårdsvej 8, Odense, DK
2026-05-14 from 18:00 to 19:30 (Europe/Copenhagen) - Online
2026-05-14 from 18:00 to 21:00 (Europe/London) - Novicell UK, 21-33 Great Eastern Street, London, GB
Matt Brailsford announces the integration of speech-to-text functionality in Umbraco.AI, enhancing user interaction with new microphone features in Copilot and Tiptap. This capability allows users to dictate content seamlessly, supported by a management API and a dedicated service for developers. Future enhancements may include real-time transcription and text-to-speech features.
In this Umbracoffee episode, hosts chat with Matt Brailsford about Umbraco AI—covering Claude usage, semantic search, uploads, speech-to-text, and its evolution into a flexible, provider-agnostic framework for AI-powered CMS development.
2026-05-07 from 14:00 to 20:00 (Europe/Stockholm) - Camelonta, Hammarby Kajgata 12, Stockholm, SE
Phil Whittaker discusses the development of Implementation Agent Skills for Umbraco, aimed at surfacing "quiet standards" to enhance CMS project quality. By consolidating community knowledge, these skills will guide developers in best practices without enforcing rigid rules, ultimately improving project outcomes and fostering a sustainable knowledge base within the Umbraco ecosystem.
Matt Brailsford discusses the integration of Microsoft.Extensions.AI (M.E.AI) and the Microsoft Agent Framework (MAF) in developing AI capabilities for Umbraco. The use of IChatClient and middleware patterns enabled efficient feature development and agent orchestration, allowing for scalable, transferable skills while maintaining a cohesive architecture.
Matt Brailsford discusses the implementation of guardrails in Umbraco.AI, which are safety policies that evaluate content before and after AI model interactions. Guardrails consist of evaluators, phases, and actions to manage inappropriate content. They are customizable and essential for maintaining content integrity in AI-driven systems.
In his video, Paul Seal demonstrates how custom tools for Umbraco AI can automatically generate and publish a fully structured blog article from a single prompt. He showcases features like content block population, image insertion, and real-time article publishing, highlighting the potential of these tools for enhancing editorial workflows.
In the video, Paul Seal demonstrates how to use Umbraco AI to create and publish a fully structured article in about 20-30 seconds. He showcases the tool's ability to automatically populate content blocks, insert quotes, and add images, highlighting its potential to enhance editorial workflows on Umbraco 17.
2026-04-22 from 14:00 to 20:00 (Europe/Copenhagen) - twoday Aarhus, Søren Frichs Vej 44D, 8230 Åbyhøj, Aarhus, DK
Experimental community Browser AI provider for Umbraco AI.
Matt Brailsford introduces Umbraco.AI.Search, a semantic vector search add-on for Umbraco that enhances search capabilities by understanding user intent rather than relying solely on keyword matching. This tool addresses limitations of traditional searches, supports multilingual queries, and integrates with Umbraco.Cms.Search, offering improved content discovery and related content features.
Matt Brailsford discusses the new file upload feature in Umbraco.AI, allowing users to drag and drop documents into Copilot. The system supports various file types, enabling text extraction from Office documents and direct processing of images and PDFs. The extensible architecture allows for additional file formats to be integrated seamlessly.