Featured Stories

AI agents can plan tasks, call tools and adjust their approach as the work unfolds, but the knowledge they start with is frozen at training time. In this post, we'll discuss how RAG helps AI agents retrieve current, relevant and verifiable information before they reason or act, so their decisions rest on real sources instead of model memory.

Choosing a CMS is a long-term decision. Learn the risks to watch for, from editorial fit to cost and AI readiness, plus a free vendor scoring framework.

This article argues that the biggest shift in AI design tools isn't better mockup generation—it's the emergence of agents that work directly on the design canvas, much like coding agents now operate inside code repositories. It maps the leading agentic design tools by where their agents live (canvas-native versus code-native) and contends that the most important strategic decision isn't which tool has the best AI, but where a team's source of truth resides: the design file, the codebase or the running product. Ultimately, the piece concludes that a well-structured design system has become the foundation of effective AI-assisted design, making workflow architecture—not flashy features—the key factor in choosing the right tool.

Progress Agentic RAG ranked #1 on Snowflake's MADQA Leaderboard, an independent benchmark built with Oxford, UNC-Chapel Hill, and Hugging Face that tests whether AI answers are accurate and properly grounded in real documents, not just plausible-sounding. The win validates a year of work since the Nuclia acquisition building the Agentic Knowledge Layer (agentic capability embedded across ingestion, retrieval, and evaluation) and lands as the broader market shifts toward trust and governance as the deciding factor for enterprise AI.

This blog highlights how OpenEdge developer Michael Whelan used the OpenEdge MCP Server, PAS for OpenEdge and AI to securely connect existing enterprise systems to natural-language workflows, showing how organizations can modernize user experiences without replacing the trusted business logic they already rely on.

Accessibility standards for public-sector websites can be complicated to manage when ongoing operations are spread across regions and departments. The CMS should help.

Traditional RAG systems are designed around a simple idea: find the most relevant information, add it to the prompt and generate an answer. This works well for questions where the answer can be found in a small set of relevant documents.

An agentic workflow is a multi-step process where an AI agent plans the steps, picks tools, acts and adjusts based on what comes back, instead of following a script written in advance. In this post, we walk through how that loop runs, where it beats traditional automation, and the guardrails it needs in production.

Hybrid search combines keyword and semantic retrieval so one retriever handles both exact tokens and reworded concepts, not either alone.