Sr. Director – Technology | Sitecore Technology MVP
While exploring custom MCP connectors in SitecoreAI Agentic Studio, I ran into an issue when trying to add a few self-hosted and vendor-provided MCP connectors like Asana, Vercel, etc.
Every attempt resulted in the same error: “Failed to connect custom connector”
Continue reading “SitecoreAI Agentic Studio: “Failed to connect custom connector” When Adding Custom MCP Connectors? Here’s Why” Discover how the open‑source Agentic Compliance Insights module brings generative AI into SitecoreAI to audit and improve your pages.
This post covers the motivation for automating compliance checks, the multi‑agent architecture behind the module, setup instructions, and how you can customize the solution for your own organization.
Continue reading “Agentic Compliance Insights – AI‑powered content governance for SitecoreAI” In today’s fast-paced digital landscape, the demand for efficient and accurate content creation is ever-increasing. Traditional methods often involve manual processes that are time-consuming and prone to errors. Anthropic’s Computer Use Model—a groundbreaking AI capability emulates human-computer interactions to automate complex workflows. When integrated with content management systems like Sitecore, this model can automate content operations from authoring to publishing at scale, and allows teams to focus on high value strategic tasks.
Continue reading “Accelerating Content Ops with AI: Automating Content Authoring & Delivery with Anthropic Computer Use” Improving product searchability is essential for any commerce website. Traditional search experiences typically rely on keywords and synonyms, but they often fail to capture the user’s intent effectively. Understanding intent through keywords alone is challenging, as many words in English have multiple meanings, and their true meaning depends on the context of the entire query. To address this challenge, we can leverage vector embeddings from AI models alongside a search platform that supports vector-based retrieval, enabling intent-based search and delivering more relevant results beyond basic keyword matching.
Continue reading “Enhancing Product Discovery: Implementing Semantic Search with OrderCloud and Azure AI Search” In today’s digital-first world, delivering highly relevant search results is crucial to providing exceptional user experiences. Semantic search ranking takes search capabilities to the next level by understanding the context and intent behind a user’s query, rather than relying solely on keyword matching. This approach not only improves relevancy but also enhances user engagement by presenting results that truly align with their needs. This blog explores how Sitecore Search leverages semantic search to deliver smarter, more accurate results.
Continue reading “Sitecore Search: Enhancing Search Relevancy with Semantic Search Ranking” One of the pivotal announcements at the recent Sitecore Symposium was the introduction of the API Platform within Sitecore Connect. While webhooks have been a valuable tool for handling integrations and scheduled jobs, they present several challenges when used for more complex and business-critical requirements. These challenges include limitations in delivering authenticated APIs, lower rate limits, lack of queuing strategies, inability to deliver customized responses (e.g., pre-hook webhooks in OrderCloud), etc. The API Platform is built to address these limitations by offering a robust, scalable, and secure solution tailored for business-critical, complex, and high-volume events while delivering additional benefits like better performance, security, and operational efficiency.
Sitecore Connect/Workato Webhooks offer a powerful way to integrate Sitecore with external systems for seamless, real-time data exchange and event-driven automation. However, there are cases where customizing the webhook response becomes essential. For example, you may need the webhook to return a 201 Created status code or a custom JSON format (e.g., OrderCloud Pre-hook). Unfortunately, Sitecore Connect/Workato Webhooks default to a 200 OK response, and changing this isn’t always straightforward.
In today’s rapidly evolving digital landscape, providing real-time, accurate, and contextually relevant customer interactions is essential but challenging. Traditional AI models are often limited by pre-training cutoffs, leaving a gap in timely knowledge delivery. Google’s Vertex AI Agent Builder, combined with Sitecore, offers a powerful solution to this challenge. Leveraging advanced machine learning models and Google Search Grounding, Vertex AI enables businesses to build dynamic, interactive AI applications that deliver current, context-driven information to enhance user engagement and satisfaction.
Google Cloud Services, like Cloud Storage, Vertex AI, BigQuery, etc., are powerful cloud-based tools that could enhance your operations when integrated with Sitecore. However, authentication to Google Cloud follows a two-legged OAuth flow and can be challenging. This blog covers the steps involved in creating Service Account credentials and includes the SPE script that generates the JWT to retrieve a Google Access token, allowing you to easily streamline the authentication process for all background jobs that interact with Google Cloud services.
