Nidhi Paneri | Blogs

AI in Sitecore is moving beyond simple prompt-and-response experiences. Instead of asking AI to create one piece of content at a time, we can have multiple AI agents work together, with each agent responsible for a specific task. That is where Sitecore Agentic Studio Spaces becomes interesting. In this example, we will create a simple content workflow using three agents: Researcher Agent – researches and prepares the required information. Bulk Content Generator Agent – uses the research to generate content artifacts for multiple products and channels. Translator Agent – translates the generated content into the required languages. The overall flow is: Research → Generate → Translate → Convert to Sitecore Items Step 1: Create a Space and Add the Agents Start by creating a new Space in Sitecore Agentic Studio. Provide a name and objective for the Space, select Start from scratch , and create the Space. Next, add the required agents u...

Sitecore development is moving quickly, especially with Content SDK, Sitecore Agents, and AI becoming a bigger part of the XM Cloud ecosystem. These are not separate trends. They are starting to work together and change how we build and manage Sitecore applications. Content SDK: The New Development Foundation For developers coming from JSS, Content SDK is becoming the modern way to build SitecoreAI applications. It works with modern frameworks like Next.js and provides capabilities for content, search, personalization, analytics, preview, and more. The recent Content SDK 2.x releases have also introduced AI and agent skills, making it easier for AI coding tools to understand Sitecore-specific development patterns. So instead of AI generating generic code, it can have better context about how a Sitecore application should be built. From AI Assistant to AI Agent There is a difference between asking AI a question and giving an AI agent a task. An AI assistant might help us write a compone...

In my previous article, I explored the core concepts of Sitecore Agentic Studio and explained how AI agents can help automate content creation and marketing workflows. While Sitecore provides several prebuilt agents to get started, you don't always need to create a new agent from scratch when your requirements change. Instead, you can edit an existing agent to improve its behavior or duplicate an agent to create a customized version for a different use case. Understanding when to edit, duplicate, or create a new agent can save time, promote consistency, and help you build reusable AI solutions. In this article, we'll explore both approaches with practical examples and walk through the steps involved. Why Modify an Existing Agent? As organizations begin using AI more frequently, their requirements naturally evolve. For example: Your marketing team wants a different writing tone. Developers need more technical documentation. Product teams requ...

Artificial Intelligence (AI) is transforming how organizations create and manage digital experiences. While many AI tools focus on generating content or answering questions, the next evolution is AI that can perform tasks, follow workflows, and help automate everyday business processes. To support this shift, Sitecore introduced Agentic Studio, a workspace within Sitecore AI that enables teams to work with AI agents, build workflows, and automate content and marketing activities. Agentic Studio gained significant attention during SUGCON India 2026 through various sessions presented by community members, highlighting how AI agents and workflows can be used to support content creation, marketing activities, and business processes. This article introduces the core concepts of Agentic Studio and provides an overview of its key components to help teams get started. What is Agentic AI? Most AI tools operate using a simple prompt-and-response model. A user asks a question or provide...