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.
2026-04-16 from 18:00 to 20:00 (Europe/London) - Cantarus, Lower Ground Floor, Jutland House, 15 Jutland St, Manchester M1 2BE, Manchester, GB
2026-04-21 from 13:00 to 14:30 (America/New_York) - Online
2026-04-22 from 14:00 to 20:00 (Europe/Copenhagen) - twoday Aarhus, Søren Frichs Vej 44D, 8230 Åbyhøj, Aarhus, DK
Matt Brailsford discusses the significance of Umbraco's 17.4.0 release, which introduces JSON Schema support to the Management API. This enhancement allows AI to understand data structures accurately, transforming content creation and editing by eliminating guesswork. The update promises to improve integrations and facilitate intelligent content workflows across Umbraco.
Matt Brailsford discusses the Umbraco.AI.Prompt package, detailing how content editors can utilize prompt templates for AI-generated tasks like SEO titles and alt text. He explains the syntax, available variables, and the importance of using the image: prefix for image prompts, alongside practical examples and tips for maximizing AI capabilities.
2026-04-16 from 18:00 to 20:00 (Europe/London) - Cantarus, Lower Ground Floor, Jutland House, 15 Jutland St, Manchester M1 2BE, Manchester, GB
Adds an Evaluate Page button to the content editor toolbar which sends the current page's content to an AI model and returns a structured quality report
Bolette Kern introduces the Umbraco in AI Community Team and Advisory Board, comprising 27 experts dedicated to enhancing AI integration in Umbraco. Their mission focuses on developing practical AI tools and improving editorial workflows, ensuring AI solutions meet real user needs while fostering creativity and efficiency in content management.
Matt Brailsford discusses the concept of contexts in Umbraco AI, which serve as reusable containers of knowledge that enhance AI output by providing essential background information. Contexts can include various resource types, such as Brand Voice and Text, and can be assigned at multiple levels, improving the relevance and quality of generated content.